Post-Doctoral Position in Machine Learning (UMONS, Belgium)
Souhaib Ben Taieb
Post-Doctoral Position in Machine Learning (UMONS, Belgium)
University of Mons - Department of Computer Science
Applications are invited for a two-year postdoctoral position in machine learning (with a possible extension of one year). The successful candidate will be involved in a research project in collaboration with various academic and industry partners. She/he will be part of a machine learning research team and will contribute to the participatory research process, collaborating directly with the industry partners. The main objective of the project is to develop (federated) anomaly detection algorithms for predictive maintenance based on sequential data. The candidate will be supervised by Souhaib Ben Taieb (PhD, Associate Professor). Belgium is centrally located in Europe, and the lab is well-connected to other research teams worldwide. A research position in our group is an ideal stepping stone for an independent research career in academia or industry.
Eligibility details and applications
Qualified candidates should hold a PhD degree in computer science, computational statistics, or related domains, with a focus on machine learning or data science. Good knowledge of machine learning/computational statistics and former experience in data analysis with popular ML Python libraries (e.g. Scikit-learn, Pytorch, TensorFlow) are highly recommended. Candidates should be proficient in English and have good oral and written communication skills.
Official applications should be submitted at your earliest convenience by e-mail at souhaib....@umons.ac.be, with the subject line “ML Post-Doc UMONS”, and should contain at least:
- a CV, including previous experience relevant to the project
- a list of previous publications
- a digital copy of the PhD thesis
- contact information for at least two potential academic referees
- a motivation letter
- the earliest available starting date of the candidate
- full contact details of the candidate