Starting July 1st 2020, Prof. Qi will move to Brown University, Providence, RI.
For her new group at Brown, she is hiring new postdocs with focus on computational materials science.
The successful applicant will be involved in understanding the electrochemical and chemical-mechanical coupling phenomena at complex interfaces in batteries. Multiscale modeling approach starting from Density Functional theory, tight binding, reactive force field, and classical MD will be used for the investigation. The successful applicant must be an expert on density functional theory calculations and familiar with multiscale simulations techniques. He/she must be able to combine the atomic level of understanding of the interface with electrochemistry and mechanics. The work is part of a larger effort to use atomistic simulations to provide the fundamental understanding of electrochemical reactions on Li-metal surfaces.
The project will involve collaboration with experimental and modeling groups. The position will be expected to collaborate with other postdocs and graduate students in the lab working on the related project. In addition to the primary research responsibilities described above, the position will be able to participate in other Materials Simulation for Clean Energy (MSCE) Lab activities including assisting with training of undergraduate and/or graduate on computational modeling methods, report writing, and grant writing.
This position is initially for one year, renewable annually based on performance and the availability of funding. The position includes salary and fringe benefits for 1 year.
Required Degree
Doctorate – physics, chemistry, materials science, or chemical engineer
Minimum Requirements
Applicants must have completed a Ph.D. in physics, chemistry, chemical engineer, material science or related field by the start of the position. Postdoc experiences are highly valued. The ideal candidate will combine interest and experience in materials simulations and electrochemcial systems.
Desired Qualifications
The candidate must be an expert on ab initio calculations (VASP, Quantum Espresso, and Gaussian), Monte Carlo simulation (MC), and Molecular Dynamics (MD). Computational skills on writing code and script under UNIX on HPCC platforms are required. The candidate should also be familiar with battery materials research. It is also expected that the candidate will have strong written and oral communication skills and understanding of scientific methodology. Candidates should enjoy working in a dynamic research environment and be able to collaborate with experimental groups.
Required Application Materials
To apply, applicants must upload a cover letter, CV, a presentative publication, and contact information for 2 references.
Special Instructions
Please direct any questions regarding the position to Dr. Qi (yueqi.AT.Brown.edu or yueqi.AT.msu.edu)
"Deploying knowledge to address critical and complex problems in the world."