Associate Professor in Artificial Intelligence Bioinformatics

If you are in your early career as a Bioinformatics researcher and you are seeking the best possible foundation to establish your own group in the academic world, the opportunity is right here in front of you.

At the Bioinformatics Section at the Department of Health Technology (DTU Health Tech) you will be at the cutting edge, exploring new frontiers in the field of bioinformatics.

The Bioinformatics section has its main research and teaching activities in areas related to bio-medical and bio-technological informatics, immunoinformatics, cancer bioinformatics, metagenomics, phylogeny, integrative systems biology, and machine learning. Our research is focused on analyses of data generated within the biological, biomedical, biotechnological and life sciences areas. The section has extended international and national collaborations including industrial and clinical partners. The section has played a key role in developing the field of health bioinformatics.

You will have a strong record within the development of deep learning tools applied to different types of genomic data, proteomics, expression data, immune profiling, metabolomics data, or general health data.

You will have a proven track record of applying deep learning to bioinformatics challenges in areas including, but not limited to:

• Integration of multi-omics and health data
• Microbiome, metagenomics and host interaction
• Neuroinformatics
• Protein sequence analysis
• Single cell analysis
• Protein structure prediction
• Cancer multiomics analysis
• Genotype to phenotype mapping

You are expected to contribute to strengthen the deep learning focus of the department by contributing to teaching and positioning through front line research and innovation within the field. In particular, the candidate would have demonstrated capability of attracting grants.

A strong ability to work in close collaboration with experimentalists and clinicians will also be critical. In addition, familiarity with projects for software development for bioinformatics will be highly beneficial.

Your overall focus will be to strengthen the department’s competences within Bioinformatics. You will work with close colleagues, and with both academic and industrial partners in Denmark as well as abroad. Your primary tasks will be to:

• Carry out research in the development of methods.
• Develop teaching in the area of using AI and bioinformatics within health technology.
• Teach and supervise BSc and MSc student projects, and be co-supervisor for PhD students

You are expected to have 2-4 years of experience as an assistant professor in research in bioinformatics and AI related to health.

You must be responsible for the teaching of courses. DTU employs two working languages: Danish and English. You are expected to be fluent in at least one of these languages, and in time are expected to master both.

As formal qualification you must hold a PhD degree (or equivalent) as well as academic qualifications equivalent to those obtained by holding an assistant professorship and documented didactic/pedagogic training.

You will be assessed against the responsibilities and qualifications stated above and the following general criteria:

• Experience and quality of teaching
• Research experience
• Research vision and potential
• International impact and experience
• Societal impact
• Innovativeness, including commercialization and collaboration with industry
• Leadership, collaboration, and interdisciplinary skills
• Communication skills

The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.

Starting date is 1 May 2026 (or according to mutual agreement). The position is a full-time position.

You can read more about career paths at DTU here .

Further information
Further information may be obtained from Professor Ole Lund, DTU Health Tech, olund@dtu.dk .

You can read more about DTU Heath Tech at www.healthtech.dtu.dk

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark .

Application procedure
Please submit your online application no later than 15 February 2026 (23:59 Danish time).

Apply online here: Associate Professor in Artificial Intelligence Bioinformatics

Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

• Application (cover letter)
• Vision for teaching and research
• CV including employment history, list of publications indicating scientific highlights, H-index and ORCID (see http://orcid.org/ )
• Teaching portfolio including documentation of teaching experience
• Academic Diplomas (MSc/PhD)

You can learn more about the recruitment process

.

Applications received after the deadline will not be considered.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position.

DTU Health Tech
With a vision to improve health and quality of life through technology, DTU Health Tech engages in research, education, and innovation based on technical and natural science. We educate tomorrow’s health tech engineers and create the foundation for new and innovative services and technologies for the globally expanding healthcare sector with its demands for the most advanced technological solutions. DTU Health Tech’s expertise can be described through five overall research areas: Diagnostic Imaging, Digital Health, Personalised Therapy, Precision Diagnostics, and Sensory and Neural Technology. Our technologies and solutions are developed with the aim of benefiting people and creating value for society. The department has a scientific staff of about 210 persons, 140 PhD Students, and a technical/administrative support staff of about 100 persons of which a large majority contributes to our research infrastructure and related commercial activities.

Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.