Allround Endpoint engineer

De VU zit in een digitale transformatie; er wordt hard gewerkt aan de Modern Workplace. Werken en studeren doe je thuis, op de campus of onderweg. Daarbij moet je op een betrouwbare en veilige wijze kunnen werken en informatie delen, of dat nu voor studie of voor onderzoek is, nationaal of internationaal.

De Windows Endpoint Engineer speelt een sleutelrol in het beheren, optimaliseren en ondersteunen van de modern gemanagede werkplekken (via Microsoft Intune en Entra ID). Kennis van traditionele werkplekbeheer is mooi meegenomen. (SCCM, GPO’s, AD) Daarnaast is kennis van Azure Virtual Desktop (AVD) gewenst, gezien de hybride aard van onze infrastructuur.

Jouw taken

• Je draagt actief bij aan de verdere transitie naar een moderne werkplek (Microsoft Entra ID (AAD), Intune
• Actief bijdragen in het doorontwikkelen van een efficiëntere werkplek omgeving
• Verzorgen van (functionele) gebruikers acceptatie tests en het documenteren hiervan
• Je ondersteunt collega’s en eindgebruikers
• Troubleshooten en afhandelen van de incidentmeldingen (2de en 3de lijns)

PhD Candidate on Formal Methods for Safe AI

Computer-aided verification of AI systems connects the fields of formal methods, machine learning and software engineering. It combines classical symbolic verification methods such as model checking and Boolean satisfiability solving as well as novel machine learning methods for safe and trustworthy AI. In this PhD project, you will contribute to open problems in the area through both theoretical and empirical research. Potential research topics include but are not limited to, developing methods to guarantee that cyber-physical systems with deep learning components are safe and ensuring that software and hardware components are correct. This PhD project is at the intersection of verification and machine learning and covers both the analysis of software and cyber-physical systems and the analysis of learning-enabled systems.

What you will do
The PhD student will be embedded in the Theory cluster at the Leiden Institute of Advanced Computer Science, supervised by Dr. Emily Yu and Prof. Marcello Bonsangue at the Veritas lab. The successful candidate will conduct original and novel research developing verification, synthesis, and machine learning methods that ensure that digital, physical, probabilistic systems interacting with deep learning and neural network are formally guaranteed to be safe, publish and present scientific articles in top formal methods, AI/ML venues, contribute to educational activities as a (head) teaching assistant and finally write a PhD thesis detailing the outcome of the research activities.

Where you will work
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.

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, Creative Interactions, 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.edu.

What you bring

• A Master’s (or equivalent) degree in Computer Science, Mathematics, Logic, or a highly related field;
• Analytical skills (e.g., strong background in Mathematics, Logic, and Algorithms)
• Strong programming skills (willingness to learn verification toolchains and develop software prototypes);
• Proficiency in English, both spoken and written (Dutch is not required, but LIACS does subsidize optional

Dutch language courses);

What we offer

• A full-time position for the duration of 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.
  This contract falls under the CLA of Dutch Universities;
• A salary between € 3.059,- and € 3.881,- gross per month, based on a full-time appointment (38 hours) (Payscale P);
• A holiday allowance (8%), an end-of-year bonus (8,3%), and an attractive pension scheme at ABP;
• Full reimbursement of public transport commuting costs for home-to-work travel;
• Flexible working hours: as a standard, you are entitled to a minimum of 29 leave days on the basis of a full-time working week of 38 hours; you can also save for extra leave, for example by working 40 hours a week, and in this way accrue an extra 96 leave hours, or exchange 96 leave hours for a 36-hour week.
• Lots of options when it comes to secondary employment conditions; we can, for example, discuss options for a sabbatical or paid parental leave. Within our terms of employment individual choices model, you can exchange leave days and/or salary for benefits such as an advantageous sports subscription and bicycle scheme;
• If your work allows it, hybrid working is possible within the Netherlands;
• A home-working allowance (day and internet allowance) and attention for good workplaces. The University will also provide you with a laptop.

Our goal is to work together to create a transparent and inclusive work environment in which everyone feels welcome and appreciated. Our organisation is always evolving and we need your ideas for improvement and innovation to take us further. We want to devote attention to your personal development.

What we find important
Promoting an inclusive community is central to Leiden University’s values and vision. Leiden University aims to be an inclusive community in which all students and staff members feel valued and respected, and are able to develop to their full potential. Diversity in experiences and perspectives enriches our teaching and strengthens our research. High-quality education and research means inclusive education and research.

Want to apply or find out more?
If you want to apply straight away, click on the application button in the vacancy.

If you would like more information about what the job entails, please contact Dr. Emily Yu, email: z.yu@liacs.leidenuniv.nl. If you have any questions about the application procedure, please sent an email to: jobs@liacs.leidenuniv.nl.

Only applications received before Jan 21, 2026, 23:59 CET can be considered. Early applications are welcome, since this will help speed up the recruitment process, but all applications submitted before the deadline will be given equal consideration. Your application will be treated confidentially and will be assessed by researchers from the Theory Cluster at LIACS, Leiden University.

