Postdoctoral and Doctoral Researcher Positions in Machine Learning at Kaski Lab, ELLIS Institute Finland, and Manchester Centre for AI Fundamentals Aalto University in United Kingdom

Samuel Kaski is hiring several postdoctoral researchers and doctoral researchers in machine learning across Kaski Lab, the ELLIS Institute Finland, and the Manchester Centre for AI Fundamentals. The positions are suitable for researchers interested in foundational and applied AI, with room to propose your own direction within the advertised themes.

Research areas include multimodal foundation models, out-of-distribution generalization, collaborative AI, and broader topics in fundamental and applied machine learning. The lab also highlights related interests in probabilistic modelling, Bayesian inference, simulation-based inference, experimental design, humans in the loop, privacy-preserving learning, and interdisciplinary collaboration with health, medicine, biology, user interaction, cognitive science, and neuroscience.

Institutional context: Samuel Kaski notes that part of the group is at Aalto University and part at the University of Manchester, with leadership roles in the ELLIS Institute Finland and the Manchester Centre for AI Fundamentals. This is a strong opportunity for candidates seeking research in leading European AI environments.

Eligibility and expectations: The post does not list detailed formal requirements, but it clearly targets candidates with strong interest in machine learning research. Doctoral applicants and postdoctoral applicants are both invited, and applicants are encouraged to suggest specific research directions aligned with the lab’s broader agenda.

Deadline: Applications are due on 2026-06-28.

How to apply: Visit the Kaski Lab website for the full call and application instructions. Prepare your application materials and submit them before the deadline. If you have a research idea within the listed themes, include it in your application.