Summary
Join the forefront of cancer research at Karolinska Institutet and SciLifeLab, where you will develop advanced AI models to visualize and predict cellular behaviors in cancer. This PhD position offers a unique opportunity to work in an interdisciplinary environment, contributing to precision medicine by integrating multi-omics data.
PhD Student Position in Deep Learning Modeling of Cancer, Stockholm, County of Stockholms län, Sweden
Designation
Doctoral (PhD) Student Position in Deep Learning Modeling of Cancer
| Category | Details |
|---|---|
| Research Group | Avlant Nilsson’s Research Group |
| Supervisors | Avlant Nilsson, Randall S. Johnson |
| Program | SciLifeLab and DDLS (Data-Driven Life Science) |
| Contract Type | Full-time, PhD placement |
| Salary | Monthly salary, full-time equivalent 100 |
Research Area
- Mechanistic AI models of cancer cells
- Integration of multi-omics data (metabolomics, transcriptomics, proteomics)
- Precision medicine and drug target identification
Location
Stockholm, County of Stockholms län, Sweden
Eligibility / Qualification
General Requirements:
- Master’s qualification or equivalent (240 credits, 60 of which should be advanced/second-cycle level).
- Equivalent knowledge from other educational backgrounds may also be considered.
Specific Requirements:
- Proficiency in English (equivalent to Swedish upper secondary school English B/English 6).
Skills Required:
- Strong programming skills (Python).
- Familiarity with version control (e.g., Git).
- Ability to work independently and collaboratively.
- Desirable: Background in physics, computational biology, machine learning, or applied mathematics; experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
Job Description
The PhD student will develop a unified AI model of cancer cells by integrating metabolism, signaling, and gene regulation. The project includes:
- Model development for predicting cellular states.
- In silico target discovery to predict metabolic vulnerabilities.
- Biomarker discovery for drug response correlation across cancer contexts.
How to Apply
Submit your application and supporting documents through the Varbi recruitment system. Your application should include:
- A personal letter and CV (in Swedish or English).
- Degree projects/publications, if any.
- Documentation certifying general and specific eligibility.
Last Date to Apply
May 27, 2026
