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We are looking for an outstanding PhD candidate on Problem-aware and Similarity-driven Optimization Algorithm Design, Selection and Configuration. This research will draw upon established concepts within the optimization community, from Local Networks and Exploratory Landscape Analysis to Transfer Learning. The scope of the project ranges from benchmarking studies to the definition of appropriate similarity measures and their application for algorithm selection and configuration, addressing crucial societal challenges currently faced in industry, in fields like engineering design, to provide an example. Subsequently, the project will focus on the development of robust and automatically customizable algorithms. This research is motivated by an undiscussed need for problem-aware thinking and algorithm design. Indeed, the efficiency of black-box optimization algorithms is intricately tied to the nature of the problem they aim to solve. While benchmarking serves as an initial stride in comprehending algorithmic behavior within specific problem settings, the challenge lies in understanding what benchmark characteristics are possessed by the real-world scenarios. This gap hinders the ability to make well-informed decisions about algorithm selection and hyperparameter configuration under specific circumstances. Bridging this divide between benchmarked performance and real-world problem characteristics is crucial for practitioners seeking to optimize outcomes and tailor algorithmic approaches to the complexities inherent in diverse, dynamic, practical challenges and environments. Despite many techniques for autotuning algorithm settings available in Machine Learning, e.g., in the field of hyperparameter optimization, how to transfer these methods to practical problems characterized by highly expensive function evaluations, often relying on numerical simulation, is still open. In fact, automatic algorithm configuration can be described from a machine learning perspective as the problem of finding good parameter settings for solving unseen problem instances by learning on a set of training problem instances. In the real world, other instances of the problem under investigation are rarely available. This PhD project wants to fill this gap. The execution of the research will be highly participatory. You will spend time at the Faculty of Science offices, particularly in the Natural Computing Cluster within the Leiden Institute of Advanced Computer Science. You will collaborate with fellow motivated PhD students within the cluster, as well as with developers and maintainers of the IOH Profiler Benchmarking platform. Key responsibilitiesConduct original and novel research in the field of landscape-aware optimization and machine learning for problem-dependent efficient optimization;Publish and present scientific articles at international journals and conferences;Active communication with other PhD candidates and members in the Natural Computing cluster.On-site presence (90% of working time) to facilitate spontaneous interactions with supervisors and colleagues and foster a vibrant and engaged community within the office space;Development and maintenance of the IOH Profiler Benchmarking platform;Assist in relevant teaching activities;Requirements: Selection Criteria The successful applicant should be a motivated university graduate who is a top performer among his/her peers and has an excellent education and/or research track record proven by relevant experience, publications, etc. The applicant is expected to have: MSc degree in Artificial Intelligence, Data science, Applied Mathematics, Computer science, or related field;Good programming skills in e.g., Python, R, C++;Solid experience in Machine (Deep) Learning and/or black-box optimization;Interest in real-world applications, previous experience in applied fields (e.g., engineering design, fluid mechanics, bioscience, finance) is a plus;Excellent written and oral communication skills in English, Dutch proficiency or willingness to learn is a plus;Ability to work with diverse stakeholders, e.g., industry professionals, academic researchers.Salary Benefits: Research at our faculty The Faculty of Science is a world-class faculty where staff and students work together in a dynamic international environment. It is a faculty where personal and academic development are top priorities. Our people are committed to expand fundamental knowledge by curiosity and to look beyond the borders of their own discipline; their aim is to benefit science, and to make a contribution to addressing the major societal challenges of the future. The research carried out at the Faculty of Science is very diverse, ranging from mathematics, information science, astronomy, physics, chemistry and bio-pharmaceutical sciences to biology and environmental sciences. The research activities are organized in eight institutes. These institutes offer eight bachelor’s and twelve master’s programs. The faculty has grown strongly in recent years and now has more than 2.800 staff and almost 6,000 students. We are located at the heart of Leiden’s Bio Science Park, one of Europe’s biggest science parks, where university and business life come together. For more