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Artificial Intelligence● Open⏰ 9 days left×2 positionsPreview

2 PhD Positions in Reinforcement Learning

Join a pioneering project in continual reinforcement learning at Aalto University.

Best for:Ideal for aspiring researchers passionate about reinforcement learning and algorithm development.

Aalto University · Espoo, Finland · R1 · First-stage researcher
More professors at Aalto University
reinforcement learningcontinual learningalgorithm developmentnon-stationary environments
Deadline
Oct 23, 2026
9 days
Funding
—
Start date
flexible
Full-time
Location
Espoo
Finland

Overview

Aalto University is seeking two PhD candidates to contribute to an ERC Starting Grant project focused on ergodicity-aware continual reinforcement learning. The research aims to innovate theoretical and algorithmic strategies for reinforcement learning in dynamic environments, emphasizing continual learning and decision-making in non-ergodic contexts. Successful applicants will engage in cutting-edge research that addresses long-term performance challenges in reinforcement learning. This position offers an opportunity to work in a collaborative and intellectually stimulating environment.

PhDAalto Universityreinforcement learningmachine learningalgorithmic approaches

What you'll do

  • Conduct research on ergodicity-aware continual reinforcement learning.
  • Develop new theoretical frameworks and algorithms for reinforcement learning.
  • Collaborate with team members on research projects and publications.
  • Present research findings at conferences and workshops.
  • Contribute to the overall goals of the ERC Starting Grant project.

Requirements

Degree required: Master's degree in Computer Science, Artificial Intelligence, or a related field

Degree offered: PhD

Language: English; proficiency in spoken and written communication

Instruction: English

Required skills
  • Strong background in machine learning and reinforcement learning
  • Experience with programming languages such as Python
  • Ability to conduct independent research
  • Familiarity with algorithm development and evaluation
Nice to have
Knowledge of non-stationary environmentsExperience with theoretical research in AIFamiliarity with academic publishing processes
Eligibility
  • Open to all nationalities
  • Must hold a relevant Master's degree
  • No age limit specified

Funding & terms

Type
Unknown
Amount
—
Duration
—
Programme
ERC Starting Grant

How to apply

Deadline: 2026-10-23

Interested candidates should submit their application through the provided link. Ensure all required documents are included for consideration.

Documents required
  • CV
  • Cover letter
  • Research proposal
  • Transcripts from previous degrees
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