Postdoc: Tropical Atmospheric Oxidation Modeling & ML

Cambridge; Lancaster; On-site; GBP 30,000 - 40,000; Full time

Job summary

A prestigious research institution in England is seeking a Post-Doctoral Research Associate for a project focused on atmospheric oxidation in the tropics. This role involves utilizing the UKESM model, analyzing results, and employing machine learning techniques. Candidates should possess a PhD in physical or computational science and ideally have experience in atmospheric modelling. The position offers a collaborative environment with international scientists, starting in March 2026. Applications are now open.

Qualifications

• Must have or be about to obtain a PhD in a relevant field.
• Experience simulating climate or chemistry is desirable.
• Proficiency in Fortran and high performance computing experience is desirable.

Responsibilities

• Perform experiments using the NERC-Met Office UKESM model.
• Analyze model results and assist in emulating results using machine learning.
• Collaborate with scientists globally and with UK Met Office.

Skills

Interpreting large model datasets

Experience with Python

Experience with R

Experience with Matlab

Education

PhD in physical or computational science

Tools

Unified Model

UKESM

Job description

A prestigious research institution in England is seeking a Post-Doctoral Research Associate for a project focused on atmospheric oxidation in the tropics. This role involves utilizing the UKESM model, analyzing results, and employing machine learning techniques. Candidates should possess a PhD in physical or computational science and ideally have experience in atmospheric modelling. The position offers a collaborative environment with international scientists, starting in March 2026. Applications are now open.