Het overzicht van de statistiek van de arbeidsmarkt in

Wij zijn op zoek naar een:Gediplomeerd HairstylisteHeb jij een zwak voor mooi haar en het maken van geweldige kapsels?Ben je creatief eerlijk en houd je van gezelligheid?Dan zijn wij op zoek naar jou!Soort dienstverband:Parttime, Vaste baanRooster:ma-vrSecundaire arbeidsvoorwaarden:BedrijfsopleidingSoorten aanvullende vergoedingen:VakantiegeldErvaring:Kapper: 3 jaar (Gewenst)Werklocatie:FysiekHeb je interesse?Solliciteer dan snel via onderstaand formulier!

FunctieomschrijvingMonteur gezocht!Zoek jij een technische uitdaging en ben je niet bang om af en toe de wereld rond te reizen? Word je enthousiast van het assembleren en installeren van complexe, op maat gemaakte, industriële machines? Werk je graag in een informele sfeer en vind je persoonlijke ontwikkeling belangrijk? Dan ben jij de monteur waar wij naar op zoek zijn!Functie-eisenFunctie-eisen:-       Je beschikt over een MBO opleiding in de richting van mechatronica of werktuigbouwkunde.-       Je hebt ervaring opgedaan in de techniek (minimaal 3 jaar).-       Je bent flexibel, proactief en denkt mee in de ontwikkeling van het bedrijf.Arbeidsvoorwaarden-       Een salaris tussen de €2800,- en €4200,- per maand, afhankelijk van kennis en ervaring.-       Een vast dienstverband.-       We bieden een fietsplan, laptop, telefoon, goede pensioenregeling én overurencompensatie aan.-       25 vakantiedagen en 13 ADV dagen (obv fulltime dienstverband).- Verschillende opleidingsmogelijkheden en tevens de kans om intern door te groeien.- Legendarische bedrijfsuitjes zoals met z’n allen naar de Zwarte Cross of skiën in Winterberg.SollicitatieprocedureContactgegevensBedrijfsnaam: FYGIContactpersoon: Stefan MensinkAdres: Pelenerf 12Postcode/plaats: 3861 PR NijkerkTelefoon: 0649507795Email: [email protected]

In this role, you will delve into the analysis, implementation, and application of novel numerical methods to efficiently and accurately compute volume integral operators that lie at the core of powerful integral equation formulations of acoustic, elastic, and electromagnetic wave equations. These methods hold the potential to significantly enhance the accuracy, geometric flexibility, efficiency, and implementation costs of wave equation solvers. As a result, you will have the opportunity to make significant contributions to cutting-edge research at the intersection of computational mathematics and its applications in physics, engineering, and material sciences, with a specific focus on addressing direct and inverse problems in nanophotonics and plasmonics. You will be immersed in a vibrant, international, and interdisciplinary research environment, which provides ample opportunities for collaboration with other groups within the MESA+ Institute. Additionally, the position includes funding for a research visit to the POEMS Lab at CNRS/INRIA/ENSTRA-Paris, France. This presents a valuable opportunity to enrich your experience and broaden your professional network in the field.Requirements: You hold, or will soon obtain, an MSc degree in (Applied/Computational) Mathematics. Candidates with MSc degrees in (Applied) Physics or Electrical Engineering will also be considered, provided they can demonstrate sufficient mathematical knowledge.You have a strong background in Scientific Computing and Numerical Analysis.You possess solid programming skills.You have proficiency in English.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

