3-year PhD Position in Machine Learning (Federated Learning)

OPPORTUNITY DETAILS

Total reward

0 $

State University

University of Mons

Area

Western Europe

Host Country

Belgium

Deadline

12 Aug 2021

Study level

Doctoral Degree

Opportunity type

PhD

Specialities

Information technology and computer science , Mathematics

Opportunity funding

Not funding

Eligible Countries

This opportunity is destined for all countries

Eligible Region

All Regions

University of Mons - Department of Computer Science - Belgium

Open PhD Position

We seek applications for a three-year PhD student position in machine learning with a focus on federated learning, time series modelling, and predictive maintenance. The PhD candidate will be involved in a three-year 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 objectives of the project is to develop new federated learning models and algorithms for predictive maintenance based on time series data. Training machine learning models in a federated manner can involve various statistical and system challenges, including data heterogeneity, privacy constraints, model robustness and security, communication efficiency, system heterogeneity, and dynamic environments. The PhD candidate will be supervised by Souhaib Ben Taieb (PhD, Associate Professor), working at the Department of Computer Science of the University of Mons. 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 Master's degree or equivalent in computer science, statistics or related domains, with a background in machine learning. A good knowledge of statistics/machine learning 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.

Interested applicants should contact the principal investigator by e-mail at souhaib.bentaieb@umons.ac.be. Official applications should be submitted at your earliest convenience and should contain at least: