Sodium-Ion Battery Performance via Atomistic, AI and Continuum Modelling

Laplace Expert Ltd; Southampton; À distance; GBP 19 000 - 23 000; Plein temps

Résumé du poste

The University of Southampton is offering a fully funded PhD to optimise sodium-ion batteries using atomistic simulation, AI and continuum modelling. The project connects atomistic simulations with continuum battery models to understand sodium incorporation, capacity and cycling lifetime and to identify improved electrode materials.

It works alongside Faraday Institution experimental programmes and an industry partner.

Qualifications

• Applicants must have a UK 2:1 honours degree in chemistry, physics or materials science.
• Experience with density-functional-theory calculations or other atomistic simulation methods is desirable.

Responsabilités

• Optimise sodium-ion batteries using atomistic simulation, AI and continuum modelling.
• Connect atomistic simulations with continuum battery models to understand sodium incorporation, capacity and cycling lifetime.
• Identify and propose improved electrode materials.
• Collaborate with Faraday Institution experimental programmes and an industry partner.

Connaissances

Density-functional theory

Atomistic simulation

Machine learning

Continuum modelling

Battery modelling

Formation

UK 2:1 honours degree in Chemistry/ Physics/ Materials Science

Description du poste

Sodium-Ion Battery Performance via Atomistic, AI and Continuum Modelling

University of Southampton · Faculty of Engineering and Physical Sciences

England, United Kingdom

30 September 2026; exact cutoff time was not stated on the FindAPhD project page.

About This Opportunity

University of Southampton is offering a fully funded PhD to optimise sodium-ion batteries using atomistic simulation, AI and continuum modelling.

The project connects atomistic simulations with continuum battery models to understand sodium incorporation, capacity and cycling lifetime and to identify improved electrode materials. It works alongside Faraday Institution experimental programmes and an industry partner.

Level PhD

Programme PhD Chemistry (7189)

Field Multiscale Modelling of Sodium-Ion Batteries

Specialization Materials Science & Engineering

Organization Type University

Funding & Compensation

• Amount Fully Funded
• Funding Type Stipend
• Funding Status Fully Funded
• Tuition Coverage Fully Covered
• Stipend Yes

Requirements

Education

Applicants must have a UK 2:1 honours degree or international equivalent in chemistry, physics or materials science. Experience with density-functional-theory calculations or other atomistic simulation methods is desirable.

Experience

• Density-functional theory
• Atomistic simulation
• Machine learning
• Continuum modelling
• Battery modelling

General Skills

Languages

• English · Not Specified · required

Applicants must be UK nationals or hold settled status.