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Technische Universität Darmstadt
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PhD Candidate in Agentic AI for Intelligent Industrial Production Systems Technical University of Darmstadt in Germany
Degree Level
PhD
Field of study
Computer Science
Funding
Full-time temporary employment (100%) for three years as a Research Associate / PhD Candidate, remunerated according to pay group 13 TV TU Darmstadt. The position supports preparation of a doctorate and serves as a scientific qualification appointment. Benefits include 30 days of annual leave, public-transport access through the Hessen StateTicket, supplementary public-service pension, flexible working arrangements, professional development, health and sports benefits, and bicycle leasing.
Deadline
Dec 5, 2026
Country
Germany
University
Technische Universität Darmstadt
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About this position
The Technical University of Darmstadt’s Institute for Production Management, Technology and Machine Tools (PTW) is seeking a research associate and PhD candidate for its Manufacturing Technology research group. The project focuses on Agentic AI for intelligent industrial production systems, combining manufacturing technology, industrial digitalization, artificial intelligence, and data-centric system engineering.
The research will establish technological and data foundations for industrial AI-agent systems. The doctoral researcher will investigate how machines, data, and AI agents can be intelligently connected, orchestrated, and used on the shop floor. Key topics include system and data architectures for distributed agentic systems, orchestration and deployment of multiple AI agents and data sources, and decentralized provision and use of industrial data through technologies such as the Asset Administration Shell and Industrial Data Spaces.
A major part of the work involves testing agent-based applications on real production systems. The researcher will develop and implement innovative solutions, contribute to research projects, publish findings at national and international conferences, and help transfer scientific results into industrial applications. The role also includes supporting theses and student or research assistants and contributing to teaching.
Research will be embedded in PTW’s application-oriented production research environment, including the Test Field for Manufacturing Technology (TEC-Lab) and the Additive Manufacturing Center. These facilities enable technologies to be developed, tested, and validated directly on real machine tools and production systems. Collaboration with industrial and research partners provides an environment for translating research in industrial AI, manufacturing systems, and intelligent production into prototype applications.
The position offers an opportunity to prepare a doctorate while contributing to research at the intersection of computer science, industrial engineering, electrical engineering, manufacturing technology, and information technology.
Funding details
Full-time temporary employment (100%) for three years as a Research Associate / PhD Candidate, remunerated according to pay group 13 TV TU Darmstadt. The position supports preparation of a doctorate and serves as a scientific qualification appointment. Benefits include 30 days of annual leave, public-transport access through the Hessen StateTicket, supplementary public-service pension, flexible working arrangements, professional development, health and sports benefits, and bicycle leasing.
What's required
Applicants must hold a completed research-oriented university degree (Master's or Diplom), for example in mechanical engineering, industrial engineering, computer science, electrical engineering, computational engineering, or a comparable field. Candidates should be interested in technical and scientific questions and innovative solution development, demonstrate initiative, independent and structured working habits, problem-solving ability, teamwork, communication skills, and a confident manner. Good written and spoken German and English are required. Knowledge or practical experience in Agentic AI is advantageous, as is practical experience in industry or research through internships, theses, or student projects.
How to apply
Apply directly online through the TU Darmstadt job advertisement before 5 December 2026. Use the online application option on the official vacancy page; contact M.Sc. Gilbert Ely Engert for questions.
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