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PhD: Algebraic Methods in Combinatorics & Optimisation
Department/faculty: Faculty Electrical Engineering, Mathematics and Computer Science
Level: University Graduate
Working hours: 38.0 hours weekly
Contract: 4 years
Salary: 2222 - 2840 euros monthly (full-time basis)
Faculty Electrical Engineering, Mathematics and Computer Science
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”.
Job description
We are offering a 4-year PhD position in Mathematics for the NWO project "New Polynomial Methods and Applications in Combinatorics''. The daily supervisor will be Dr. D. Gijswijt.
This project is situated at the intersection of extremal combinatorics and combinatorial optimisation. It focuses on algebraic methods, such as the polynomial method and the slice-rank method, and their application to problems (such as the cap-set problem) in combinatorics and information theory.
The starting date is (no later than) 1 September 2018.
Requirements
You are a highly motivated student who recently obtained (or is about to obtain) a Master's degree in Mathematics or a related field, and you are interested in working on fundamental research in combinatorics. An affinity for algebra is considered an advantage.
Conditions of employment
The 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. The 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 graduateschool.tudelft.nl/ for more information.
For more information about this position, please contact Dr. Dion Gijswijt, phone: +31 (0)15-2787292, e-mail: D.C.Gijswijt@tudelft.nl. In your application include the following: a motivation letter, a CV, a (draft version) of your master thesis, and a list of grades for the courses you took. Also include the contact information for at least one reference (preferably your MSc supervisor). Please e-mail your application by 31 March 2018 to P.T.M. van den Bergh, Hr-eemcs@tudelft.nl. Later applications will be considered until the position is filled.
When applying for this position, please refer to vacancy number EWI2018-09.
Information and application
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