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Aalto University

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2 Doctoral Researchers in Reinforcement Learning (PhD) Aalto University in Finland

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded doctoral researcher position. The appointment follows Aalto’s 2+2 model: initially two years, then extended by two further years after a successful mid-term review, for a total of four years. Starting salary is 3143 €/month.

Deadline

Oct 23, 2026

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Country

Finland

University

Aalto University

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Keywords

Computer Science
Electrical Engineering
Information Technology
Mathematics
Stochastic Processes
Python Programming
Reinforcement Learning
Robotics
Dynamic Programming
Statistics

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About this position

Aalto University is recruiting 2 Doctoral Researchers in Reinforcement Learning at the School of Electrical Engineering in Espoo, Finland. The project is part of an ERC Starting Grant-funded research effort in the Cyber-physical Systems Group focused on continual reinforcement learning for real-world systems.

The research sits at the intersection of reinforcement learning, stochastic processes, ergodicity theory, dynamic programming, and Markov decision processes. The two positions are complementary: one focuses on trajectory-centric optimization under non-ergodic dynamics, and the other on adaptive, context-dependent policies and change detection. The team aims to develop theory and practical algorithms that improve long-term performance and safety in changing environments.

Possible application areas include autonomous vehicles, manufacturing systems, medical monitoring, and robotics. The group also mentions potential validation in simulation and hardware experiments, including robot arms and quadruped robots.

This is a fully funded PhD/doctoral researcher position. The appointment starts in January 2027 or by mutual agreement, follows Aalto’s 2+2 model, and offers a starting salary of 3143 €/month.

Eligibility highlights: a master’s degree in computer science, mathematics, electrical engineering, or a related field; fluent English; ability to work independently and in a research team; and preferred experience in stochastic processes, ergodicity theory, RL, dynamic programming, MDPs, and Python.

To apply, submit the application through Aalto’s recruitment portal by 2026-10-23 at 23:59 EEST. Include a motivation letter stating which of the two positions you want, a CV with at least two referees, and Bachelor’s/Master’s transcripts and diplomas in English PDF format.

Funding details

Fully funded doctoral researcher position. The appointment follows Aalto’s 2+2 model: initially two years, then extended by two further years after a successful mid-term review, for a total of four years. Starting salary is 3143 €/month.

What's required

Applicants should have a master’s degree in computer science, mathematics, electrical engineering, or a related field. They must have fluent written and verbal English skills and be able to work both independently and collaboratively in a research team. Desired background includes stochastic processes, ideally ergodicity theory, reinforcement learning, dynamic programming, Markov decision processes, and programming skills in Python. Selected candidates must also apply for the study right in doctoral studies at Aalto University School of Electrical Engineering.

How to apply

Apply through Aalto University’s recruitment site using the “Apply now!” link. Submit a motivation letter stating which of the two positions you apply for, a CV with at least two referees, and copies of Bachelor’s and Master’s transcripts and diplomas in English PDF format. Apply by 23 October 2026 at 23:59 EEST.

More information can be found here

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