information, see https://www.universiteitleiden.nl/en/science and https://www.universiteitleiden.nl/en/working-at The Leiden Institute of Advanced Computer Science (LIACS) is the Artificial Intelligence and Computer Science Institute in the Faculty of Science of Leiden University. We offer courses at the Bachelor and Master of Science level in Artificial Intelligence, Computer Science, ICT in Business, Media Technology, and Bioinformatics. According to an independent research visitation, we are one of the foremost computer science departments of the Netherlands. We strive for excellence in a caring institute, where excellence, fun, and diversity go hand in hand. We offer a clear and inviting career path to young and talented scientists with the ambition to grow. For more information about LIACS, see https://www.cs.leiden.eduTerms and conditions We offer a full-time 1-year term position for initially one year. After a positive evaluation of the progress of the thesis, personal capabilities and compatibility the appointment will be extended by a further three years. Salary ranges from € 2.770, - to € 3.539, - gross per month (pay scale P in accordance with the Collective Labour Agreement for Dutch Universities). Leiden University offers an attractive benefits package with additional holiday (8%) and end-of-year bonuses (8.3%), training and career development and sabbatical leave. Our individual choices model gives you some freedom to assemble your own set of terms and conditions. Candidates from outside the Netherlands may be eligible for a substantial tax break. All our PhD students are embedded in the Leiden University Graduate School of Science https://www.universiteitleiden.nl/en/science/graduate-school-of-of-science. Our graduate school offers several PhD training courses at three levels: professional courses, skills training and personal effectiveness. In addition, advanced courses to deepen scientific knowledge are offered by the research school. D&I statement Diversity and inclusion are core values of Leiden University. Leiden University is committed to becoming an inclusive community which enables all students and staff to feel valued and respected and to develop their full potential. Diversity in experiences and perspectives enriches our teaching and strengthens our research. High quality teaching and research is inclusive.Address: Rapenburg 70

The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a: Postdoctoral Researcher in Machine Learning (1.5 years, 1.0 FTE), for the Project Mapping the Archaeological Pre-Columbian Heritage of South America (MAPHSA).Information Leiden University is seeking an enthusiastic and well-qualified postdoctoral researcher in machine learning, in particular classification. The primary objective of this 1.5-year position is to develop a method for identifying endangered heritage sites in forested mountains of South America, and to make contributions to the fields of computer science / machine learning and/or computational archeology. The position is part of the Mapping Pre-Columbian Heritage in South America (MAPHSA) project. The project seeks to identify, assess preservation, and develop automated methods for detecting threatened archaeological sites, supporting monitoring efforts by local heritage authorities and stakeholders. The candidate will leverage multi-spectral airborne laser scanning and multi-spectral satellite image data to develop machine learning methods for earthwork feature and tree species classification using input features selection, data fusion, pixel/object-based classification, and multilevel classification system methods. Reference data will be derived from legacy data, field sampling, and high-resolution digital/imaging interpretation. Candidates with an interest in extracting complex networks from geospatial patterns, are particularly invited to apply. During the appointment, the candidate will integrate within LIACS, the computer science department of Leiden University. LIACS has access to a large number of relevant computing facilities and a wide range of expertises. The candidate will be encouraged to collaborate on projects with other members of the Computational Network Science (CNS, https://cns.liacs.nl) group, the MAPHSA project (https://www.upf.edu/web/maphsa), and from other research groups at LIACS in data science, machine learning, and artificial intelligence. There is also the opportunity for the candidate to participate in (limited) BSc, MSc, and PhD student (co-)supervision. Additionally, there are plenty of opportunities for other types of interaction and collaboration within the project, for example with colleagues from the Department of Geoscience & Remote Sensing at Delft University of Technology (TU Delft), and the Faculty of Archaeology at Leiden University. Key responsibilitiesConduct original and novel research in the field of machine learning and remote sensing technologies;Publish and present scientific work in/at international journals and conferences;Collaborate with other researchers at LIACS, and various international partners in the MAPHSA project;Engaging in organizing activities at the institute, university and potentially nationally, among other things to promote the conducted research;Assist in relevant teaching