PhD Position in Human-AI Collaboration for Young Professionals
Explore how young professionals develop skills for meaningful AI collaboration in professional contexts within an interdisciplinary EU-funded network.
Best for:Best for candidates with a master’s degree in social sciences, human-computer interaction, or related fields, interested in interdisciplinary research on human-AI collaboration, professional learning, and digital technologies at work.
Overview
This fully funded PhD position at the Technical University of Munich (TUM) focuses on investigating how young professionals acquire skills and judgment to effectively collaborate with AI in everyday work settings. As part of the MSCA Doctoral Network EMANAIRE, the successful candidate will examine co-agency—the dynamic interplay between human and AI capabilities—across diverse professional roles, sectors, and contexts. The project combines qualitative and quantitative methods, including surveys, behavioral experiments, and observational studies, to understand how professionals adapt, trust, and retain control over AI-supported decisions. The position offers a three-year contract with international mobility, intersectoral secondments, and access to a network of leading researchers in AI and human agency.
What you'll do
- Conduct empirical research to investigate how young professionals develop skills for meaningful collaboration with AI in professional contexts.
- Develop and refine research questions and study design in collaboration with the supervisory team, incorporating methods like surveys, behavioral experiments, and observational studies.
- Prepare ethics, data management, and open science materials for the research project.
- Contribute to teaching activities at TUM, including course preparation, delivery, and student supervision.
- Complete a doctoral thesis and publish research outputs within the TUM doctoral program and the EMANAIRE network.
- Participate in local and network-wide training, cohort activities, and engagement with external organizations.
- Undertake a six-month intersectoral secondment and academic mobility visit as part of the MSCA program.
- Promote research integrity, equality, responsible AI practices, and FAIR data principles.
Requirements
Degree required: Master's degree or equivalent qualification that grants access to doctoral studies, completed by the start date. Relevant fields include psychology, communication, human-computer interaction, sociology, management, organizational behavior, or related social sciences.
Degree offered: PhD
Language: English; professional working proficiency required
Instruction: English
- Professional proficiency in English (spoken and written)
- Willingness to travel for secondments and network activities
- Eligibility under MSCA rules (no PhD, mobility criteria, and ability to enroll in TUM doctoral program)
- Applicant must not already hold a PhD (or have formally received one)
- Mobility rule: In the 36 months before the start date, applicant must not have lived, worked, or studied mainly in Germany for more than 12 months (excluding holidays, national service, or refugee status procedures)
- Must be able to enroll in the TUM doctoral program by the start date
Funding & terms
How to apply
Deadline: 2026-11-01
Applicants must submit their application through the online application form available at the provided URL. The application should include a CV (without photo, date of birth, or marital status) and copies of degree certificates and transcripts. Additional documents may be requested based on the application review process.
- CV (without photo, date of birth, or marital status)
- Copies of degree certificates and transcripts
- Research proposal or statement outlining the applicant’s ideas for the project
Contact
Sandra Cortesi· Main Supervisor
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