The Computer Architecture for Embedded Systems CAES and Design and Analysis of Communication Systems DACS groups of the University of Twente have vacancies for two PhD (fully-funded, 4 years) and one postdoc (3 years) related to the use of energy flexibility of data centers. According to a recent report by the European Union), data centers in the EU accounted for an estimated 1.8–2.6% of total EU electricity use in 2022 while in the Netherlands this fraction is around 5%. These data centers are essential in the operation of digital services, and by that there is a growing need for improving their sustainability. Unfortunately, the energy systems of new data centers, industry and renewable energy generation cannot always be integrated due to a lack of grid capacity within the Netherlands. Furthermore, as the current growth of data centers increases this capacity problem further, this research project will work on mitigating this problem and develop solutions that allow datacenters to be better integrated in the electricity systems to make a positive contribution to addressing capacity issues and efficient use of renewable energy by shifting their demands in time and space using efficient orchestration algorithms. Project Description: The research is part of the MISD project and the candidates will become a part of a multidisciplinary team on energy management that consists of researchers from several research groups. The aim is to develop and integrate methods that support the integration of data centers in the energy grid by unlocking and using the flexibility in the operation of data centers to mitigate grid congestion and shift peak demands in space and time, e.g., to times of availability of renewable energy. The focus of this Post-doc position is as follows: the researcher (with a PhD researcher in the project) develops a methodology that allows task scheduling capabilities of the data center to be used for creating energy flexibility. The researchers will develop analytical models, simulation models, interfaces, and adapt and integrate continuum orchestration algorithms (e.g., smartly using edge computing resources and telco-edges) developed within the project. The researcher will directly work with dr. Suzan Bayhan and dr.ir. Marco Gerards. Altogether, the post-doc and PhD researchers collaborate on common tasks and integrate and evaluate their work with research by other researchers within the MISD project. Expected starting date: August 2024Tentative first interview date: 13 May or 15 May 2024. The 1st (online) meeting serves as an introduction, where we introduce ourselves to you and you to us. You may be asked to give a short presentation. This will be further explained in the invitation. Tentative 2nd interview date: June 2024. In the second interview, we will further discuss the job content, your skills, and your talents.Requirements: We are looking for highly motivated researchers with the following profile: You have an MSc and PhD degree in Computer Science, Electrical Engineering, Mathematics, Sustainable Energy or in a related field,You have a good team spirit and like to work in a multidisciplinary, internationally oriented environment,You are familiar with analytical modeling, machine learning, optimization approaches, or are willing to develop skills in (some of) these areas,An understanding of computing and communication networks (e.g., edge/cloud computing) is a plus,You are eager to take responsibility also with supervision, project management, and organizational activities,You are proficient in English and able to collaborate intensively with industrial and academic parties in regular meetings and work visits.Salary Benefits: You will be appointed for a period of 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 € 3877.,- and € 5090,- 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 campus.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.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.We 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 Computer Architecture for Embedded Systems CAES, Design and Analysis of Communication Systems DACS, and Mathematics of Operations Research MOR groups of the University of Twente have vacancies for two PhD (fully-funded, 4 years) and one postdoc (3 years) related to the use of energy flexibility of data centers. According to a recent report by the European Union), data centers in the EU accounted for an estimated 1.8–2.6% of total EU electricity use in 2022 while in the Netherlands this fraction is around 5%. These data centers are essential in the operation of digital services, and by that there is a growing need for improving their sustainability. Unfortunately, the energy systems of new data centers, industry and renewable energy generation cannot always be integrated due to a lack of grid capacity within the Netherlands. Furthermore, as the current growth of data centers increases this capacity problem further, this research project will work on mitigating this problem and develop solutions that allow datacenters to be better integrated in the electricity systems to make a positive contribution to addressing capacity issues and efficient use of renewable energy by shifting their demands in time and space using efficient orchestration algorithms. Project Description: The research is part of the MISD project and the candidates will become a part of a multidisciplinary team on energy management that consists of researchers from several research groups. The aim is to develop and integrate methods that support the integration of data centers in the energy grid by unlocking and using the flexibility in the operation of data centers to mitigate grid congestion and shift peak demands in space and time, e.g., to times of availability of renewable energy. The focus of the PhD positions are as follows: ? PhD-1 (CAES and MOR groups) works on an energy management system that offers flexibility to electricity grid operators, minimizes energy costs and can decrease the CO2 footprint of data centers. For this, energy flexibility models, simulation models and algorithms that exploit this flexibility need to be developed and integrated. The researcher will directly work with dr. ir. Marco Gerards and prof.dr. Johann Hurink. ? PhD-2 (DACS and CAES groups) develops a methodology that allows task scheduling capabilities of the data center to be used for creating energy flexibility. The researcher (with a Post-doc working in the project) will develop analytical models, simulation models, interfaces, and adapt and integrate continuum orchestration algorithms (e.g., smartly using edge computing resources and telco-edges) developed within the project of PhD-1 (energy management system). The researcher will directly work with dr. Suzan Bayhan and dr.ir. Marco Gerards. Altogether, the researchers collaborate on common tasks and integrate and evaluate their work with research by other researchers within the MISD project. Expected starting date: August 2024Tentative first interview date: 13 May or 15 May 2024. The 1st (online) meeting serves as an introduction, where we introduce ourselves to you and you to us. You may be asked to give a short presentation. This will be further explained in the invitation. Tentative 2nd interview date: June 2024. In the second interview, we will further discuss the job content, your skills, and your talents.Requirements: We are looking for highly motivated researchers with the following profile: You have an MSc degree in Computer Science, Electrical Engineering, Mathematics, Sustainable Energy or in a related field.You have a good team spirit and like to work in a multidisciplinary, internationally oriented environment.You are familiar with analytical modelling, machine learning, optimization approaches or willing to develop these skills.For PhD-2 position, an understanding of computing and communication networks (e.g., edge/cloud computing) is a plus.You are proficient in English and able to collaborate intensively with industrial and academic parties in regular meetings and work visits.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

The Dutch industry needs a skilled workforce to keep up with and contribute to digital and green transitions. Currently, implementing new technology is often seen as complex, as this also affects the production processes and way of working. This might result in managers either jumping to solutions (without fully understanding the implications) or postponing or refraining from engaging in the development of their business. Managers and entrepreneurs therefore need to become action-intelligent and co-design with their production workers production systems for worker-technology symbiosis. To support managers in their decision making around Smart Industry, we need to gain insight into how managers make meaning of the Industry 5.0 transition, what subsequent decisions are made and how these processes can be optimised. This allows managers to create and implement more successful strategies for their own organisation’s development alongside core values such as human-centricity, sustainability, and resilience and, in this way, provide the foundation for developing Smart production systems As a Post-doc researcher in this project, your job is to Design and conduct longitudinal qualitative case studies to better understand how managers make meaning of the Industry 5.0 transition, and how this influences their decision making.Design and conduct interventions to support managers’ meaning- and decision-making processes to facilitate more successful organizational change.Work independently on your own research, while remaining in close relation with other researchers in the project team as well as with stakeholders and professionals of the involved learning communities.Report and present your findings for both scientific and non-scientific audiences (e.g., at scientific conferences, in journal publications, or during workshops with practitioners). The post-doc position is funded by NWO and is part of the project Smart Skills@Scale. The Dutch industry needs a skilled workforce to keep up with and contribute to digital and green transitions. However, finding qualified employees is challenging, and skills quickly become outdated due to fast-developing technologies (AI, VR, robots). Currently, most Smart Industry companies lack human capital and knowledge to achieve their maximum potential. Smart Skills@Scale connects 5 universities, 3 universities of applied sciences, eleven Smart Industry communities, 450 SMEs, and several social partners and educational partners in an eight-year program to realize a major breakthrough aimed towards creating a sustainably employable workforce. We stimulate the development of human-centric production systems, smart workplaces, jobs and careers, and (regional) partnerships. With this integrated approach, we want to empower production employees and organizations to achieve a human-centric, resilient, and sustainable Smart Industry sector. The program started at the beginning of 2024 with a new team of three PhD-students, three post-doc researchers, four senior researchers and their supervisors. We now invite a new researchers to join our team and to work on the role of managerial meaning making and decision making.Requirements: You hold your PhD (or are close to completion) in Organization Studies, Organizational Sociology, Educational Science,(Work & Organizational) Psychology, or a related field. In addition, you: have expertise or demonstrable interest in meaning making processes, decision making and organizational change;have strong methodological knowledge (qualitative; process research);have experience with field research and longitudinal designs;have an interest in the challenges related to industry 5.0, with a focus on human capital rather than technical matters;have good social and communication skills in academic as well as non-academic contexts;are fluent in English and able to understand and communicate in Dutch (data collection will be in Dutch);have excellent writing skills;are willing and have proven ability to work independently, but also to collaborate with a team and relevant stakeholders.Salary Benefits: A 4-year post-doc position (1,0 fte), starting in between October 2024 and January 2025.The gross salary is in accordance with the Collective Labour Agreement for Dutch Universities (CAO NU) € 3.226,- to € 5.090,- per month for a fulltime position, depending on experience.On top of this, you receive a holiday allowance of 8% of the gross annual salary and an 8.3% end-of-year bonus.We offer excellent auxiliary terms of employment, such as professional and personal development programs;a secondary remuneration package;a dynamic environment with enthusiastic colleagues;an organization focusing on internationalization;a high degree of responsibility and independence.Work Hours: 28 - 40 hours per weekAddress: Drienerlolaan 5

