
location_on26;28, Breeze Drive, Mill Street, Tatnuck Square, Worcester, Worcester County, Massachusetts, 01602, United States
The Department of Chemical Engineering at Worcester Polytechnic Institute (WPI) is seeking a highly motivated Assistant Research Professor to join our research team in Worcester. This role sits at the dynamic intersection of machine learning and kinetics, driving innovation in advanced catalytic processes.
The successful candidate will conduct cutting-edge computational research focused on developing machine learning algorithms to enhance multi-scale simulations in catalysis. This work is pivotal for advancing next-generation technologies, including plasma catalysis, field-enhanced catalysis, electrocatalysis, and materials science. Beyond technical research, the position involves leading proposal development, managing manuscript preparation and publication efforts, and mentoring graduate and undergraduate students. The role also requires maintaining and expanding the computational resources and high-performance computing workflows that support the group's ongoing research activities.
Interested candidates should submit their application materials through the WPI careers portal. The selection process typically involves a review of research proposals and publications, followed by interviews with the principal investigator and departmental faculty.
WPI is an Equal Opportunity Employer. We seek individuals from all backgrounds and experiences who will contribute to a culture of creativity, collaboration, inclusion, problem-solving, innovation, high performance, and change-making. We are committed to maintaining a campus environment free of harassment and discrimination and consider qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.
Work model: On-site
26;28, Breeze Drive, Mill Street, Tatnuck Square, Worcester, Worcester County, Massachusetts, 01602, United States
Worcester, Massachusetts
Prior experience mentoring students and a track record of scholarly publications.
Skills: Machine Learning, Graph Neural Networks, Large Language Model, Multi-Scale Simulations, High-Performance Computing.
Education: Ph.D. in Chemical Engineering, Materials Science, Computer Science, Chemistry, Physics, or a closely related field required.