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Post doctoral fellow

Worcester
Worcester Polytechnic Institute
Posted: 4 July
Offer description

JOB TITLE

Post Doctoral Fellow

LOCATION

Worcester

DEPARTMENT NAME

Chemical Engineering - NFR JM

DIVISION NAME

Worcester Polytechnic Institute - WPI

JOB DESCRIPTION SUMMARY

We are seeking a highly motivated and qualified Postdoctoral 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 plasma, electrocatalytic, microwave, and field-induced reactor systems. 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.

JOB DESCRIPTION

Key Responsibilities

1. Develop multi-physics simulation frameworks for complex reactor systems, including plasma, microwave, electrocatalytic, and field-enhanced reactors.
2. Design and implement generalizable machine learning algorithms (e.g., graph neural networks) to couple transport and kinetics.
3. Construct microkinetic models using machine-learning-derived energetics and apply active learning to automate process optimization.
4. Conduct thorough literature reviews and contribute to the preparation of manuscripts and research proposals.
5. Present research findings at meetings and conferences, and assist in supervising and mentoring graduate students.
6. Perform additional related duties as assigned by the principal investigator.

Qualifications and Requirements

Education:

7. Ph.D. in Chemical Engineering, Materials Science, Computer Science, Chemistry, Physics, or a closely related field.

Skills and Experience:

8. Strong background in multi-physics simulations related to plasma, electrocatalysis, or microwave systems.
9. Proficiency in machine learning techniques, particularly in scientific applications.
10. Demonstrated ability to work independently as well as collaboratively within a multidisciplinary team.
11. Prior experience mentoring students and a track record of scholarly publications is desirable.

FLSA STATUS

United States of America (Exempt)

WPI is an Equal Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. It seeks individuals from all backgrounds and experiences who will contribute to a culture of creativity, collaboration, inclusion, problem solving, innovation, high performance, and change making. It is committed to maintaining a campus environment free of harassment and discrimination.

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