Research Fellow (Machine Learning for Advanced Manufacturing)

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.