Summary
The Institut Charles Gerhardt Montpellier is inviting applications for a PhD student position focusing on the theoretical design and mechanistic study of low-temperature ammonia catalysts utilizing machine learning and density functional theory (DFT). This project aims to contribute to more sustainable ammonia synthesis, addressing the need for efficient and environmentally-friendly processes.
PhD in Theoretical Chemistry and Machine Learning, Montpellier, France
Designation
- Position: PhD Student
- Contract Type: Fixed-Term Contract (FTC)
- Duration: 36 months
Research Area
- Physical Chemistry
- Theoretical Chemistry
Location
- Institute: Institut Charles Gerhardt Montpellier
- City: Montpellier, France
Eligibility/Qualification
- Candidates must have:
- A strong background in theoretical physics, theoretical chemistry, and mathematics.
- Experience in methodological development and implementation of theoretical chemistry codes.
- A recognized document stating their status as a disabled worker (if applicable).
Job Description
The PhD thesis will explore:
- Identifying new stable and active catalysts for low-temperature ammonia synthesis and decomposition.
- Analyzing structure–reactivity relationships to guide optimization.
- Conducting a detailed mechanistic study of ammonia synthesis and decomposition, focusing on reaction pathways, intermediates, and transition states.
Work Programme:
- Exploration of new catalytic materials across various compound classes.
- In-depth mechanistic studies linking microscopic properties to overall catalytic performance.
How to Apply
Interested candidates should submit their applications following the specific guidelines provided on the institute’s website.
Last Date to Apply
- Deadline: June 1, 2026, at 23:59
Compensation
- Salary: €2300 gross monthly
- Annual Leave: 44 days
- Transport Compensation: 75% reimbursement of costs and a sustainable mobility allowance of up to €300.
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