Het overzicht van de statistiek van de lonen bij het beroep "E-Learning in Nederland"

FunctieomschrijvingJe maakt van de melding een analyse en registreert het. Je lost waar mogelijk belemmering zelf op en wijst ze toe aan de juiste supportgroepen. Signalering van veel voorkomende problemen, de statusbewaking van openstaande problemen en periodieke verslaggeving; Hulp bieden bij het beheren en nakijken van systemen en infrastructuren, dit bestaat uit het: configureren, installeren, testen en onderhouden van de applicatie software op afstand. Originele oplossingen aan te bieden die binnen de mogelijkheden van de geleverde omgeving haalbaar zijn. Hierbij de klant kunnen overtuigen van de gekozen oplossing, je bent een serieuze en behulpzame gesprekspartner; Tegenslagen kan je op een professionele manier oplossen; Accountmanagers op de juiste wijze de koopsignalen doorgeven Functie-eisenHBO opleiding informatica; Aantal aantoonbare jaren ervaring in een vergelijkbare functie; Ervaring met telefonische ondersteuning; Kennis en ervaring met Microsoft Windows server; SQL Server en Azure platforms, Kennis of ervaring met werken volgens de procedure (Incidentmanagement, ITIL); Kennis en ervaring met Azure DevOps en TOPdesk Communicatieve vaardigheden om de juiste informatie over te brengen Nederlands (Verbaal en schriftelijk) Engels is een must (Verbaal en schriftelijk) Duits of Frans is een pre (Verbaal en schriftelijk) Sociale vaardigheden Je kan geordend werken en je bent een doorzetter met hoge mate van zelfsturend en je kan problemen oplossen; Je handelt volgens de regels, je kan tegen druk, je bent service gericht en je bent collegiaalBedrijfsomschrijvingDit Rotterdamse bedrijf heeft de typische Rotterdamse aanpak: rechtstreeks op je doel af gaan. Hun specialiteit is het realiseren van customised e-learning producten. Wat voor soort onderwijs is afhankelijk van de opdrachtgever. Deze manier van leren brengt niet alleen mens en leerstof bij elkaar, maar brengt ook mensen nader tot elkaar. E-learning producten van dit bedrijf zijn prettig in gebruik en natuurlijk doeltreffend. E-learning wordt op allerlei niveaus en voor allerlei doelen gerealiseerd. Opleiding, coaching, workshops, noem maar op. Elektronisch leren kan in feite overal, want je logt in met behulp van een website of app. Zo kunnen de studenten hun verloren uurtjes invullen en zelfs nuttig bezig zijn als ze op de bus staan te wachten. Bij het ontwikkelen van de producten komen bijvoorbeeld C# en Webservices om de hoek kijken, net als SOAP. Wat hier bedacht en uitgevoerd wordt, is innovatief van karakter. E-learning is heel divers, waardoor jouw werkdagen altijd anders zijn. Je collega´s en jij vormen een enthousiast en technisch uitstekend onderlegd team dat niet rust voordat de opdrachtgever helemaal tevreden is. De opdrachten kunnen ook bestemd zijn voor e-publishing. Dit is echt een hele afwisselende baan in een bruisende werkomgeving.SollicitatieprocedureContactgegevensBedrijfsnaam: sQoutContactpersoon: Solliciteren @sQoutAdres: Rivium 2e straat 24Postcode/plaats: 2909 LG CAPELLE A/D IJSSELTelefoon: +31102427595Email: [email protected]

FunctieomschrijvingFunctie: Voor het salesproces de administratie verwerken. Ervoor zorgen dat iedereen de huidige status weet en welke bijdrage wanneer van wie verwacht wordt. Het salesproces in de gaten houden. Je zorgt ervoor dat de afspraken nagekomen worden en dat acties worden uitgevoerd. Je ondersteunt het accountmanagement. Je zorgt ervoor dat offertes worden uitgewerkt, uitgebracht en na gebeld worden. Je stelt ook contracten op. Functie-eisenHBO/WO werk- en of denkniveau; Ervaring tonen van een vergelijkbare functie; Kennis van administratieve systemen; Kennis met Office 365; Heeft Ervaring met de procedures van Europese aanbestedingen is een pre; Heeft kennis/ervaring met digitale scholing Heeft kennis met uitgeefprocessen Communicatieve en sociale vaardigheden voor het overdragen van informatie en realiseren van interne en externe doelstellingen. zowel verbaal als schriftelijk, in het Nederlands is een must en in het Engels is een pre; Je bent netjes, geordend en een doorzetter en je hebt een doelbewust vermogen; Je bent gewend aan orde en regelmaat je bent stressbestendig en service gericht. BedrijfsomschrijvingDit Rotterdamse bedrijf heeft de typische Rotterdamse aanpak: rechtstreeks op je doel af gaan. Hun specialiteit is het realiseren van customised e-learning producten. Wat voor soort onderwijs is afhankelijk van de opdrachtgever. Deze manier van leren brengt niet alleen mens en leerstof bij elkaar, maar brengt ook mensen nader tot elkaar. E-learning producten van dit bedrijf zijn prettig in gebruik en natuurlijk doeltreffend. E-learning wordt op allerlei niveaus en voor allerlei doelen gerealiseerd. Opleiding, coaching, workshops, noem maar op. Elektronisch leren kan in feite overal, want je logt in met behulp van een website of app. Zo kunnen de studenten hun verloren uurtjes invullen en zelfs nuttig bezig zijn als ze op de bus staan te wachten. Bij het ontwikkelen van de producten komen bijvoorbeeld C# en Webservices om de hoek kijken, net als SOAP. Wat hier bedacht en uitgevoerd wordt, is innovatief van karakter. E-learning is heel divers, waardoor jouw werkdagen altijd anders zijn. Je collega´s en jij vormen een enthousiast en technisch uitstekend onderlegd team dat niet rust voordat de opdrachtgever helemaal tevreden is. De opdrachten kunnen ook bestemd zijn voor e-publishing. Dit is echt een hele afwisselende baan in een bruisende werkomgeving.SollicitatieprocedureContactgegevensBedrijfsnaam: sQoutContactpersoon: Solliciteren @sQoutAdres: Rivium 2e straat 24Postcode/plaats: 2909 LG CAPELLE A/D IJSSELTelefoon: +31102427595Email: [email protected]

