PhD Positions in AI-Driven Drug Discovery: The Centre of Artificial Intelligence Driven Drug Discovery (AIDD) at Macao Polytechnic University (MPU) is inviting applications for PhD candidates to join their research team from September 2025. The focus is on cutting-edge research that intersects artificial intelligence and drug discovery, emphasizing structural bioinformatics projects aimed at combating bacterial resistance.
PhD Positions in AI-Driven Drug Discovery (2025/2026 Intake)
Designation
PhD Candidate in AI-Driven Drug Discovery
Research Area
- AI for Drug Discovery
- Structural Bioinformatics
- Molecular Modeling
- Target Identification
- Protein-Ligand and Protein-Peptide Binding Prediction
Location
Macao Polytechnic University, Macao
Eligibility/Qualification
| Qualification Required | Experience Required |
|---|---|
| Master’s degree in Computational Chemistry, Computational Physics, Computational Biology, Bioinformatics, or related fields | Experienced in molecular modeling and simulation |
| Knowledge of GROMACS/AMBER/NAMD, VMD/PYMOL, etc. | Comfort with Linux, scripting, and basic programming (Python, R, etc.) |
| Knowledge of machine learning and deep learning is a plus | At least one first-authored SCI journal publication |
| Excellent verbal and written English skills |
Description
The selected PhD candidates will actively participate in research projects centered on:
- Protein and peptide structure prediction
- Molecular modeling of peptides, proteins, and membranes
- Atomistic and coarse-grained simulations
- Development of physics-based AI methods
The program typically lasts 3-4 years, with successful candidates receiving various scholarship opportunities that support their studies and research work.
How to Apply
Interested candidates should send the following application materials to Shirley Siu at shirleysiu@mpu.edu.mo:
- Letter of interest
- Curriculum Vitae (CV)
- Academic transcripts
- Representative publications
Last Date to Apply
Final application deadline: 15 May 2025
This scholarship opportunity is part of an initiative to cultivate talent in the rapidly-evolving field of AI and drug discovery, particularly focusing on innovative solutions to address bacterial resistance through computational methods.
