Climate Science King’s College London in United Kingdom

27 Aug 2025
Job Information

Organisation/Company

KINGS COLLEGE LONDON

Research Field

Mathematics

Researcher Profile

Recognised Researcher (R2)
Established Researcher (R3)

Country

United Kingdom

Application Deadline

23 Sep 2025 - 00:00 (UTC)

Type of Contract

Other

Job Status

Full-time

Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Department: Department of Geography About us

The School of Global Affairs (SGA) is a dynamic hub of multi-disciplinary scholarship that seeks to address the most pressing issues facing our world today.

At King’s, we are deeply committed to embedding good equality and diversity practices into all our activities so that the university is an inclusive, welcoming, and inspiring place to work and study, regardless of age, disability, gender reassignment, marital status, pregnancy and maternity, race, religion, sex, or sexual orientation. King’s offers inclusive benefits to staff, including flexible working, Enhanced Parental Leave, funds for Parents and Carers, and the potential to join community staff networks.

About the role

You will join a team of climate scientists and artificial intelligence experts to generate new projections of the land ice contribution to sea level rise until 2300 with machine learning.

You will develop probabilistic machine learning “emulators” of multiple ice sheet and glacier models, based on large ensembles of simulations extending to 2300.

The simulations will be from two international projects aiming to inform the Intergovernmental Panel on Climate Change Seventh Assessment Report (AR7): PROTECT (EU Horizon 2020), which has produced thousands of ice sheet and glacier simulations, and ISMIP7 (Ice Sheet Model Intercomparison Project for CMIP7), which will have new ice sheet simulations in 2026. You will use your emulators to make projections of the ice sheet and glacier contributions to global mean sea level to 2300, calibrate these projections with observational data, and compare the results with those from other emulators of similar datasets (e.g. Gaussian Process methods by the project lead). These results will inform the IPCC AR7, and adaptation and mitigation policymaking by other global stakeholders.

You will be based in the Department of Geography and responsible to Prof Tamsin Edwards (line manager and project lead) and Dr Alex Bradley (first supervisor), working with Dr David Watson (Department of Informatics). This position is funded by King’s Climate and Sustainability.

The key responsibilities of the role are to develop machine learning emulators of multiple ice sheet and glacier models, using ensembles of simulations, in collaboration with the project scientists, with the purpose of delivering projections for the land ice contribution to global mean sea level rise to 2300.

This also includes: writing up this research for publication in leading international journals; disseminating research results through conference presentations; and communicating research results to relevant stakeholders.

This post will be offered on a fixed term contract for 12 months from the day you start.

About you

To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria

PhD qualified in mathematical, physical or computational sciences

Experience in using machine learning methods to analyse datasets

Experience in statistical or scientific programming (ideally R and/or Python)

Experience in analyzing large and/or complex datasets

Interest in quantifying uncertainties for computer models and/or climate predictions

Ability to work in a team

Ability to communicate orally in English

Ability to write clearly in English

Desirable criteria

Knowledge about sea level rise or polar climate change

Experience in working with data from ice sheet, glacier or climate models

Experience working in a multi-disciplinary team

Downloading a copy of our Job Description

Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process.

Further information

We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.

We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's.

As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities.

We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.

To find out how our managers will review your application, please take a look at our ‘ How we Recruit ’ pages.

Where to apply

Website

https://www.timeshighereducation.com/unijobs/listing/397915/postdoctoral-resear…

Requirements
Additional Information
Work Location(s)

Number of offers available

1

Company/Institute

KINGS COLLEGE LONDON

Country

United Kingdom

City

London (Greater) (GB)

Contact

City

London (Greater) (GB)

STATUS: EXPIRED

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