Scientist, CFAR, IHPC

ABOUT A*STAR AND CFAR

At A*STAR, we make it our mission to attract and develop a diversity of talent along the research, innovation, and enterprise value chain, with career paths developed for scientists, engineers, and entrepreneurs. In return, we commit to investing in the personal and professional growth of each of our officers.

CFAR has a team of exemplary AI researchers committed to solve most exciting problems in the future AI, including IEEE fellows, chairs, scholars, and advisors among some of the most highly cited researchers in the world. Our AI Centre provides a unique research environment for fundamental AI research and cultivate next-gen AI scientists. If you share our interests in solving challenging engineering problems, we welcome you to apply.

JOB DESCRIPTION
CFAR, A*STAR is looking for an innovative researcher to join the research team of Prof. Ong Yew-Soon (Chief AI Scientist of A*STAR and President Chair Professor of NTU). The candidate will focus on the research and development of cutting-edge AI technologies and downstream applications. As a key member of the research team, the candidate will contribute to advancing one of the following fields, including generative AI, optimization, and domain-specific AI applications. The candidate will collaborate with other research scientists and engineers to deliver state-of-the-art AI technologies that can revolutionize human digital lives and scientific research driven by AI.

Successful candidates will be responsible, but not limited to:

Design and develop novel and robust learning models to solve real-world problems Establish reliable frameworks to benchmark newly developed and existing AI technologies Work with senior scientists to deliver outstanding research outcomes Publish research outcomes in prestigious conferences and journals

JOB REQUIREMENTS

PhD Degree in computer science, applied statistics, applied mathematics, computer engineering, or other related fields Solid research experience in one or more areas of AI, such as deep learning, generative learning, multi-modal learning, graph-based learning, and evolutionary computation Strong publication records in prestigious conferences and journals, such as TPAMI, AI, JMLR, TEVC, TKDE, TCYB, NeurIPS, ICML, ICLR, AAAI, IJCAI, CVPR, and KDD. Strong problem-solving and analytical skills Strong communication and presentation skills Ability to work independently and collaborate with other team members

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