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Technical University of Munich

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PhD Position in Machine Learning, Agentic AI, and Deep Reinforcement Learning at Technical University of Munich Technical University of Munich in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

December 31, 2026
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Country

Germany

University

Technical University of Munich

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Keywords

Computer Science
Reinforcement Learning
Drying
Separation
Industry Collaboration
Machinelearning
Ai Agents
Protein Production Technologies
Process Engineering

About this position

The Technical University of Munich is inviting applications for Doctoral Researchers with a strong background in machine learning, agentic AI, and deep reinforcement learning. This opportunity is ideal for candidates interested in advancing research in food process engineering, particularly in protein technology, separation, and drying. The position offers a two-year role with the possibility of extension and a potential doctoral option, providing exposure to industry collaboration and access to modern laboratory facilities.

Applicants should hold an MSc in a related field and possess experience with instrumentation. The research will focus on the intersection of artificial intelligence and food process engineering, leveraging advanced machine learning techniques to address challenges in protein technology and process optimization. Candidates with expertise in agentic AI and deep reinforcement learning are especially encouraged to apply.

While funding details are not specified, the role promises significant research and industry engagement opportunities. Interested candidates should refer to the provided LinkedIn and Owlindex links for further information and application instructions. The Technical University of Munich is a leading institution in Germany, renowned for its cutting-edge research and innovation in engineering and technology.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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