Postdoc of Human-AI interaction in digital health

Department of Computer Science
Faculty of Science
University of Copenhagen

Human-AI interaction in digital health presents unique challenges related to the responsible design, development, and deployment of systems based on machine learning and generative AI. This 3-year postdoctoral position is open to applicants holding a PhD in human-computer interaction, computer science, information technology, or a related field. The ideal candidate will be interested in advancing research and teaching in digital health, with a particular focus on human-computer interaction and patient- and clinician-facing AI.

The position is associated with two projects, which the candiate is expected to lead: 1) Conduciting a near-live evaluation of a deep learning model designed for radiologists to detect findings in chest X-rays, and 2) Assessing a real-time, ML-based colonoscopy decision-support system currently undergoing pilot implementation.

The postdoc’s duties will include research within human-AI interaction in digital health as well as teaching a 7.5 ECTS elective course called Development of Cloud-Based Health Apps on the Health Informatics bachelor education as well as some teaching in the general area of software engineering and architecture. The post may also include performance of other duties, such as undergraduate student co-supervision.

The position is partially funded by the Pioneer Centre for Artificial Intelligence (P1), a 5-university research centre hosted by the University of Copenhagen’s Department of Computer Science. Affiliation with P1 offers access to extra resources, activities, and facilities

Further information on the Department is linked at https://www.science.ku.dk/english/about-the-faculty/organisation/. Inquiries about the position can be made to Associate Professor Tariq Osman Andersen ([email protected]).

The position is open from March 1, 2025 or as soon as possible thereafter. The length of the employment is three years.

The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

Formal requirements
Applicants should have or be about to receive a PhD degree in a subject relevant to the research area, and have good written and oral English skills. Proficiency in Danish is a plus since the projects may involve communication to Danish speaking participatns. Experience with all stages of conducting HCI research, programming competencies, and teaching experience are also desirable. The assessment of your qualifications will be based on previous scientific publications (if any) and relevant work experience.

Terms of employment
The position is 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.

The application, in English, must be submitted electronically by clicking APPLY NOW below.

Please include

• Curriculum vitae
• Diplomas (Bachelor, Master and PhD degree or equivalent)
• Research plan – description of current and future research plans
• Complete publication list
• Separate reprints of 3 particularly relevant papers

The deadline for applications is 29 January 2025, 23:59 CET.
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 will be held on February 26, 2025.

Københavns Universitet giver sine knap 10.000 medarbejdere muligheder for at udnytte deres talent fuldt ud i et ambitiøst, uformelt miljø. Vi sikrer traditionsrige og moderne rammer om uddannelser og fri forskning på højt internationalt niveau. Vi søger svar og løsninger på fælles problemer og gør ny viden tilgængelig og nyttig for andre.

Info
Ansøgningsfrist: 29-01-2025

Ansættelsesdato: 01-03-2025

Arbejdstid: Fuldtid

Afdeling/Sted: Department of Computer Science