Doctoral Candidate (PHD-student) in Computational Engineering and Sciences (F/M)

Faculty of Science, Technology and Communication
June 27 2017
Position Type
Full Time
Organization Type

The University of Luxembourg (UL) is a multilingual, international, research oriented young university.

The MobiLab Transport Research Group within the Faculty of Science, Technology and Communication is looking for a

Doctoral Candidate (PHD-student) in Computational Engineering and Sciences (F/M)

  • Ref: R-AGR-3231-00-B

  • 14 months fixed-term contract, renewable up to 3 years, full-time (40h/week)

  • Student and employee status

  • Beginning earliest January, 2018


The PhD-student will work under the guidance of an associate professor on a doctoral research project and will also contribute to education to a certain extent. She/he should finish the work with a doctoral degree in engineering science.

Research project:

Controllability of Transportation Networks

This doctoral research project explores the interaction between the location and configuration of controllers in a transportation network and the best level of performance reachable by advanced Dynamic Traffic Management solutions (e.g. intelligent traffic lights, dynamic road pricing, …). In this project, the candidate will investigate this aspect by developing a framework encompassing transportation, control theory and optimization.

The PhD topic is strongly related with a previous stream of research carried out by the Principal Investigator, which dealt extensively with the concept of observability in transportation networks. The work performed in this project will no doubt take advantage of the algorithms and solutions already contributed to the state of the art in this parallel research branch, and a fundamental integration between the two topics is certainly expected.

For further questions, please don't hesitate to contact Prof. Francesco Viti (


Your profile:

  • Master's degree in Engineering, Computer Science or Applied Mathematics (possibly majoring in Computational Science or Automation & Control);

  • Advanced knowledge in Operations Research modelling and algorithms;

  • Knowledge on transport network design problems is an asset;

  • Full working proficiency in the English language. A certified level B2 is the minimum required, while level C1 is a plus;

  • Knowledge of meta-programming languages such as Python and MatLab is an asset.

  • Experience with optimization software packages such as CPLEX or Gurobi is an asset.



We offer:

  • Excellent research conditions in an international dynamic research-oriented environment; Most of students and staff is international and the main language used at UL is English;

  • Necessary hardware, technology and software for pursuing the research;

  • A motivated and interdisciplinary research team currently having 5 PhD students and 1 Post-doc;

  • Very friendly and dynamic environment, where freedom of research and independent thinking will be acquired as skills;

  • Links with other research projects on various subjects (demand estimation, Big data in multimodal network modeling, collaborative mobility optimization, advanced traffic and mobility data collection, etc.).


Applications, written in English should be submitted online by September 30th 2017 and should include:

  • Curriculum Vitae (including your contact address, work experience, publications);

  • Cover letter indicating the research area of interest and your motivation;

  • Copy of the MSc diploma;

  • Transcript of all courses and results from the highest university-level courses taken;


The University offers highly competitive salaries and is an equal opportunity employer.

Link :

This job comes from a partnership with Science Magazine and Euraxess