Postdoctoral Fellowship in Bioinformatics, Sweden

  •  Fellowship
  •  01-Dec-2025
  •   Sweden
  • $$  2-year tax-free stipend (Full-time)

Umeå University is inviting applications for a two-year post-doctoral fellowship in Bioinformatics at the Department of Clinical Microbiology. This full-time, tax-free fellowship begins in early 2026 and offers an excellent opportunity to work within world-class research environments such as MIMS, UCMR, and the SciLifeLab DDLS program.

To be eligible for this fellowship, applicants must hold a PhD in computational biology, bioinformatics, or computer science with a focus on human gut microbiome data. Candidates should have proven experience handling large metagenome datasets, demonstrated by first-author publications, and be proficient in R and/or Python programming.

Umeå University is one of Sweden’s leading research institutions, renowned for its strong focus on innovation, interdisciplinary collaboration, and international engagement. Located in the vibrant city of Umeå, the university offers a dynamic academic environment that fosters creativity and scientific excellence. With world-class research centers such as the Laboratory for Molecular Infection Medicine Sweden (MIMS) and the Umeå Centre for Microbial Research (UCMR), it plays a pivotal role in advancing life sciences, medicine, and technology.

Umeå universitet Information

Umeå universitet Grants

Postdoctoral Fellowship in Bioinformatics, Sweden Founded in 1965, Umeå universitet (Umeå University) is a non-profit public higher education institution located in the suburban setting of the large town of Umeå (population range of 50,000-249,999 inhabitants), Vasterbotten County. This institution has also branch campuses in the following location(s): Örnsköldsvik, Skellefteå. Officially accredited and/or recognized by the Utbildningsdepartementet, Sverige (Ministry of Education and Research, Sweden), Umeå universitet (UmU) is a very large (uniRank enrollment range: 30,000-34,999 students) coeducational higher education institution. Umeå universitet (UmU) offers courses and programs leading to officially recognized higher education degrees in several areas of study. See the uniRank degree levels and areas of study matrix below for further details. This 54 years old higher-education institution has a selective admission policy based on students' past academic record and grades. International students are welcome to apply for enrollment.

Eligibility Criteria

  • Eligible Countries: Open to applicants from all nationalities

  • Acceptable Course or Subjects: The fellowship will be awarded in Bioinformatics, Computational Biology, or related disciplines offered by Umeå University.

  • Admissible Criteria: To be eligible, applicants must:

    • Hold a PhD in computational biology, bioinformatics, or computer science with a focus on human gut microbiome data.

    • Have significant experience handling large metagenome datasets (first-author publication(s) required).

    • Possess relevant experience in R and/or Python programming (e.g., metagenomic pipeline development, assembly generation).

    • Demonstrate excellent written and oral English communication skills.

    • Be able to work independently and collaboratively in an international research environment.

Offered Benefits

  • A tax-free, full-time 2-year fellowship, starting early 2026

  • Access to SciLifeLab and Wallenberg DDLS program resources and training opportunities

  • Collaboration with international experts in microbiome research

  • Integration into MIMS and UCMR, part of the Nordic EMBL Partnership for Molecular Medicine

  • Participation in an interdisciplinary and supportive research environment dedicated to high-quality data-driven life science.

Application Process

Interested candidates should submit the following documents by December 1, 2025, to

  • Letter highlighting qualifications and motivation

  • Curriculum Vitae (CV) including publication list

  • Copy of PhD certificate and other relevant exam certificates

  • Contact information of two references

Apply Here
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