Postdoctoral Fellow in Mathematics

Stockholm University

Sweden

Institution: Stockholm University, Department of Mathematics
Location: Stockholm, Stockholms län, Sweden
Type of Employment: Full-time, temporary (2–3 years, with possible extension)
Reference Number: SU FV-0775-26
Start Date: 1 June 2026 (or as agreed)
Application Deadline: 22 April 2026
Contact: Kristoffer Sahlin, +46 8 164533, ksahlin@math.su.se

About the Department

The Department of Mathematics at Stockholm University comprises ~120 staff, organized into three divisions: Mathematics, Mathematical Statistics, and Computational Mathematics. The department conducts research and education at undergraduate and doctoral levels and is located on the Albano campus with modern facilities and library resources.

The Division of Computational Mathematics focuses on mathematical modelling and computational methods for studying complex systems, ranging from molecular structures to climate dynamics. Current research areas include:

Program logic and theorem proving
Computational biology and genomics
Numerical analysis of PDEs (e.g., ice and ocean dynamics)
Computational statistics and machine learning
Algorithm design and discrete mathematics

More information: Department of Mathematics

Project Description

The position focuses on algorithms for large-scale sequence analysis and computational genomics. The candidate will have flexibility to shape research directions, complementing ongoing projects such as:

Structural variation detection
Long-read RNA-seq processing
Read mapping applications in metagenomics

Applicants are encouraged to propose research ideas that extend or complement the current work.

Main Responsibilities

Design and implement algorithms for computational genomics
Develop and maintain high-performance software tools
Analyze simulated and real biological data
Collaborate across computational and biological research teams
Acquire sufficient molecular biology knowledge to work effectively in an interdisciplinary environment

Qualification Requirements

Swedish doctoral degree or equivalent from another country, completed by the employment start date
Strong background in computer science, mathematics, statistics, or bioinformatics
Strong programming skills (Python, C/C++, or similar)
Previous experience with biological sequencing data is an advantage

Assessment criteria:

Research skills and relevance of scientific background
Doctoral degree obtained within 3 years prior to application is an advantage (older degrees considered under special circumstances, e.g., parental leave, sick leave)