Description: The mathematical statistics group of the Department of Mathematics and Computer Science is searching for an excellent candidate for a two-year Postdoctoral position. The Mathematical Statistics group, which is part of the Statistics, Probability and Operations Research (SPOR) cluster, focusses on developing novel statistical models and methodology endowed with theoretical guarantees, for the data-driven analysis of complex and high-dimensional systems. Our research topics range from heavily data-driven to fundamental and methodological aspects, including causal learning, dependence structure models, inference in complex networks, high-dimensional and non-parametric statistics and sequential decision making and data collection. The group also collaborates closely with the Teaching & Research Institute for Data Science Analytics (TRI-DSA).

As the successful candidate, you are expected to pursue independent research within your own agenda, provided these strengthen and complement the expertise in the group. As the position is not attached to a specific project there is considerable freedom to independently pursue your own research agenda, as long as it has a good embedding with the research activities of the group. The position comes with light educational duties for about 25% of your working time (this percentage includes preparation time as well). Your educational tasks might include tutorial sessions and office hours, grading exams and homework, student supervision, and lecturing.

Job requirements: As an ideal candidate you should hold a PhD degree in mathematics or mathematical statistics, clearly demonstrating your ability to conduct independent research on topics in mathematical statistics and/or learning theory. A different PhD background might be considered, provided you can showcase your ability to conduct high quality academic research, reflected in demonstrable outputs in mathematical statistics and/or learning theory venues. Strong interest in teaching and education is also a requirement for this position. Prior teaching experience is desirable, but not specifically required. As an ideal candidate, you must have good organization and communication skills, be highly self-motivated and independent, and be able to work in a team. Proficiency (written and verbal) in English is also required.