Job Description
Job Title:  Research Assistant (OOR/CCB/EP)
Posting Start Date:  17/03/2025
Job Description: 

Job Description

We are looking for a highly motivated and skilled Research Assistant or Research Associate to join a project that integrates classical machine learning and AI with quantum computing on graphs datasets, with applications in drug development. The selected candidate will work on a research project of Duke-NUS AI + Medical Sciences Initiative (DAISI), which serves as the School’s hub for Academic AI and Data Science. This project will be conducted t in collaboration with the Centre for Computational Biology (CCB) at Duke-NUS Medical School and the Centre for Quantum Technologies at National University of Singapore (NUS).


The selected candidate will perform a range of research activities focused on developing new AI algorithms and hybrid classic-quantum approaches for drug discovery Under the supervision of the Principal Investigator or his/her designate, the candidate’s responsibilities will include but are not limited to the following: 

  • Perform tasks and support all aspects of the research project.
  • Carry out algorithmic development and data analysis.
  • Implement state-of-the-art algorithmic improvements from recent literature in graph and geometric deep learning. 
  • Develop new geometric deep learning algorithms, from theory to experimental implementations, or adapting existing ones to problems in drug discovery.

Job Requirements

  • ⁠Bachelor’s / Master’s Degree in a related scientific area (e.g., physics, mathematics, computer science) with demonstrated hands-on experience in developing deep learning/geometric deep learning and generative AI algorithms. Candidates with higher credentials may be considered for Research Associate appointment. 
  • Experience with PyTorch, PyTorch Lightning, or equivalent deep learning frameworks.
  • Proficiency in Python coding, with exposure to bash and multiprocessing environments. 
  • Familiarity with high-performance computing (HPC) environments and GPU programming.
  • Strong teamwork skills with the ability to manage multiple priorities and thrive in a diverse work environment.

 

We regret that only shortlisted candidates will be notified. 

More Information

Location: Outram Campus

Organization: Duke-NUS Medical School

Department : Office of Research

Employee Referral Eligible: No

Job requisition ID : 28145