activities;Selection Criteria A PhD* in computer science, mathematics, physics, ecology, remote sensing, earth sciences, computational archeology, or a related field.Strong quantitative skills including data analysis, statistical analysis, and data management.Experience in Python programming.An interest in interdisciplinary research spanning the fields of machine learning, archaeology, remote sensing, spatial analysis, and mathematical ecology.Experience in writing and publishing peer-reviewed articles.Fluency in verbal and written English.Ability to work independently and to engage in multi-author collaborative research projects.Interest in working in an interdisciplinary and collaborative environment as a part of a diverse team.: excellent candidates not (yet) past the PhD phase, but close to graduation, are also invited to apply.Research at our faculty The Faculty of Science is a world-class faculty where staff and students work together in a dynamic international environment. It is a faculty where personal and academic development are top priorities. Our people are committed to expand fundamental knowledge by curiosity and to look beyond the borders of their own discipline; their aim is to benefit science, and to contribute to addressing the major societal challenges of the future. The research carried out at the Faculty of Science is very diverse, ranging from mathematics, information science, astronomy, physics, chemistry and bio-pharmaceutical sciences to biology and environmental sciences. The research activities are organised in eight institutes. These institutes offer eight bachelor’s and twelve master’s programmes. The faculty has grown strongly in recent years and now has more than 2.300 staff and almost 5,000 students. We are located at the heart of Leiden’s Bio Science Park, one of Europe’s biggest science parks, where university and business life come together. For more information, see https://www.universiteitleiden.nl/en/science and https://www.universiteitleiden.nl/en/working-at. The Leiden Institute of Advanced Computer Science (LIACS) is the Artificial Intelligence and Computer Science Institute in the Faculty of Science of Leiden University. We offer courses at the Bachelor and Master of Science level in Artificial Intelligence, Computer Science, ICT in Business, Media Technology, and Bioinformatics. According to an independent research visitation, we are one of the foremost computer science departments of the Netherlands. We strive for excellence in a caring institute, where excellence, fun, and diversity go hand in hand. We offer a clear and inviting career path to young and talented scientists with the ambition to grow. For more information about LIACS, see https://www.cs.leiden.eduTerms and conditions We offer a full-time position for a period of maximum 18 months. Salary ranges from € 3.226, - to € 5.090, - gross per month (pay scale 10 in accordance with the Collective Labour Agreement for Dutch Universities). Leiden University offers an attractive benefits package with additional holiday (8%) and end-of-year bonuses (8.3%), training and career development and sabbatical leave. Our individual choices model gives you some freedom to assemble your own set of terms and conditions. Candidates from outside the Netherlands may be eligible for a substantial tax break. All our PhD students are embedded in the Leiden University Graduate School of Science https://www.universiteitleiden.nl/en/science/graduate-school-of-of-science Our graduate school offers several PhD training courses at three levels: professional courses, skills training and personal effectiveness. In addition, advanced courses to deepen scientific knowledge are offered by the research school. D&I statement Diversity and inclusion are core values of Leiden University. Leiden University is committed to becoming an inclusive community which enables all students and staff to feel valued and respected and to develop their full potential. Diversity in experiences and perspectives enriches our teaching and strengthens our research. High quality teaching and research is inclusive. Information Enquiries can be made to Sebastian Fajardo, [email protected] . If you have any questions about the procedure, please contact Anne-Marie Alleblas, email: [email protected]. Applications Please submit online your application via the blue button in the vacancy. Please ensure that you upload the following additional documents quoting the vacancy number: A short cover letter (1 page) detailing your motivation to apply for the position;A full academic CV including a list of publications. The CV must contain a link to the applicant’s Google Scholar page;The names and addresses of at least two persons that can be contacted for reference (who have agreed to be contacted); Only applications received before 30 April, 2024 can be considered.Address: Rapenburg 70

