Postdoc in Bioinformatics and Machine Learning

Researcher at the intersection of genomics and data science in the Computational Genomics Research (CGR) Lab, Data Science and AI division.

Reference number: REF 2026-0430.

About us

CGR develops interpretable methods in comparative pangenomics using machine learning, statistics and efficient algorithms (https://CGRlab.github.io/research/).

About the research project

Open to projects based on candidate strengths, or one of: (1) comparative study of noncoding genomic regions / efficient indexing for large-scale DNA data; (2) machine learning for haplotype phasing and genetic variation; (3) methods to study how de novo genes evolve in eukaryotes.

What you will do

• Perform research and publish in conferences and journals
• Supervise master’s and/or PhD students to a certain extent
• Possibility to engage in teaching

Contract terms

Temporary full-time employment for two years. Physical presence required; valid residence permit by start date.

Application procedure

English PDFs: CV; motivation letter outlining motivation and fit to which project. Apply via the official Chalmers vacancy page.

Deadline: September 30th 2026.

Contact

Sina Majidian, Assistant Professor, sina.majidian@chalmers.se.

Mandatory

• Doctoral degree or equivalent foreign degree (met no later than employment decision)
• Strong written and verbal English
• Proficient in a programming language (C++, Python, Rust, …)
• One high-quality first-author paper (journal or top-tier conference)

Strengthening

• Doctoral degree within the last three years prior to deadline (highly meritorious)