Are you enthusiastic about AI methods and data science? Do you believe AI will change future health care?

Then consider joining us!

The Faculty of Medicine, Aalborg University, is launching a strategic initiative on AI method research within health data science. The aim is to create a cross-disciplinary initiative to strengthen cohesion across medicine, engineering, and natural science disciplines and departmental boundaries at the faculty. To kick-off the initiative, three tenure track assistant professors are recruited within the area of AI and Health Data Science. This position is specifically within Pioneering AI methods for integrative analysis of imaging, clinical and biomedical data to advance understanding and management of complex diseases. The position is open for appointment as of 1 November 2025 or soon hereafter.

The tenure track assistant professor will be employed at Department of Health Science and Technology (HST). At HST, we conduct research, teaching, and innovation within engineering, biomedicine, sports science, public health, neuroscience, psychology, and physiotherapy to develop sustainable technological solutions. Our mission is to contribute to increased quality of life for the benefit of the individual human being and society.

We take active part in implementing the 2030 vision of the Faculty of Medicine: “To become leading within digital health and well-known for doctors and engineers finding solutions together”. HST’s mission is to drive positive societal impact through cutting-edge research and innovation, with a strong focus on digital health. We are dedicated to address four grand challenges that shape our vision for a healthier and more sustainable future.

We educate bachelors and masters of science within biomedical engineering, medicine, medicine with industrial specialization, biomedical engineering, sports science, public health, and clinical health and technology. Our graduates contribute to setting the agenda for future needs and solutions for increased public health and implementation of new health knowledge and technologies.

Currently, HST has approximately 280 employees, 100 Ph.D. students enrolled at the Doctoral School in Medicine, Biomedical Science and Technology, and 1,500 students in our bachelors and master’s programs. We hold state of the art research and teaching facilities. 
You can read more about HST at our web page and research portal. 

Job description  
In the Medical Informatics and Image Analysis group, we seek a highly ambitious and internationally recognized early-career researcher with a strong track record of scientific excellence to advance methodological innovation in artificial intelligence applied to imaging and clinical/biomedical data. The successful candidate is expected to be independent yet collaborative, conducting research at an international level developing deep learning, vision transformers, graph neural networks, foundation models, or related methodologies for integrating diverse imaging data with clinical, laboratory, and genomic data.

The research should address key challenges in biomedical imaging across a wide spectrum of healthcare applications—ranging from acute conditions such as stroke and infections to chronic diseases including diabetes, COPD, cancer, cardiovascular, and neurodegenerative disorders—where advanced AI techniques can enhance diagnostic accuracy, disease monitoring, and therapeutic decision-making. Methodological interests may include multimodal fusion, self-supervised and weakly supervised learning, domain adaptation, and the development of interpretable and uncertainty-aware models designed for real-world clinical implementation.

The candidate will hold a PhD in computer science, biomedical engineering, applied mathematics, or a related discipline, and should demonstrate a strong record of methodological contributions at the intersection of AI and biomedical data integration. Experience in interdisciplinary collaboration, a strong publication record, and a commitment to teaching and supervision are essential.

The Medical Informatics and Image Analysis group focuses on digital health, predictive modeling, artificial intelligence, and medical image analysis. The group develops and evaluates clinically meaningful decision support tools by integrating health data, domain knowledge, and machine learning. Key objectives include improving diagnosis, monitoring, and treatment through early detection of deterioration, personalized risk prediction, and modeling of complex patient pathways.

Tenure-track assistant professors are offered employment for a six-year period during which they must acquire qualifications at the associate professor level. At the end of the period, the assistant professor transfers to employment as an associate professor, following positive assessment. Promotion to associate professor is thus based solely on the staff member's own results and not on competition with other candidates.

As a tenure track assistant professor you are expected to conduct research (50%) and teaching (50%). Later, as an associate professor you are also expected to conduct both research (40%) and teaching (60%).

As a tenure track assistant professor you are expected to:

• participate in drawing up your individual tenure-track career plan, including both research and teaching career goals, which should be followed
• teaching:  complete the course in university pedagogy for assistant professors
• research:  work on attracting external funding
• non-native Danish speaker: learn Danish within the first few years of your employment to conduct teaching with support from HST

For the level of ASSISTANT PROFESSOR, the following criteria will apply:

The candidate should have qualifications corresponding to an acquired Ph. D. degree. We expect that the candidate:

• has published in peer-reviewed journals as the first author of the publication
• has experience with applying for external funding for projects, equipment, travel costs, etc. maybe as main applicant (PI) or co-applicant (co-PI). This will be an advantage 
• should be able to carry out teaching, exams, and quality assurance - either independently or under supervision of a senior colleague 
• has experience with presentation of science, e.g., at conferences or in other relevant forums 
• has experience with sharing knowledge through an open science praxis. This will be an advantage 
• can work both independently and contribute positively to the teamwork in a research group 
• Assistant professor only: is able to conduct teaching and supervision in English or Danish. If the primary language is not Danish, the candidate is expected to learn Danish within the first few years of the employment

