PhD Researcher in Computational Catalysis: Join the Atomistic & Molecular Modelling for Catalysis Group at CIC energiGUNE to engage in cutting-edge research focused on the computational rational design of electrocatalysts for sustainable nitrogen conversion and utilization. This scholarship offers an opportunity to contribute to groundbreaking research while benefiting from a supportive international environment.
Designation
PhD Researcher
Research Area
Computational modelling of catalytic reactions, with a focus on NOx electroreduction, NH3 electrooxidation, and related processes.
Location
CIC energiGUNE, Spain
Eligibility/Qualification
- A Master’s degree (or equivalent) in Chemistry, Physics, Computational Chemistry, Nanoscience, Chemical Engineering, or a related field.
- Background in modelling (electro)catalytic processes using density functional theory (DFT) or a keen interest in developing expertise in this area.
- Proficiency in programming (e.g., Python).
- Excellent oral and written communication skills in English.
- A collaborative and supportive attitude for effective teamwork within an interdisciplinary environment.
Job Description
- Model catalyst resting states and reaction mechanisms under experimentally relevant conditions to provide atomistic insights into key electrocatalytic processes.
- Develop high-throughput computational screening workflows to evaluate novel materials with enhanced catalytic performance.
- Design and apply machine-learning models to accelerate the discovery of promising electrocatalysts.
- Collaborate closely with experimental partners to integrate theoretical and experimental efforts.
- Present research findings in various meetings and conferences.
How to Apply
Interested applicants should submit:
- A detailed curriculum vitae.
- A motivation letter.
- Bachelor degree records.
Applications can be submitted through the CIC energiGUNE website [insert application link if available].
Last Date to Apply
The selection process will continue until a suitable candidate is found. Early applications are encouraged.
