We are looking for a highly motivated and dynamic computational postdoc for a 3-year position to join the Lund Group.

Our research
Our team aims to understand how ribosome specialization leads to the instalment of translational programs and how these processes are hijacked in human disease. Due to the central role of the ribosome in many biological processes, we use a broad panel of model systems, including human stem cells, neuronal cultures, and 2D and 3D cultures of human cells and patient samples.

The team is highly international, and we have a broad range of local and international collaborators. We believe that cooperation and collegiality are essential elements for research successes. You can find more information about the team and our work here: https://www.bric.ku.dk/research-groups/Research/lund_group/

The project
You will join the Lund Group focusing on ribosome heterogeneity and specialized translation. We use a broad array of wet lab and computational techniques and develop new techniques to push our research forward. We highly value collaboration and cocreation and you will have freedom to codevelop the project.

Your project will mainly focus on developing computational tools to analyse single molecule nanopore sequencing data with a focus on RNA modifications. Key methods in nanopore sequencing and computational modelling have been established in the group. The project is conducted in collaboration with the deep probabilistic programming group of Thomas Hamelryck: https://di.ku.dk/english/research/groups/machine-learning-in-biology/?pure=en/persons/271052

Profile
We are looking for a highly motivated and enthusiastic scientist with the following competencies and experience:

Essential experience and skills:

• You have a PhD in biomedical or natural sciences
• Strong foundation in bioinformatics and machine learning, including deep learning
• Experience training and running models on shared HPC clusters and remote GPU servers, including working in multi-user environments
• Familiarity with large-scale experimentation, model debugging, and resource management in clustered computing settings
• Proficient communication skills and ability to work in teams
• Excellent English skills written and spoken

Desirable experience and skills:

• Prior experience in computational biology with respect to RNA modification prediction is a plus
• Prior experience in working with protein synthesis/translation is an advantage
• Prior experience in molecular and cellular biology is an advantage

Place of employment
The place of employment is at the Biotech Research and Innovation Centre, University of Copenhagen (www.bric.ku.dk). We offer creative and stimulating working conditions in dynamic and international research environment. Our research facilities include modern laboratories and opportunities for networking and training through our Postdoc Career Program (https://www.bric.ku.dk/phd-and-postdoc-programme/postdoc-career-programme).

Terms of employment
The average weekly working hours are 37 hours per week.

The position is a fixed-term position limited to a period of 3 years. The position is available from 15 November and the start date is after agreement.

Salary, pension and other conditions of employment are set in accordance with the Agreement between the Ministry of Taxation and AC (Danish Confederation of Professional Associations) or other relevant organisation. Currently, the monthly salary starts at 40,000 DKK/approx. 5,350 EUR (August 2026 level). Depending on qualifications, a supplement may be negotiated. The employer will pay an additional 17.1 % to your pension fund.

Foreign and Danish applicants may be eligible for tax reductions, if they hold a PhD degree and have not lived in Denmark the last 10 years.

The position is covered by the Job Structure for Academic Staff at Universities 2020.

Questions
For further information please contact Anders H. Lund ([email protected]).

Foreign applicants may find this link useful: www.ism.ku.dk (International Staff Mobility).

Application procedure
Your online application must be submitted in English by clicking ‘Apply now’ below. Furthermore, your application must include the following documents/attachments – all in PDF format:

• Motivated letter of application (max. one page).
• CV incl. education, work/research experience, language skills and other skills relevant for the position.
• A certified/signed copy of a) PhD certificate and b) Master of Science certificate. If the PhD is not completed, a written statement from the supervisor will do.
• List of publications.

The further process
After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the hiring committee. All applicants are then immediately notified whether their application has been passed for assessment by an unbiased assessor. Once the assessment work has been completed each applicant has the opportunity to comment on the part of the assessment that relates to the applicant him/herself.

You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/

The applicant will be assessed according to the Ministerial Order no. 242 of 13 March 2012 on the Appointment of Academic Staff at Universities.

Interviews are expected to be held in week 41.

The University of Copenhagen wish to reflect the diversity of society and encourage all qualified candidates to apply regardless of personal background.

Københavns Universitet giver sine knap 10.000 medarbejdere muligheder for at udnytte deres talent fuldt ud i et ambitiøst, uformelt miljø. Vi sikrer traditionsrige og moderne rammer om uddannelser og fri forskning på højt internationalt niveau. Vi søger svar og løsninger på fælles problemer og gør ny viden tilgængelig og nyttig for andre.

Kontakt
Anders H. Lund
E-mail: [email protected]

Info
Ansøgningsfrist: 13-09-2026

Ansættelsesdato: 15-11-2026

Arbejdstid: Fuldtid

Afdeling/Sted: BRIC