Research Fellow (Physics)

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Physics%29/33544-en_GB/?st=1962852CA372457A1EA34DB8EE43CE9139C13ACC

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Prof Yan Jie on designing and validating AI-generated binders  under a project on Advancing AI Models for Protein–Protein Interaction and Binder Design with Applications to Force-Bearing Cytoskeletal Proteins.

The main responsibilities of the position include:

1. Developing and applying AI-based methods to design or predict binders targeting key domains of mechanosensing proteins.
2. Performing single-molecule manipulation experiments to characterize how these binders modulate the mechanical properties of mechanosensing proteins.
3. Investigating the effects of the designed binders on cellular mechanosensing functions.

Qualifications

• Qualifications / Discipline:
1. Ph.D. in single-molecule biophysics or a closely related field.
2. Strong understanding of protein structure and the mechanical properties of proteins.
3. Prior experience in single-molecule force spectroscopy, protein engineering, or mechanobiology is preferred.

• Skills:
1. Hands-on experience with magnetic tweezers or related single-molecule force spectroscopy techniques.
2. Experience with molecular dynamics simulations for studying protein structure, dynamics, and mechanical properties.
3. Ability to integrate single-molecule experimental data with computational modelling to understand protein mechanosensing mechanisms.

• Experience:  
Demonstrated experience in using magnetic tweezers to perform single-molecule manipulation studies of protein domains, including the characterization of force-dependent conformational changes and mechanical stability.