Summary
Chalmers University of Technology, Gothenburg, Sweden, is inviting applications for a Postdoctoral Researcher in Bioinformatics and Machine Learning (Ref. 2026-0430). The position is based in the Computational Genomics Research (CGR) Lab within the Data Science and AI division.
The successful candidate will develop computational methods and machine-learning models to investigate genome evolution, human genetic variation, pangenomics, haplotype phasing, and de novo gene evolution. Candidates may propose a project aligned with their expertise or work on one of three research directions offered by the lab.
Summary Table
| Category | Details |
|---|---|
| Position | Postdoc in Bioinformatics and Machine Learning |
| Reference | 2026-0430 |
| Institution | Chalmers University of Technology |
| Department/Division | Department of Computer Science and Engineering – Data Science and AI |
| Research Lab | Computational Genomics Research (CGR) Lab |
| Location | Gothenburg, Sweden |
| Employment Type | Full-time, temporary |
| Duration | 2 years |
| Research Areas | Bioinformatics, Computational Genomics, Machine Learning, Pangenomics, Genome Evolution |
| Programming | C++, Python, Rust, or similar |
| Minimum Publication Requirement | At least one high-quality first-author journal or top-tier conference paper |
| Application Language | English |
| Application Deadline | September 30, 2026 |
Designation
Postdoctoral Researcher – Bioinformatics and Machine Learning
Research Area
- Bioinformatics and Computational Genomics
- Machine Learning and Data Science
- Genome Evolution and Variation
- Comparative Pangenomics
- Human Genetic Variation
- Haplotype Phasing
- Sequence Analysis and Alignment
- High-Performance Computing
- Algorithm Design and Data Structures
- De novo Gene Evolution
Location
Gothenburg, Sweden
Chalmers University of Technology – Department of Computer Science and Engineering, Data Science and AI Division, Computational Genomics Research (CGR) Lab.
Eligibility/Qualification
Mandatory requirements:
- PhD/doctoral degree or an equivalent foreign degree. The degree must be obtained no later than the time of the employment decision.
- Strong written and verbal communication skills in English.
- Proficiency in at least one programming language such as C++, Python, Rust, or equivalent.
- At least one high-quality first-author publication in a journal or top-tier conference.
- Demonstrated potential for research and education.
- Some experience or familiarity with teaching is expected.
Additional experience considered advantageous:
- A doctoral degree obtained within the three years preceding the application deadline.
- Experience in algorithm design, high-performance computing, sequence indexing, and large-scale genomic data analysis.
- Knowledge of Burrows–Wheeler Transform, pattern matching, and sequence alignment.
- Experience developing machine-learning models for biological or genomic data.
Job Description
The postdoctoral researcher will conduct research at the intersection of genomics, bioinformatics, machine learning, and data science and will contribute to research on genome evolution and variation.
The candidate may develop a research project based on their own strengths or contribute to one of the following projects:
Research Project 1 – Comparative Analysis of Noncoding Genomic Regions
Develop efficient computational methods for analyzing large-scale DNA sequence data, with particular emphasis on noncoding regions of the genome. The work involves sequence indexing, efficient string and data structures, algorithm design, high-performance computing, and large-scale genomic analysis.
Research Project 2 – Machine Learning for Haplotype Phasing
Develop machine-learning models for studying genetic variation and determining how variants co-occur on paternal or maternal haplotypes. The project builds upon existing haplotype-phasing methods developed for humans and other species.
Research Project 3 – Evolution of De novo Genes
Develop computational methods to investigate how de novo genes, which originate from previously noncoding DNA, emerge and evolve in eukaryotic organisms.
Key Responsibilities
- Conduct independent and collaborative research.
- Develop computational methods and models for biological and genomic data.
- Perform research studies and publish results in international journals and conferences.
- Supervise master’s and/or PhD students to some extent.
- Potentially contribute to undergraduate and master’s-level teaching.
- Collaborate within the Computational Genomics Research Lab and broader Data Science and AI research environment.
Contract & Work Conditions
- Full-time temporary employment for 2 years.
- Physical presence in Gothenburg is required throughout the employment period.
- A valid residence permit must be available by the employment start date.
- The position includes employee benefits provided by Chalmers University of Technology.
How to Apply
Applications must be submitted online through the Chalmers recruitment system. Applications should be written in English and uploaded as PDF files. Each file must be no larger than 40 MB, and ZIP files are not supported.
Required documents:
- CV
- Motivation letter explaining:
- Your motivation for applying.
- Your previous experience and qualifications.
- How your background prepares you to contribute to one of the proposed research projects or a project aligned with your expertise.
Incomplete applications and applications submitted by email will not be considered. Reference contact details will be requested after the interview.
Apply here:
Chalmers Online Application Portal
Last Date to Apply
September 30, 2026
Contact
Sina Majidian
Assistant Professor
Chalmers University of Technology
Email: sina.majidian@chalmers.se
This position is particularly centered on the combination of computational genomics, bioinformatics, machine learning, and algorithm development, with applications to genome evolution and genetic variation.
