PhD Position in Automatic Control Heterogeneity in federated learning: An open multi-agent systems approach

Qualification requirements • Applicants should hold, or be in the final year of, a master’s degree or an engineering degree in automatic control, machine learning, optimization, or applied mathematics. • Rigorous knowledge in optimization, networks, and multi-agent systems. • Excellent programming skills (Python, MATLAB, etc). • Proficiency in spoken and written English. French is not a requirement