Researcher in application-oriented Reinforcement Learning
Researcher in application-oriented Reinforcement Learning
Posted on :
16-07-2025
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1 Vacancy
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Job Description
Apply cutting-edge research in Artificial Intelligence and Reinforcement Learning (RL) to real-world optimization and decision problems. Work on high-impact applications such as next-generation smart power grids.
Tasks
- Assume responsibility in international and national research projects
- Contribute building blocks and methodology based on our open-source framework Maze focused on simulation-based RL together with an exceptional team of Research Scientists Machine Learning Engineers and Infrastructure Experts
- Analyze industry-related optimization and decision problems and translate them into Machine Learning systems (covering the complete development cycle from simulation engineering up to agent development training and deployment)
- Design and implement proof of concepts develop prototypes in Python and PyTorch for both RL-ready simulations (environments) as well as RL agents
- Review state-of-the-art literature and judge its relevance for practical applicability
Requirements
- Strong background in the field of RL and related Machine Learning disciplines
- Excellent Python programming skills knowledge of PyTorch and a wide range of Machine Learning methods
- Passionate about all things AI Machine Learning and Data Science
- Self-driven problem solver who enjoys coding as much as tinkering
- Ability to work independently as well as part of a team
- Degree in computer science (MSc or Ph.D.) or in a similar field
- Valid work permit for Austria
Benefits
- Enthusiastic research-driven team with rich expertise in Reinforcement Learning and Computer Vision as well as distributed training data engineering ML ops and cloud architecture
- Working with the latest technologies at the interface between research and industry (enliteAI is an ELISE EU research network Organizing Node)
- Flexible work models: Remote work an office in Viennas 1st district and minimal core hours
- Budget and time allotment for the pursuit of individual R&D projects training or conference participations
Employment Type
Full Time
Key Skills
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