We invite applications for a four-year Assistant Professor position in Human-Centred AI in Healthcare at the Department of Computer Science (DIKU). We are looking for candidates who will lead research in an innovative project aimed at improving citizens' encounters with medical services through AI. The project leverages public data and explores new approaches to human-AI alignment. As part of an interdisciplinary team, you will work closely with both technical and medical experts across research and the public and private sector. Your primary responsibilities include:
The position includes contributing to and strengthening the Section for Software, Data, People and Society (SDPS) and the Human-Centred Computing section, including teaching and course responsibility for relevant BSc and MA courses. The SDPS Section's research spans human-centred design to software and data management technologies, often in close collaboration with public and private partners. The HCC section's research spans collaborative technologies, human-centred AI, AR/ VR, health informatics, AI in education, and digital fabrication.
It is a high priority at our department to foster a research environment of the highest excellence, allowing people from diverse backgrounds to thrive. As part of SDPS or HCC, you will join a vibrant and leading department with strong research sections in the many areas of computer science and with a cross-faculty educational program in Health Informatics. We are co-organising the UCPH Network for Digital Health as well as heading two centres within Artificial Intelligence: the SCIENCE AI Center and the Pioneer Center for Artificial Intelligence.
Outstanding applicants with a background in computer science or related field, and experience with human-centred AI in healthcare will be considered, preferably with:
This recruitment is part of a joint hiring process across assistant professor and postdoc levels, and it is expected that a total of two candidates will be appointed across the two calls.
The assistant professor's duties will primarily include research, including obligations with regard to publication/scientific communication and research-based teaching with associated examination obligations within Human-Centred AI in Healthcare. To a limited extent this may also include performance of other duties.
Assessment of applicants will primarily consider their level of documented, internationally competitive research. The ability to attract external funding will be considered together with outreach qualifications. Teaching qualifications are not mandatory but documented teaching qualifications and teaching experience will be considered.
Further information on the Department can be found on the DIKU website. Inquiries about the position can be made to Associate Professor, Tariq Andersen, tariq@ku.dk, Department of Computer Science, University of Copenhagen.
The position is open from September 1, 2026 or as soon as possible thereafter.
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
Terms of employment are covered by the Memorandum on Job Structure for Academic Staff. Terms of appointment and payment accord to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State. Negotiation for salary supplement is possible.
When you will be affiliated with the University of Copenhagen or otherwise have access to their research, you may be required to undergo a background screening. The purpose is to protect the security and research integrity of the University of Copenhagen.
The application, in English, must be submitted electronically by clicking Apply for position below.
Please include:
The deadline for applications is 31 May 2026, 23:59 GMT +2.
After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee.
You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/. Interviews are expected to be held in week 27.
Tagged as: Life Sciences
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