We have an opening for an Assistant Professor to strengthen our position in the field of Science, Technology, Engineering, and Mathematics (STEM) higher education. STEM education is primarily concerned with the theories, tools, methods, and approaches that facilitate the practice of STEM or the study of STEM through an interdisciplinary approach. As such, the field engages with questions related to STEM literacy, STEM thinking, problem-solving, critical thinking, teaching and learning, as well as connections between the STEM disciplines.We offer you a full-time position and excellent career opportunities in our faculty’s career system Career Paths in Science and Engineering, including the perspective to get a permanent appointment (tenure) in 1-3 years and become Full Professor in approximately 10 years.As Assistant Professor with a focus on research you will:- play a significant role in the development of research and education at the Faculty of Science and Engineering, both at the course and the program level, in the area of STEM education- set up and develop your own research line and research group as part of the Institute for Science Education and Communication- supervise PhD students in the Institute for Science Education and Communication- acquire external funding- promote the societal relevance of your research- contribute to the organization of the faculty, for example by participating in working groups and committees- teach an introductory course in one of the undergraduate programs of the Faculty of Science and Engineering- supervise scientific research projects in STEM education for the students in the master’s program Science Education and Communication- teach the master’s level course “Research Methods in Education” - contribute constructively to interdisciplinary collaboration in Science, Technology, Engineering and Mathematics (STEM) education at the Institute and Faculty levels- participate actively in international research networks.At the stage of Assistant Professor, 60% of your time is dedicated to research, 30% to teaching and education development, and 10% to organizational tasks.OrganisationThe University of Groningen is a research university with a global outlook, deeply rooted in Groningen, City of Talent. Groningen is the lively capital of the Northern Netherlands with a high quality of life and affordable living conditions. The University has 37000 students in BSc and MSc programmes, 4400 PhD students, and 4600 staff members. Our students and staff come from all around the world.Quality has been our top priority for over four hundred years, and with success. The University is currently in or around the top 100 on several influential ranking lists. The Faculty of Science and Engineering (FSE) is the largest faculty within the University. We offer first-rate education and research in a wide range of science and engineering disciplines, from classical disciplines such as mathematics, astronomy and mechanical engineering, to interdisciplinary fields such as artificial intelligence, pharmacy and nanoscience. At FSE, education and research are strongly intertwined, and we value a strong disciplinary basis for our students. Our programmes in science and engineering, while diverse, share a common view on best practices for research-driven, international education. We are proud of the open, inclusive, and informal character of our community.The position we offer will be embedded in the Centre for Learning and Teaching which aims to improve Science, Technology, Engineering, and Mathematics (STEM) education at the university level through research. This is done through explorative and intervention-based studies that include the development, implementation, and impact evaluation of curriculum materials, course design, pedagogical tools and instructional strategies as well as the use of digital tools in teaching and learning.The Centre for Learning and Teaching works closely with the Science Shop, Science LinX, research schools (e.g. Aletta Jacobs School of Public Health) institutes and units (e.g. Teacher Education, Professionalisation and Innovation of Education, Science and Society, Diversity, Equity and Inclusion) at the University of Groningen and it is affiliated with international organizations and associations (e.g., European Society for Research in Mathematics Education, Young European Researchers in Mathematics Education, International Group for the Psychology of Mathematics Education, European Science Education Research Association, National Association of Research in Science Teaching).The two-year MSc-programme Science Education and Communication caters to students with a BSc in science, mathematics or engineering, and trains them to become either a science teacher in high school or a professional in the broad field of science communication.Requirements: We seek candidates with the following qualifications and skills: - a PhD degree in STEM Education or a related field (e.g. Science Education, Mathematics education, Biology Education, Artificial Intelligence in Education) with a focus on higher education - excellent research skills in research methodologies relevant for studying STEM learning and teaching in higher education: quantitative and/or qualitative research methods, practice-based research, participatory action research, or ethnography- excellent research qualities, as shown by a publication record in international peer-reviewed journals and proceedings of renowned conferences and a research statement- a great affinity with and a good track record in teaching, appropriate for the career stage- preferably at least two years of postdoctoral experience outside of the Netherlands- a relevant international network- the potential to acquire substantial research grants from external sources- demonstrable communicative and organizational competences- the ambition and the potential to develop academically- the ability to work well with others in international and diverse teams- good command of spoken and written English.Furthermore, we expect all new staff members to either have a University Teaching Qualification (Dutch: Basiskwalificatie Onderwijs) or obtain it within 3 years and, if they do not already speak it, to learn the Dutch language within at most five years. Salary Benefits: The Faculty of Science and Engineering of the University of Groningen was the first on the European mainland to introduce a tenure track career policy, 20 years ago, and with significant success. We have attracted great talents that have contributed strongly to the worldwide leading position of our faculty’s ten research institutes. Our career system has helped our staff members to develop highly successful and rewarding academic careers. The latest version of this system, ‘Career Paths in Science and Engineering’, offers:- diverse career paths with a focus on research, education or impact - dynamic career paths, in which staff members can switch focus in the course of their career- promotion to Assistant Professor level 1, in combination with a permanent contract, already after 1 - 3 years, provided the relevant criteria are met - promotion to Associate Professor after 5 years, and promotion to Full Professor after another 5 years, if the corresponding criteria are met- significant freedom for staff members whether and when to apply for promotion.For more information about Career Paths in Science and Engineering, see: https://www.rug.nl/fse/meet-the-faculty/vacatures/vacatures/careerpaths/. Please consider the career path with a focus on research for the criteria for tenure and for promotion to more senior position.As starting conditions, we offer a salary, depending on qualifications and work experience, from € 4,332 up to a maximum of € 6,737 gross per month (scale 11 or 12 CAO Dutch Universities, depending on your career stage) for a full-time position as Assistant Professor. Additionally, we offer:- a holiday allowance and an end-of-year bonus of respectively 8% and 8.3% of your yearly salary- a pension scheme- maternity and parental leave- the possibility of working part-time (0.9 FTE or 0.8 FTE)- a mentor programme and a broad range of opportunities for personal development- dual career support for partners of new faculty members moving to Groningen.Consider our website for more information about the working conditions at the University of Groningen: https://www.rug.nl/about-ug/work-with-usWork Hours: 38 hours per weekAddress: Broerstraat 5

The successful applicant will join the Industrial Engineering and Business Information Systems (IEBIS) section of the High-Tech Business & Entrepreneurship Department (HBE) at the Faculty of Behavioural, Management and Social Sciences (BMS). Background This Ph.D. position is one four positions at the University of Twente (UT) and one of 19 positions in the context of the international Marie Sk?odowska-Curie Actions project DIGITAL. For the general description of DIGITAL and its Ph.D. positions, please check this page. Information about all other positions is available at EURAXESS, if you would be interested in any of the other positions as well, clearly state that in your cover letter. DIGITAL' main goal? To significantly advance the methodologies and business models for Digital Finance through the use of five interconnected research objectives: Ensure sufficient data quality to contribute to the EU's efforts to build a single digital market for data;Address deployment issues of complex artificial intelligence models for real-world financial problems;Validate the utility of pioneering eXplainable Artificial Intelligence (XAI) algorithms to financial applications and extend existing frameworks;Design risk management tools concerning the applications of Blockchain technology in Finance;Simulate financial markets and evaluate products with a sustainability component.The challenge Reinforcement Learning (RL) has become a popular paradigm for automating decision-making under uncertainty in complex environments. Although deep RL has had several breakthroughs in recent years and proven impressive algorithmic performance in closed environments, it has not yet found its way to real-world applications in open environments. In practice, RL algorithms have to work with imperfect data, be integrated into existing ecosystems, and be of use to human decision-makers. Additionally, the financial sector is subject to heavy regulation and high standards concerning risk management, fairness, and explainability. Although successful integration of RL may enhance the quality of decision-making in digital finance, several hurdles need to be overcome. Thus, this Ph.D. project examines how RL can advance digital finance. You will address several RL implementation issues in digital finance, including both technical challenges and domain-specific ones. Utility-based RL results will improve financial decision-making by developing multi-criteria analysis, extreme scenarios, and risk management methods. RL in decision support will be optimized for explainability, regulatory compliance, model abstractions, and human judgment. We will also examine technological challenges like digital twin environments, machine learning pipelines, and digital finance ecosystem integration.Requirements: We look for a highly motivated, enthusiastic researcher who is driven by curiosity and has/is: General skills:Master’s degree or equivalent experience in Business, Economics, Engineering, Information Technology, Computational Science or related fields;A strong passion and outstanding skills in data science and experience working with programming languages and statistical software such as Python, R, Stata or SAS;Knowledge of quantitative modeling of financial markets, econometric techniques, machine learning, or quantitative empirical research methods;The ability to work on real-world problems in an interdisciplinary and internationally oriented environment;Good communication skills and an excellent command of English.Project-specific skills:Good programming skills. Experience with machine learning libraries (e.g., TensorFlow, PyTorch, Jax) is helpful;Strong mathematical background, in particular statistics & probability, linear algebra, calculus, optimization, and Markov decision processes;Knowledge of data engineering concepts such as machine learning pipelines, product deployment, and data ingestion;Interest in practical applications of reinforcement learning, with attention to aspects such as explainability and regulation;Familiarity with reinforcement learning (machine learning) is a plus. Interested and motivated candidates are encouraged to apply, even when not yet possess all desired skills. Through self-driven learning and doctoral training, you will be able to develop relevant skills on the job. Secondments at Industry and the European Central Bank This Ph.D. position includes two research stays at industrial partners: Provisionally, you will be 18 months at CardoAI in Milan, Italy. Second, you will have six months at the European Central Bank (ECB) in Frankfurt, Germany. During those secondments, you will gain hands-on experience on industry-relevant research projects related to applications of AI in finance. Precise details are subject to change.Salary Benefits: We encourage high responsibility and independence while collaborating with colleagues, researchers, other university staff, and partners. We follow the terms of employment by the Dutch Collective Labour Agreement for Universities (CAO). Our offer contains: a full-time 4-year Ph.D. position with a qualifier in the first year; excellent mentorship in a stimulating research environment with excellent facilities; and a personal development program within the Twente Graduate School. It also includes: Gross monthly salary of € 2.770 in the first year, increasing each year up to € 3.539 in the fourth year;Excellent benefits including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme;29 holidays per year in case of full-time employment;A training program as part of the Twente Graduate School and the European MSCA Doctoral Training Programme on Digital Finance, where you and your supervisors will settle a plan for a suitable education and supervision;A green campus with free access to sports facilities and an international scientific community;A family-friendly institution that offers parental leave (both paid and unpaid);A full status as an employee at the UT, including pension, health care benefits, and good secondary conditions are part of our collective labor agreement CAO-NU for Dutch universities.Work Hours: 38 - 40 hours per weekAddress: Drienerlolaan 5

