NTU MSE is looking for a highly motivated candidate to join us as a Research Fellow to facilitate the research program in machine learning-guided advanced manufacturing funded by Singapore's National Research Foundation and led by Nanyang Assistant Professor Yi-Sheng (Eason) Chen, the PI and a new MSE faculty member.
Key Responsibilities:
- Support the delivery of project goals
- Conduct high-quality research and disseminate outcomes in peer-reviewed journals and academic conferences
- Participate in supervising undergraduate and postgraduate researchers
- Collaborate with local/overseas research groups
- Establish one or more independent research programmes under the guidance of PI and other senior mentors
- Develop competitive funding proposals in collaboration with PI and other senior colleagues
- Engage in teaching undergraduate and graduate courses and contribute to curriculum development and pedagogical innovation
- Contribute to the development of international and local research communities
- Support the operation of PI's research group, including recuitment and external engagement
- Engage in developing and mainting a safe and inclusive work environment
Job Requirements:
- PhD in Materials Science or fields relating to data processing
- Good knowledge and experience in the application of machine learning in metallurgy
- Good skills in programming, including Python, R, and/or C/C++
- Strong background in statistical analyses and related code development
- Good skills in working independently and communicating as a part of a team
- Good attitude in relevant training and professional development opportunities to enhance skills and knowledge
We regret that only shortlisted candidates will be notified.
