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The program “Citius, Altius, Sanius” aims to stimulate people of all performance levels to engage in physical activity through sports and fitness to improve their health and performance by providing informative and motivating information using advanced sensor and data science techniques. The program comprises six applied projects and three fundamental projects. For one of the fundamental projects, entitled “Data science for injury prevention and performance improvement” we are looking for a PhD candidate.
“Data science for injury prevention and performance improvement” concentrates on providing a data-based tailored advice for health and performance. The PhD position is based within the Statistics Group of the Delft Institute of Applied Mathematics. In the research, a personalized model will be developed allowing to give tailor made advice to individual athletes. The research comprises both methodological research in statistics as well as research in the domain of sports engineering and will make contributions to both fields.
The candidate possesses an MSc degree in mathematics (specialization statistics or probability theory) or a related discipline in which mathematics, statistics and/or machine learning forms a prominent part. Some experience with epidemiology, statistical modelling and handling / analysis of data sets is advantageous but not a necessary requirement.
We require very good communication skills and fluently spoken and written English. The position includes modest teaching duties. Candidates are expected to finish their project with a PhD thesis, and disseminate the results through publications in peer-reviewed journals, and presentations at international conferences.
TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
As a PhD candidate you will be enrolled in the TU Delft Graduate School. TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline-related and research skills. Please visit www.tudelft.nl/phd for more information.
The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) is known worldwide for its high academic quality and the social relevance of its research programmes. The faculty’s excellent facilities accentuate its international position in teaching and research. Within this interdisciplinary and international setting the faculty employs more than 1100 employees, including about 400 graduate students and about 2100 students. Together they work on a broad range of technical innovations in the fields of sustainable energy, telecommunications, microelectronics, embedded systems, computer and software engineering, interactive multimedia and applied mathematics.
Research at the Delft Institute of Applied Mathematics (DIAM) centres around the analysis of mathematical models arising in science and engineering. This research is both fundamental and applied in nature, and is often inspired by technical applications. The department plays an active role in translating research results into concrete, practical applications. It maintains intensive contacts with other TU Delft departments, the major technological institutes, and the research laboratories of major companies. Within its own subject field, the department provides teaching for the Applied Mathematics BSc and MSc programmes, and also contributes to the teaching of mathematics courses within other academic programmes at the TU Delft and within national programmes such as “MasterMath”.
The Delft Institute of Applied Mathematics consists of six research groups: Analysis, Mathematical Physics, Numerical Analysis, Applied Probability, Statistics, and Optimisation. More information about the Delft Institute of Applied Mathematics can be found at www.ewi.tudelft.nl/en/the-faculty/departments/applied-mathematics/.