Postdoc in Mathematical Statistics
Offer DescriptionThe mathematical statistics group of the Department of Mathematics and Computer Science is searching for an excellent candidate for a two-year Postdoctoral position. The , which is part of the 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.Where to apply WebsiteRequirementsSpecific RequirementsAs 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.Additional InformationBenefitsA 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:
that helps you to build a stronger and broader academic and personal network, and offers tailored support, training and workshops. * A
is available for international candidates, as are a tax compensation scheme (the 30% facility) and a compensation for moving expenses.Additional commentsMore informationEindhoven 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 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 ) 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 is based in Eindhoven and offers easy access to frequent international workshops and conferences.
We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled. Website for additional job detailsWork Location(s)Number of offers available 1 Company/Institute Eindhoven University of Technology (TU/e) Country Netherlands City Eindhoven Postal Code 5612 AP Street De Rondom 70 GeofieldContact CityEindhoven WebsiteStreetDe Rondom 70 Postal Code5612 APSTATUS: EXPIREDShare this page
€4020 – 5278 per month
Eindhoven, Noord-Brabant
Sat, 02 Nov 2024 05:51:30 GMT
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