Summary
King’s College London is seeking a highly motivated Postdoctoral Research Associate to contribute to the groundbreaking Carl Zeiss Stiftung grant on “Coupled renormalised integrals for snow and proteins”. This role offers the opportunity to engage in innovative mathematical research in biophysics and weather physics.
Postdoctoral Research Associate in Mathematics, King’s College London, UK
Designation
Postdoctoral Research Associate
Job Details
| Field | Details |
|---|---|
| Research Area | Statistical Physics, Biophysics, Weather Physics |
| Location | King’s College London, UK |
| Grade and Salary | £45,031 – £52,514 per annum |
| Contract Type | Fixed term until 29 Feb 2028 |
| Hours | Full-time (35 hours per week) |
Eligibility/Qualification
Essential Criteria:
- PhD qualified in Statistical Physics or a related area (or near completion).
- Experience in path integral formalisms.
- High-level analytical skills.
- Evidence of outstanding promise and originality in research, with a good publication record, commensurate with career stage.
- Experience in disseminating research through formal and informal presentations.
Desirable Criteria:
- Experience in Doi-Peliti field theory.
- Experience in coding and analysing numerical simulations.
- Post-doctoral experience.
- Teaching experience.
Job Description
The successful candidate will work closely with Dr. Rosalba Garcia-Millan and other collaborators to develop a mathematical framework for studying coupled particle-and-field stochastic processes using path integral approaches. This interdisciplinary role will focus on modeling complex stochastic processes related to protein aggregation and cloud formation, providing opportunities for independent and collaborative research.
How to Apply
Interested candidates should submit a CV and a supporting statement addressing the essential and desirable criteria mentioned above. Applications can be submitted via the King’s College London career portal.
Last Date to Apply
24 May 2026 (23:59 GMT)
For additional information or queries, please contact Dr. Rosalba Garcia-Millan at rosalba.garcia_millan@kcl.ac.uk.
