Delft Institute of Applied Mathematics is offering a Tenure Track position at the level of Assistant Professor for the research group Statistics. Tasks and responsibilities of the Assistant Professor include:
• conducting research in the area of (mathematical- and applied) statistics;
• co-supervising PhD students;
• teaching courses for students in bachelor and master programs at TU Delft; these courses include statistics- as well as basic mathematics courses like linear algebra and calculus;
• supervising bachelor- and master students in their graduation projects:
• participation in our Statistics Helpdesk, where researchers at TU Delft are supported in the statistical aspects of their research.
The Assistant Professor will play an important role in further developing the existing education program in the area of statistics. In addition, the candidate will be active in acquiring and managing externally funded projects. The teaching load is about 50% of the working time.
A Tenure Track, a process leading up to a permanent appointment with the prospect of becoming an Associate or Full Professor, offers young, talented academics a clear and attractive career path. During the Tenure Track, you will have the opportunity to develop into an internationally acknowledged and recognised academic. We offer a structured career and personal development programme designed to offer individual academics as much as support as possible. For more information about the Tenure Track and the personal development programme, please visit www.tudelft.nl/tenuretrack.
Research at Delft Institute of Applied Mathematics (DIAM) is conducted in six research groups: Analysis, Applied Probability, Mathematical Physics, Numerical Analysis, Optimisation, and Statistics. Our research on the construction and analysis of mathematical models related to science and engineering is both fundamental and applied in nature and is often inspired by technical and societal challenges. We have, for instance, tackled complex mathematical problems to develop a model for predicting the flow of ash pollution after a volcano eruption. To come up with innovative solutions we maintain intensive contact with other TU Delft departments, technological institutes and research departments.
Besides research, education is an important cornerstone of our department. We teach the Applied Mathematics BSc and MSc programmes, as well as mathematics courses within other programmes at TU Delft, and national programmes such as “MasterMath”. Together with KTH Royal Institute of Technology (Sweden) and the Technical University of Berlin (Germany) we have also initiated the international joint Master’s programme COSSE (Computer Simulations for Science and Engineering).
We value the great atmosphere at our institute and pride ourselves on our sense of community and the spirit of “getting things done together”, which we combine with mutual appreciation for individual success. To foster interaction and cooperation, we organize lunch seminars where colleagues from the various sections discuss their work, and we arrange an annual social activity where all staff members interact informally to get to know each other in a different setting. Our open and transparent way of communicating is reflected in the way we interact with one another and forms the basis for the way we work together to help each other achieve our goals as a team.
The candidate has a PhD in Mathematics or a related discipline (e.g. Econometrics) and is specialized in Statistics, preferably with post-doctoral experience.
The candidate shows promise and potential to be a leading researcher and an inspiring and dedicated teacher. He/she has a good track record in the research field of Statistics, visible from refereed publications in high-quality journals. He/she has also shown to be able to collaborate with researchers in application areas, e.g. related to the engineering disciplines of the TU Delft.
The university sets specific requirements for the English competence of its faculty, and offers training to improve the level if that should be necessary. In addition, applicants should be willing to learn Dutch.
For more information about this position please go to: https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details/?jobId=597