DTU Tenure Track Assistant Professor in AI and bioinformatics DTU Food

Infectious diseases caused by bacterial viral and parasitic pathogens including those that are antimicrobial resistant constitute one of the biggest threats to human and planetary a new collaborative effort between DTU UCPH and SSI funded by the Novo Nordisk Foundation we will be developing online bioinformatic tools for analysing and sharing pathogen genomic data.

As part of this we will be creating agentic AI models and in a joint effort between the Research Group for Genomic Epidemiology at DTU National Food Institute and Section of Epidemiology Department of Health UCPH we are seeking a candidate for a vacant position as Tenure Track assistant professor in AI and machine learning to develop a novel research area within the use of agentic AI models for improved analyses of whole genome and metagenomic datasets as well as creating and improving an online infrastructure funded by the Novo Nordisk Foundation.

The Assistant professor will be affiliated with the Research Group for Genomic Epidemiology but substantially contribute to the work at the Section of Epidemiology.

The Research Group for Genomic Epidemiology at DTU National Food Institute conducts research within evolution and ecology of infectious diseases metagenomic analyses of a wide range of data and offers a broad range of online and in-house bioinformatic pipelines for analysing bacterial and viral genomes and metagenomes.

Section of Epidemiology at UCPH contributes to the development of the field of theoretical epidemiology with a specific focus on causal inference complexity and life course epidemiology. The dynamic interplay between biology environment and health across the life course and across generations are objects of research in the section.

Responsibilities and qualifications
Your main responsibility will be to develop novel or improve existing AI algorithms and conduct investigations aimed at improving our understanding of the evolution and function

of microbiomes. You will be responsible for ensuring agentic AI solutions fitting the complexity of the problem as well as matching the computational power available ranging from high performance computers to ordinary laptops.

You understand the importance of interdisciplinary and integrative research and collaboration across scientific disciplines and capable of integrating several tools from various research disciplines together to address pathogen problems in simple and complex microbial communities. You will contribute to the institute educational and teaching vision. You will be expected to either develop a new course to align with the evolving teaching vision of the group and the institute or revise already existing courses to complement such vision.

With assistance from other group members you will analyse the output draw conclusions and present the outputs.

You will communicate research results by presenting data at project meetings and international conferences and write reports and manuscripts for publication.

You will engage in the general work carried out by the two different research groups including discussions and planning of strategies and projects drafting research grant proposals etc.

You will also supervise students and contribute to the groups teaching activities.

Daily work will be in close collaboration with other researchers in the Research Group for Genomic Epidemiology as well as national and international partners.

Skills:

• Experience in developing novel algorithms.
• Experience in coding in C/C++ and preferably python.
• Experience in frontend engineering including but not limited to the React framework Javascript/HTML/CSS concurrency management.
• Experience in backend engineering including but not limited to Django flask databases (PostgresSQL/MongoDB/Redis) designing API endpoints distributed systems.
• Experience in DevOps tools including but not limited to Docker Kubernetes building CI/CD pipelines.
• Experience in language modeling research and LLMOps including but not limited to LLM serving (Ray/VLLM) quantization and sharding prompt optimization reinforcement learning Transformers/Deep-SSMs/Test-Time Regression.
• Experience with probabilistic machine learning including but not limited to Gaussian processes variational inference variational autoencoders modern MCMC methods diffusion models.
• Extensive knowledge of agentic AI systems research engineering and architectural design including but not limited to ReAct/CodeAct agents multi-agent systems self-evolving agents scalable agentic memory management.
• Extensive knowledge of existing bioinformatic algorithms and tools.
• Experience in teaching advanced and fundamental science classes for university students.
• Experience in collaborations and bringing new ideas.
• Experience in writing scientific grant applications and securing funding.

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).

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

Salary and terms of employment
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.

The position is part of DTUs Tenure Track program. Read more about the program and the recruitment processhere.

You can read more about career paths at DTUhere.

Further information
Further information may be obtained from Professor Frank Aarestrup email fmaa@

You can read more about The Research Group atGenomic Epidemiology.

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

Application procedure
Your complete online application must be submitted no later than 18 February 2026 (23:59 Danish time).

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 researchfor the tenure track period
• CV including employment history list of publications H-index and ORCID (see portfolioincluding documentation of teaching experience
• Academic Diplomas (MSc/PhD)

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 National Food Institute
DTU National Food Institute conducts research into and disseminates - through advice innovation and teaching - sustainable and value-creating solutions in the area of food and health for the benefit of society. The vision is to make a difference by generating future prosperity through research into food and health. The institute works to prevent disease and promote health develop new and better food products for a growing population and create sustainable technological solutions including biosolutions. The institutes tasks are carried out in interdisciplinary collaboration within e.g. nutrition chemistry toxicology microbiology epidemiology modelling and technology. This is achieved through a strong academic environment of international top class with correspondingly skilled researchers and employees. The Institute employs approximately 375 staff members.

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 UNs 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 has13500 students and 6000 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.