We have an excellent opportunity for an applied and industrially oriented mathematician! You will be working at the forefront of Geometric Learning and Image Analysis in the unique and inspiring Eindhoven Brainport region.This vacancy is part of the Irène Curie Fellowship and is currently only open to female candidates.Job Description In the Geometric Learning and Differential Geometry Group (GLDG) within the Centre for Analysis, Scientific Computing and Applications (CASA) we invent, apply, and build new theory and methods in geometric AI for automated medical and industrial image analysis. The Geometric Deep learning methods developed in GLDG bridge the gap in image processing between machine learning and traditional PDE/geometry-based methods.The focus in the group GLDG supported by VICI project 'Geometric Learning for Image Analysis' (R. Duits) is on PDE-based equivariant neural networks aiming for impact on industry and society. This requires close interplay between mathematical theory and practical requirements. With implementation running parallel to theoretical development, we ensure that our geometric learning is both well-founded in profound new mathematics and relevant for practical applications.Key objectives of the position are:Develop high-performance implementations of geometric learning methods for modern hardware while connecting advanced scientific computing to applied and geometric analysis.Establish connections to industry via joint projects on geometric learning and image processing, while investing in in-house implementations to keep our research relevant for industry.Target and steer the direction of the theory by available hardware and performance. Advanced geometrical, topological theory and algorithms need to be developed.Be active in funding acquisition and set up a clear, personal, and visible research line that fits the overall activities and strategy in the GLDG group and CASA cluster.Open the black box of deep learning via geometric interpretability and explainable AI. Promising results are growing and allow for clear analysis by experts, but intuitive visualization and interpretation tools to industrial/health tech partners raise challenges to be tackled.  Design new equivariant PDE-based neural networks. Current methods in GLDG reveal drastic network reduction, and training data-reduction with better performances. Pursue a research direction in explainable and transferable geometric AI.  Analysis of topological transitions, semi-ring co-domain extensions, Lie group domain extensions require new models.Connect to the GLDG group, the CASA cluster, and the M&CS department at TU/e, and act in cross-divisional institutes such as EAISI, to guarantee a vibrant, well-embedded and well-funded research group with better network design and image analysis applications. Requirements: Motivated researcher, with a PhD in Applied Mathematics, Data Science, Electrical Engineering or Computational Physics, or a related field, with both an applied computational and a geometric interest. Strong knowledge of state-of-the-art computational methods in both geometric learning, differential geometry and geometric image processing. Excellent programming and software engineering skills both for developing CPU code (Python/Mathematica, C++), GPU (CUDA/Triton) code and other modern parallel hardware.Ability to conduct high quality academic research, reflected in demonstrable outputs.Ability to teach, demonstrated by experience or assistance in teaching. Informed vision on teaching and learning within your own discipline.  Motivated to teach, contribute to teaching processes, and to develop excellent teaching skills.Strong cooperation skills and ability to work in an interdisciplinary team.Effective communication and leadership skills, including coaching and mentoring of students and staff, leading a project or chairing a group.Excellent (written and verbal) proficiency in English. Salary Benefits: A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:An 18-month contract as Assistant Professor which can become permanent after 12 months on the same employment level upon successful evaluation.The opportunity to focus your career on education, research or impact. You can develop your personal ambitions and objections within the strategic objectives of the university.As an Irène Curie Fellow, you are entitled to a substantial start-up package to kick-off your career.  Salary in accordance with the Collective Labour Agreement for Dutch Universities, scale 11 (min. €4332, max. €5929).A year-end bonus of 8.3% and annual vacation pay of 8%.A dedicated mentoring program to help you get to know the university and the Dutch (research) environment.High-quality training programs for academic leadership and teaching.An excellent technical infrastructure, on-campus children's day care and sports facilities.Partially paid parental leave and an allowance for commuting, working from home and internet costs.A Staff Immigration Team is available for international candidates, as are a tax compensation scheme (the 30% facility) and partner career support.Work Hours: 38 hours per weekAddress: De Rondom 70

Objective:To research, design, implement, and evaluate an ultra-low-power Spiking Neural Network (SNN) architecture that leverages in-memory computing principles for efficient online learning.Background: The field of neuromorphic computing seems to offer a transformative solution for achieving intelligence at the edge. By emulating the brain's efficient biological mechanisms through Spiking Neural Networks (SNNs), neuromorphic computing systems not only promise substantial energy efficiency but also enhance real-time processing capabilities when integrated with online learning.The conventional von Neumann computing architectures, characterized by separate memory and processing units, encounter performance constraints due to the continual data transfer between these segments. This structure leads to heightened energy consumption and processing time. Additionally, the widespread reliance on energy-intensive dynamic random-access memory (DRAM) exacerbates these energy concerns, particularly when grappling with the intensive computational requirements of online learning tasks in SNNs. In response to these challenges, the research landscape is shifting. Notable innovations like IBM's TrueNorth chip, which mirrors neural networks, are emerging. Alongside these digital solutions, there's a burgeoning interest in exploring analog, hybrid, and advanced nanoelectronic devices, with a keen focus on those boasting memristive attributes. In-memory computing, which conducts calculations directly within memory storage, has become a popular design choice, further reducing energy while decreasing latency.Research Questions:How can in-memory computing principles be integrated into SNN architectures to enhance online learning capabilities?What are the trade-offs between performance, power, and accuracy when implementing in-memory online learning in SNNs?How can the inherent variability and non-ideality of in-memory devices be mitigated or exploited in SNN-based online learning systems?Significance:This research aims to push the boundaries of neuromorphic engineering by combining the strengths of SNNs and in-memory computing. The outcome has the potential to revolutionize ultra-low-power applications, especially in edge devices, wearables, and IoT, making intelligent systems more pervasive and sustainable.Requirements: Applicants must have or expect to receive a Master of Science degree or equivalent in Electrical Engineering, Applied Physics, or a related discipline.Strong background in Digital/Mixed-Signal Integrated Circuit (IC) design.Very good skills in HDL (Verilog, VHDL) and scripting languages (Python, TCL).Basic knowledge on commercial EDA tools (Cadence/Mentor Graphics).Knowledge in Neuromorphic architectures and Low power IC design would be a definite plus.Salary Benefits: A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks.Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. €2,770 max. €3,539).A year-end bonus of 8.3% and annual vacation pay of 8%.High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.An excellent technical infrastructure, on-campus children's day care and sports facilities.An allowance for commuting, working from home and internet costs.A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.Work Hours: 38 hours per weekAddress: De Rondom 70

