A fully funded graduate student position at PhD level is available at the Stevens Institute of Technology for a project on Thermal Transport, Radiation Heat Transfer, and Energy and sustainability. The project is part of an effort at Energy Control and Optimization (ECOLab) (stevens.edu/ecolab) at Stevens.
MSc. degree in Mechanical Engineering
Background in Machine Learning and deep neural networks
Background in Computational Heat transfer especially Radiation Heat transfer
Experience with Python coding
At least one publication in English in the area of Computational Heat transfer
The position is available immediately for Spring 2024 and Fall 2024. Candidates should send their CV with a list of publications and three references in a single email to the PI at firstname.lastname@example.org
Stevens Institute of Technology is an Equal Opportunity Employer. Accordingly, Stevens adheres to an employment policy that prohibits discriminatory practices or harassment against candidates or employees based on legally impermissible factor(s) including, but not necessarily limited to, race, color, religion, creed, sex, national origin, nationality, citizenship status, age, ancestry, marital or domestic partnership or civil union status, familial status, affectional or sexual orientation, gender identity or expression, atypical cellular or blood trait, genetic information, pregnancy or pregnancy-related medical conditions, disability, or any protected military or veteran status.
Stevens is building a diverse faculty, staff, and student body and strongly encourages applications from people of all backgrounds. Stevens is a federal contractor under the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and the Rehabilitation Act of 1973, as well as other federal statutes.
Please reference AcademicKeys.com in your cover letter when
applying for or inquiring about this job announcement.