This PhD project is part of the ERC Consolidator Grant project WINDFLOW, which strives to develop groundbreaking large-eddy simulation strategies for wind farm flows. Joining our team means contributing to a vital area of research. This PhD opportunity allows you to enhance your understanding of fundamental fluid and atmospheric dynamics while developing simulation technologies. Our aim is to create innovative simulation strategies enabling simulations with unparalleled detail. Join us in advancing the frontiers of wind energy research!Requirements: We are seeking applications from motivated early-career researchers with a strong background in fluid dynamics, mechanical engineering, computational physics, applied physics, mathematics, geophysics, or related subject areas. Experience with programming languages such as Fortran, C/C++, MATLAB, or Python is advantageous. Candidates should thrive in an international environment and have excellent communication skills to actively contribute to team research efforts. You will present your work at international conferences. Proficiency in spoken and written English is essential. We value independence and responsibility while promoting teamwork and collaboration among colleagues.Salary Benefits: This position is integral to the ERC WINDFLOW project and offers integration into a dynamic research group with peers exploring similar themes. A full-time position for four years, with a qualifier in the first year.Salary and associated conditions are in accordance with the collective labor agreement for Dutch universities (CAO-NU).Access to novel research facilities, including top-tier supercomputers.Professional and personal development program within Graduate School Twente.Excellent mentorship and a stimulating international research environment.The monthly salary is € 2.770 in the first year, increasing yearly to € 3.539 in the 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.A minimum of 29 holidays in case of full-time employment.Free access to sports facilities on campus.Work Hours: 38 - 40 hours per weekAddress: Drienerlolaan 5

This PhD project is part of the ERC Consolidator Grant project WINDFLOW, which strives to develop groundbreaking large-eddy simulation strategies for wind farm flows. Your research will examine the interplay between dynamic shifts in large-scale atmospheric conditions, as described by weather models, and the performance of large wind farms. This PhD provides the opportunity to develop novel insights into atmospheric dynamics and leverage this to improve wind farm efficiency. Join us in pushing the boundaries of wind energy fluid mechanics research!Requirements: We are seeking applications from motivated early-career researchers with a strong background in fluid dynamics, mechanical engineering, computational physics, applied physics, mathematics, geophysics, or related subject areas. Experience with programming languages such as Fortran, C/C++, MATLAB, or Python is advantageous. Candidates should thrive in an international environment and have excellent communication skills to actively contribute to team research efforts. You will present your work at international conferences. Proficiency in spoken and written English is essential. We value independence and responsibility while promoting teamwork and collaboration among colleagues.Salary Benefits: This position is integral to the ERC WINDFLOW project and offers integration into a dynamic research group with peers exploring similar themes. A full-time position for four years, with a qualifier in the first year.Salary and associated conditions are in accordance with the collective labor agreement for Dutch universities (CAO-NU).Access to novel research facilities, including top-tier supercomputers.Professional and personal development program within Graduate School Twente.Excellent mentorship and a stimulating international research environment.The monthly salary is € 2.770 in the first year, increasing yearly to € 3.539 in the 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.A minimum of 29 holidays in case of full-time employment.Free access to sports facilities on campus.Work Hours: 38 - 40 hours per weekAddress: Drienerlolaan 5

