PhD on Decision-Making using Structural (Mixed) Integer Programs Eindhoven University of Technology in Netherlands

This PhD position at Eindhoven University of Technology offers an exciting opportunity to advance the theory and application of structural (mixed) integer programs, focusing on decision-making processes. The project centers on integer programs with well-structured constraint matrices, enabling the development of efficient algorithms that can be exploited for improved operational efficiency and cost reduction. The research aims to extend the theoretical foundations of structural optimization, design new algorithms, and apply these methods to domains such as collective decision-making, voting, and fair resource allocation.

As a PhD candidate, you will join the Combinatorial Optimization group within the Department of Mathematics and Computer Science, working under the supervision of Dr. Alexandra Lassota and Professor Frits Spieksma. Your main responsibilities include conducting scientific research, publishing and presenting results at international venues, and supporting educational activities such as course assistance and student supervision for a small portion of your time.

The position requires a bachelor and master degree in Mathematics, Computer Science, or Econometrics, with a strong background in combinatorics and complexity theory. Candidates should be creative, ambitious, self-motivated, proactive, and possess good communication skills. Proficiency in English is essential, while knowledge of Dutch is not required. Occasional travel may be part of the role.

Employment is full-time for four years, with an intermediate assessment after nine months. The salary is in accordance with the Collective Labour Agreement for Dutch Universities, scale P (€3,059–€3,881 per month), plus a year-end bonus of 8.3% and annual vacation pay of 8%. Additional benefits include a pension scheme, paid pregnancy and maternity leave, partially paid parental leave, high-quality training programs, technical infrastructure, on-campus childcare and sports facilities, commuting and home working allowances, and a tax compensation scheme (30% facility) for international candidates. The university provides a supportive environment for personal and professional growth, with a focus on autonomy and self-directed learning.

Applications are accepted online only. Interested candidates should submit a cover letter detailing motivation, research experience, interests, and qualifications, a CV including publications and two academic references, and B.Sc. and M.Sc. transcripts. Reference letters are not required at this stage. The vacancy will remain open until filled, with a final application deadline of December 21, 2025. Please note that a pre-employment screening, such as a knowledge security check, may be part of the selection procedure.

For further information about the project or working conditions, contact Dr. Alexandra Lassota ([email protected]) or Professor Frits Spieksma ([email protected]). For details on the application process and employment conditions, visit the university's website or career page. Apply via the provided online application link.