Assistant Professor in Data Science for the Sciences (0.8-1.0 FTE)

Job Description

Assistant Professor in Data Science for the Sciences (0.8-1.0 FTE)

Vacancy number: 16999

Job type: Academic staff

Parttime in hours minus: 38

Parttime in hours max: 38

Location: Leiden

EN Applying is possible up to and including: 6 December 2026

Apply now

The Faculty of Science at Leiden University, through the Leiden Institute of Advanced Computer Science (LIACS), invites applications for a position in _Data Science for the Sciences_ at Assistant Professor (UD) level.

LIACS seeks an Assistant Professor in data science to develop innovative methods, algorithms and applications that create impact beyond computer science through interdisciplinary research initiatives. The successful candidate will establish a strong research line by collaborating with researchers in other scientific fields (e.g., mathematics, chemistry, astronomy, physiology, or the social sciences) and with societal stakeholders including industry, government, healthcare, or non-profit organizations to address real-world challenges. We seek a computer or data scientist with a keen interest in one or more other scientific fields, preferably already with a (budding) track record in such fields. Candidates with an interest in more than one adjoining discipline are preferred. The candidate is explicitly requested to describe in the motivation letter the concrete area(s) of impact they wish to achieve with their data science research, and the specific branches of computer/data science they believe will address the interdisciplinary challenges.

The successful candidate will contribute to educational programs at bachelor and master level, and supervise bachelor, master, and PhD students at the intersection of computational methods and other sciences.

In addition, the candidate is expected to secure external research funding to build a research group offering a collaborative and supportive environment that values interdisciplinary research and impact on the adjoining sciences.

**What You Will Do

**

• Conduct independent research in computer science, with an emphasis on AI and data science applications that advance the state of the art in computer science and adjoining fields;
• Teach at Bachelor/Master level one course annually at LIACS and one course at another Leiden University institute, related to the candidate’s research expertise;
• Contribute to other relevant courses and educational activities across both institutes;
• Supervise BSc and MSc thesis students from computer science and other fields;
• Co-supervise PhD students in adjoining fields;
• Secure external funding for research projects, including EU framework programs (e.g., Horizon Europe) and the Dutch national research council NWO;
• Participate in institutional committees and contribute to academic activities within LIACS, the Science Faculty, Leiden University, and the broader international research community.

Where you will work

The Leiden Faculty of Science is a world-class faculty where staff and students work together in a dynamic international environment. We are located in the heart of the Leiden Bio Science Park, one of Europe’s largest science parks, where academy and industry come together. The Faculty of Science includes institutes on computer science, mathematics, astronomy, chemistry, environmental studies, biology, physics and drug research.

The faculty is home to more than 2,700 staff members and over 6,000 students enrolled in nine bachelor's and fifteen master's programs. We are located at the heart of the Bio Science Park, one of Europe’s largest science parks, where academia and industry come together.

The Leiden Institute of Advanced Computer Science (LIACS) is the computer science institute of the Faculty of Science of Leiden University. Research at LIACS spans core areas of computer science, artificial intelligence, and data science, with strong emphasis on interdisciplinary applications. LIACS maintains a highly international and supportive research environment. Research groups work on fundamental questions in machine learning, optimization, computer vision, natural computing, and data science, while actively engaging with real-world challenges through collaborations with industry, government, and civil society.

This interdisciplinary position offers a unique opportunity to combine methodological innovation in AI and data science with applications in other scientific fields, working across established scientific boundaries. The position provides access to advanced computational facilities at LIACS, including high-performance computing resources.

**What You Bring

**

• A PhD degree in computer science, artificial intelligence, data science, or other scientific fields with a strong computational component;
• An academic, ambitious, creative, and open mindset, with demonstrated ability to work across disciplinary boundaries;
• A research agenda centered on questions that advance both data science or AI and one or more other scientific fields;
• Some experience in supervising PhD students;
• Experience in obtaining external research funding, including international grants (e.g., EU Horizon Europe, MSCA Networks, ERC) and evidence of strategic thinking about securing interdisciplinary funding in the future;
• Teaching experience, including supervision of student projects;
• International recognition in the field (e.g. through collaborations, invited talks, and other forms of peer recognition);
• Excellent proficiency in English. Fluency in Dutch or willingness to learn it is an advantage.

**What We Offer

**

• An employment contract for the duration of initially one year. After a positive evaluation of the progress of the research and personal compatibility, the appointment can be extended further to a permanent one.This contract falls under the CLA of Dutch Universities;
• A salary between € 5.932,= and € 7.573,= gross per month, based on a full-time appointment (38 hours, Payscale 12) ;
• 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 a...

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