PhD Studentship in Bioinformatics: A fully funded PhD studentship is available in Bioinformatics at the prestigious Science for Life Laboratory in Stockholm, Sweden. The position is part of an interdisciplinary research project focused on developing robust AI methods to infer complex gene regulatory networks (GRNs) using biology-informed simulations and machine learning. The project is supervised by Professor Erik Sonnhammer and combines cutting-edge approaches from bioinformatics, systems biology, AI, and mathematics.
PhD Studentship in Bioinformatics – Biology-informed Robust AI Methods for Inferring Complex Gene Regulatory Networks
🎓 Designation
PhD Student (Doctoral Studentship)
🔬 Research Area
- Bioinformatics
- Gene Regulatory Networks
- Artificial Intelligence / Machine Learning
- Systems Biology
- Topological Data Analysis
- Computational Biology
📍 Location
Science for Life Laboratory, Stockholm, Sweden
(A joint center for Stockholm University, KTH, and Karolinska Institutet)
✅ Eligibility / Qualification
Applicants must meet one of the following profiles:
- M.Sc. in Bioinformatics or a related field with knowledge of molecular biology.
OR - M.Sc. in Molecular Biology or a related field with at least one year of documented experience in bioinformatics research and programming.
Essential Skills:
- Strong programming skills in Python, Matlab, and R
- Good working knowledge of UNIX systems
- Experience in omics data analysis techniques
🧪 Job Description
The successful candidate will be part of a dynamic research group tackling challenges in the GRN field. Key responsibilities include:
- Simulating realistic biological networks and data
- Developing AI/GenAI-based methods for improving the biological realism of simulations
- Inference of GRNs from noisy gene expression data using deep learning
- Creating a digital biological system for generating labeled data via biology-informed DNNs and GenAI
- Implementing a semi-supervised learning approach that integrates real and simulated data
This foundational research will contribute to a deeper understanding of gene dysregulation mechanisms linked to diseases such as cancer.
📨 How to Apply
Send the following application materials:
- CV
- Cover letter
- Email addresses of two references
Submit your application via email to:
📧 Erik.Sonnhammer@scilifelab.se
For further inquiries, you may contact:
📞 +46-(0)70-5586395
🌐 http://sonnhammer.org
📅 Last Date to Apply
13 May 2025
