Research Fellow
| Dyddiad hysbysebu: | 10 Hydref 2025 |
|---|---|
| Cyflog: | £35,608 i £46,049 bob blwyddyn |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 09 Tachwedd 2025 |
| Lleoliad: | Warwick University, Coventry |
| Gweithio o bell: | Hybrid - gweithio o bell hyd at 2 ddiwrnod yr wythnos |
| Cwmni: | University of Warwick |
| Math o swydd: | Cytundeb |
| Cyfeirnod swydd: | 110948-1025 |
Crynodeb
For informal enquiries, please contact Scott Habershon (Professor) at s.habershon@warwick.ac.uk
The Habershon research group at the University of Warwick are seeking to recruit a research fellow in computational chemistry.
The research fellow will work on a new project focussing on the development and implementation of automated computational schemes for direct design of catalysts for CO2 transformations. Combining automated reaction discovery (ARD) simulations and microkinetic simulations employing fast machine-learned reaction rate evaluations, this project will offer a new and exciting route to addressing one of society's grand challenges - turning CO2 from pollutant to commodity.
The successful candidate will work in the Warwick Centre for Computational and Theoretical Chemistry (CaTCh), based in the Department of Chemistry. CaTCh is a vibrant community of 6 academic research groups – around 40 PhDs and research fellows in total – with strong interdisciplinary links to researchers in engineering, physics, mathematics, and life sciences.
This project is funded by the Engineering and Physical Sciences Research Council (EPSRC), and is available for 36 months (subject to satisfactory completion of probation requirements).
Further information on the Habershon group is available at: go.warwick.ac.uk/habershongroup
About You
You will have a strong background in computational chemistry, preferably with experience of AI/ML strategies for analysis of reactive chemical processes such as catalysis. You will be familiar with standard ab initio computational methods, such as DFT calculations, as well as reaction analysis strategies such as minimum-energy path calculations.
Experience of software development, documentation and dissemination (through routes such as GitHub) is also desirable.