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

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

Nu ook beschikbaar als avond trainingSalestijger, commerciële duizendpoot of topverkoper? Hoe we de functie ook noemen, het is duidelijk: jij hebt een fantastische dag als je jouw klanten blij hebt gemaakt met een nieuw product of extra dienstWij zijn op zoek naar het visitekaartje en commercieel wonder voor ons project van KPNLeuk dat visitekaartje, maar wat ga ik dan doen?Hoe ziet jouw dag er uit? Na een warm welkom van je gezellige collega's ben je klaar voor je dag. Je helpt de klanten met het zoeken naar de producten en diensten die het beste bij ze passen. Je bent het enthousiaste eerste aanspreekpunt voor klanten met een vraag over een abonnement, verlenging of verbruik. Je toont van nature interesse in je klanten waardoor je snel een klik hebt, een gunfactor hebt creëert en de behoefte van het huishouden samen met de klant in kaart hebt gebracht. Doordat je lef toont en de juiste vragen stelt, ben jij in staat om het best passende aanbod aan jouw klanten te presenteren. Hierbij weet je op een positieve wijze een combinatie te maken tussen verschillende KPN producten voor het gehele gezin. Eventuele bezwaren weet jij makkelijk om te buigen naar koopmotieven. Dit doe je met een natuurlijke overtuiging en optimale klantbeleving. Jouw klanten kunnen simpelweg niet anders dan JA tegen jou zeggen. Kortom sales zit in jouw bloedAan het einde van je dag log je met een tevreden gevoel uit. Je hebt wederom bewezen dat jij de salestijger bent en hebt een gezellige dag gehad waarin je je weer hebt kunnen ontwikkelen. Door de aantrekkelijke incentives weet je ook meteen wat je naast je salaris nog extra hebt verdiend Naast ontzettende goede koffie, bieden wij mooie arbeidsvoorwaarden, zoals::EUR13,80bruto per uur;:Kans op bonussen tot wel EUR500,: per maand boven op je salaris + toeslag;:8 vakantiegeld, bovenop je loon;:Jij komt direct op contract bij Continuum;:Reiskostenvergoeding;:Jij krijgt 22 vakantie dagen als je fulltime werkt, daarnaast kun je 4 extra vakantie dagen verdien als verzuimbonus;:Werken wanneer jij wilt Bepaal jouw eigen rooster (parttime en fulltime mogelijkheden);:Een mooie balans tussen thuis en op kantoor werken;:Help jij de Recruiters bij het aandragen van nieuwe collega's? Dan belonen wij dit met EUR500,: bruto per aangenomen nieuwe collega;:Ontwikkelen in je huidige functie en/of doorgroeien naar een andere functie is bij ons een vanzelfsprekendheid;:Wij zijn ook bezig met jouw toekomst, bij ons neem je direct deel aan een pensioenregeling, volledig betaald door Continuum;:FUN, met hoofdletters Feestjes, leuke acties, online activiteiten en gave kantines waar je kunt gamen en relaxen. 'Work hard, Play hard'Wij zijn een match als::Jij je thuis voelt in omgeving waarin commerciële successen gezien, gevierd en beloont worden;:Jij meer dan gedreven bent om van jouw werk een succes te maken:Jij je wilt ontwikkelen;:Jij 18 jaar of ouder bent;:Jij vooral enthousiast en gemotiveerd bent;:Jij continu op zoek bent naar kansen;Jouw inwerktraject:Je volledig betaalde training op kantoor in Enschede is in totaal 5 avonden in 2 weken van 17:00 uur tot en met 20:30 uur of in 1 week 5 dagen van 09:00 tot 17:00 uur. In deze training laten we je kennismaken met KPN en Continuum. Daarnaast leren we je alle fijne kneepjes van het vak, zodat je vol zelfvertrouwen energiek de (potentiele) klanten te woord kan staan. Na deze week wordt je op behoefte geholpen om jezelf te ontwikkelen tot de salestijger die jij wil zijn:

The vacancy is focused on calibration in deep learning. Deep Neural Networks (DNNs) have demonstrated significant predictive capabilities across various domains including computer vision, speech recognition, and natural language processing. Existing sophisticated neural network architectures are frequently integrated into practical applications. However, recent research has highlighted a crucial issue: despite their high accuracy achieved through training, deep neural networks often have overconfident and underconfident predictions. Deploying uncalibrated models in real-world systems poses substantial risks, particularly in safety-critical contexts like monitoring critical infrastructure systems. Calibrating deep learning models is essential to mitigate this risk, ensuring that the model's posterior distribution accurately represents uncertainty without being excessively overconfident. The PhD candidate is supposed to carry out research on calibration in deep learning at the Pervasive Systems Research group, Department of Computer Science, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at the University of Twente in the Netherlands. The candidate is expected to closely collaborate with the project partners such as Vrije Universiteit, Saxion, TNO-ESI and industrial partners ASML, Canon Production Printers, ITEC, Philips, and ThermoFisher Scientific. The main research objectives are: Conduct research in calibrating AI, including but not limited to designing and implementing calibrated deep neural models, conducting experiments, analyzing data, and interpreting results.Collaborate with the team to explain the root causes of model miscalibration, optimize diagnostic processes for monitoring for Cyber-Physical System diagnostics.Write technical reports and research papers for publication in top-tier journals and conferences (Percom, Ubicomp, IPSN, SenSys, IJCAI, AAAI, NIPS, ICML).Requirements: The ideal candidate has a Master’s degree in either Computer Science, Electronic Engineering, Telecommunication Engineering, or MathematicsYou have solid background and strong experience in deep learningFamiliarity with Cyber-Physical Systems and systems diagnosticsYou should be interested in solving analytical tasks, conduct experiments, and develop prototypes, combined with intermediate programming skills (e.g. in R, Python or C-something)Prior experience in calibrating AI, generative AI is a plus (with frameworks such as TensorFlow and Pytorch)You have a strong personality to defend your research ideas not only at university but also in an industrial contextYou have good communication skills, and you have a strong interest in operating at the crossroads of different disciplinesYou have an excellent command of English (C1; above IELTS 6.5 or equivalent)You are able to do independent research and have publication skillsSalary 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