To be promoted to the level of ASSOCIATE PROFESSOR, the following criteria will apply:

To achieve merit at associate professor level after 4-6 years as tenure track employee, we expect that the candidate will have experience with teaching, research or innovation, and knowledge dissemination. The candidate should be able to demonstrate significant contributions within ‘research or innovation’ or ‘teaching or education’. We expect that the candidate:

• demonstrates a potential to establish an individual research profile and independent research area 
• can document significant contributions within his/her own research area or within innovation. This may be through data collection, data curation, programming, modelling, experiments, open science, development, cooperation with companies, or other activities which may result in publications, patents, receipt of external funding, or the like 
• has experience with applications for external funding as main applicant (PI) or co-applicant (co-PI) 
• has experience with national and/or international research cooperation or establishment of a network. This will be an advantage
• should independently be able to carry out teaching, exams, and quality assurance 
• has experience with presentation of science, e.g., at conferences or in other relevant forums 
• has experience with sharing knowledge through an open science praxis. This will be an advantage
• has experience with project management and teaching administration. This will be an advantage 
• has social and collegial competences the candidate able to interact with and contribute to a research group as well as the research and teaching environment at the department in a constructive manner 
• is able to conduct teaching and supervision in English or Danish. If the primary language is not Danish, the candidate is expected to learn Danish within the first few years of the employment

The following material must be submitted with the application:

• A motivated text in which the reasons for applying for the position are described. 
• A curriculum vitae
• Copies of relevant diplomas (Master of Science and PhD), pedagogical education, and continuing education (e.g., within research management). On request, you may be asked for an official English translation
• References/recommendations
• A presentation of your research area or interests and a description of your research plans (spanning 4-6 years)
• A complete list of publications must be attached and a description of work that you find most relevant 
• An overview of your teaching experiences and a description of your most relevant contributions, please see guidelines for teaching portfolio at The Technical Faculty of IT and Design, The Faculty of Engineering and Science and The Faculty of Medicine
• An overview of your knowledge dissemination activities and a description of your most relevant contributions

Qualification requirements 
Applicants for a tenure track assistant professorship must have academic qualifications at PhD level.  

When appointing tenure track assistant professors, Aalborg University also place particular emphasis on: 

• The candidate can demonstrate a high degree of autonomy in their previous education and employment path
• The candidate shows considerable potential and is among the best in their field
• The candidate has academic experience from several universities and/or research institutions and preferably international experience
• The candidate is a skilled communicator
• The candidate writes and speaks English at the academic level
• The candidate is expected to meet the criteria for permanent employment as an associate professor at Aalborg University at the end of the tenure track process

If the tenure track assistant professor fails to request that their qualifications be assessed in the last year of their period of employment or if they are assessed as not academically qualified, the university must immediately initiate dismissal proceedings in accordance with the collective agreement rules. 

You can read more about the requirements for your application here.    

The application must be submitted via Aalborg University’s recruitment system, which can be accessed under the job advertisement on Aalborg University's website.  

Aalborg University wants to reflect the surrounding society and has diversity as a core value. Therefore, everyone, regardless of personal background and orientation, is encouraged to apply for the position. 

Do you have any questions? 
If you have any questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost.     

Interviews are held, September 18, 2025 (1st round) and September 24, 2025 (2nd round).  

Further information 
Read more about our recruitment process here   

The appointment process at Aalborg University involves a shortlisting process. You can read more about the shortlisting and appointment process here.  

The hiring process at Aalborg University may include a risk assessment as a tool to identify potential risks associated with new hires, ensuring the safety, compliance, and integrity of the workplace. 

Salary and terms of employment  
The employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities (the Appointment Order) and the Ministerial Order on Job Structure for Academic Staff at Universities (in Danish) and protocol on certain terms of employment of academic staff at universities (in Danish). 

Salary and terms of employment are in accordance with the collective agreement between the Danish Confederation of Professional Associations and the state (AC collective agreement) (only in Danish) and protocol on certain terms of employment of academic staff at universities (only in Danish). 

Aalborg University - Knowledge for the world
Aalborg University is an international workplace with more than 3,700 employees. We offer real-world-oriented education and create world-class research results through collaboration between researchers, students, and public and private companies. This is how we achieve insights, new solutions to societal problems, and knowledge that changes the world. Our main campus is in Aalborg, but we also have campuses in Esbjerg and Copenhagen.

Contacts

• Lasse Riis Østergaard: +45-99408743, lasse@hst.aau.dk
• Kim Dremstrup: +4524655246, kdn@hst.aau.dk
• Louise Klem Skovgaard: +4599403031, HR-support@adm.aau.dk

Ref number

2025/322

Deadline

25.08.2025