The Faculty of Science, Leiden Institute of Advanced Computer Science, is looking for a: PhD Candidate for Causal Inference (1.0fte)Project description Causal inference is one of the primary goals in empirical sciences, including medicine, biology, economy, and physical science. For instance, researchers may seek to estimate the effects of smoking on lung cancer, education on salaries, or specific genes on phenotypes. If we have only access to observational data, a part of causal relations among the variables can be recovered, and hence, the investigator is commonly left with some (or in some cases many) unresolved causal relations. On the other hand, if we can perform experiments in the system, the causal graph representing the underlying system can be fully recovered from sufficient number of interventions. However, in many practical cases, performing each intervention might take days to complete or be too costly. In this project, we aim to develop an end-to-end framework for the task of causal inference. This framework comprises three main components: causal discovery, identification analysis, and experiment design. The causal discovery part learns a causal model of the environment from the available data. This model is then used in the identification analysis to get an estimate of the causal effect. If the estimation is not accurate, a limited number of experiments are performed through the experiment design part to enhance knowledge about the underling causal system, thereby improving the accuracy of causal effect estimation. This project combines techniques from statistics, graphical model learning, and stochastic optimization, embracing an interdisciplinary approach. The candidate will be embedded in the Explanatory Data Analysis group at the Leiden Institute of Advanced Computer Science. More information about the group can be found at https://eda.liacs.nl/Key responsibilities Conduct original and novel research in the field of causal inference;Apply methods in real applications;Publish and present scientific articles in top ML venues;Contribute to educational activities;Write a dissertation;Assist in relevant teaching activities;Selection Criteria A MSc degree in Computer Science, Statistics, Data Science, Artificial Intelligence, or a related field;Strong knowledge of and experienced with statistics, machine learning, and stochastic optimization;Highly motivated to both perform foundational machine learning research and apply the developed methods in real application;Creative, ‘making things work’ mentality, independent, and communicative team player;Experienced with writing scientific manuscripts and academic writing skills;Excellent programming skills (Python and ML packages);Interested in participating in educational activities;Excellent proficiency in English (oral and written);Research at our faculty The Faculty of Science is a world-class faculty where staff and students work together in a dynamic international environment. Our people are driven by curiosity to expand fundamental knowledge and to look beyond the borders of their own discipline. The research carried out at the Faculty of Science is diverse, ranging from mathematics, artificial intelligence, computer science, astronomy, physics, chemistry and bio-pharmaceutical sciences to biology and environmental sciences. The faculty has grown strongly in recent years and now has more than 1,300 staff and almost 4,000 students. We are located at the heart of Leiden’s Bio Science Park, one of Europe’s biggest science parks, where university and business life come together. For more information, see https://www.universiteitleiden.nl/en/science and https://www.universiteitleiden.nl/en/working-at The Leiden Institute of Advanced Computer Science (LIACS) is the Artificial Intelligence and Computer Science Institute in the Faculty of Science of Leiden University. We offer courses at the Bachelor and Master of Science level in Artificial Intelligence, Computer Science, ICT in Business, Media Technology, and Bioinformatics. According to an independent research visitation, we are one of the foremost computer science departments of the Netherlands. We strive for excellence in a caring institute, where excellence, fun, and diversity go hand in hand. We offer a clear and inviting career path to young and talented scientists with the ambition to grow. For more information about LIACS, see https://www.cs.leiden.eduTerms and conditions We offer a full-time 1-year term position for initially one year. After a positive evaluation of the progress of the thesis, personal capabilities and compatibility the appointment will be extended by a further three years. Salary range from € 2.770, - to € 3.539, - gross per month (pay scale P in accordance with the Collective Labour Agreement for Dutch Universities). All our PhD students are embedded in the Leiden University Graduate School of Science https://www.universiteitleiden.nl/en/science/graduate-school-of-of-science. Our graduate school offers several PhD training courses at three levels: professional courses, skills training and personal effectiveness. In addition, advanced courses to deepen scientific knowledge are offered by the research school. Leiden University offers an attractive benefits package with additional holiday (8%) and end-of-year bonuses (8.3 %), training and career development and sabbatical leave. Our individual choices model gives you some freedom to assemble your own set of terms and conditions. Candidates from outside the Netherlands may be eligible for a substantial tax break. D&I Statement Diversity and inclusion are core values of Leiden University. Leiden University is committed to