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Andreas Møgelmose

10 months ago

PhD in AI for Healthcare – Automation of Anesthetic Pre-screenings (AI:Xpertise Lab) Aalborg University in Denmark

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Expired

Country flag

Country

Denmark

University

Aalborg University

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Keywords

Computer Science
Machine Learning
Biomedical Engineering
Information Technology
Artificial Intelligence
Computer Vision
Organizational Studies
Medical Science
Minimally Invasive Surgery
Spinal Surgery
Large Language Models

About this position

AI:X is a pioneering initiative at Aalborg University, Denmark, dedicated to advancing artificial intelligence research and generating real-world impact through interdisciplinary collaboration. In 2025, five new labs will be launched under AI:X, offering a total of 20 PhD stipends. The AI:Xpertise Lab, one of these, is a joint effort between the Department of Architecture, Design and Media Technology, the Technical Faculty of IT and Design, and the Department of Politics and Society, Faculty of Social Sciences and Humanities. Four PhD stipends are available in the lab, with Stipend 1 open for appointment from March 1, 2026 (or soon thereafter).

This PhD position focuses on 'AI for Healthcare', specifically the automation of anesthetic pre-screenings. Auxiliary research cases may include the evaluation of laparoscopic surgery and AI assistance for spinal surgery. The lab’s mission is to integrate AI development with organizational science, investigating both technical and organizational conditions for successfully embedding AI systems in expert work environments such as healthcare.

Applicants should have a strong background in software engineering or a closely related field, with substantial experience in machine learning and computer vision. Experience with large language models is considered an advantage. The position requires full-stack development skills, including the ability to build user interfaces and deploy AI systems. Given the interdisciplinary nature of the lab, candidates should be keen to collaborate with organizational researchers.

Eligibility requires a Master’s degree and fulfillment of the Danish Ministerial Order No. 1039 for PhD enrollment. The stipend is funded for three years, with salary and employment terms governed by the AC collective agreement. The application must include a motivation letter, a project proposal (maximum 5 pages), CV, diplomas and transcripts, and co-author statements for any co-authored publications. Applications are to be submitted via Aalborg University’s recruitment system, accessible through the job advertisement link.

The application deadline is February 5, 2026, with interviews scheduled between January 23 and February 5, 2026. The selection process involves shortlisting and assessment by qualified experts. Aalborg University values diversity and encourages applications from all backgrounds. For further information or questions, contact Associate Professor Andreas Møgelmose or AAU PhD Annemarie Davidsen via the provided emails.

This opportunity is ideal for candidates passionate about deploying advanced AI solutions in healthcare, eager to work in a collaborative, interdisciplinary environment, and motivated to contribute to impactful research at a leading international university.

Funding details

Available

What's required

Applicants must hold a Master's degree in software engineering or a closely related field. Substantial experience with machine learning and computer vision is required. Experience with large language models is a plus. Candidates should have full-stack development skills, including building user interfaces and deploying systems. Interest in interdisciplinary collaboration with organizational researchers is expected. Application must include a motivation letter, project proposal (max. 5 pages), CV, diplomas and transcripts, and co-author statements for any co-authored publications. Enrollment as a PhD student at the relevant Doctoral School is required, and progress will be assessed regularly according to Danish Ministerial Order No. 1039.

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Professors

Associate Professor at Aalborg University

University Name
Country flag

Denmark

Research Interests

Artificial Intelligence

Biomedical Engineering

Point Cloud

Information Technology

Computer Vision