Pooja Rani
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Postdoctoral Position in AI/ML for Sustainable Software Engineering at the University of Mannheim University of Mannheim in Germany
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full-time TV-L 13 postdoctoral position with competitive salary, social benefits, and generous travel and research funding. Teaching and supervision opportunities are included.
Country
Germany
University
University of Mannheim

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About this position
Postdoctoral Position in AI/ML for Sustainable Software Engineering at the University of Mannheim, Germany.
The Sustainable Software Engineering Group is offering a full-time postdoc (TV-L 13) starting in Dec 2026 (negotiable). The role focuses on AI/ML for sustainable software engineering, with research topics including green software engineering, code performance optimization, source code analysis, and AI/ML methods for software engineering.
The position includes teaching and supervision opportunities in BSc and MSc programs, including supervision of BSc, MSc, and PhD theses, plus contribution to scientific funding proposals. The post also offers competitive salary, social benefits, and generous travel and research funding.
Applicants should have a PhD in Computer Science, Software Engineering, or a related field. Strong interest in sustainable/green software engineering and related AI/ML topics is expected. Experience with large-scale or HPC experimentation for software engineering is a strong advantage, and the group is looking for someone who can work independently in a collaborative research environment.
Deadline: applications are accepted until the position is filled.
Contact: Prof. Pooja Rani ([email protected]). More information on application documents and timeline is available via the linked page.
Funding details
Full-time TV-L 13 postdoctoral position with competitive salary, social benefits, and generous travel and research funding. Teaching and supervision opportunities are included.
What's required
PhD in Computer Science, Software Engineering, or a related field. Strong interest in green software engineering, code performance optimization, source code analysis, and AI/ML for software engineering. Experience with large-scale/HPC experimentation for software engineering is a strong plus. Ability to work independently in a collaborative research environment is required.
How to apply
Review the application documents and timeline via the linked information page. Contact Prof. Pooja Rani by email for questions. Apply according to the instructions in the linked post.
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