PhD Scholarship in Drug Design: Uppsala University’s Department of Cell and Molecular Biology invites applications for a PhD position in structure-based drug design, emphasizing machine learning. This opportunity is part of the Data-Driven Life Science (DDLS) Research School and aims to advance the field of computational drug discovery. The successful candidate will join Jens Carlsson’s group, focusing on the development of AI-driven approaches to identify therapeutic ligands, particularly targeting G protein-coupled receptors.
PhD Scholarship in Structure-Based Drug Design with a Focus on Machine Learning
Summary Table
| Field | Details |
|---|---|
| Title | PhD Scholarship in Structure-Based Drug Design with a Focus on Machine Learning |
| Location | Uppsala University, Sweden |
| Study Area | Data-Driven Cell and Molecular Biology |
| Eligibility | Master’s degree in relevant fields, proficiency in English |
| Description | Develop computational methods for drug discovery using AI, focusing on protein-ligand interactions |
| How to Apply | Submit application with letter, CV, diplomas, master thesis, and references |
| Last Date | 17 June 2024 |
| Contact | Jens Carlsson, jens.carlsson@icm.uu.se, Tel: +46 (0)72 227 7976 |
Study Area
Data-driven cell and molecular biology: This research fundamentally transforms our understanding of cellular functions by examining molecular components across time and space, from single molecules to native tissue environments.
Location
Uppsala University, Uppsala, Sweden.
Eligibility/Qualification
- A master’s degree in biology, chemistry, pharmacy, physics, computer science, or a related field.
- Strong ability to work independently and collaboratively.
- Excellent written and oral English skills.
- Preferred but not required: Experience in protein modeling, protein structure prediction, computer-aided drug design, molecular docking, machine learning, and scientific programming.
Description
The PhD project aims to develop computational approaches for identifying small molecule and peptide ligands targeting therapeutically relevant receptors. The focus is on optimizing AI techniques for predicting protein and protein-ligand structures to enhance drug discovery. The project includes:
- Addressing challenges in structure-based drug design using AI.
- Applying machine learning-enhanced virtual screening to search chemical libraries.
- Collaborating with experimental groups to validate computational models.
How to Apply
Interested candidates should submit the following documents:
- A letter describing themselves, their research experience, and interest in the position (max 2 pages).
- A CV detailing education, qualifications, and relevant knowledge.
- Copies of diplomas and master thesis.
- Contact information for two references.
Submit applications to Jens Carlsson (jens.carlsson@icm.uu.se) by 17 June 2024. Please refer to UFV-PA 2024/1634 in your application.
Last Date
Applications must be submitted by 17 June 2024.
For further information, contact Jens Carlsson at jens.carlsson@icm.uu.se or Tel: +46 (0)72 227 7976.
