项目介绍

2026年7月30日

Are you passionate about science and developing and applying machine learning (ML) methodology to study the immune system and associated autoimmune disease states and mechanisms? 

Then you may be the perfect candidate for this fully funded PhD Scholarship! 

The Computational Autoimmunity group at the Technical University of Denmark, is looking for a highly motivated computational scientist with a strong foundation in bioinformatics and advanced ML. This PhD position offers the opportunity to push the boundaries of our understanding of Type 1 Diabetes (T1D) using ML driven immune modelling in a close clinical collaboration with the leading hospital in Copenhagen, Rigshospitalet. You will gain invaluable experience in augmenting and combining your technical skillset with concrete real-world application to patient data aiming to better the life of patients for the benefit of society.

Research focus, Responsibilities and Qualifications
Your focus will be on developing and applying machine learning methods to study immune mechanisms in Type 1 Diabetes. Specifically, you will investigate disease-relevant spatial organisation of immune cells in patient samples and develop computational approaches for identifying T-cell receptor (TCR) sequence and repertoire patterns associated with disease. 

The project combines large-scale public immune repertoire data with spatial transcriptomics data generated in close collaboration with Rigshospitalet. A central ambition is to bridge immune repertoire analysis and spatial transcriptomics, linking TCR-level molecular patterns with spatially resolved tissue context. The project is therefore methodologically driven, while embedded in a translational research setting with direct relevance to autoimmune disease biology.

Your primary tasks will be to:

• Develop, benchmark, and apply ML methodology for pattern recognition in immune repertoire and spatial transcriptomics data
• Integrate heterogeneous public and project-specific datasets
• Interpreting computational results in close collaboration with clinical partners
• Communice findings through scientific publications and presentations at international conferences

Required qualifications
You must have:

• A two-year Master’s degree (120 ECTS) in bioinformatics, computational biology, computer science, applied mathematics, or a closely related field
• Strong passion for science and expanding human knowledge through research to make a difference
• Strong programming skills in R and/or Python
• Experience with machine learning and statistics
• Experience working with biological sequence and omics data
• Excellent written and spoken English

You must have a two-year master’s degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master’s degree.

Even if you do not meet every requirement, we encourage you to apply if you believe your skills and experience are a strong match for the role.

Approval and Enrolment 
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU’s rules for the PhD education. 

Assessment
The assessment of the applicants will be made by an assessment committee chaired by Associate Professor Leon Eyrich Jessen, PhD, Section for Bioinformatics, Department of Health Technology, Technical University of Denmark.

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms
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 period of employment is 3 years. Starting date is as soon as possible. 

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Associate Professor Leon Eyrich Jessen at ljess@dtu.dk.

You can read more about the Section for Bioinformatics here.

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark. Furthermore, you have the option of joining our monthly free seminar “PhD relocation to Denmark and startup “Zoom” seminar” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU. 

Application procedure 
Your complete online application must be submitted no later than Monday, 31 August 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:

• A letter motivating the application (cover letter)
• Curriculum vitae 
• Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale
• Code repository (e.g., GitHub) or other documentation of programming projects, if available