The positionIn close cooperation with key stakeholders (our hiring managers, our centralized hiring desk (‘FlexOord’), our training desk (‘Academy Support’) and our supplier base) within Van Oord, the Category Manager is responsible to strategically optimize sourcing requirements, related sourcing models and the right mix of suppliers resulting in value for money pricing, quality and mitigation of risks with the aim of achieving competitive advantage and distinctive value. The main categories this position focuses globally on are:Hiring of all temporary labour;Managing recruitment agencies;Assisting the Learning & Development department on procurement activities.In addition, our centralized hiring desk (Flexoord) uses a VMS system that enables us to improve the entire hiring process. The optimization of this process will require attention, expertise and support from the Category Manager. You are responsible for both categories as mentioned above, besides this responsibility you will be the inspirational team lead for the team. This team consists of 3 colleagues; a contract manager, category manager engineering & consultancy and category manager/project manager temporary labour – learning & development. And you will work very closely with the centralized operational teams, Flexoord for temporary labour and Academy Support for safety training, both allocated within HR.Your responsibilitiesCollect, analyse and verify (complex) sourcing information about both categories, and assess market information, supplier profiles and new relevant opportunities;Evaluate, in close cooperation with various stakeholders/business units, existing sourcing needs and develop new distinctive sourcing strategies supported by solid business cases;Present and implement the proposed sourcing strategies and realize quick win improvement initiatives;Negotiate and evaluate contracts, supported by the contract manager and our legal department, to secure terms and conditions that are in the best interest of Van Oord and are outstanding in the market;Develop, maintain and enhance, together with your colleagues, relationships with key (global) suppliers and ensure an excellent service level;Ensure a competitive advantage by identifying and developing supplier, sourcing and tooling innovations and product improvements;Manage the team of 3 colleagues and create preconditions for the team to function optimally.Job requirementsIn this position you are category manager and team lead and have at least 5 years’ experience in managing a small team of professionals. As a Procurement Professional you have demonstrated experience in developing and executing complex sourcing strategies. You seek opportunities, think out of the box and apply creativity in this category.Furthermore, you bring along:BSc or MSc degree in HRM or Business Administration;More than 10 years of work experience in the hiring of temporary labour;Relevant knowledge of (Dutch) labor law, e.g. working with ZZP’ers (independent contractors), mitigating risk on WKA/inlenersaansprakelijkheid;Experience working with of one or more VMS-tools;Knowledge of the maritime industry, especially in an international (project) environment and preferably in the fields of crewing, secondment recruitment and payroll solutions;Strong analytical, problem solving and negotiation skills;Self-starter, results driven, hands-on and a can do mentality;Experience in coaching, motivating and managing team members/peers;Ability to adapt to the diversity of internal clients and suppliers;Good communication skills in English, both spoken and written.We offerWe offer you a position in which you will make a significant contribution to our mission of 'building a better world for future generations'. In addition, we offer you:A salary in line with your responsibilities and experience;An attractive travel allowance (€0.31 per km)- and home working allowance (€2.15- per day);Additional allowances for working on board/on project sites abroad;32 holidays (of which a maximum of 7 are collective);Variable bonus, depending on company results, among other things;An attractive pension scheme;Possibility of collective health insurance (Van Oord pays for your supplementary package);Flexible home working arrangement; on a full-time basis, you can work from home for 2 days.Extensive development opportunities, including a very comprehensive online academy via Goodhabitz;Communities to join, such as: Young Van Oord, Van Oord Women and the Van Oord staff association;Various events and sports activities, including winter sports, sailing weekend, cycling and motorcycling.About Van OordVan Oord is a Dutch family-owned company with more than 150 years of experience as an international marine contractor. The focus is on dredging and marine construction, offshore wind, offshore infrastructure and infrastructure in the Netherlands. Its head office is in Rotterdam. Van Oord employs 4,700 staff, who worked on 187 projects in 35 countries in 2021. The fleet consists of about 70 vessels and a large amount of special-purpose and auxiliary equipment. Van Oord delivers marine ingenuity by using smart, innovative and sustainable solutions to create a better world for future generations.Do you want to be a part of Van Oord?Are you interested? Apply via the application form below. Do you have any questions? Please contact Xander de Cock.Do you like to know more about and want to stay informed of other vacancies within Van Oord? Climb aboard and follow us on LinkedIn, Instagram, Vimeo and Facebook!

The global initiative to complete the energy transition by 2040 puts tremendous pressure on governments and industries. The need for any nation to know the potential of its subsurface to meet the future demand for energy and raw materials, as well as its storage capacity (e.g. CO2, H2) and associated hazards (e.g. induced seismicity, subsidence), is more critical than ever for informing exploration efforts, strategic economic planning, environmental policies, and decision-makers. The Netherlands has acquired a vast amount of geophysical data over the past 30 years. However, the formal integration and inversion of all available and complementary data have not been yet fully exploited for obtaining unifying, multi-parameter models of the subsurface. This project will develop novel ways of characterizing the physical state of the subsurface beneath the Netherlands via the formal integration of multiple geophysical (mainly seismological), geochemical/petrological and petrophysical data into a single physics-based framework. Specifically, we will establish a workflow to extract seismological observables from large seismological data sets using both existing and new Deep Learning (DL) techniques to be developed within the project. The retrieved seismological observables will be integrated with other available data sets (e.g. potential fields) and existing models to establish a common database to be inverted using an innovative multi-observable probabilistic platform. The new DL methods and workflow to extract high-quality seismic information will apply to similar data sets in other regions, opening new opportunities for analysing and using seismic records worldwide. Results will be disseminated through high-quality scientific publications, conference presentations and reports for a wide range of partners. Involvement in teaching and/or supervision of PhD projects related to the project is also expected. You will collaborate closely with researchers at Utrecht University, KNMI, and Delft University of Technology. You will be a member of a large and dynamic geophysics/computational geodynamics team of PhD students and post-doctoral fellows. Your project will be embedded in the Applied Earth Sciences department at the Faculty for Geo-Information Science and Earth Observation at the University of Twente. You will work together with the partners in the DeepNL INTEGRATION project to develop and generate new tools and models.Requirements: You hold (or will soon hold) a PhD in seismology, geophysics, deep learning related to Earth sciences, computer science, physics, applied mathematics, or a related fieldGood command of spoken and written EnglishCuriosity in geophysical datasets (e.g. seismic, potential fields, etc), and computer programming, e.g. with Python, MATLAB, C and/or FortranCuriosity in Numerical Methods for Partial Differential Equations, big data management and dealing with supercomputing facilitiesWorking with a major machine-learning framework (e.g. PyTorch, TensorFlow, JAX) and familiarity with geochemistry, inverse theory and/or thermodynamics are desirable but not essentialA socially engaged, independent and creative researcher with good conceptual, communication, problem-solving and organizational skills, and an interest in engaging in team-based collaborationsSalary Benefits: An inspiring multidisciplinary, international and academic environment. The university offers a dynamic ecosystem with enthusiastic colleagues in which internationalization is an important part of the strategic agendaA full-time position for 4 yearsGross monthly salary between € 3.720,- and € 5.090,- per month depending on experience and qualifications (UFO profile Researcher 4)A holiday allowance of 8% of the gross annual salary and a year-end bonus of 8.3%Excellent support for research and facilities for professional and personal developmentA solid pension schemeA total of 41 holiday days per year in case of full-time employmentExcellent working conditions, an exciting scientific environment, and a green and lively campusWork Hours: 40 hours per weekAddress: Drienerlolaan 5

FunctieomschrijvingHOE ZIET JE DAG ERUIT.+ We starten met het hele team met een dagstart.+ Vanuit Freshdesk beantwoordt je alle support tickets+ Je bent telefonisch bereikbaar voor klanten met vragen+ Je werkt actief aan de onboarding van een nieuwe klant+ Je update FAQ’s bij en/of de e-Learning+ Je werkt iedere dag aan je eigen (kwartaal)doelen+ Je analyseert gebruikersactiviteit en als deze laag is geef je een klant een gezellig belletje+ Je denkt creatief mee hoe wij als organisatie verder kunnen groeienFunctie-eisenWIJ ZIEN DIT GRAAG TERUG.+ Minimaal afgeronde HBO opleiding+ Ten minste 2 jaar werkervaring+ Knetter zelfstandig en ‘ownership’+ Pro actief meedenken hoe we dingen beter en efficiënter kunnen doen+ Jij bent van nature een optimistisch en enthousiast persoon+ Ambities om snel door te groeien richting Sales of ConsultancyBedrijfsomschrijvingRate.nl is een award winning feedback platform. Wij brengen organisaties dichterbij hun klanten en medewerkers met krachtige alles-in-1 software om feedback op te halen en om te zetten in klant- en medewerker gerichte acties. Dat doen we met slimme technologieën en research in AI en Voice Recognition. We werken in een compact team vanuit het Groothandelsgebouw in Rotterdam. Om ons team te versterken zoeken wij een ervaren (binnen) Acquisitie Scout met ambitie om snel naar buiten te gaan.KLEIN TEAM. GROOTSE PLANNEN.Als ‘Customer Support & Consultant’ ben jij een spin in het web tussen klant, development en sales. Jij bent iemand die snel een softwareprogramma doorgrond, je hersenen soms lekker wilt laten kraken, en klanten adviseert om het maximale uit het Rate.nl platform te laten halen. Je ondersteunt klanten met vragen, advies, en helpt bij het inrichten van nieuwe klanten in Rate.nl. Daarnaast ben je iemand die klanten graag ook op online of op locatie ondersteunt met enthousiaste producttrainingen en workshops.ArbeidsvoorwaardenJIJ ZIET DIT GRAAG TERUG.+ Salaris tussen 2.200 en 2.500 euro bruto per maand+ Super enthousiaste en betrokken collega’s die er allemaal voor gaan+ Fulltime dienstverband+ Ruimte voor persoonlijke groei en doorontwikkelingSecundaire arbeidsvoorwaarden:VakantiegeldWerk vanuit huis mogelijkhedenSoort dienstverband: FulltimeSollicitatieprocedureNIET VIES VAN AANPAKKENDe sfeer bij ons: niet lullen, maar bouwen :). Ben jij ook zo’n type? En werk je graag met de nieuwste technologie? Dan hebben we je er graag bij. Bel of Whatsapp Inge Proost via 06-15896011 voor meer informatie of stuur jouw reactie per [email protected] Voor alle recruiters: wij vinden onze collega’s zelf. Jullie hulp is niet nodig én niet gewenst.ContactgegevensBedrijfsnaam: sQoutContactpersoon: Werving- en selectiebureau sQoutAdres: Rivium 2e straat 24Postcode/plaats: 2909 LG Capelle aan den IJssel

