Postdoc in machine learning and big data analytics with application to traffic modelling, simulation and forecasting

at Université Libre de Bruxelles
Published October 31, 2022
Location Brussels, Belgium
Category Machine Learning  
Job Type Scholarship  



Applications are invited for 2 full-time post-doctoral (3 years) research positions at the Machine Learning Group, Computer Science Department, Université Libre de Bruxelles, Belgium (

The 2 postdocs will be involved in a joint research project (2 academic partners and one Brussels-based company) which aims at developing a framework and a methodology for the monitoring of heterogeneous traffic data. The emphasis will be on developing data-driven models for traffic data imputation, interpolation and forecasting as well as providing intuitive tools and visualisations for the study of the traffic situation as well as its evolution at the level of a metropolitan area, with Brussels as the central use case. The goal is to provide public authorities and infrastructure managers with the tools to better understand and quantify the impact of their policies on their citizen’s well-being.


Working from home (up to 50% of time) if wished.

Eligibility criteria

PhD degree in Computer Sciences, Engineering or related disciplines.

Selection process


Applicants are encouraged to apply as soon as possible as positions will remain open until filled by suitable candidates.


Candidates are invited to send their CV with a detailed list of publications, their PhD thesis and the name of at least 2 reference persons  in .pdf format by email to

The subject field of your email must include MLG-JOB: research position.

Equal Opportunity Employer

ULB is an equal opportunity employer and is committed to employing more handicapped individuals and especially encourages them to apply. ULB wishes to increase the proportion of women in areas in which they are underrepresented. Women are strongly encouraged to apply.

Additional comments

The Machine Learning Group, ULB is a research group that carries out theoretical research on statistical machine learning, predictive modeling and computational statistics, and takes part in several applied research projects in domains as diverse as big data mining, bioinformatics to biomedical engineering and fraud detection. MLG is involved in several research initiatives at international and national levels: it is a  member of the CLAIRE confederation, a member of the TRAIL Walloon initiative on AI and of FARI, the Brussels AI institute.

Located in heart of Brussels, the Université Libre de Bruxelles is renowned for quality research through its prestigious affiliate research centers and world-renowned faculty. Brussels, the capital of Belgium and the European Union, is a cosmopolitan city renowned for its picturesque squares and buildings, serene parks and gardens and a very vibrant cultural life spiced up by many international languages.

Required Research Experiences

    Computer science › Modelling tools
    4 - 10

Offer Requirements

    Computer science: PhD or equivalent
    Engineering: PhD or equivalent
    ENGLISH: Excellent


The researcher is expected to carry out fundamental research in Data Science/Machine Learning/Big Data Mining and to take a leading role in an applied research project on data science for traffic modelling and forecasting which is funding the position. Interaction with other running projects, and supervision of Master students and PhD researchers are expected too

The candidate should have a PhD degree in Engineering or Computer Sciences and demonstrate proficiency in programming (e.g. python, R, Spark), computational data science, analytics and machine learning. Past experience with applied machine learning or massive datasets analytics as well as scalable machine learning will be considered an asset. The applicant should have good organizational skills, a taste for interdisciplinary research, excellent scientific writing and presenting skills and be able to work independently.