You will be a member of the MSCA Industrial Doctoral Network on Digital Finance, a European Research and Training programme with several leading European universities and companies involved, such as the European Central Bank (ECB) and the Bank for International Settlements (BIS), where you will spend at least 18 months in total. In your project, you will do research on and apply machine learning techniques to make a real-world impact in academia and at financial institutions. A potential research topic is the design of an intelligent search bot that maximises AI technologies to improve the accessibility and user experience of public data portals. Further research will focus on ML techniques and NLP to improve supervisory technology (Suptech) methods. Both topics are relevant and of interest to the ECB and BIS, e.g. as part of their tool Olympus, that provides support in various areas, such as advanced analytics, process automation and digital collaboration. You will join the Industrial Engineering and Business Information Systems (IEBIS) section of the High-tech Business & Entrepreneurship Department (HBE) at the Faculty of Behavioral 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. Information about all other positions is available at EURAXESS, if you are interested in any of the other positions as well, clearly state that in your cover letter. DIGITAL' main goal is to significantly advance the methodologies and business models for Digital Finance through five interconnected research objectives: Towards a European financial data spaceArtificial intelligence for financial marketsTowards explainable and fair AI-generated decisionsDriving digital innovations with Blockchain applicationsSustainability of Digital Finance Those are all key strategic priorities of the European Commission over the next five years. The challenge A competitive European financial sector is vital for the modernization of the European economy across sectors and to turn Europe into a global digital player. Are you prepared to reshape the financial sector by doing research on those topics? If this resonates with you, this position could be your ideal opportunity!Requirements: You are a highly motivated, enthusiastic researcher who is driven by curiosity and has: Skills and Prerequisites: Master’s degree or equivalent experience in Business, Economics, Engineering, Information Technology, Mathematics, Computational Science or related fields;A strong passion and outstanding skills in data science and experience working with Python;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;Knowledge and experience with ML design and implementation, working with multiple libraries/platforms (e.g., Pandas, Sklearn, Conda, Github, etc.). Experience with natural language processing, especially LLM is a plus;Strong mathematical background, in particular statistics & probability, linear algebra, calculus and optimization;Interest in practical applications of ML and AI, with attention to aspects such as explainability, ethics, and honest usage of customer data;Familiarity with international organizations and banking regulations is a plus. The researcher working on this project will be a member of the coordinator team and the doctoral training team, thus contribution to coordination (research, technical, or financial) and other activities of the MSCA Doctoral Network is a substantial element of the candidate's work and professional development plan. The Ph.D. development includes a large number of aspects, from scientific publications, building industry prototypes, communication and dissemination activities, public outreach to longer-term impact and results We further emphasize that all Ph.D. candidates in DIGITAL will collaborate, therefore involvement and contribution to the topics and activities of DIGITAL is an important element of this position. Interested and motivated candidates are encouraged to apply, even when they do not yet possess all desired skills. Through dedicated learning and doctoral training, you will be able to develop relevant skills on the job.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 doctoral position with a qualifier within 12 months; excellent mentorship in a stimulating research environment with excellent facilities; and a personal development program within this European network. 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 programme as part of the Twente Graduate School where you and your supervisors will determine 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. Secondments at Industry, the Bank for International Settlements and the European Central Bank This position includes several research stays at industrial partners. Placements will likely include 11 months at the BIS and 12 months at the European Central Bank (nationality restrictions apply). During those secondments, you will gain hands-on experience on industry-relevant research projects related to applications of AI in finance. The details of the secondments can change in terms of durations as well as companies. Compliance with the European mobility rule for MSCA positions is required, please check carefully before applying.Work Hours: 38 - 40 hours per weekAddress: Drienerlolaan 5

The Faculty of Behavioural, Management, and Social Sciences at the University of Twente is currently seeking a PhD-student committed to investigating, understanding, and supporting the collaborative learning and innovation practices of interorganizational learning communities on the circularity and energy transitions. In this NWO-funded project, you will contribute to a deeper understanding of how teams collaboratively make sense of these transitions, create shared objectives for joint experimentation, and how individual participants engage in transformative learning activities to shape their new work practices. This interdisciplinary PhD project revolves around close collaboration with practitioners and other researchers. The ideal candidate shares our passion for combining scientific rigor with societal relevance and has a drive to co-create tools and methods with our stakeholders to support the learning communities in their ambitions. Research and industry have advocated for setting up learning communities as a new form of organizing and creative space in which professionals from various organizations and with different backgrounds and perspectives can work, collaborate, and innovate together. However, learning and innovating across organizational and professional boundaries in such learning communities is challenging: How do these teams develop and then enact shared goals? And how can individual participants translate findings back to their own work and update or change practices or the activities of their parent organization? In this NWO-funded project, we study 18 learning communities (of different sizes, maturities, focus points, etc.) in which professionals experiment and collaborate to push forward matters related to the circularity and energy transitions. The PhD-project focuses on the team and individual level to study and support meaning-making, collaboration, and transformative learning in learning communities. In addition, this project includes the possibility to directly contribute to pressing questions on how to transform work practices, organize work in the future, and tackle some of today’s biggest societal challenges. The PhD position is part of the NWO-funded project Power up! Empowering Learning Communities for Interorganizational Learning and Innovation to Accelerate the Energy and Circularity Transitions. In this project, several other partners are also involved, including VU (Vrije Universiteit Amsterdam), Universities of applied sciences Saxion and Rotterdam, , and 18 existing learning communities. You will closely collaborate with a post-doc (VU) and another PhD-student (Saxion).Requirements: As a PhD-student in this project, you will work on the intersection of science and practice. You will contribute to the understanding of how interorganizational learning communities can collaborate and learn together to come up with the required innovations for accelerating the circularity and energy transitions. More specifically, your job is to: Design and conduct longitudinal studies to better understand how meaning-making, collaboration, and transformative learning processes and practices unfold and can be best facilitated in spaces where professionals from various backgrounds and organizations come together.Work independently on your own research while remaining in close exchange with other researchers in the project team as well as with stakeholders and professionals of the involved learning communities.Report and present your findings for both scientific and non-scientific audiences (e.g., at scientific conferences, in journal publications, or during workshops with practitioners). To be considered for this position, you should: have a MSc. degree in Educational Science, Business Administration, Psychology, Human Resource Management, Organization Studies, Communication Science, or a related field;have expertise or demonstrable interest in the process of continuous learning and innovation practices in a team context;have an interest in the challenges related to circularity and/or energy transitions, with a focus on human capital rather than technical matters;have strong, demonstrable methodological knowledge and skills, preferable experience with process research and (ethnographic qualitative) field studieshave an interest in the design of tools or methods to support collaboration and learning practices;have good social and communication skills in academic as well as non-academic contexts;are fluent in English and able to understand and communicate in Dutch (hard requirement, for non-native speaker, please indicate your current proficiency);have excellent writing and organization skills;have proven ability to work independently, but also to collaborate within a team and with relevant stakeholders (both within and outside academia).Salary Benefits: A 4-year PhD-position (1.0fte), starting in June 2024.the gross salary is in accordance with the Collective Labour Agreement for Dutch Universities (CAO NU) € 2.770,- to €3.539,- per month for a fulltime position, depending on experience.on top of this, you receive a holiday allowance of 8% of the gross annual salary and an 8.3% end-of-year bonus.we offer excellent auxiliary terms of employment,such as professional and personal development programs;a secondary remuneration package;a dynamic environment with enthusiastic colleagues;an organization focusing on internationalization anda high degree of responsibility and independence.Work Hours: 38 - 40 hours per weekAddress: Drienerlolaan 5

