Deskripsi Pekerjaan
Nanyang Technological University (NTU) Singapore, consistently ranked among the world’s top universities, is seeking a highly motivated and innovative Research Fellow to join our prestigious College of Computing and Data Science. This is an exceptional opportunity to advance your academic career within a world-class AI research environment.
As a Research Fellow, you will collaborate with leading academics and researchers on cutting-edge projects that push the boundaries of Artificial Intelligence, Machine Learning, and Computational Science. You will have access to state-of-the-art computational infrastructure and be part of an interdisciplinary ecosystem that fosters breakthrough discoveries. We are looking for a candidate who is passionate about translating complex theoretical concepts into real-world AI applications that address global challenges.
If you are a driven researcher eager to publish in top-tier journals and contribute to high-impact research initiatives, we invite you to be part of our dynamic team at NTU Singapore.
Tanggung Jawab
- Conduct high-quality, independent, and collaborative research in Computer Science and Artificial Intelligence.
- Design, develop, and implement novel AI/ML algorithms and computational frameworks.
- Prepare and publish high-impact research papers in prestigious peer-reviewed journals and top-tier AI conferences (e.g., NeurIPS, ICML, CVPR).
- Supervise and mentor PhD and undergraduate students on research projects.
- Collaborate with international partners and industry stakeholders on sponsored research projects.
- Manage research laboratory activities, including experimental setups and data management protocols.
- Present research findings at international academic seminars and professional conferences.
Kualifikasi
- Ph.D. degree in Computer Science, Artificial Intelligence, Data Science, or a closely related field from a reputable university.
- Proven track record of high-quality research output and publications in top-tier AI/ML venues.
- Strong programming proficiency in Python, C++, or R, with expertise in frameworks such as PyTorch or TensorFlow.
- Deep theoretical and practical understanding of machine learning, deep learning, and statistical analysis.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong verbal and written communication skills to effectively collaborate and publish findings.
- Ability to work both independently and as part of a diverse, interdisciplinary team.