Research Areas: First Principles Molecular Dynamics, Machine Learning, Electrochemistry

Supervisors: Dr. Jinggang Lan (Principal Investigator), Prof. Dr. Alfredo Pasquarello (Collaborating Supervisor)

Start date: Ideally 1st October 2023

We extend a warm invitation to Ph.D. candidates with a strong interest in First Principles Molecular Dynamics, Machine Learning, and Electrochemistry to join our esteemed team. Our project aims to develop computational methods and utilize them to address scientific challenges in the field of electrochemistry. As a valued team member, you will have the opportunity to collaborate with internationally renowned supervisors and actively contribute to innovative research projects.

The project will be conducted at the Chair of Atomic-Scale Simulation (CSEA) at EPFL in Lausanne. The successful candidate is expected to meet the following requirements:

• Fluent spoken and written English, preferably with experience in scientific paper writing.
• English proficiency at a C1 level, such as IELTS 7.0 or TOEFL 100+ (test results are not mandatory).
• Master's degree in a relevant field and meeting the admission requirements of the EPFL Department of Physics. Relevant disciplines include, but are not limited to, Physics, (Computational) Chemistry, and Computational Science.
• Programming experience with proficiency in programming languages such as Fortran and Python. Knowledge of machine learning is a plus.
• Preferably, experience with at least one of the following computational software: CP2K, VASP, Quantum Espresso, Lammps, Gromacs, i-PI, deepMD.

Benefits:

• Salary based on EPFL's standard for Ph.D. candidates.
• Coverage of travel expenses for summer schools, conferences, etc., amounting to at least 1,000 CHF per year.
• Opportunities for exchanges to renowned universities such as the University of Zurich and the University of Cambridge, based on the student's personal development and project requirements.

To apply, please submit the following:

• Curriculum vitae with contact information and 1-3 references, including at least one supervisor from your thesis (including nationality, date of birth, civil status, and attained degrees).
• Transcript of bachelor's and master's degrees.
• One reprint of representative previous research (paper or part of a master's thesis), if available.
• A short cover letter expressing your motivation.

Only complete applications, including points 1 to 3 described above, will be processed. Please send your application as a single PDF file to Jinggang Lan ([email protected]). Shortlisted candidates will be requested to provide confidential letters. The selection process will continue until a suitable candidate is found.