At the Surface Technology and Tribology (STT) chair in the faculty of Engineering Technology (ET), we are currently seeking a highly motivated PhD candidate to research on the topic of friction mechanisms in single-grain sliding. The challenge Under highly accelerated slip, several physical phenomena contribute to the dynamic friction behavior of mechanical systems. Understanding friction in grain (micro)-scale contacts is relevant to several industrial and geo-mechanical systems. For example, loss of friction and slip causes errors in highly accurate positioning stages in lithography. Earthquakes also occur due to sudden slip when the frictional strength of the crushed rock granules in geological faults is overcome. We plan to study the friction phenomena in a single-grain (asperity) contact by performing experiments to accurately model friction during high-acceleration sliding. Dynamic friction in single-grain (sphere-on-flat) contact in a fluid environment is affected by coupled phenomena such as frictional heating, fluid pressurization, etc. By instrumental analysis of single-grain experiments, we can formulate a physical basis for these friction processes and derive experimentally validated single-grain friction laws for highly dynamic slip. Our aim is: To design and perform sliding experiments to investigate the micro-mechanics of dynamic frictional phenomena and develop friction laws for single-grain contact. Job description The PhD candidate will plan and implement the research towards the project objectives by:participating in the design and development of a setup for highly dynamic sliding experiments.performing in-(/ex-)situ thermographic and spectroscopic studies to inspect and quantify variations in frictional forces and phenomena.developing experimentally validated, grain-scale friction models.working with an interdisciplinary team in partnering departments and universities to efficiently calibrate and implement friction models to build larger scale Multiphysics solvers. You will actively participate during the progress meetings and discussions of our research chair and project partners. We encourage our researchers to present and publish their results at international conferences and in reputed journals.Requirements: MSc (masters) degree in Mechanical Engineering or equivalent, preferably with a background in tribology.Experience in experimental design and techniques is an advantage!You are passionate to learn and to improve.You thrive in a collaborative environment.You are proficient in English language and interpersonal skills.Salary Benefits: A full-time 4-year PhD position.Excellent working conditions in a very exciting and creative environment within a green and lively campus.A professional and personal development program within Graduate School Twente, culminating in professional scientific development and leading to acquiring a PhD degree.You will receive a gross monthly salary ranging from € 2.770,- (first year) to € 3.539,- (fourth year).There are attractive benefits including a holiday allowance of 8% of the gross annual salary and an end-of-year bonus of 8.3%.A proven pension scheme.Minimum of 29 holiday days per year in case of full-time employment.A vibrant ecosystem with encouraging colleagues and mentorship, where internationalization with equal opportunity is an important aspect of the strategic agenda.Work Hours: 38 - 40 hours per weekAddress: Drienerlolaan 5

This position is part of a large project recently funded by the European Union’s IPCEI program. Here, the University of Twente together with academic/research organizations and industrial partners join forces in the development of a sustainable data center. Project description In this project, a novel thermochemical heat transformer will be developed and tested at the relevant operating conditions. It will be used for temperature boosting of low-grade data center waste heat using an innovative process. The goal of this Ph.D. is to develop a lab-scale thermochemical heat transformer. To achieve this task, the development of new materials as well as the reactors needs to be undertaken. You will investigate several design concepts for this system. For this purpose, various test rigs will be developed for the testing of reactive materials. You will develop an understanding of how microstructural changes impact the output from the heat upgrade system. You will be responsible for the prototype scale demonstration of the upgrade system. You will work with other Ph.D. students and postdocs in a team to accomplish this goal. You are expected to present your work during regular project meetings with the consortium partners as well as at various national/international conferences.Requirements: We are looking for an enthusiastic, professional, and ambitious colleague, with the following profileYou are an outstanding MS graduate in the field of Thermal Engineering, Chemical Engineering, Energy Technology, Mechanical Engineering, or related discipline with a proven affinity to multidisciplinary assignmentsYou have a strong and demonstrable background in Advanced Thermodynamics, Experimental Heat Transfer, and/or thermochemical cycles at the graduate levelYou have the ambition and talent to accelerate in finding solutions for complex technological issues with a multidisciplinary characterYou have strong analytical skillsYou can work in a multidisciplinary team of researchers coming from various branches of science and industryYou have good communication skills and a sound project approach.You speak and write fluent EnglishSalary Benefits: A full-time 4-year Ph.D. positionWe provide excellent mentorship and a stimulating international research environment with excellent facilitiesA professional and personal development program within Graduate School TwenteA starting salary of € 2.770,- in the first year and a salary of € 3.539,- in the fourth year gross per month;A holiday allowance of 8% of the gross annual salary and a year-end bonus of 8.3%A solid pension schemeA minimum of 29 holidays per year in case of full-time employmentA dynamic and international environment, combining the benefits of academic research with a topic of high industrial relevanceExcellent workingWork Hours: 40 hours per weekAddress: Drienerlolaan 5

