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.
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.
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
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Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow. Eindhoven and its metropolitan area are the major hub of the technology sector in the Netherlands, collectively known as the Brainport region. Many global leaders in technology like ASML or Philips are based in the fastest growing region in the Netherlands. The Department of Mathematics and Computer Science enjoys strong links with the local high-tech industry on all levels. For example, the majority of students in the Master's program Industrial and Applied Mathematics (which was awarded the 2022 UPS George D. Smith Prize) write their Master's thesis in cooperation with a company. Within the Netherlands a strong culture of collaboration between universities results in joint programs like MasterMath, where both students and staff can participate in Master courses at any Dutch university. Furthermore, the Dutch workshop center for stochastics EURANDOM is based in Eindhoven and offers easy access to frequent international workshops and conferences.
Fairness, equality and a good work-life balance are highly valued in the Dutch society and lived at TU Eindhoven. As the heart of the Brainport region, the city of Eindhoven combines all benefits of a metropolitan center with short distances and an excellent biking network. A dense public transport system allows for convenient travel within the region and to all major cities in the Netherlands. Eindhoven was repeatedly ranked among the best cities in the world in terms of quality of life and offers a wide spectrum of cultural and leisure activities.
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