Research Fellow (Computational Materials Science)

Job Description

We are seeking a highly motivated and talented Research Fellow to join our team in the development of rechargeable batteries using computational design. As part of this project, you will play a key role in designing rechargeable battery materials using phase field simulation and machine learning. 

Qualifications

• Ph.D. in Materials Science, Chemistry, Physics, or a related field.
• A deep understanding of solid-state physics/chemistry and general physical chemistry. 
• Knowledge of rechargeable battery and electrochemistry. 
• Experience with phase field simulation for rechargeable battery materials.
• Experience and skills in scientific programming (e.g. Python or C/C++) and data analysis, including experience with UNIX/Linux operating systems and command-line environments (e.g. Bash). 
• Experience in machine learning & deep learning, database, and good understanding of high-performance computing hardware is a plus.
• A track record of publishing papers in decent scientific journals and excellent writing & presentation skills.
• Able to collaborate with experimentalist and work with other team members.
   

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Materials Science and Engineering

Employee Referral Eligible: No

Job requisition ID : 26502