Position of Postdoctoral in T Cell Immunoinformatics

The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we, together with a leading external pharma company party, are seeking a highly talented and motivated Postdoc candidate within the field of Immunoinformatics and prediction of T cell immunogenicity.

HLA class II antigen presentation is fundamental to T-helper cell immunogenicity. Over the past decade, this process has been well characterized, and robust methods have been developed to predict it with high confidence. In contrast, our understanding of the principles governing T-cell immunogenicity of HLA-presented peptides remains limited.

This gap significantly restricts the utility of current antigen presentation quantification tools—both in silico and experimental—hindering early immunogenicity risk assessment during protein drug development. A deeper understanding of the mechanisms driving T-cell activation would represent a paradigm shift in biologics development. However, progress is constrained by the scarcity of high-quality, well-characterized in vitro T-cell immunogenicity data.

In this project, we will leverage expertise and technology in peptide T-cell immunogenicity with DTU’s strengths in immunoinformatics and machine learning, to address this challenge. Our work will provide novel insights into the current T-cell activation assays and datasets, and enable the development of the first predictive model for T-cell immunogenicity of HLA class II-presented peptides in the context of protein therapeutics.

If you’re looking to launch your scientific career at the intersection of bioinformatics and machine learning, this position supports a pathway toward academic excellence and research independence – whilst also offering a unique opportunity to gain hands-on experience with a global pharmaceutical leader.

Responsibilities and qualifications
The project will be conducted in the inspiring environment at the Section of Bioinformatics at DTU Health Tech as part of the IML research group led by Professor Morten Nielsen.

Your main focus will be centered on further developing the competences of the IML group within prediction of T cell immunogenicity and immunoinformatics in general. You will work with nearby bioinformatics, postdocs and PhD students working on other projects within the group and experimental immunology colleagues.

As a formal qualification, you must hold a PhD degree (or equivalent).

The successful candidate must moreover exhibit the following professional and personal qualifications:

• Strong background within machine learning learning, and immunoinformatics is a requirement
• Knowledge of the basic concepts of the cellular immune system or a background in experimental immunology is desirable
• Capability of taking personal responsibility for your work and your results
• Flexibility and a general positive attitude to changes
• Motivation by both individual and team accomplishments
• Strong communication skills in both written and verbal English

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 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 period of employment is 3 years with starting date of 1 August 2026 or as soon as possible hereafter.

You can read more about career paths at DTU here.

Further information 
Further information may be obtained from Morten Nielsen, morni@dtu.dk and at Immunoinformatics and Machine Learning (IML).

You can read more about DTU Health Tech at www.healthtech.dtu.dk/english.

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 
Your complete online application must be submitted no later than 15 June 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)
• CV
• Academic Diplomas (MSc/PhD – in English)
• List of publications

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.