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Technical University of Munich

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Research Associate / PhD Opportunity in Analysis and Modeling of Complex Socio-Technical Systems at Technical University of Munich Technical University of Munich in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

Paid full-time research associate position under TV-L, initially fixed-term until 31.01.2029. The post includes the possibility of pursuing a PhD, but no stipend amount or tuition funding is stated.

Deadline

Nov 30, 2026

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Country

Germany

University

Technical University of Munich

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Keywords

Computer Science
Psychology
Cognitive Science
Systems Engineering
Mechanical Engineering
Information Technology
Industrial Engineering
Human Factors Engineering
Digital Twin Technology
Sociotechnical Systems
Computational Modelling

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About this position

Technical University of Munich (TUM), Chair of Ergonomics, is recruiting a full-time Research Associate for the ReSyst research group in Garching, Germany. The project focuses on the analysis, modeling, and design of complex socio-technical systems, with a specific example in teleoperated driving.

The role centers on developing and validating digital twin and modeling approaches for adaptive socio-technical systems. Core methods include qualitative and quantitative studies, empirical experiments, simulation, and the Functional Resonance Analysis Method (FRAM). The work also involves analyzing human, technical, and organizational factors in safety-critical work systems, contributing to teaching, supporting grant applications, and publishing in journals and conferences.

This is a paid TV-L position, full-time (40 hours/week), initially fixed-term until 31 January 2029. The post explicitly mentions the possibility of pursuing a PhD. No scholarship name, stipend amount, or tuition waiver is stated.

Eligibility highlights include a completed Master's degree in a relevant field such as Human Factors Engineering, Systems Engineering, Safety Science, Psychology, Cognitive Science, Mechanical Engineering, or Computer Science; strong interest in Human Factors, Resilience Engineering, and modeling/simulation; willingness to learn tool-specific programming languages; strong teamwork and communication skills; and business-level German and English.

Application is by email only. Applicants should send their documents as one PDF with the subject line “Bewerbung ReSyst” to [email protected] by 30 November 2026.

Funding details

Paid full-time research associate position under TV-L, initially fixed-term until 31.01.2029. The post includes the possibility of pursuing a PhD, but no stipend amount or tuition funding is stated.

What's required

Completed Master's degree in a technical, human-science, or safety-science related field such as Human Factors Engineering, Systems Engineering, Safety Science, Psychology, Cognitive Science, Mechanical Engineering, Computer Science, or a comparable program, with an overall grade better than 2.5. Strong interest in Human Factors, Resilience Engineering, sociotechnical systems, and modeling/simulation approaches; interest in designing, conducting, and evaluating empirical studies and experiments; ideally some experience with sociotechnical system modeling (e.g. FRAM); willingness to learn tool-specific programming languages; very strong analytical/systemic understanding; teamwork, structured work style, excellent communication skills; motivation for scientific publishing; business-level German and English.

How to apply

Prepare your application documents as a single PDF. Send them by email with the subject line 'Bewerbung ReSyst' to [email protected]. The application deadline is 30 November 2026.

More information can be found here

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