A four-year Ph.D. position is now open for application at the Computational Materials Group, Auburn University (AL, USA). The research requires the application of first-principles-based simulations and machine-learning methods to understand electrochemical processes at the atomic scale and accelerate the discovery of novel 2D materials.

Preferred qualification: B.S. or M.S. degree in Physics, Chemistry, Materials Science, or related field, good communication and writing skills (TOEFL iBT > 80), basic programming/scripting skills, and an experience in computational chemistry/physics are required. Some familiarity with machine learning methods, high GPA, and demonstrated record of research productivity is an advantage.

Starting date: January or May 2024. Application review will begin immediately. The student will receive full financial support, including tuition and living costs.

About our group: Dr. Konstantin Klyukin is an Assistant Professor at Auburn University. Our group seeks to solve fundamental problems in materials science by applying computational methods and atomistic simulations (i.e., density functional theory, molecular dynamics, Monte-Carlo simulations, high-throughput screening, and data analytics models.). The current research interests are focused on electrochemical interfaces, 2D materials, and electronics. More information at https://www.klyukin.org/.

Auburn University is one of the US leading public research institutions (R1 classification), located in a friendly college town at the border of Alabama and Georgia. It is near major cities (Atlanta, GA and Montgomery, AL) and has excellent infrastructure.

Interested candidates should email  klyukin [at] auburn.edu their updated CV, university-level transcripts, and a brief description of their interests. Please include the words “PhD-Auburn” in the subject of your email.