Post-Doctoral Position in Machine Learning/Anomaly Detection (UMONS, Belgium)

[Souhaib Ben Taieb]

Post-Doctoral Position in Machine Learning/Anomaly detection (UMONS, Belgium)

University of Mons, Department of Computer Science

Applications are invited for a one-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 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).

Eligibility details and applications

Qualified candidates should hold a PhD in computer science, computational statistics, or related domains, focusing on machine learning or data science. Knowledge of machine learning/computational statistics and former experience in data analysis with popular ML Python libraries (e.g., Scikit-learn, Pytorch, TensorFlow) is 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 prior 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 for the candidate
• Full contact details of the candidate

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Souhaib Ben Taieb, PhD

University of Mons, Belgium

www.ben-taieb.com