Postdoctoral Researcher Implementation Science / Global Health

Are you passionate about global health? Are you interested in the complexity of global health challenges and how to address them from a implementation science and health systems perspective? As successful candidate for this position as postdoctoral researcher in implementation science/global health you will contribute to national, European and global implementation science projects on cardiovascular health and multiple chronic non-communicable conditions in close collaboration with local and international colleagues and partner institutions.

As the ideal candidate for this position, you have a PhD in medicine, health sciences, epidemiology, public health, social or life-sciences. You have an excellent track record in non-communicable diseases in particular cardiovascular diseases, implementation sciences, complex evaluations and participatory research, as well as extensive experience working in or collaborating with institutions and partners in low- and middle-income countries. You thrive in an international, multidisciplinary environment and are an excellent collaborator. You can work well independently, communicate effectively, have excellent didactic, written and verbal English skills. Within this position we expect you to develop, conduct and contribute to implementation science research projects, publications and grant proposals as well as to departmental research and education activities in global health.

You are highly motivated, aim for a long-term career aspiration and would like to further develop your expertise in the field of implementation science in global health.

This 80-100% position will be a temporary appointment for 18 months in the first place, with opportunities for extension. The maximum salary for this position will be €5669 month on a fulltime basis depending on education and qualifications. Starting date is ideally from 1 February 2026.

Community Manager Suriname Tijdmachine (Huygens)

Als Community Manager werk je nauw samen met onderzoekers van het Huygens Instituut. Je taken omvatten onder meer het opbouwen van duurzame banden tussen de onderzoekers en relevante gemeenschappen, het versterken van de samenwerking en betrokkenheid van deze gemeenschappen bij het onderzoek. Je werkt mee in het ontwikkelen van en reflecteren op manieren van samenwerking tussen wetenschap en publiek. In samenwerking met het team draag je bij aan het opzetten van het onderzoek, onder andere door het kiezen van geschikte thema’s. Je participeert vervolgens in de uitvoering en organisatie en helpt mee met het analyseren van resultaten en met het verwerken tot aanbevelingen en concrete verbeteringen aan de Tijdmachine. Tenslotte ondersteun je bij de communicatie van het onderzoek, bijvoorbeeld door het geven van presentaties of het (mee)schrijven van publicaties.

PhD and EngD position for ESG-Based Decision-Making for Customer Portfolio Management

We are seeking a highly motivated and creative PhD and EngD candidate to join our research team. While this advertisement primarily targets a PhD position (a 4-year project), we also anticipate expanding the team with EngD positions (2-year projects) in the near future. Please clearly indicate your preferred position in your cover letter. The successful candidates will focus on developing and applying data science tools that integrate both customer-related data and Environmental, Social, and Governance (ESG) information within portfolio management settings. The ultimate goal of the PhD candidate is to explore how insurance companies can adapt their practices or propose innovative solutions to embed ESG-based decision-making into customer portfolio management. This, in turn, will contribute to fair and sustainable economic growth. During the project, you will work within a multidisciplinary team and will collaborate closely with the insurance company Achmea. The successful applicant will join the Industrial Engineering and Business Information Systems (IEBIS) section of the High-tech Business & Entrepreneurship Department (HBE) at the Faculty of Behavioral, Management and Social Sciences (BMS).

Insurance companies play a key role in financial markets, not by generating direct monetary value, but by underwriting and managing risk. Through the design and management of insurance portfolios, they help shape value creation and carry a growing responsibility to consider Environmental, Social, and Governance (ESG) factors. As regulatory, societal, and market pressures mount, insurers face a clear need to integrate ESG considerations into their decision-making processes, not just in risk selection, but also in pricing, underwriting, and portfolio optimization.

Despite the growing relevance of ESG in insurance, there is no widely adopted, data-driven framework that integrates ESG metrics into customer portfolio decision-making. Current practices are typically qualitative and ad hoc, which limits comparability and transparency across clients, especially in commercial insurance contexts. This PhD project aims to develop a structured and scalable decision framework that leverages AI to incorporate measurable ESG indicators alongside traditional financial risk factors. The envisioned framework will be dynamic, allowing ESG factors to be weighted and adjusted in response to evolving business priorities or regulatory demands, and will offer explainability to support both operational use and strategic planning.

On the customer side, the research will focus on how ESG indicators can be meaningfully embedded into portfolio assessments and risk models. For instance, should a construction firm that actively reduces its environmental impact be treated more favorably than one with a higher emissions profile, even if both present similar financial risk? Addressing such multi-criteria decision-making scenarios is key for ensuring that insurance offerings not only reflect financial performance but also incentivize sustainable practices among commercial clients.

At the same time, ESG decision-making also applies internally within insurance companies. For example, migrating to cloud-based infrastructure for storing insurance policies can enhance operational efficiency, yet it also increases energy consumption in data centers, elevating the company's carbon footprint through electricity usage and data redundancy. By developing a structured, quantitative, and scalable ESG framework, this project will support insurance companies in evaluating both external and internal ESG trade-offs, enabling a shift from intuition-based decisions to transparent, evidence-based sustainability strategies.

The desired start date for this position is 1 February 2026.