PhD Student Position in Bioinformatics: The Department of Biochemistry and Biophysics at Stockholm University invites applications for a PhD student position focused on machine learning applications in bioinformatics. The project aims to explore how machine learning strategies can be tailored to study complex biological processes related to genomic sequences.
Designation
PhD Student in Bioinformatics
Table of Contents
| Section | Details |
|---|---|
| Research Area | Bioinformatics, Machine Learning, Computational Microscopy |
| Location | Stockholm, Sweden |
| Eligibility/Qualification | Second-cycle degree or equivalent knowledge; relevant credits in Life Science or Computer Science/Mathematics/Physics. |
| Description | Conduct research on machine learning methods for analyzing DNA sequence-related genomic processes. |
| How to Apply | Submit a personal letter, CV, and required attachments through Stockholm University’s recruitment system. |
| Last Date to Apply | February 21, 2025, 11:59 PM CET |
Research Area
The research will involve the intersection of machine learning and bioinformatics, focusing on challenges like generative AI and interpretable ML to analyze data derived from advanced microscopy and DNA sequencing techniques.
Location
Stockholm University, specifically within the Computational Microscopy for Cell Biology (CMCB) lab at SciLifeLab, Stockholm, Sweden.
Eligibility/Qualification
The candidate must meet the following requirements:
- General Entry Requirements: Completed a second-cycle degree or equivalent (240 higher education credits, including 60 credits at the second cycle level).
- Specific Entry Requirements: At least 90 credits in relevant subjects from the first and second cycles (Chemistry, Molecular Biology, Biotechnology, Computer Science, Mathematics, or Physics) and a Master’s level project in a related field.
Description
The selected PhD candidate will engage in high-impact research that combines machine learning with applications in life sciences, particularly focusing on the influence of DNA sequences on genomic processes. Experience in machine learning implementation is essential, with additional interest in interpretable ML or generative AI being a plus. The candidate will work alongside a team of engineers, physicists, and mathematicians at a leading science hub.
How to Apply
Interested candidates must:
- Submit a personal letter detailing their motivation for the position.
- Provide a CV that highlights relevant experiences.
- Include any requested attachments in accordance with the application guidelines provided in the job advertisement.
- Apply through the Stockholm University’s recruitment system.
Last Date to Apply
February 21, 2025, by 11:59 PM CET
For further inquiries, contact:
Juliette Griffié, project leader: juliette.griffie@dbb.su.se
Andreas Barth, Director of Doctoral Studies: andreas.barth@dbb.su.se
This scholarship opportunity represents a significant chance for dedicated candidates to contribute to cutting-edge research in bioinformatics and machine learning at a prestigious institution.
