Lund University
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6 days ago
Postdoctoral Position in Human-Computer Interaction and AI-Mediated Programming Lund University in Sweden
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full-time, fixed-term postdoctoral employment for two years. The position is part of a project funded jointly by WASP and WASP-HS. Teaching may be included up to 20% of working hours, and the role includes three weeks of training in higher education teaching and learning. No stipend amount is stated.
Deadline
Oct 26, 2026
Country
Sweden
University
Lund University
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About this position
Postdoctoral position at Lund University, Sweden in human-computer interaction with a focus on AI-mediated programming, generative AI, and software development. The role is based in the NEX (Notations, Environments, and eXperiences) research group within the Software Development and Environments (SDE) unit at the Department of Computer Science.
The project, Intention Drifting: Ethics, Authorship and Critical Judgment in AI-Mediated Programming, is funded by WASP and WASP-HS and is led by Emma Söderberg (Lund University) and Martin Jonsson (Södertörn University). The work sits at the intersection of software engineering, developer tools, human-computer interaction, and critical studies of human-AI relations.
Research topics include intention drifting, authorship, responsibility, critical judgment, AI-supported code review, semi-automatic code improvement, trust calibration in LLM-assisted refactoring, and the design of trustworthy agents in software development. Methods include qualitative empirical studies, think-aloud sessions, retrospective interviews, workshops with developers, and research through design.
This is a full-time, fixed-term postdoctoral appointment for two years, with teaching up to 20% of working hours. The position includes three weeks of training in higher education teaching and learning. The project also involves collaboration with industry partners and travel between Lund and Stockholm, plus participation in international conferences and workshops.
Eligibility requires a PhD in human-computer interaction, interaction design, or a closely related field, plus documented experience with qualitative empirical research. Strong English skills, independence, and the ability to collaborate across disciplines are required. Helpful additional experience includes research through design, critical AI studies, software development knowledge, generative AI research, ethics in design, interdisciplinary work, and industry collaboration.
Deadline: 2026-10-26. Apply via the Lund University recruitment system with a CV, publication list, personal letter, research statement (max two pages), degree certificate, and any supporting documents.
Funding details
Full-time, fixed-term postdoctoral employment for two years. The position is part of a project funded jointly by WASP and WASP-HS. Teaching may be included up to 20% of working hours, and the role includes three weeks of training in higher education teaching and learning. No stipend amount is stated.
What's required
Applicants must have a PhD, or an equivalent international degree, in human-computer interaction, interaction design, or a closely related field. Priority is given to candidates who graduated no more than three years before the application deadline, unless special circumstances apply. Additional requirements include documented experience planning and conducting qualitative empirical studies such as interviews, observations, think-aloud studies, or workshops; very good oral and written English; independence; and the ability to collaborate across disciplines and institutions. Experience with research through design, theoretical perspectives on human-technology relations, software development/programming practice, generative AI or human-AI interaction, ethics in design, interdisciplinary work, and industry collaboration are advantageous.
How to apply
Submit the application through the university recruitment system in English. Include a CV with publications, a personal letter explaining your interest and fit, a research statement of no more than two pages, a degree certificate or equivalent, and any supporting documents such as transcripts, referee details, or recommendation letters.
More information can be found here
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