Researcher/PhD Candidate: Supercapacitors: Join the Soft Matter Theory Group in a groundbreaking research project aiming to develop a comprehensive computational model for studying the dynamic behavior of solvated ions in supercapacitors during charge and discharge processes. This innovative project integrates a hybrid Monte Carlo and Molecular Dynamics approach to address the limitations of full atomistic simulations. The research explores the implications of this hybrid model on ion transport, concentration profiles, and electrochemical performance, contributing valuable insights for optimizing supercapacitor device performance and advancing energy storage technologies.
Computational Insights into Solvated Ion Dynamics in Supercapacitors – Research Project
Designation: Researcher/PhD Candidate
Research Area: Computational Chemistry and Materials Science
Location: [Specify Location]
Eligibility/Qualification:
- MSc or equivalent degree in Chemistry, Physics, or a related field (required)
- Proficient communication skills in English
- Background in statistical mechanics, molecular simulations, computer programming, and Linux operating system
Job Description:
- Develop a comprehensive computational model for studying solvated ion dynamics in supercapacitors.
- Integrate a hybrid Monte Carlo and Molecular Dynamics approach for efficient and accurate simulations.
- Address limitations of full atomistic simulations by selectively accounting for the relevant solvation shell.
- Investigate the implications of the hybrid approach on ion transport, concentration profiles, and electrochemical performance.
- Validate the developed model through comparison with experimental data, theoretical predictions, and full atomistic simulations.
- Contribute to the broader field of computational chemistry and materials science.
How to Apply: Interested candidates should apply to the project by [specify application method or link]. Please submit the following documents:
- Cover letter expressing your interest in the project.
- Curriculum vitae detailing your academic and research background.
- Contact information for two professional references.
Last Date for Apply: 13 March 2024
