Post-Doctoral Fellow

Worcester Polytechnic Institute • Worcester, MA

23h • $54,000

About The Position

We are seeking a highly motivated and qualified Post-Doctoral Fellow to join the Department of Chemical Engineering at WPI. The successful candidate will conduct cutting-edge computational research aimed at developing machine learning algorithms to enhance multi-physics simulations in catalysis. This work will contribute to next-generation technologies involving electrocatalysis and material science. The position offers an exciting opportunity to work at the intersection of machine learning, kinetics, and transport phenomena in advanced catalytic processes. The initial appointment is for 12 months, with potential for renewal based on performance and funding availability.

Requirements

• Ph.D. in Chemical Engineering, Materials Science, Computer Science, Chemistry, Physics, or a closely related field.
• Strong background in multi-scale simulations related to multi-scale simulation.
• Proficiency in machine learning techniques, particularly in scientific applications.
• Demonstrated ability to work independently as well as collaboratively within a multidisciplinary team.

Nice To Haves

• Prior experience mentoring students and a track record of scholarly publications is desirable.

Responsibilities

• Develop multi-scale simulation frameworks for complex electrochemical reactor systems.
• Design and implement generalizable machine learning algorithms (e.g., graph neural networks) to couple transport and kinetics.
• Conduct thorough literature reviews and contribute to the preparation of manuscripts and research proposals.
• Present research findings at meetings and conferences, and assist in supervising and mentoring graduate students.
• Perform additional related duties as assigned by the principal investigator.

Benefits

• WPI offers competitive and comprehensive employee benefit programs, including paid time off, health insurance, life and long-term disability insurance, retirement savings plans, tuition assistance, flexible spending accounts, and a working environment that prioritizes mental health and well-being.

What This Job Offers

• Career Level: Entry Level
• Education Level: Ph.D. or professional degree