PhD Opportunity in Ferroelectric Material: A PhD position is available to engage in cutting-edge research focusing on the modeling of ferroelectric materials for advanced memory applications. This research aims to explore theoretical limitations, properties, and interactions of ferroelectric/multiferroic materials using first-principles and machine-learning techniques.
PhD Opportunity in Multi-Scale Ferroelectric Material Modeling for Next-Gen Memory
Designation
PhD Researcher
| Category | Details |
|---|---|
| Research Area | Ferroelectric Material Modeling |
| Location | Leuven, Belgium |
| Eligibility/Qualification | Master’s degree in Physics or Chemistry |
| Type of Work | 90% Modeling/Simulation, 10% Literature |
Research Area
The focus of the research is on understanding the ferroelectric switching properties, phase transformations, strain, and electronic characteristics of materials, with applications in next-generation memory technologies such as Storage Class Memory (SCM) and multiferroic devices.
Location
Leuven, Belgium
Eligibility/Qualification
- Master’s Degree in Physics, Chemistry (focusing on theoretical aspects), Engineering Science, Computer Science, or equivalent.
- Strong motivation and good knowledge of solid-state physics or quantum chemistry.
- Experience with UNIX/Linux systems and proficiency in Python are a plus.
- Excellent writing and oral communication skills.
Description
The successful candidate will employ state-of-the-art ab initio calculations and simulations to investigate the interactions and dynamics within ferroelectric materials. Candidates will collaborate with a team to develop an efficient automation and data processing infrastructure for advanced simulations. Training will be provided to enhance skills in theoretical concepts and computational methods relevant to the project.
How to Apply
Interested candidates should submit their application, including a CV and motivation letter, mentioning the reference code 2025-068 in their application form.
Last Date to Apply
Open until filled
This structured post aims to attract candidates interested in pioneering research in the field of ferroelectric materials and their applications in advanced memory technologies.
