Nanyang Technological University, Singapore (NTU Singapore) invites applications for a Research Fellow position at the intersection of Artificial Intelligence, Computational Biology, and Bioinformatics. Hosted jointly by NTU’s College of Computing and Data Science (CCDS) and the Lee Kong Chian (LKC) School of Medicine, this research initiative aims to build revolutionary AI frameworks for RNA therapeutics and computational drug discovery.
Position Overview
| Designation | Research Fellow |
|---|---|
| Hiring Institution | Nanyang Technological University (NTU Singapore) |
| Academic Units | College of Computing and Data Science (CCDS) & LKC School of Medicine |
| Research Area | Artificial Intelligence, Computational Biology, RNA Therapeutics, Bioinformatics |
| Location | NTU Main Campus, Singapore |
| Application Deadline | Applications reviewed on a rolling basis (Open until filled) |
Research Area & Project Scope
The successful candidate will join an interdisciplinary team pioneering cutting-edge research at the crossroads of deep learning and RNA-based medicine. By bridging machine learning algorithms with high-throughput biological data, the fellow will work closely with bioinformaticians, clinical researchers, and experimental wet-lab scientists to design predictive models for next-generation RNA therapies.
Eligibility & Minimum Qualifications
Candidates must meet the following criteria to be considered:
- Education: A Ph.D. degree in Computer Science, Artificial Intelligence, Computational Biology, Bioinformatics, or an equivalent quantitative discipline.
- Technical Skills: Demonstrated expertise in machine learning and deep learning architectures, with hands-on proficiency in frameworks such as PyTorch, JAX, or TensorFlow.
- Domain Experience: Prior exposure to biological sequence analysis, generative AI models, structural bioinformatics, or computational drug discovery is highly desirable.
- Soft Skills: Strong analytical mindset, excellent scientific communication skills, and the capacity to work efficiently in a fast-paced, collaborative interdisciplinary environment.
Job Description & Key Responsibilities
As a Research Fellow, you will play a central role in driving technical breakthroughs and scientific dissemination. Core tasks include:
- Designing, implementing, and deploying state-of-the-art deep learning architectures for RNA sequence design, 3D structure prediction, and biological property optimization.
- Curating, cleaning, and modeling large-scale genomics, transcriptomics, and high-throughput experimental screening datasets.
- Partnering closely with wet-lab biologists and medical clinicians to experimentally validate computational predictions and iteratively refine models.
- Staying abreast of the latest developments in AI4Science, producing first-author manuscripts for top-tier AI venues (e.g., NeurIPS, ICML, ICLR) and high-impact biomedical journals.
- Presenting research outcomes and strategic milestones to academic, clinical, and industrial stakeholders.
Last Date for Apply
Open until filled. Interested candidates are strongly encouraged to submit their credentials promptly, as applications are screened and processed on a rolling basis.
How to Apply
Eligible candidates should submit their application online through the NTU Workday career portal. Please ensure you prepare an up-to-date Curriculum Vitae (CV), a cover letter highlighting your relevant technical experience, and contact details of references.
Note: Only shortlisted candidates will be notified by the university’s hiring committee.