Thousands of students across many technical programmes are taught mathematics every year at the University of Twente, by teachers based in the Applied Mathematics Department. Assessment of mathematical proficiency is an important part of this process and requires substantial dedication of time and attention. Traditional assessment in the form of closed-book examination has its advantages. However, there exist many forms of alternate assessment, including automated approaches such as digital grading, offering different opportunities and advantages. FERMAT (Fundamental Educational Research in Mathematics at Twente) is a new research group within the Applied Mathematics department with a mission to engage in practice-led research to benefit the teaching and learning of mathematics. FERMAT has made streamlining assessment one of its core interests. We seek a PhD candidate who is passionate about mathematics education to engage in a project evaluating the affordances and constraints of different forms of automated and alternative assessment, comparing and contrasting assessment forms across mathematics courses and between courses in mathematics and other disciplines within the faculty and the UT. It is expected that the outcomes of the project will include practical implementation (or plans for implementation) of assessment reform which will have positive impact on teachers’ workloads, while maintaining, or even improving, the quality of assessment.Requirements: You hold a Masters degree in Mathematics Education or Mathematics. If the latter, supporting courses in education would be beneficial. Candidates close to graduating are also encouraged to apply.You have strong communication skills, including fluency in written and spoken English.You have a creative mindset and are passionate about the teaching and learning of mathematics.You have strong social skills and the ability to work with academic teachers and, potentially, outside partners.A record of publication in education would be beneficial, but is not mandatory.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;You will be embedded in a dynamic research group with colleagues working on other mathematics education projects;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;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 campus;A 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

The four-year PhD position starts on the 2nd of September 2024 (or as soon as possible thereafter). The research project will be embedded in the Health Technology Services (HTSR) department, at the Faculty of Behavioural Management and Social Sciences of the University Twente (UT, The Netherlands). The PhD candidate will be supervised by dr. Sopany Saing (HTSR), dr. Sebastian Rachuba (Center for Healthcare Operations Improvement & Research), and prof. dr. Erik Koffijberg (HTSR). The candidate will collaborate with dr. Olivier Manintveld (Erasmus UMC, Rotterdam). Project Description Competition for limited healthcare resources is a hallmark of any healthcare system. In practice, this translates into a waiting list problem: patients need to wait for a resource to become available, e.g. solid organ transplantation waiting lists and the associated staff and bed/room space needed for the surgery and post-operative care. Compared to timely patient management, delayed interventions commonly result in loss of quality of life, or even death, and additional costs and burden to the healthcare system. This begs the question, if a technological advancement is introduced into a clinical pathway restricted by resource constraints, how would this affect the waiting time for patients to receive healthcare? In organ transplantation, examples of such advancements include warm perfusion or mechanical circulatory support. Warm perfusion or 'Heart in a Box' allows a donor organ to remain viable for longer outside of the human body. Related to waiting time, there is also a growing concern regarding the shortage of the healthcare workforce. This means that patients are competing for similar healthcare professionals. What does the technological innovation mean for the healthcare workforce? This project will explore how we can measure the true impact of new innovations on available personnel capacity. The concept of capacity constraints is important in Health Services Research but is typically not considered in Health Technology Assessment (HTA). HTA is a tool relied on by decision makers at both national governments and in some instances, at the hospital level, to determine whether or not to adopt a new technology. Healthcare delivery and the respective healthcare pathways are typically very complex and involve multiple stakeholders and different types of interventions (e.g. diagnostic, pharmaceutical, surgery, rehabilitation…). By incorporating capacity constraints in HTA we can develop a more clinically realistic model. Using simulation modelling techniques allows us to provide better support for decision-making processes at both the National and hospital level. The overarching objective of the project The project aims to investigate the health economic, but also broader impact, on healthcare resources, workforce, and the healthcare system, of innovations in the context of end-stage organ failure, using simulation modelling. This broader scope will generate insights beyond traditional HTA outcomes, thereby supporting hospitals and society in making optimal implementation and investment decisions. The model will capture the interaction and competition between the patient, donor organs, healthcare professionals, physical resources and the innovation of interest. In collaboration with cardiologists at Erasmus Medical Centre in Rotterdam we will be exploring the impact of ‘Heart in a Box’ (warm perfusion of donor organ) in end-stage heart failure.Requirements: Please apply if you are a highly motivated, enthusiastic and curious researcher who wants to combine academic depth with practical applicability, and who dares to take on the challenge of an interdisciplinary research project! We are looking for a candidate with the following qualities, interests and background: A MSc degree in health technology assessment, health economics, health sciences, econometrics, economics, statistics, operations research, computer science, applied mathematics or a closely related quantitative discipline;strong analytical skills;good programming skills, e.g. R or Python;the ability to work both independently and collaboratively;good organizational and communication skills; andgood communication skills and an excellent command of spoken and written English.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 fulltime 4-year PhD 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 programme as part of the Twente Graduate School where you and your supervisors will determine 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 labour agreement CAO-NU for Dutch universities.Work Hours: 38 - 40 hours per weekAddress: Drienerlolaan 5

