Doctoral Student in Machine Learning

About the role

Four-year fully funded PhD at KTH’s School of Electrical Engineering and Computer Science, in the Machine Learning group. The project topic is decided between the student and the supervisor across deep learning, probabilistic ML, reinforcement learning, and theory of generalisation. The 2026 cohort intake has multiple positions across these subfields. Verify the deadline on the apply link before submitting.

Responsibilities

• Pursue original PhD research in a chosen ML subfield (deep learning, RL, probabilistic models, theory).
• Publish at top ML venues (NeurIPS, ICML, ICLR, AISTATS, JMLR).
• Complete 60 ECTS of doctoral coursework.
• Co-supervise Master’s projects and teach assistant on 1 to 2 courses per year.

Requirements

• Master’s degree in computer science, applied mathematics, electrical engineering, statistics, or a closely related field.
• Strong machine learning foundations and Python proficiency.
• Demonstrated research aptitude through Master’s thesis, publications, or internships.
• Fluent English.

Nice to have

• Publications, preprints, or open-source contributions in ML.
• Background in a target application area (healthcare, robotics, networks, science).
• Research experience at a top lab or research internship.

How to apply

Open the apply link to see the current cycle’s deadline and supervisor matching. Submit CV, transcripts, research statement, Master’s thesis, and two reference contacts via KTH’s Varbi recruitment system.