becoming an inclusive community which enables all students and staff to feel valued and respected and to develop their full potential. Diversity in experiences and perspectives enriches our teaching and strengthens our research. High quality teaching and research is inclusive. Information Enquiries can be made to Saber Salehkaleybar ([email protected]). For information about the procedure please contact Anne-Marie Alleblas, email[email protected]. Applications To apply for this vacancy, please submit online your application via the blue button in the vacancy. Please ensure that you attach the following additional documents: Curriculum vitae (CV);Motivation letter (1 page maximum);Grade list and MSc degree (or expected graduation date);(Draft of) MSc thesis;Three reference letters (at least one from your Master thesis supervisor);Link to public code repository (e.g., GitHub) or example of written code base; Only applications received before April 23, 2024 can be considered. Applicants may be contacted with requests for additional information and/or exploratory conversations before the closing date.Address: Rapenburg 70

The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a: Postdoc Automated Reasoning in Quantum Computing (0.8-1.0 FTE)Information The Faculty of Science, Leiden Institute of Advanced Computer Science (LIACS), is looking for candidates for a Postdoctoral Researcher (0.8-1.0 FTE) working at the crossroad between Quantum Computing and Automated Reasoning. Reasoning engines, like SAT solvers and model counters can be used as oracles in computationally demanding tasks such as quantum circuit compilation. Moreover, quantum algorithms have yet to be augmented with the powerful heuristics developed in classical reasoning. We are looking for individuals with an excellent academic record interested in the development of new quantum circuit compilation techniques and quantum algorithms based on classical automated reasoning. The project focuses on harnessing the strengths of classical heuristics in quantum computing. For instance, the classical conflict driven clause learning (CDCL) heuristic offers exponential advantages over other methods. Without such heuristics, the search for quantum supremacy in constraint solving will be impeded. The project therefore aims to quantize such classical heuristics. At the same time, it aims to leverage classical reasoning engines to development of novel solutions for quantum circuit optimization, quantum circuit synthesis and formal verification of quantum circuits. You will collaborate with Prof.Dr. Vedran Dunjko, chair of the aQa group, and Dr. Alfons Laarman, leading the System Verification Lab. Further, you are expected to work well in our culture of cross-group collaboration. No teaching duties are assigned to this position, but you are expected to help in assisting with the supervision of students. The level of the position will be commensurate with your level of experience. We offer:A four-year postdoc position, with an initial contract of one year;Freedom to implement your own research agenda, in connection with abovementioned topics;A large team of other Postdocs and PhDs, to collaborate with and co-supervise;An exciting research environment within the Quantum Delta NL hub Leiden;Selection criteria:Ph.D. degree in Computer Science, Mathematics, or a related field;Good publication record in Quantum Computing, Formal Methods or related field;Able to work independently, in a team, and in a student (co-)supervisory role;An academic, creative, and open mindset;Good to excellent proficiency in English is required;Research at our Faculty/Institute The Leiden Faculty of Science is a world-class faculty where staff and students work together in a dynamic international environment. Our people are driven by curiosity to expand fundamental knowledge and to look beyond the borders of their own discipline. The research carried out at the Faculty of Science is diverse, ranging from artificial intelligence, computer science, mathematics, astronomy, physics, chemistry, and bio-pharmaceutical sciences to biology and environmental sciences. The faculty has grown strongly in recent years and now has more than 1,300 staff and almost 4,000 students. We are located at the heart of one of Europe’s biggest science parks, where university and business life come together. The Leiden Institute of Advanced Computer Science (LIACS) is the Artificial Intelligence and Computer Science Institute of the Faculty of Science of Leiden University. We offer courses at the Bachelor and Master of Science level in the core areas of Artificial Intelligence, Computer Science, and Data Science, and in the interdisciplinary areas of ICT in Business, Media Technology and Creative Science, and Bioinformatics. We are a highly international place to do research, and we strive for excellence in a caring institute, where excellence, fun, and inclusiveness go hand in hand. We offer a clear and inviting career path to young and talented scientists with the ambition to grow. Terms and conditions We offer a full-time position for initially one year. After a positive evaluation of the progress of the research and personal compatibility, the appointment can be extended further for one. The salary ranges, depending