Theoretical and computational personnel scheduling

Posted by: Greet VANDEN BERGHE
Contact:[email protected]

In today’s organizations employees expect robust and fair rosters and want a level of autonomy in determining their schedules. Research on models and algorithms for personnel scheduling has not caught up with these emerging challenges. At present, there is no satisfactory way of (mathematically) formulating and quantifying these human-centred problem characteristics, which consequently, also represents uncharted territory for algorithm development. This project aspires to (1) extend personnel rostering theory towards a more human-centred paradigm and (2) develop dedicated algorithms for the identified problem classes.



We are looking for two highly motivated PhD students. 

***Would you please clearly indicate and motivate in your application 
which profile you are applying for.***

Profile 1: Master's degree relevant to theoretical computer science, computational complexity, combinatorial optimisation, discrete mathematics. The candidate should have experience in using a modern programming language to implement algorithms.

Profile 2: Master's degree relevant to computational computer science, algorithms and datastructures, combinatorial optimization. The candidate should have provable experience in the implementation of efficient algorithms in a modern programming language.

For both profiles we expect candidates to: 

  • work precisely and are able to report accurately,
  • have very good communication skills,
  • have a good command of English, both written and spoken.
  • A fully-funded four-year PhD grant at KU Leuven, a university which is ranked consistently among the top universities in Europe.
  • A great work environment surrounded by skilled people with expert knowledge on combinatorial optimisation.
  • Networking opportunities through participation in conferences, workshops and collaborations with local and international research groups.
  • The opportunity to develop teaching and management skills.
  • Opportunities for collaborating with industrial partners.


For more information please contact Prof. dr. ir. Greet Vanden Berghe, tel.: +32 9 265 87 03, mail: [email protected] or Dr. Pieter Smet, mail: [email protected]