FunctieomschrijvingVoor onze opdrachtgever in Rotterdam zijn wij op zoek naar een Tester / QA Engineer. Onze opdrachtgever biedt de mogelijkheid om groot deel of volledig vanuit huis te werken, ook na de corona periode. Profiel: Als je een baan zoekt waarbij je technisch gaat testen, maar ook functioneel, dan is deze vacature helemaal jouw ding. Saai is het nooit, want je test iedere keer andere producten. Wat je moet testen vormt een geheel. Moet je bijvoorbeeld een app testen, let dan ook op de (eventuele) effecten op de andere onderdelen. Je krijgt belangrijke taken, dus ervaring hebben met releases is noodzakelijk. De bevlogen en ervaren testliefhebber kan zich hier helemaal uitleven. Verder kun je goed communiceren, want je bent een vraagbaak voor de klantenserviceFunctie-eisenHBO werk-en denkniveau Een paar jaar bewijsbare werkervaring met TMap en met apps (internet) Minstens drie jaar bewijsbare werkervaring met werken op projectbasis Je kunt goed binnen een concept blijven en je hebt een analytische aanpak Als Test Manager en de Team Foundation Server van Microsoft bekend zijn, is dat een grote preBedrijfsomschrijvingDit Rotterdamse bedrijf heeft de typische Rotterdamse aanpak: rechtstreeks op je doel af gaan. Hun specialiteit is het realiseren van customised e-learning producten. Wat voor soort onderwijs is afhankelijk van de opdrachtgever. Deze manier van leren brengt niet alleen mens en leerstof bij elkaar, maar brengt ook mensen nader tot elkaar. E-learning producten van dit bedrijf zijn prettig in gebruik en natuurlijk doeltreffend. E-learning wordt op allerlei niveaus en voor allerlei doelen gerealiseerd. Opleiding, coaching, workshops, noem maar op. Elektronisch leren kan in feite overal, want je logt in met behulp van een website of app. Zo kunnen de studenten hun verloren uurtjes invullen en zelfs nuttig bezig zijn als ze op de bus staan te wachten. Bij het ontwikkelen van de producten komen bijvoorbeeld C# en Webservices om de hoek kijken, net als SOAP. Wat hier bedacht en uitgevoerd wordt, is innovatief van karakter. E-learning is heel divers, waardoor jouw werkdagen altijd anders zijn. Je collega´s en jij vormen een enthousiast en technisch uitstekend onderlegd team dat niet rust voordat de opdrachtgever helemaal tevreden is. De opdrachten kunnen ook bestemd zijn voor e-publishing. Dit is echt een hele afwisselende baan in een bruisende werkomgeving. ArbeidsvoorwaardenHet betreft een vaste functie op een vaste werklocatie Partime en flexibele werktijden zijn bespreekbaar Salarisrange is tussen de € 2500- en € 4500,- obv 40 uur, afhankelijk van ervaring Je zet je in voor opdrachtgevers van formaat Voor opleiding heb je een persoonsgebonden budget Je krijgt de kans om je taken naar eigen inzicht uit te voeren SollicitatieprocedureInteresse in deze functie? Stuur dan je C.V. in wordformaat met vermelding van je salarisindicatie en per wanneer je beschikbaar naar: [email protected] aub niet je wordformaat CV toe te voegen in de bijlage van je email. Sollicitaties zonder CV kunnen wij helaas niet in behandeling nemen.Voor meer secretariele vacatures kijk op: www.recruitonline.nlContactgegevensBedrijfsnaam: sQoutContactpersoon: Werving- en selectiebureau sQoutAdres: Rivium 2e straat 24Postcode/plaats: 2909 LG Capelle aan den IJsselTelefoon: 010-2427595Email: [email protected]

FunctieomschrijvingBen jij enthousiast over het werken in een hypermodern laboratorium? Heb je affiniteit met brandblus- en veiligheidssystemen? Dan is de positie van Test Engineer (Fire Safety & Security) FS&S in Apeldoorn iets voor jou!Over deze uitdagingAls onderdeel van de divisie Products & Installations, die ruim 350 vakspecialisten telt, is het FS&S-team met 12 toegewijde professionals verantwoordelijk voor het testen en certificeren van de nieuwste producten en installaties op het gebied van Fire Safety en Security. Je voert tests uit, stelt testprogramma's op, analyseert resultaten en communiceert deze met klanten. Daarnaast draag je bij aan het verbeteren van eisen en testmethodes.Functie-eisenWat verwachten wij van jou?Om een vliegende start te maken in deze uitdagende positie als Test Engineer in Apeldoorn, is het belangrijk dat je een aantal vaardigheden en eigenschappen hebt, zo heb je;Minimaal een afgeronde elektrotechnische of elektronica MBO-opleiding en 2 jaar relevante werkervaringBen je praktisch ingesteldEen uitstekende beheersing van Nederlands en Engels, zowel mondeling als schriftelijkEen commerciële instelling en ben je klantgerichtZin om minimaal 32 uur met passie aan de slag te gaanEen leergierige mindset, gezien er vele opleidings-en cursus mogelijkheden zijn die bij jouw ambities passenArbeidsvoorwaardenWat zetten wij daar tegenover?Bij Kiwa zijn onze medewerkers ons belangrijkste kapitaal. Je krijgt alle ruimte voor persoonlijke ontwikkeling en een goede werk-privebalans. Je salaris varieert van €2500,00 tot €5700,00 en sluit aan op jouw kennis en ervaring, en wordt jaarlijks aangevuld met een variabele beloning. Daarnaast ontvang je 8% vakantiegeld, 27 vakantiedagen en 10 ATV-dagen bij een 40-urige werkweek. Ook bieden we flexibel werken vanuit huis, een vergoeding voor de inrichting van je thuiswerkplek en een mobiliteitsvergoeding voor kantoordagen/lab dagen. In de praktijk mag je een goede begeleiding van een Senior verwachten en op theoretisch vlak diverse cursussen en e-learning modules, zodat jij snel een geaccrediteerde Test Engineer bent en zelfstandig de meest innovatieve installaties en systemen op het gebied van brand, alarm en veiligheidssystemen kan testen.SollicitatieprocedureContactgegevensBedrijfsnaam: FYGIContactpersoon: Jeffrey TrubendorfferAdres: Pelenerf 12Postcode/plaats: 3861 PR NijkerkTelefoon: 0653588810Email: [email protected]

•    Are you inspired by the prospect of shaping the future of autonomous driving?•    Are you fascinated by the latest developments in self-supervised learning and generative models?•    Are you excited to work on perception tasks for safety-critical systems using the next-generation automotive radar?•    Then apply for the PhD position on Deep Learning Perception for Automotive 4D Imaging Radar!Autonomous driving is a key application of artificial intelligence generally, and vehicle perception specifically. Contemporary autonomous driving systems utilize various sensors, such as cameras, radar, and LiDAR. Recent developments in automotive radar technology have led to the emergence of a new class of sensors, 4D Imaging Radar. This technology can be a key enabler for Level 4 and Level 5 autonomy due to its additional vertical information, high density, and robustness.Consequently, this requires the development of novel deep-learning methods that can process Imaging radar data on resource-constrained devices, and perform standard automotive perception tasks, such as object detection and collision prediction.  Moreover, due to the real-life complexity of such tasks in urban conditions, and the many edge cases that can be encountered, it is practically impossible to gather all-encompassing training data.This PhD project is designed to research various deep-learning methods to perform vehicle perception tasks, such as collision risk prediction, using imaging radar data. The aim is to increase the generalization capabilities of those prediction models for rarely occurring scenarios. To this end, it will be necessary to not only consider mathematical and technical details of deep learning but also the understanding of signal processing systems and working principles of 4D Imaging radar technology.More specifically, research tasks will include:Reviewing relevant literature from the deep learning architectures for signal processing, radar-based and computer vision-based automotive perception, and domain invariance/resilience.Designing methods for domain invariant deep representations of radar-specific embeddings.Developing learning strategies capable of learning from auxiliary simulated data for real-life applications.Collaborating on ongoing research projects that aim to implement radar-based perception methods for next-generation ADAS and autonomous driving.An ideal candidate will combine technical expertise in deep learning, signal processing, and automotive sensing. You are strongly interested in the application of next-generation radar technology and robust perception in the context of road participants' safety. Next, you have good programming experience and are passionate about artificial intelligence, computer science, and autonomous driving.The candidate will be integrated into the Mobile Perception Systems (MPS) lab within a newly forming Automated Vehicle Test Facility (AVTF). You will actively collaborate with NXP researchers.Requirements: A master's degree (or an equivalent university degree) in artificial intelligence, signal processing, computer science, or a related discipline.Demonstrable interest and/or experience in automotive sensor technologies, robotics perception, and programming.A research-oriented attitude of an ever-curious mindAbility to work in an interdisciplinary team and interested in collaborating with industrial partners.Motivated to develop teaching skills and coach students.Fluent in spoken and written English (e.g. C1 level).Salary Benefits: A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks.Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. €2,770 max. €3,539).A year-end bonus of 8.3% and annual vacation pay of 8%.High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.An excellent technical infrastructure, on-campus children's day care and sports facilities.An allowance for commuting, working from home and internet costs.A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.Work Hours: 38 hours per weekAddress: De Rondom 70

