job description
Join Nanyang Technological University (NTU), a globally recognized leader in innovation and research, as a Research Associate in Computer Science/Engineering. This is a unique opportunity to contribute to cutting-edge AI research alongside world-renowned faculty in NTU’s prestigious College of Computing.
As part of our dynamic team, you will work on groundbreaking projects in machine learning, deep learning, natural language processing, and computer vision, pushing the boundaries of technology to solve real-world challenges. NTU offers a collaborative, interdisciplinary environment where your work will have a tangible impact on academia and industry.
Based in Singapore, a global hub for technology and innovation, you’ll enjoy access to state-of-the-art facilities, competitive compensation, and the chance to network with top-tier researchers and industry leaders.
Responsibility
- Conduct advanced research in AI, machine learning, or related fields under the guidance of senior faculty.
- Develop and implement algorithms, models, and computational frameworks for cutting-edge research projects.
- Collaborate with cross-functional teams, including data scientists, engineers, and academics, to drive innovation.
- Publish research findings in high-impact journals and conferences.
- Assist in grant writing and securing funding for research initiatives.
- Mentor junior researchers and students in AI/ML methodologies and best practices.
- Stay abreast of the latest advancements in computer science, engineering, and AI to inform research directions.
- Present research outcomes at international conferences and workshops.
Qualifications
- PhD or Master’s degree in Computer Science, Engineering, AI, or a related field.
- Proven experience in AI/ML research, with a strong publication record in peer-reviewed venues.
- Proficiency in Python, TensorFlow, PyTorch, or similar frameworks for AI development.
- Strong background in mathematics, statistics, or computational theory as applied to AI.
- Experience with large-scale data processing, NLP, or computer vision is a plus.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and collaboratively in a fast-paced research environment.
- Familiarity with cloud computing (AWS, GCP) or high-performance computing is advantageous.