on qualifications and experience, from € 3.226,- to € 5.090,- gross per month (pay scale 10 in accordance with the Collective Labour Agreement for Dutch Universities). Leiden University offers an attractive benefits package with additional holiday (8%) and end-of-year bonuses (8.3%), training, and career development. Our individual choices model gives you some freedom to assemble your own set of terms and conditions. Diversity and inclusivity Fostering an inclusive community is a central element of the values and vision of Leiden University. Leiden University is committed to becoming an inclusive community that enables all students and staff to feel valued and respected and to develop their full potential. Diversity in experiences and perspectives enriches our teaching and strengthens our research. High-quality teaching and research are inclusive. Information Inquiries can be made to Dr. Alfons Laarman: [email protected] If you have questions about the procedure please contact Anne-Marie Alleblas, [email protected]. Application Please submit online your application via the blue button in the vacancy. Please ensure that you upload the following additional documents quoting the vacancy number. A short cover letter (1 page) detailing your motivation to apply for the position,A brief description of your research plan,A full CV including a list of publications, eventual grant acquisition and community services, and a link to your Google Scholar page,Links to key publications and Ph.D. thesis when appropriate,The names and addresses of at least two persons that can be contacted for reference (who have agreed to be contacted). Only applications received before April 30, 2024 can be considered.Address: Rapenburg 70

FunctieomschrijvingVacature ICT Systeembeheerder in Leiden.Geen kleine klusjes, maar gelijk aan de slag met grootschalige projecten, zoals de transitie naar een hybride-cloud omgeving. In de rol van Allround ICT Systeembeheerder bij de Stokvis Group kom je aan uitdaging niet te kort. En je staat er niet alleen voor, samen met jouw collega's op de afdeling Systeembeheer richten jullie je op het oplossen van ingewikkelde vraagstukken en het waarborgen van de kwaliteit van de IT-infrastructuur.Wat ga je doen als ICT Systeembeheerder Cytrix (omgeving Leiden, 40 uur)?Uitvoeren van onderhoud en installatie aan ICT apparatuur, inclusief servers, switches en firewalls.Actief beheer en continue bewaking van de ICT omgeving, inclusief preventie van storingen.Documentatie en incidentbeheer, waaronder het bijwerken van het ICT handboek en het oplossen van complexe incidenten.Leiden van projecten voor technologische verbetering, zoals productonderzoek en het opzetten van testomgevingen.Ontwikkeling en implementatie van automatiseringstools, waaronder software, scripts en geautomatiseerde taken.Momenteel werken de meeste gebruikers van de Stokvis Group binnen een Citrix/VDI omgeving, en een kleine groep zwaardere gebruikers werkt stand-alone. De on-premise server omgeving wordt aangevuld met Microsoft cloud voor Office365 en Dynamics365 en draait op een mix van Linux en Windows, aangevuld met standaard producten als VM-ware, Xenserver, Veeam en Asterisk. De komende periode zal de huidige omgeving worden omgezet naar een hybride-cloud omgeving.Functie eisenAfgeronde opleiding MBO-4 ICT systeembeheerder (system administrator).Aantoonbare kennis en werkervaring met Microsoft365 cloud platform, Windows server, Windows10/11, Active Directory, VMware/vSphere, Cisco netwerkproducten en Veeam.Kennis van Manage Engine producten en application packaging is een pre.BedrijfsomschrijvingDe Stokvis Group telt ruim 400 systeemgebruikers verspreid over 14 locaties, en de ICT afdeling bestaat uit 4 medewerkers. Door de groei van het bedrijf en een groot aantal geplande projecten zijn we op zoek naar een ICT medewerker met allround systeembeheerkennis. Zo zal de komende periode de huidige Citrix (VDI) omgeving worden omgezet naar een hybride-cloud omgeving waarbij de clientapplicaties met een applicatiebeheersysteem onderhouden worden. Naast de eigen ICT collega’s wordt voor grote projecten samengewerkt met een aantal vaste ICT partners waar ook SLA overeenkomsten mee zijn.ArbeidsvoorwaardenEen afwisselende, uitdagende en zelfstandige functie als Allround ICT Systeembeheerder (medior / senior).Werken binnen een stabiele onderneming met korte beslissingslijnen en een prettige werksfeer.Een marktconform salaris.Prima arbeidsvoorwaarden.Pensioenregeling.Er worden cursussen en opleidingsmogelijkheden geboden.Een laptop van de zaak.Een telefoon van de zaak.Iedere dag een heerlijk verzorgde bedrijfslunch.Uitzicht op een vast contract.Parttime invulling ook bespreekbaar.We komen graag met je in contact!Heb jij een passie voor ICT en woon jij in de omgeving van Leiden? Dan is de functie ICT Systeembeheerder echt iets voor jou. Solliciteer op deze vacature, dan nemen wij z.s.m. contact met je op. Twijfel je of je wel helemaal aan het profiel voldoet? Geen zorgen, we maken alsnog graag kennis met je. Tot snel!OverigICT Systeembeheerder Cytrix (omgeving Leiden, 40 uur)Leiden, Zuid-Holland NL40 uur per week, fulltimeContract type: Vast contractSalaris: Per maandFunctiegroep: Automatisering/InternetCarrière niveau: StarterWerkplek: Volledig op locatie