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