Assistant Professor of Advanced Materials

Rice University • Houston, TX

1d • Onsite

About The Position

The Rice Advanced Materials Institute (RAMI) at Rice University, located in Houston, TX, seeks applications for a tenure-track Assistant Professor position in the area of advanced computational and/or applied artificial intelligence (AI)/machine learning (ML)-informed materials research. RAMI, working in conjunction with the Schools of Engineering and Computing and Natural Sciences and the Departments therein, seeks applicants from diverse backgrounds for potential tenure-track faculty positions in Departments to be determined by the best natural fit and input of the candidate. We seek outstanding candidates with research interests in theoretical, computational, modeling, and/or simulation of materials science (and related fields) and the application of advanced AI and ML approaches to accelerate, improve, or revolutionize the same. Research spanning all aspects of materials, including soft/hard matter, inorganic/organic materials, etc. is welcomed, as long as that research maps significantly to one or more of the RAMI core research areas: Next-generation Electronics/Photonics, Energy Materials (Systems), and Materials for the Environment. This effort is being initiated through RAMI, a campus-wide institute with the goal of expanding Rice’s already strong efforts in materials research across many departments in science and engineering. The selected candidate will be expected to teach and develop undergraduate and graduate courses within their expertise and a home department; perform high-quality research in their specialized area and present findings from their research in peer-reviewed publications and conferences; establish a strong research program supported by extramural funding; be involved in service to the university and broader scientific community; and collaborate with faculty in diverse disciplines. The successful candidate will have a strong commitment to teaching, advising, and mentoring undergraduate and graduate students from diverse backgrounds.

Requirements

• Ph.D. degree in a field closely related to materials science conferred by July 1, 2027
• Excellence in scholarship
• Excellence in teaching
• Excellence in collegial service

Nice To Haves

• Research interests in theoretical, computational, modeling, and/or simulation of materials science (and related fields)
• Application of advanced AI and ML approaches to accelerate, improve, or revolutionize materials science
• Research spanning all aspects of materials, including soft/hard matter, inorganic/organic materials, etc.
• Research that maps significantly to one or more of the RAMI core research areas: Next-generation Electronics/Photonics, Energy Materials (Systems), and Materials for the Environment

Responsibilities

• Teach and develop undergraduate and graduate courses within their expertise and a home department
• Perform high-quality research in their specialized area and present findings from their research in peer-reviewed publications and conferences
• Establish a strong research program supported by extramural funding
• Be involved in service to the university and broader scientific community
• Collaborate with faculty in diverse disciplines
• Commitment to teaching, advising, and mentoring undergraduate and graduate students from diverse backgrounds

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree