PostDoc – Causal Explanations In Reinforcement Learning

We have an opening for a postdoc position in the Research Group Neuroinformatics at the University of Vienna [1]. The position is funded by the CHIST-ERA project CausalXRL – Causal eXplanations in Reinforcement Learning [2]. The project aims to equip reinforcement learning agents with causal structure learning and reasoning abilities, enabling them to explore their environment more efficiently and justify their actions, e.g., in medical decision support. All work will be done in close collaboration with partners at the University of Sheffield and Inria Lille.

The position is available for three years, with an earliest (but reasonably flexible) starting date on July 1st. Salary is according to the Collective Bargaining Agreement for university staff at the University of Vienna (job group B1 100% [3]).

Our ideal candidate would have

  • a background in computer science or mathematics,
  • recently finished their Ph.D. on reinforcement learning or causality,
  • published first-author papers at internationally recognized machine learning conferences (e.g., NeurIPS, ICML, UAI, ECML) or in prominent journals.

We will consider all applicants with a strong track record in machine learning or artificial intelligence.

We strive to be a heterogeneous research team and particularly welcome applications by women, transgender and intersex candidates, people of colour, disabled applicants and candidates from other underrepresented groups. Disabled applicants will receive preference over equally qualified non-disabled applicants.


Your application should include a cover letter, a CV, relevant transcripts, and contact information of at least two referees. Please submit your application documents (as one PDF file) to will begin screening applications on May 17th. Applications will be considered until the position is filled.

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