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Computational Postdoc in Ribosome Specialization, University of Copenhagen, Denmark

The University of Copenhagen has four campus areas. As distances in Copenhagen are relatively small, it is easy to get from one campus to the other either by bicycle or public transportation. The campus areas are integrated into the city of Copenhagen and students use the facilities available in the city, adding a lively buzz to the streets and cafés of Copenhagen.

Computational Postdoc in Ribosome Specialization: The Biotech Research and Innovation Centre at the University of Copenhagen is seeking a highly motivated and dynamic computational postdoc for a 3-year position in the Lund Group. The focus is on understanding ribosome specialization and its implications in human disease, using varied model systems.

Designation

Computational Postdoctoral Researcher


Job Details

AttributeDetails
Research AreaRibosome specialization and specialized translation
LocationBiotech Research and Innovation Centre, University of Copenhagen
Eligibility/QualificationPhD in biomedical or natural sciences
Job DescriptionDevelopment of computational tools for analyzing nanopore sequencing data with a focus on RNA modifications
How to ApplySubmit your application online, including a motivated letter, CV, PhD and Master’s certificates, and a list of publications
Last Date to Apply4 March 2026, 23:59 CET

Research Area

The focus is on ribosome heterogeneity and the mechanisms behind specialized translation processes, particularly how these are manipulated in the context of disease. The research employs a variety of experimental models and computational strategies.

Eligibility/Qualification

  • Essential Skills and Experience:
  • PhD in biomedical or natural sciences
  • Strong background in deep learning and probabilistic models (e.g., Variational Autoencoders, Bayesian approaches)
  • Proficient in Python programming for machine learning and scientific computing
  • Hands-on experience with PyTorch, including GPU-accelerated model training
  • Experience with HPC clusters and remote GPU servers
  • Strong communication skills with the ability to work in teams
  • Excellent written and spoken English
  • Desirable Skills:
  • Experience in computational biology, particularly RNA modification prediction
  • Knowledge of protein synthesis/translation
  • Experience in molecular and cellular biology

Job Description

The successful candidate will collaborate with the deep probabilistic programming group and contribute to the development of computational tools to analyze single-molecule nanopore sequencing data. The position emphasizes co-creation and collaboration, allowing freedom to co-develop the project.

How to Apply

Interested candidates should submit their application online by including:

  1. Motivated letter of application (max. one page)
  2. CV, including education, work/research experience, language skills, and other relevant abilities
  3. A certified/signed copy of:
  • PhD certificate
  • Master of Science certificate (if PhD not completed, a written statement from the supervisor is acceptable)
  1. A list of publications

Last Date to Apply

Applications must be submitted by 4 March 2026, 23:59 CET.


For further information, please contact Anders H. Lund at anders.lund@bric.ku.dk. Foreign applicants may find additional resources at www.ism.ku.dk.

Link

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