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 Advancing AI-driven statistical genomics to unravel disease heterogeneity and improve precision medicine and is open for appointment as of 1 November 2025 or soon hereafter.
The tenure track assistant professor wil 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 Genomic Medicine research 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 genomics-guided artificial intelligence, aiming to propel precision medicine. The successful candidate is expected to be independent yet collaborative, and to conduct research at an international level developing statistical learning, deep learning, graphical models, and/or Bayesian methodologies for resolving disease heterogeneity, identifying gene-gene networks, or improving integrative genomic prediction models for common complex human diseases, with particular attention to cardiometabolic conditions.
The candidate will hold a PhD in statistics, mathematics, bioinformatics, computational biology, or statistical genetics, and should have a strong record of developing methods at the intersection of artificial intelligence and statistical genetics, with an emphasis on integrative analysis of multi-modal biomedical data. Expertise in Bayesian modelling, graphical models, multi-trait approaches, or deep learning applied to genomics is particularly desirable. Experience with applications to complex diseases, especially cardiometabolic traits, is considered a strong asset. The ideal candidate will have an excellent publication record, experience working across interdisciplinary teams, strong communication skills, and a commitment to teaching and supervision.
The Genomic Medicine group leverages large-scale genomic data to investigate phenotypic diversity in humans, with a particular focus on cardiometabolic conditions. Our mission is to advance the field of precision medicine by developing innovative statistical genetics methods, implementing state-of-the-art machine learning algorithms, and integrating artificial intelligence to uncover novel biological mechanisms. By bridging methodological innovation with biomedical application, we aim to create robust tools for disease stratification, risk prediction, and the identification of causal pathways in complex multifactorial diseases.
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
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.
INFORMATIONER OM STILLINGEN:
- Arbejdspladsen ligger i:
Aalborg Kommune
-Virksomheden tilbyder:
-Arbejdsgiver:
Aalborg Universitet, Selma Lagerløfs Vej, 9260 Gistrup
-Ansøgning:
Ansøgningsfrist: 25-08-2025;
Se mere her: https://job.jobnet.dk/CV/FindWork/Details/ad967057-0cf4-4a58-b2d8-db3dccaaf0d5
