Research Assistant (OOR/CCB/EP) - Geylang
Company description:
The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore
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.
- 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 CampusOrganization: Duke-NUS Medical School
Department : Office of Research
Employee Referral Eligible: No
Job requisition ID : 28145