We invite applications for a joint postdoc position at the Universities of Minnesota (UMN) and North Dakota (UND) on the study of MAB phases (which are atomically laminated, ternary transition metal borides) using Density Functional Theory, machine learning, and Dynamical Mean Field Theory. This position is full-time and benefitted; the appointment is for 18 months. The successful candidate will work in the research groups of Dr. Deniz Cakir ([email protected]) and Dr. Turan Birol ([email protected]).  Applicant should have a Ph.D. in physics, chemistry, and material science, and is expected to be independent, highly motivated, have very good communication skills, and must possess collaborative skills to work with experimentalists.

Minimum Requirements

• A Ph.D. in the physical sciences (Physics, Chemistry, or Materials Science)
• Experience with programming (such as Python)
• Expert knowledge of first-principles calculations using DFT (VASP is highly preferred)
• Experience in crystal structure prediction and high-throughout calculations
• Successful completion of criminal history records check

Preferred Qualifications

• Experience in the first-principles many-body approaches (especially DFT +DMFT) and machine learning
• Experience in electrochemistry (such as constructing Pourbaix diagrams) and cluster expansion are highly preferred

PLEASE APPLY FOR THIS POSITION VIA THE FOLLOWING LINK

https://campus.und.edu/human-resources/careers/job-openings.html?title=Post%20Doctorate%20Research%20Fellow%20-%20Physics%20and%20Astrophysics