Job Description:
Computational Materails Research is an interdisciplinary area of research that involves different areas of expertise such as materials science, physics, mathematics and computational science. Therefore, a strong background in materials science, physics and mathematics is required in order to join our group and prior experience in computational work is encouraged.
Ph.D. Positions
A fully funded Ph.D. position is available for Fall 2023 in Computational Materials Research Lab (CMRL). Candidates with good academic credentials and an interest in working on computational research projects are encouraged to apply. The ideal candidate should have a master’s degree in materials science, physics, chemistry, engineering, or related fields with a good background in Materials Science, Solid State Physics, and Computational Science. A good background in high-level programming and high-performance computing (HPC) is a huge advantage.
The primary research focus will be on understanding the kinetics and thermodynamics of solids by developing quantum mechanical (ab initio), atomistic modeling, and machine learning techniques. In our group, you will have plenty of learning opportunities, from developing novel computational frameworks and numerical toolkits to a fundamental understanding of materials systems. As a Ph.D. student, you will be involved in various research tasks including critical thinking, rigorous analysis, and scientific writing. Also, you will have opportunities to collaborate with experimental and theoretical research groups at UIC, Northwestern University, Brown University, and materials research groups at NASA.
If you are interested, do not hesitate to contact me at sarakad@uic.edu with a detailed CV and your academic transcripts. Please briefly express your reasoning for why you are interested in joining our group. |