FunctieomschrijvingVoor onze eindklant, gemeente Enschede, zoeken wij een Data Specialist (2x)De opdrachtStart opdracht zsm (rond 13-05-2024)Duur opdracht tot 20-12-2024 met optie op verlengingUren per week 36Locatie Enschede / ThuisTarief € 90 - € 110Jouw rol als Data SpecialistJe ontwerpt en bouwt ETL processen in de ETL tool PentahoJe stelt samen met de requirements analist de specificaties vast voor ETL processenJe beheert ETL processenJe beheert databasesJe documenteert jouw werkzaamheden voor goede overdrachtJe modelleert data om effectief te kunnen voorzien in de rapportagebehoefteJe maakt BI rapportages. Binnen de gemeente Enschede is Cognos de leidende rapportagetool. Power BI wordt ook gebruiktJe bent aanspreekpunt voor andere rapportagebouwers en ondersteunt ze met hun werkzaamhedenJe adviseert over verwerking van de data binnen de DWH en Big Data omgevingenHet “op afstand” uitvoeren van de opdracht is zeker mogelijk waarbij er echter wel sprake moet zijn van een wekelijkse fysieke afstemming (tenminste 1 dag per week) om met de betrokken mensen van Bedrijfs- en Programmabureau en IT op inhoud (samen kijken naar de data, checks op verschillen en oorzaken vinden, gegevenssets bepalen etc.) en voortgang de opdracht af te stemmen alsmede afdoende aan kennisoverdracht te doen. Daarnaast moet er dus wel afdoende aandacht zijn voor het “learning on the job concept”.Functie-eisenEisenJe hebt minimaal een afgeronde HBO-opleiding in een technische richtingJe hebt expertise op het gebied van ETL processenJe hebt minimaal 3 jaren relevante werkervaringWensenJe hebt kennis van moderne (cloud) data engineering methoden en tools ( 5 pt)Je hebt kennis van Pentaho (5 pt)Je hebt aantoonbaar kennis van reportingtools als Cognos en PowerBI (max 5 pt)Je hebt ervaring met datamodelleringstechnieken en agile werkwijze (max 5 pt)Je hebt kennis van data analyse en data kwaliteit (2 pt)Toelichting op de eisen en wensenBij niet voldoen aan 1 van de eisen, kan er geen definitieve offerte worden ingestuurd, er is sprake van een digitale en geautomatiseerde selectie. De wensen worden beoordeeld met een puntensysteem. Hoe meer punten hoe groter de kans op een interview. CV's en offertes indienen langs geautomatiseerde aankoopsystemen kost veel tijd, kan lastig zijn en vergt enige skills om de selectiecriteria te doorgronden. Wij helpen je met een scorende offerte!BedrijfsomschrijvingOptimaData is een full-service, multi-platform database dienstverlener, gespecialiseerd in open source database management systemen. Wij leveren alle diensten rondom databasemanagement zoals consultancy, automation, (cloud) migratie, managed services, training en staffing. De database consultants, database reliability engineers en DBA's van OptimaData zijn zeer ervaren en gewend om in complexe on-premise en cloud omgevingen te opereren. Ze beschikken standaard over kennis en ervaring van meerdere DBMS platformen zoals MS SQL Server, MySQL, MariaDB, MongoDB, NoSQL en PostgreSQL.ArbeidsvoorwaardenSluiting aanvraag donderdag 25 april om 10.00 uurGeselecteerde CV's/reacties worden benaderd door OptimaData uiterlijk 25 april voor 12.00 uurGezamenlijk offerte samenstellen uiterlijk donderdagmiddag 25 april (online)Deadline indienen offerte bij de Gemeente Enschede maandag 29 april om 09.00 uurInterviews (evt online) met de gemeente Enschede zsm na beoordelen offertesReagerenHeb je interesse in deze rol als Data Specialist bij de gemeente Enschede en deze opdracht samen met Multi-platform (open source) Database dienstverlener OptimaData aan te vliegen? Reageer dan met je CV in Word (volledig Nederlands of Engels), uurtarief in euro's en een korte gerichte motivatie in het Nederlands of Engels, kortom een onderbouwd en niet te ontwijken voorstel! Let goed op de eisen in de vraag, wij kunnen zonder voldoen aan alle eisen NIET indienen, wees daarvan bewust.Als wij je hebben geselecteerd gaan we je benaderen en samen de definitieve aanbieding voorbereiden. Zo zullen we ook samen het eindtarief bepalen in volledige transparantie.Heb je vragen over deze opdracht of over OptimaData, aarzel niet en stuur een reactie via deze site.SollicitatieprocedureHeb je interesse in deze vacature of opdracht? Reageer dan met je CV, korte motivatie en richttarief. Wij zullen voor genoemde deadline in het aanbied- en gunningsproces contact met je opnemen om te besluiten of we de procedure met je willen doorzetten. In veel gevallen vragen we vervolgens nog wat voorbereidend werk om je match met de selectiecriteria specifiek te onderbouwen. Uiteraard maken we graag kennis met je en zullen we in overleg de vervolgstappen bepalen.ContactgegevensBedrijfsnaam: OptimaData B.V.Contactpersoon: Edco WalletAdres: IJsselmeerweg 1Postcode/plaats: 1411 AA NAARDENEmail: [email protected]

The Power Electronics and Electromagnetic Compatibility Group within the department Electrical Engineering has a vacancy for a Ph.D. researcher on Effective aperture of openings of systems in reverberant environments within the EU Horizon 2020 Marie Skiodowska-Curie Project NEPIT - Network for Evaluation of Propagation and Interference Training. Unintentional antennas such as openings, like windows, or holes for ventilation, can act as an antenna, allowing EM energy to penetrate opening and these unintentional antennas can radiate in all directions, and over a very, very, very large frequency range but the Electromagnetic effect are undesired therefore we would like that you help us to solve that problem! The objectives are to develop validated models to predict EM coupling into and out of (random) apertures (and random wires) using Monte-Carlo deterministic and statistical techniques for EM waves. Validation via comparison to known antennas and canonical structures and measurements. Key application to airplane structures and automotive windows and openings, but model shall be general for any complex, electrically large (w.r.t. wavelength) apertures. The expected results are to increased knowledge (disseminated), and widely accepted models to be used by industry to estimate the risk of EMI, which can be embedded in current EM tools as applied within industry.Requirements: We are looking for a highly motivated, enthusiastic and curiosity-driven researcher; You have a master in Electrical engineering, physics, mathematicsYou have, or are about to get, a master’s degree in electromagnetic compatibility, telecommunications, electromagnetics or a related field;You have a background in physical electronics, analytical mathematics and simulation;You are an excellent teammate in an enthusiastic and hardworking group of scientists and engineers working on a joint assignment;You are creative, like to push boundaries, and are highly motivated to address major science challenges in EMC;You are proficient in English and able to collaborate intensively with industrial and academic parties in regular meetings and work visits.Salary Benefits: As a PhD researcher at the University of Twente, you will be appointed on a fulltime position for four years, with a qualifier in the first year, within a very stimulating scientific environment; The university offers a dynamic ecosystem with enthusiastic colleagues;Salary and conditions are in accordance with the collective labour agreement for Dutch universities (CAO-NU);You will receive a salary ranging from around €2.770,- gross per month at the start to around €3.539,- in the fourth year;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;A training program in which you and your supervisor will make up a plan for additional suitable education and supervision;We encourage a high degree of responsibility and independence, while collaborating with close colleagues, researchers and other university staff.Work Hours: 40 hours per weekAddress: Drienerlolaan 5