Assistant Professor in Computational Statistics

Welcome to Maastricht University! Are you passionate about advancing statistical methodology and developing computational tools that allow implementing intensive statistical methods on computers and make data-driven insights reliable, interpretable, and impactful? Do you want to contribute to the next generation of statistical modeling for AI and data science applications that benefit society?

The Department of Advanced Computing Sciences (DACS) is looking for an Assistant Professor in Computational Statistics. To strengthen our research initiatives in computational statistics, we are looking for a scientist with expertise in areas like: causal inference and discovery, conformal prediction, and robust methods for high-dimensional data. Research on emerging topics, for instance: foundation models, reliable and explainable AI with statistical foundations, scalable and high-performance statistical computing – is particularly welcome.

As our new colleague, you will contribute to DACS research. Our research activities span the entire spectrum from curiosity-driven research to responsible societal applications, often taking on an interdisciplinary character. Contributions to areas such as multi-agent systems, (medical) signal and image processing, FAIR principles, game theory, intelligent search techniques and affective computing are internationally recognized. What makes our research so interesting is that DACS maintains an industry network with over 80 private collaborators ranging from local SMEs to large multinationals.

The department designs and develops data-driven solutions for a wide variety of business applications in sectors including transport and logistics, healthcare, and production and manufacturing. This way you can contribute to science and our society of tomorrow!

In addition to your research, you will contribute to our top-rated education. Our department offers two bachelor’s programs and two master programs. You will strongly contribute to the focus and strengthening of our programs.

We seek a colleague who is passionate about research and who enjoys teaching. You feel at home in a strongly international and diverse community like ours. Furthermore, we are looking to welcome someone who fosters collaboration at all levels.

• A PhD degree in Computational Statistics or a strongly related field;
• Preferably at least 2 years working experience in an academic environment post-PhD;
• A proven track record in research and teaching;
• Effective communication and organizational skills;
• Experience with funding acquisition at national and European level.

At Maastricht University, you’ll work in an international, open, and engaged environment. We offer:

• A 18-month contract with the prospect of a permanent contract based on mutual satisfaction.
• A gross monthly salary between €4.728,00 and €6.433,00 (based on full-time employment of 38 hours per week). 8% holiday allowance and an 8.3% year-end bonus.
• 29 vacation days (based on full-time), four additional days off (Carnival Monday and Tuesday, Good Friday, and Liberation Day), and the possibility to accrue up to 12 extra days through compensation hours.
• Flexible working hours, a home office allowance, and the option to work from home.
• Freedom and space to shape your work independently and develop your ideas.
• A close-knit community of colleagues to collaborate and grow with.
• A solid pension plan via ABP, company fitness schemes, and access to various university sports facilities.
• An inspiring work environment in the heart of Europe.

FSE is a young, rapidly growing faculty where science, technology, and society converge. We combine STEM and social sciences in innovative programmes such of data science for Decision Making, Systems Biology and Bioinformatics. Our research and education are interdisciplinary, practice-oriented, and socially relevant. We take pride in our open culture and strong team spirit.

The Department of Advanced Computing Sciences is Maastricht University’s largest and oldest department broadly covering the fields of artificial…