The Neuromorphic Edge Computing Systems (NECS) Lab at the Eindhoven University of Technology invites applications for multiple Ph.D. positions from passionate and innovative young researchers. Our mission is to overstep the boundaries of artificial intelligence (AI) and neural networks, challenging the current computing paradigms by drawing inspiration from the most sophisticated system known—the human brain.Despite significant advances in AI, current systems must catch up to the animal kingdom's efficiency in processing complex, real-time tasks with minimal energy in uncertain conditions. This limitation stems from a fundamental difference in design philosophy; while nature leverages distributed processing and inherent noise tolerance, modern computing relies on deterministic, bit-perfect operations with a clear separation between memory and computation. To bridge this gap, the NECS Lab is pioneering research into brain-inspired computing models that mimic the natural neural system's computational physics. Our research entails the development of novel brain-inspired computing theories, learning systems, and the design of ultra-low-power circuits, systems, and computing architectures.We are seeking candidates for several PhD positions, each focusing on one or more of the following cutting-edge research topics:Ultra-low-power Mixed-signal Circuits and Architecture: Design of novel CMOS technologies for neural networks embodying the brain's adaptive capabilities. Projects aim to replicate the self-healing abilities of neural systems, which are distinctive traits of biological neural systems.Event-based Sensing & Computing: Development of event-based sensory perception systems, with a focus on low-power radar sensing for applications in autonomous vehicles and robotics. This research will pioneer a brain-inspired framework for active perception.Spike-based Neuromorphic Hardware for Machine Intelligence: Embedding complex AI functionalities into neuromorphic hardware augmented by emerging technologies (e.g., ReRAM, Phase-Change Memories) for increasing the energy efficiency of current deep learning models. This involves integrating cutting-edge nanomaterials into architectures optimized for AI.Bio-inspired Online Learning Algorithms: Creation of spike-based online learning algorithms for real-time adaptation to hardware degradation and input changes. This includes developing unsupervised methods for drift compensation in physical systems.With these projects, the NECS lab aims to fundamentally understand neural and cognitive processes in the AI domain. We strive to have a tremendous impact in the computer sciences, electronics, and robotics sectors, paving the way for a new generation of neuro-inspired processors for efficient autonomous agents.Job DescriptionWe offer an exciting Ph.D. opportunity for a pioneering approach to neuromorphic engineering and computing, drawing inspiration from neural mechanisms observed in the animal kingdom. These cross-disciplinary projects seek to revolutionize sensing, computing, and learning by adopting the computational primitives found in natural neural systems: the massively parallel networks of spiking neurons and adaptive synapses.Key responsibilities:Engage in groundbreaking research to develop advanced neuromorphic sensing, and computing systems by taking inspiration from the sensing and computing capabilities of natural neural systems.Innovate in the areas of signal encoding, processing pipelines, and embedded computer architectures to emulate bio-inspired computational models effectively.Explore and implement beyond traditional deep learning techniques, moving towards the next generation of neuromorphic technologies. This includes leveraging spiking neural networks' efficiency, parallelism, and adaptability for enhanced sensing and computing.Delve into new bio-inspired theories and connect them to hardware architectures.Requirements: A master's degree (or an equivalent university degree) in Electrical Engineering, Computer Science, Physics, or related fields, with an interest in neuromorphic computing and engineering.Has a strong background in one or more of the following:Analog mixed-signal designs, devices, and general knowledge of semiconductor physics, modeling, and electronic system design.Knows circuit simulation and VLSI design (spice, cadence, Synopsys tools).Experience with hardware architecture, FPGA, and system-level simulation is desirable.A good theoretical understanding of statistics and machine learning theory.Strong analytical skills and proficiency in programming and simulation tools.Ability to work independently and collaboratively in a multidisciplinary team.Motivated to develop your teaching skills and coach students.Fluent in spoken and written English (C1 level).      Salary Benefits: A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks.Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. €2,770 max. €3,539).A year-end bonus of 8.3% and annual vacation pay of 8%.High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.An excellent technical infrastructure, on-campus children's day care and sports facilities.An allowance for commuting, working from home and internet costs.A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.Work Hours: 38 hours per weekAddress: De Rondom 70

Are you looking for a research position that combines machine learning with helping to protect nature? Would you like to apply and develop AI methods for sound? Do you want to conduct research that has international academic impact, and also a positive environmental impact?The Department of Cognitive Science and Artificial Intelligence at Tilburg University is looking for a postdoctoral researcher, for an 18-month position within the European funded project TABMONThe TABMON project will apply autonomous acoustic sensing to biodiversity monitoring across a large geographic range in Europe (from Norway to Spain). Sound recording devices will be placed in diverse bird habitats. Within this project, you will develop machine learning algorithms to analyse these large volumes of audio data. You will investigate the leading algorithms as well as novel ideas, you will carefully design training datasets, and evaluate the performance of algorithms to ensure they work as intended across many countries, in many habitats and seasons.You will be working with collaborators from multiple countries, including specialists in signal processing, machine learning, and ecology. At Tilburg University you will be part of a research group with unique world-leading expertise in machine learning for animal sound - see for example the Bioacoustic AI networkYour project will include the following goals:Train deep learning algorithms for bird sound classificationInvestigate the re-use of existing data and algorithms, and their combination with new innovative algorithmsEvaluate algorithms for balanced performance across our European case studies (different habitats, species etc)Investigate advanced training/application of AI algorithms: not just for classification, but for direct inference of biodiversity-related quantities such as relative population sizesExplore combining acoustic data with data from other sourcesCollaborate with project partners in different European countriesWrite high-quality articles for academic conferences and journalsPublish developed AI algorithms as reusable softwareRequirements: Required skillsEssential:PhD in one of the following fields, or closely related: machine learning, computer science, applied mathematics, statistics, signal processing, acoustics, bioacousticsExperience in training and evaluating deep learning algorithmsHigh proficiency in programming (especially Python)High quality of academic writing in EnglishGood spoken English language skillsAbility to work independently and self-motivated.Desirable:Experience in machine learning for sound/acousticsExperience in one of the main DL frameworks (e.g. PyTorch, Tensorflow)Experience with international collaborationExperience with software deployment frameworks suitable for machine learning (e.g. Docker, HuggingFace)Good publication record appropriate to the career stageDemonstrated interest in biodiversity, animal behaviour, animal sound, or related topicsSalary Benefits: What we offerA fixed-term contract of 18 months at 1.0 FTE.The candidate will be ranked in the Dutch university job ranking system (UFO) as Researcher 4. The starting gross salary for a full-time appointment is (minimally) € 3.226,- up to (maximally) €5.090,- per month. Grading based on relevant experience.A holiday allowance of 8% and an end-of-year bonus of 8,3% (annually)Researchers from outside the Netherlands may qualify for a temporary tax-free allowance equal to 30% of their taxable salary. Tilburg University will apply for such an allowance on their behalf.Tilburg University is rated among the top Dutch employers and offers excellent fringe benefits, including excellent technical infrastructure, savings schemes and excellent sport facilities.The collective labor agreement of the Dutch Universities applies.Work Hours: 40 hours per weekAddress: Warandelaan 2

