Technical University of Munich
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PhD in Human–AI Collaboration and Co-Agency for Young Professionals at Technical University of Munich Technical University of Munich in Germany
Degree Level
PhD
Field of study
Sociology
Funding
Fully funded MSCA Doctoral Network position for 36 months. Full-time employment contract (40 hours/week) with social security, health insurance, and pension contributions. Approximate gross monthly salary is €3,800 before taxes and social security, including the MSCA mobility allowance; an additional family allowance may be available to eligible candidates. About 25% of the position is dedicated to teaching and career-development activities.
Deadline
Nov 1, 2026
Country
Germany
University
Technical University of Munich
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About this position
Technical University of Munich (TUM) is recruiting a doctoral researcher for the MSCA Doctoral Network EMANAIRE (Empowering Human Agency in AI-Augmented Futures of Work). The project studies how AI is changing work, human agency, and professional learning, with a specific focus on human–AI collaboration, co-agency, and the skills young professionals need to work effectively with generative AI.
The doctoral project will examine how people learn to divide tasks and responsibilities between themselves and AI, assess AI contributions, detect errors, decide when human judgment should take precedence, and maintain autonomy over time. The research may use surveys, scenario-based tasks, behavioral experiments, interviews, and observational approaches, and the exact research questions will be developed with the supervisory team.
This is a fully funded 36-month doctoral position in Munich, Germany, with a full-time employment contract (40 hours/week), social security, health insurance, and pension contributions. The gross monthly salary is approximately €3,800 before taxes and social security, including the MSCA mobility allowance; an additional family allowance may be available for eligible candidates. Around 25% of the role is dedicated to teaching and career-development activities.
Eligibility highlights: applicants must hold a Master's degree or equivalent by the start date, have professional working proficiency in English, be willing to travel for network activities and a six-month intersectoral secondment, and satisfy MSCA mobility rules. German is not required. Applicants must not already hold a PhD and must be able to enroll in the TUM doctoral program.
Supervision at TUM is by Prof. Sandra Cortesi, with possible co-supervision from Prof. Christian Fieseler, Prof. Urs Gasser, Prof. Christoph Lutz, and Prof. Gemma Newlands depending on the project focus. The position is based on site in Munich, with teleworking not permitted.
How to apply: submit the online application form by 2026-11-01. Include a CV, degree certificates and transcripts, a short research proposal (max 2 pages), and contact details for two referees.
Funding details
Fully funded MSCA Doctoral Network position for 36 months. Full-time employment contract (40 hours/week) with social security, health insurance, and pension contributions. Approximate gross monthly salary is €3,800 before taxes and social security, including the MSCA mobility allowance; an additional family allowance may be available to eligible candidates. About 25% of the position is dedicated to teaching and career-development activities.
What's required
A Master's degree or equivalent qualification that grants access to doctoral studies by the start date is required. Relevant backgrounds include psychology, communication, media studies, human-computer interaction, information systems, sociology, management, organizational behavior, human resource management, law and technology, science and technology studies, political science, or related social-science/interdisciplinary fields. Applicants must have professional working proficiency in English, be willing to travel for secondment and network activities, be eligible under MSCA rules, and be able to enroll in the TUM doctoral program. Helpful but not required: interest in human-AI collaboration, professional learning, human agency, digital technologies at work, strong quantitative/qualitative/mixed-methods skills, and experience with surveys, experiments, scenario-based methods, interviews, or observational research.
How to apply
Apply through the online application form by 1 November 2026. Submit a CV, copies of degree certificates and transcripts, a short research proposal of no more than 2 pages, and contact details for two referees. Review the MSCA eligibility rules carefully before applying.
More information can be found here
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