Publisher
source

Brandenburg University of Technology

PhD Opportunity in AI-Based Design of Engine Architecture Brandenburg University of Applied Sciences in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

Research associate position with salary group E 13 TV-L, 40 hours/week, initially limited until 30 April 2029. The post includes the opportunity to pursue a doctoral degree; no stipend is stated.

Deadline

Oct 22, 2026

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Country

Germany

University

Brandenburg University of Technology

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Keywords

Computer Science
Mechanical Engineering
Aerospace Engineering
Artificial Intelligence
Python Programming
Physics
Large Language Models
ML

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About this position

Research Associate / PhD opportunity in AI-based design of engine architecture at Brandenburg University of Applied Sciences (Germany), within the Department of Engineering and the DaHKIZ project (Data-based Holistic AI-supported Civil Engine Development) in cooperation with Rolls-Royce Dtl.

The position focuses on artificial intelligence, machine learning, large language models (LLMs), retrieval-augmented generation (RAG), semantic data modelling, and engine architecture / preliminary engine design. The work includes AI-supported component selection, automated evaluation of engine concepts, ontology-based metadata models, multi-agent architectures, and validation of AI methods in GTlab and related design workflows.

This is a research associate role with the opportunity to pursue a doctoral degree. The post is paid at E 13 TV-L, full-time (40 hours/week), and is initially limited until 30 April 2029. Scientific publication and conference presentation are part of the role.

Eligibility highlights: completed Master's degree or university diploma in Computer Science, Aerospace Engineering, Mechanical Engineering, Physics, or a related discipline; strong knowledge of machine learning; experience with engine/system design or semantic data modelling; confident Python skills; very good English (C1). Helpful extras include PyTorch/TensorFlow, LLMs, RAG, multi-agent systems, GTlab, software plug-ins, and ontologies. Good German (B2) is desirable, and support is offered for international applicants.

Application deadline: 2026-10-22. Apply through the online portal and quote reference number HAP5. Contact Prof. Flassig for academic questions and Ms Peters for application-process support.

Funding details

Research associate position with salary group E 13 TV-L, 40 hours/week, initially limited until 30 April 2029. The post includes the opportunity to pursue a doctoral degree; no stipend is stated.

What's required

Applicants must have a completed Master's degree or university diploma in a relevant discipline such as Computer Science, Aerospace Engineering, Mechanical Engineering, Physics, or a similar field. Required are sound knowledge of machine learning and either engine/system design or semantic data modelling, confident use of Python or an equivalent language, and very good English skills at C1 level. Desirable are experience with deep-learning frameworks such as PyTorch or TensorFlow, LLMs, RAG or multi-agent systems, preliminary engine design or GTlab/comparable simulation-based design environments, software plug-ins, and ontologies or semantic model representation. Good German skills at B2 are desirable, with support offered for international applicants.

How to apply

Apply online via the university application portal and quote reference number HAP5. Submit the application by 22.10.2026. For questions about the role, contact Prof. Flassig by email; for application-process support, contact Ms Peters.

More information can be found here

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