The successful candidate will be involved in cutting-edge research aimed at developing scalable sparse deep learning models that are not only powerful but also energy-efficient. This position offers the unique opportunity to contribute to high-impact projects, collaborate with world-renowned experts in the field, and publish in top-tier journals and conferences. Key Responsibilities: Design and implement scalable, energy-efficient deep learning algorithms.Conduct rigorous experimental evaluations to benchmark the performance and energy efficiency of the developed models.Collaborate with interdisciplinary teams to apply these models to real-world problems in areas such as natural language processing, computer vision, and more.Publish and present research findings in leading scientific journals (e.g., Machine Learning, JMLR) and conferences (e.g., NeurIPS, ICLR, ICML, IJCAI, AAMAS, ECMLPKDD).Contribute to the mentoring of graduate students and junior team members. The Postdoctoral Researcher will be embedded in the DMB research group headed by Prof. dr. Maurice van Keulen and the supervision will be ensured by Dr. Elena Mocanu. This position is part of the Modular Integrated Sustainable Datacenter MISD project, and will have ample collaboration opportunities. As part of the MISD project effort led by Elena Mocanu, we are opening multiple positions (two Ph.D. candidates and one PostDoc) to join us and work at the interplay of dynamic sparse training in neural networks on various tasks. Useful links: Elena Mocanu webpageDMB research groupMISD projectSample of our work on sparsityRequirements: The ideal candidate we are looking for has: A PhD in Computer Science, Mathematics, Computational Neuroscience, or a related field, with a strong background in deep learning.Demonstrated experience in developing and optimizing deep learning models, with a focus on scalability and energy efficiency.Proficiency in programming languages such as Python and frameworks like TensorFlow or PyTorch.Strong publication record in reputable journals and conferences.Excellent analytical, problem-solving, and communication skills.Salary Benefits: You will be appointed for a period of maximum 3 years full-time within a very stimulating scientific environment. The university offers a dynamic ecosystem with enthusiastic colleagues.Your salary and associated conditions are in accordance with the collective labour agreement for Dutch universities (CAO-NU);Gross salary between € 3.877,- and € 5.090,- per month depending on experience and qualifications;Excellent benefits including a holiday allowance of 8% of the gross annual salary, a year-end bonus of 8.3% and a solid pension scheme;The flexibility to work (partially) from home;Free access to sports facilities on campusA minimum of 232 leave hours in case of full-time employment based on a formal workweek of 38 hours. A full-time employment in practice means 40 hours a week, therefore resulting in 96 extra leave hours on an annual basis.Excellent support for research and facilities for professional and personal development.We encourage a high degree of responsibility and independence, while collaborating with close colleagues, researchers and other university staff.e are also a family-friendly institution that offers parental leave (both paid and unpaid) and career support for partners.Work Hours: 40 hours per weekAddress: Drienerlolaan 5

The main goals of this PhD project are: Develop novel sparse training algorithms that improve the scalability and energy efficiency of deep neural networks.Investigate the mathematical underpinnings of sparsity in deep learning and its effects on learning dynamics, and generalization.Implement and benchmark sparse training methods to scale up deep learning.Publish and present research findings in top-tier conferences (e.g., NeurIPS, ICLR, ICML, IJCAI, AAMAS, ECMLPKDD) and journals (e.g., Machine Learning, JMLR).Collaborate with an international team of researchers and industry partners. The successful candidate will be embedded in the DMB research group, and the supervision will be ensured by Dr. Elena Mocanu and Prof.dr. Maurice van Keulen. This PhD position is part of the Modular Integrated Sustainable Datacenter (MISD) project and will have ample collaboration opportunities. As part of the MISD project effort led by Elena Mocanu, we are opening multiple positions (two Ph.D. candidates and one PostDoc) to join us and work at the interplay of dynamic sparse training in neural networks on various tasks. Useful links: Elena Mocanu webpageDMB research groupMISD projectSample of our work on sparsityRequirements: You are a scientific curiosity driven researcher;You have, or will shortly, acquire a master degree in the field of Computer Science, Mathematics, or a related field;You have excellent analytical, problem-solving, and communication skills.You have excellent coding and math skills (or the willingness and capacity to learn);You have the desire to conduct outstanding research and publish in high-quality Artificial Intelligence conferences and journals;You have a good team spirit and like to work in an interdisciplinary and internationally oriented environment.You are proficient in EnglishSalary Benefits: As a PhD candidate at UT, you will be appointed to a full-time position for four years, with a qualifier in the first year, within a very stimulating and exciting scientific environment;The University offers a dynamic ecosystem with enthusiastic colleagues;Your salary and associated conditions are in accordance with the collective labour agreement for Dutch universities (CAO-NU);You will receive a gross monthly salary ranging from € 2.770,- (first year) to € 3.539,- (fourth year);There are excellent benefits including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme;The flexibility to work (partially) from home;A minimum of 232 leave hours in case of full-time employment based on a formal workweek of 38 hours. A full-time employment in practice means 40 hours a week, therefore resulting in 96 extra leave hours on an annual basis.Free access to sports facilities on campusA family-friendly institution that offers parental leave (both paid and unpaid);You will have a training programme as part of the Twente Graduate School where you and your supervisors will determine a plan for a suitable education and supervision;We encourage a high degree of responsibility and independence, while collaborating with close colleagues, researchers and other staff.Work Hours: 40 hours per weekAddress: Drienerlolaan 5

This doctoral research will be at the intersection of sparsity and artificial intelligence. The research will investigate the potential of sparse-to-sparse training of deep neural networks within reinforcement learning frameworks. This innovative approach holds promise for creating highly efficient and scalable AI systems capable of learning with limited data and computational resources, pertinent in areas such as autonomous systems, online resource allocation, and complex decision-making processes. Main Responsibilities: Conduct original research on sparse-to-sparse training techniques, exploring new frontiers in algorithmic development for DRL.Investigate the mathematical underpinnings of sparsity in deep reinforcement learning and its effects on learning dynamics, and generalization.Design and evaluate experiments to validate the effectiveness of sparse-to-sparse training in various scenarios and benchmarks.Publish and present research findings in top-tier conferences (e.g., Machine Learning, JMLR) and journals (e.g., NeurIPS, ICLR, ICML, IJCAI, AAMAS, ECMLPKDD).Collaborate with a international team of researchers and industry partners. The successful candidate will be embedded in the DMB research group, and the supervision will be ensured by Dr. Elena Mocanu and Prof. dr. Maurice van Keulen. This PhD position is part of the Modular Integrated Sustainable Datacenter (MISD) project and will have ample collaboration opportunities. As part of the MISD project effort led by Elena Mocanu, we are opening multiple positions (two Ph.D. candidates and one PostDoc) to join us and work at the intersection of dynamic sparse training in neural networks on various tasks. Useful links: Elena Mocanu webpageDMB research groupMISD projectSample of our work on sparsityRequirements: The candidate is expected to have A master degree (or will shortly, acquire) in Artificial Intelligence, Computer Science, Mathematics, Engineering, or a related discipline.Excellent skills in machine learning and deep learning (experience with deep reinforcement learning is a plus).Excellent programming skills (e.g. Python, PyTorch).Experience with sparsity in computational models is a plus.Good communication skills, with proficiency in English (written and oral).Salary Benefits: As a PhD candidate at UT, you will be appointed to a full-time position for four years, with a qualifier in the first year, within a very stimulating and exciting scientific environment;The University offers a dynamic ecosystem with enthusiastic colleagues;Your salary and associated conditions are in accordance with the collective labour agreement for Dutch universities (CAO-NU);You will receive a gross monthly salary ranging from € 2.770,- (first year) to € 3.539,- (fourth year);There are excellent benefits including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme;The flexibility to work (partially) from home;A minimum of 232 leave hours in case of full-time employment based on a formal workweek of 38 hours. A full-time employment in practice means 40 hours a week, therefore resulting in 96 extra leave hours on an annual basis.Free access to sports facilities on campusA family-friendly institution that offers parental leave (both paid and unpaid);You will have a training programme as part of the Twente Graduate School where you and your supervisors will determine a plan for a suitable education and supervision;We encourage a high degree of responsibility and independence, while collaborating with close colleagues, researchers and other staff.Work Hours: 40 hours per weekAddress: Drienerlolaan 5

