The University of Reading is offering a fully-funded PhD Studentship in Computational Chemistry, focusing on modeling stable isotope fractionation in minerals through a combination of computational chemistry and machine learning techniques. The project aims to enhance the prediction accuracy and speed of stable isotope fractionation, crucial for understanding climate history.
The successful candidate will work on integrating computational chemistry and machine learning to model stable isotope exchange in minerals and aqueous solutions. The project involves addressing challenges in predicting isotope fractionation efficiently and accurately. The team’s expertise in geochemistry applications and the application of machine-learning algorithms to computational chemistry simulations will be leveraged.
- Minimum 2:1 Bachelor Degree or equivalent in Chemistry, Physics, Materials Science, Computer Science, or related subjects.
- Open to UK applicants due to funding restrictions.
- Start Date: September 2024
- 3-year award with options for a one-year extension.
- Full tuition fees, research expenses, and UKRI stipend (currently £18,622 for 2023/24 academic year) covered.
How to Apply
Interested candidates should apply here and create an account. Use the link sent by email to start the application process. During the application, select the PhD in Chemistry. Quote reference DRC24-004 in the ‘Scholarships applied for’ box.