Electrochemical systems are essential to modern life. They encompass energy technologies like batteries and fuel cells as well as systems for desalination, mineral extraction, and chemical sensors. The fundamental physics of these systems relies on two components: electrodes and an electrolyte. You might be familiar with electrolytes in the context of sports drinks. Fundamentally, a liquid electrolyte, whether in a drink or an electrochemical device, is an ionic salt solution like dissolved sodium chloride.
We are currently inviting applications for a Postdoctoral Research Associate in Deep Learning to work with Professor Justin Sirignano at the Mathematical Institute, University of Oxford. This is a 6-month, fixed-term position funded by an EPSRC grant. We anticipate a starting date of 1 December 2026 (or as soon as possible thereafter) and an expected end date of 31 May 2027. There is scope for flexibility in the start and end dates, subject to approval by the department and the funding agencies.