DESCRIPTIONRing is looking for a hands-on Financial Analyst with acumen in data science to strengthen the international team at Ring in Amsterdam. You will be working with sales and marketing teams in Europe, and have stakeholders at the US HQ as well as with regional teams in APAC, MEA and LATAM. In your role you will support on customer acquisition and retention in existing markets, as well as for geographical, category and channel expansion. You will be part of an agile finance team, and together we are balancing short term profitability and long term value. To be successful in this role you are not afraid to take ownership, have excellent analytical abilities, a great business sense you get energy from working in cross functional, international teams. Become part of Ring’s growth story and make an impactKey job responsibilities- Own consolidation and reporting of regional income statements for Europe, MEA, APAC and LATAM.- Automate OPEX reporting and forecasting. Liaise with department heads on cost control.- Facilitate quarterly forecasting cycles and annual operating plans with sensitivity analysis and scenario planning.- Ensure ROI% control for promotions.- Support marketing teams to drive cost effectiveness and identify leading KPIs to acquire and retain households and subscribers.- Set up a best in class master data management maintenance process.- Evolve strategic three year forecasting framework for international markets. - Develop in-the-month prediction model for gross profit.- Adopt best practices in using Tableau and Cognos to visualize KPIs and mature self-service reporting.A day in the lifeIn your day-to-day business you will design prediction models, exercise cost and margin control and publish reports and forecasts through BI tools. As you navigate ERPs (NetSuite, Oracle and Cognos) you will use advanced MS Excel techniques and Tableau to drive actionable insights. Expect a fair share of troubleshooting to iron out inconsistencies in reporting - improvise fast when needed, work on a sustainable solution whenever possible. You know your way around data models and can leverage machine learning and statistical techniques to enhance a divers system environment. As you grow in this role you will evolve processes, enhance automation and reveal connections between financial and non-financial metrics.About the teamSince its founding in 2013, Ring has been on a mission to make neighbourhoods safer. From the video doorbell to the DIY Ring Alarm system, Ring’s smart home security product line offers users affordable whole-home and neighbourhood security. At Ring, we are committed to making home and neighbourhood security accessible and effective for everyone – while working hard to bring communities together. Ring is an Amazon company. For more information, visit www.ring.com. With Ring, you’re always home.We are open to hiring candidates to work out of one of the following locations:Amsterdam, NLDBASIC QUALIFICATIONS- Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science)- 4+ years of building financial and operational reports/data sets that inform business decision-making experience- 4+ years of identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes experience- 4+ years of creating process improvements with automation and analysis experience- 4+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience- 4+ years of applying key financial performance indicators (KPIs) to analyses experience- Knowledge of Tableau- Experience with cube engine tools (e.g. TM1, Cognos or Essbase), SQL and Data warehouse- Advanced skills in Microsoft Excel and VBA in conjunction with ERPs (for example NetSuite, Oracle, SAP)PREFERRED QUALIFICATIONS- 4+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience- MBA, or CPA- Experience with advanced use of SQL for data mining and business intelligence- Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)- Work experience in consumer electronics, in international environments or matrix organizationsAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

In het kortWil jij impact maken op de klantbediening en processen van Customer Care and Operations. Heb jij aantoonbare ervaring met Python, Spark, Databricks, Azure, (Gen) AI en ML? Dan is deze functie wat voor jouHet teamOns team bestaat uit 7 data scientists, die samen met de business units binnen Customer Care and Operations, use cases exploreren, valideren, modellen en algoritmes bouwen en de oplossingen naar productie brengen.Wij zijn een end2end team en hebben een goede samenwerking met de data engineers en machine learning engineers binnen IT.Voorbeelden van data science oplossingen zijn het routeren van e:mailverkeer, het extraheren van relevante informatie uit ongestructureerde (tekst) data, toepassen van clusteralgoritmes om false positives in frauduleuze transacties te herkennen en tijdreeksmodellen om capaciteit nog beter te kunnen managen.Binnen Customer Care and Operations is het data science team onderdeel van IAAD (Innovation, Advanced Analytics and Data), dat zich richt op innovatie en data:analyses met als doel om de processen en klantbediening te verbeteren en te automatiseren.Jouw rolNaast het bouwen van oplossingen weet je ook kansen te spotten voor nieuwe modellen of oplossingen. Vanuit jouw werkervaring, kennis en kunde creëer en valideer je iteratief oplossingen, waarbij je het team en de stakeholders meeneemt.Wij hebben twee vacatures beschikbaar binnen het team. Afhankelijk van jouw werkervaring en skills kijken wij naar de inschaling.Wie ben jijJe hebt sterk ontwikkelde problem solving skills en krijgt energie van het vertalen van wensen van stakeholders naar direct toepasbare data science modellen. Je bent in staat om complexe data science materie te vertalen naar begrijpelijke taal. Je wilt impact maken op de processen van Customer Care and Operations, en samen met je collega's bouwen aan een data:gedreven organisatie. Je hebt aantoonbare ervaring Python, Spark, Databricks, Azure, (Gen) AI en ML.Daarnaast::ben je een pragmatisch doelgerichte bouwer:heb je al werkervaring in het data science vakgebied, maar wil je zelf ook nog veel leren:vind je samenwerken belangrijk en draag je met jouw capaciteiten bij aan de diversiteit van de afdeling:ben je sociaal vaardig en krijgt energie van gesprekken met (senior) stakeholders, zowel binnen de business als IT:is jouw Nederlandse en Engelse taalvaardigheid op zakelijk niveau in woord en geschrift goed:heb je ervaring met tools en technologieën zoals Spark, SQL, TensorFlow, Azure en tekst: (NLP) en tijdreeksdataWij biedenIn je rol krijg je zowel op inhoudelijk als op persoonlijk vlak directe begeleiding en stimuleren we je om het beste uit jezelf te halen.Wij bieden::Wij bieden je veel ruimte om te groeien en de vrijheid om het beste uit jezelf te halen:Af en toe thuiswerken? In overleg zijn er mogelijkheden.:We bieden goede faciliteiten voor flexibel werken vanuit huis.:Wij helpen je om fit and vitaal te blijven:Een aanvullend benefit budget van 11, waarmee je flexibel arbeidsvoorwaarden kunt kopen:Een persoonlijk ontwikkelbudget van EUR 1.000 per jaar:Een OV:jaarabonnement:Een goede pensioenregelingInteresse?Solliciteer direct of neem contact op met Aaldert Tim Sattler ( ).Gelijke kansen voor iedereenHet succes van onze organisatie staat of valt met de kwaliteit van onze mensen en de ideeen die zij hebben. Echt verrassende inzichten en innovatieve oplossingen voor onze klanten ontstaan door een samenspel van culturen, kennis en ervaring. Daarom is diversiteit voor onze organisatie ontzettend belangrijk. Om ervoor te zorgen dat alle collegas binnen ABN AMRO hun kwaliteiten kunnen ontplooien, stimuleren we een inclusieve cultuur waarin iedereen zich betrokken en gewaardeerd voelt.Disclaimer externe recruitmentbureausExterne recruitmentbureaus dienen een overeenkomst met ABN AMRO BANK N.V. te hebben getekend, uitgegeven door een

DESCRIPTION***Please note the position is based in London and therefore requires relocating to the UK. This is not a remote position.***Are you interested in shaping the future of devices for customers around the world? The Global Quality for devices team is looking for experienced, results-oriented and customer obsessed Quality Assurance Engineers who able to innovate, design and execute high quality test strategies and test plans to raise the quality bar of our devices and features and delight our customers. Key job responsibilities* Evaluate device functionality and create test strategies and test cases to assess device quality for multiple regions.* Work with a team of quality engineering professionals to ensure the highest quality product delivery against defined milestones* Test execution and automation* Bug triage and defect tracking* Provide detailed status reports for a wide range of stakeholders* Communication with a wide range of stakeholders (users, other technical teams and management) to collect requirements, evaluate alternatives and develop processes and/or tools as needed to support the organization.A day in the lifeQAEs at Amazon are excellent individual contributors capable of creating and executing test plans and test cases involving one or more product components and/or features. You take the time to understand the product’s technologies and dependencies (upstream and downstream).About the teamWe take on the unique challenge of understanding the nuances of how devices can serve customers’ needs in different cultures and locations. We are open to hiring candidates to work out of one of the following locations:Amsterdam, NLDBASIC QUALIFICATIONS- Experience in UI and API automation testing (Selenium/SOAPUI)- Experience in Java/Perl/Python based automation- Language fluency in Dutch, preferably on a native levelPREFERRED QUALIFICATIONS- Experience in API & Mobile testing- Experience designing and planning test conditions, test scripts, and test data sets to ensure appropriate and adequate coverage and control- Interest in linguistics, machine learning and large language models- Experience working on an Agile environment (e.g. Scrum, Kanban)- Experience with professional software engineering practices & best practices for the full software development life cycle- Experience working closely with development and business teams to communicate problem and impactAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.