Publisher
source

Pooja Rani

6 months ago

PhD and Postdoc Positions in Sustainable Software Engineering and AI/ML at University of Mannheim University of Mannheim in Germany

Degree Level

PhD, Postdoc

Field of study

Computer Science

Funding

Two full-time positions at TV-L 13 (100%) with competitive salary and social benefits. The university offers generous travel and research funding, access to compute infrastructure, flexible working conditions, and for the postdoc role teaching opportunities and PhD co-supervision. The PhD position is initially for 3 years with possible extension; the postdoc position is initially for 2–3 years with possible extension.

Deadline

Expired

Country flag

Country

Germany

University

University of Mannheim

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Keywords

Computer Science
Information Technology
Energy Consumption
ML

About this position

PhD and Postdoc positions in Sustainable Software Engineering / AI/ML are open at the University of Mannheim in Germany, in the Sustainable Software Engineering Group led by Prof. Pooja Rani.

The group is recruiting for two full-time positions (TV-L 13, 100%):
- PhD Position in Sustainable Software Engineering
- Postdoctoral Position in AI/ML for Sustainable Software Engineering

Research themes include software sustainability, green software engineering, AI/ML for software engineering, software performance optimization, source code analysis, software evolution, software architecture, code generation, energy-efficient code, sustainable deployment, and measuring energy consumption on controlled servers. The postdoctoral role also includes co-supervision of PhD and MSc/BSc students and contribution to funding proposals.

Eligibility highlights: the PhD role asks for an MSc in Computer Science, Software Engineering, Machine Learning, or a closely related field; the postdoc role asks for a PhD in Computer Science, Software Engineering, or a closely related field. Both roles require strong programming skills, practical experience with machine learning frameworks, excellent English, and strong research motivation. Experience with large-scale or HPC experimentation is a strong plus.

What is offered: full-time employment with competitive salary and social benefits, generous travel and research funding, access to compute infrastructure, flexible working conditions, and teaching opportunities in BSc/MSc programs. The PhD position is initially for 3 years (with possible extension), and the postdoc position is initially for 2–3 years (with possible extension).

Application deadline: 10 May 2026. The intended start date is June 2026.

How to apply: send a single PDF by email to Prof. Pooja Rani with the requested documents. Use the subject line [SSE PhD position] or [SSE Postdoc position] depending on the role. The post links to a page with the full application document list and timeline.

Funding details

Two full-time positions at TV-L 13 (100%) with competitive salary and social benefits. The university offers generous travel and research funding, access to compute infrastructure, flexible working conditions, and for the postdoc role teaching opportunities and PhD co-supervision. The PhD position is initially for 3 years with possible extension; the postdoc position is initially for 2–3 years with possible extension.

What's required

For the PhD position, applicants should have an MSc degree in Computer Science, Software Engineering, Machine Learning, or a closely related field, with strong background in software engineering, computer science, machine learning, or related areas, very good programming skills, practical experience with machine learning frameworks, strong analytical and problem-solving skills, ability to work independently and collaboratively, high motivation for research and teaching, and excellent written and spoken English. For the postdoctoral position, applicants should have a PhD in Computer Science, Software Engineering, or a closely related field, a strong research interest in green software engineering and software performance optimization, a solid publication record, very good programming skills, practical experience with AI/ML frameworks, mentoring/advising and collaboration skills, ability to work independently in a collaborative environment, and proficiency in spoken and written English. Experience with large-scale or HPC experimentation is a strong plus for both roles.

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Professors

Professor

University Name
Country flag

Germany

Research Interests

Ml

Computer Science

Software Engineering

Information Technology

Energy Efficiency