Research Position in Computational Modeling of Heterogeneous Catalysts

Job Description

As part of our laboratory's research initiatives, we are conducting advanced research on the computational modeling and optimization of heterogeneous catalysts for various catalytic processes. This project focuses on utilizing computational techniques to understand and enhance the performance of catalysts in reactions such as hydrogenation, oxidation, and biomass conversion. We are seeking a highly motivated candidate to contribute to the development of new catalytic systems through computational simulations and theoretical studies.

Main Responsibilities

• Perform computational calculations to model and optimize heterogeneous catalysts.
• Conduct simulations to evaluate catalytic performance and reaction mechanisms.
• Analyze and interpret computational data to understand the interactions between catalysts and reactants.
• Write scientific reports and research articles and participate in conferences.

Candidate Profile

• PhD degree in Chemical Engineering, Materials Science, or a related field.
• Strong knowledge of heterogeneous catalysis and computational chemistry.
• Experience with computational modeling (i.e., DFT, and/or molecular dynamics).
• Familiarity with software such as Material Studio, VASP, Quantum Espresso…
• Excellent communication skills (oral and written) in English.
• Good publication track record in peer-reviewed journals.
• Ability to work independently and as part of a multidisciplinary and multicultural team.
• Experience in co-supervision and coordination of graduate students is desirable.

Candidature Submission

Applicants should submit:

1. Cover letter outlining research experience, and achievements, and stating research interests.
2. Curriculum Vitae.
3. List of publications.
4. Name and contact information of at least two referees.
5. Recommendation letter.