Postdocs:
We are looking for postdocs to work with us on developing atomistic modeling methods and applying them to study energy and electronic materials and processes. Candidates should have experience in one of the following research areas:
(1) development of machine learning models especially force fields;
(2) carrier transport/dynamics;
(3) quantum embedding/computing for computational materials, and computational materials for quantum computing/information.
Interested applicants should email the principal investigator, Dr. Yuanyue Liu, at yuanyue.liu@austin.utexas.edu, with the subject line ‘Postdoc Application with Experience x’ (replace ‘x’ with the corresponding number from the list above). The position will remain open until filled.
PhD Students
We are looking for students who are interested in pursuing doctoral study in computational materials science at UT Austin. Candidates with strong background in physics, chemistry, or materials science are particularly encouraged to apply. The applications can be submitted through:
https://tmi.utexas.edu/academics/graduate-program
Please mention my name in the application. Interviews will begin in late February for those who have completed the application.
GRE is NOT required.
About Our Group and UT Austin:
Our group develops atomistic modeling methods and computer codes, and applies them to study energy and electronic materials and processes, with a particular interest in heterogeneous electrocatalysis and electron transport. More information about our research can be found at https://sites.utexas.edu/yuanyue-liu/research/
UT Austin ranks 7th among graduate engineering programs and is the 9th best public university in the United States. It is also one of the top 10 universities nationwide that produce the most professors. As the capital of Texas, Austin is known as ‘Silicon Hills,’ home to many high-tech companies that offer students abundant opportunities to connect academics with real-world applications.