Ice ModellerEmulation Scientist
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Posted on:
7 hours ago
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1 Vacancy
Job Summary
British Antarctic Survey
BAS 26/34
Contract type: FTA (36 months)
Location: Cambridge
Salary: D S2
Closing date: 22/03/2026
Interview date: 14th-15th April 2026
Background/Overview:
The British Antarctic Survey (BAS) is looking for an ice sheet modeller/emulation scientist to join our Ice Dynamics and Polar Ocean teams. This post is part of an ARIA-funded Forecasting Tipping Points programme GIANT (Greenland Ice sheet to AtlaNtic Tipping points from ice loss). GIANT is a large international collaboration across 17 institutions that is dedicated to observing and modelling the melting and calving of glaciers in Greenland fjords.
At BAS youll join an interdisciplinary team of oceanographers and glaciologists working closely together to improve our understanding of the evolving ice and ocean dynamics in Greenland and Antarctica. Youll help us to deliver exciting and impactful scientific research on one of the biggest questions facing society: how much and how fast will ice sheets melt influencing North Atlantic climate and causing global sea-level rise
Purpose:
We are looking for a post-doctoral physical scientist in the field of ice sheet/glacier modelling to simulate Greenland glaciers and train emulators of the full glacier particular the Ice Modeller/Emulation Scientist will use the WAVI ice sheet model to examine the response of key Greenland glaciers to perturbations from melting and calving at the glacier face. They will then develop existing machine learning frameworks to train statistical emulators of the glacier models that can cheaply represent the full model results enabling assessments of potential future tipping points. The postholder will collaborate with the wider team from the GIANT project (Greenland Ice sheet to AtlaNtic Tipping points from ice loss GIANT) who will provide observational data and fjord model results.
The role is based within a collaborative grouping of ice and ocean scientists in the Polar Oceans and Ice Dynamics teams at BASwhich includes ice sheet and ocean modellers as well as observational and field scientists. Assessing the future contribution of the Greenland and Antarctic ice sheets to sea-level rise and North Atlantic climate is the core research goal of this grouping.
We support the individual needs of our colleagues within a wider culture that is friendly respectful open and honest. We want the postholders to have freedom to pursue this science in the direction they think best though we will of course offer full training in the technical aspects and modelling specifics and provide guidance on the research questions. There will also be plenty of scope to tailor the project to the candidates interests within the remit of the broader GIANT project.
This post is advertised in parallel with the Ice-Ocean Modeller roleRW1. Applicants are encouraged to apply to both roles which will be combined into a single interview. Please submit identical applications for each role you are interested in; we unfortunately cannot consider you for any roles to which you do not apply. Please ensure your cover letter and CV show how you meet the criteria below and include a list of your publications.
If this role appeals to you wed love to hear from you whatever your background. Full training in all aspects of the modelling and emulation will be provided. The role is available immediately but our top priority is to recruit the best candidate and we would consider any start date. Informal enquiries about this post are very welcome and should be addressed to Rosie Williams () Paul Holland () or Robert Arthern ( ).
Duties:
Duties and responsibilities include:
Set up Greenland glacier simulations using the WAVI ice sheet model and observational data from the GIANT project and elsewhere.
Investigate the response of Greenland glaciers to changes triggered at the terminus.
Create cheap statistical emulators of the glacier models.
Collaborate with other GIANT scientists on the incorporation of the emulators into a prototype Early Warning System.
Publish papers in the scientific literature and present at international scientific conferences.
Skills Qualifications and Experience
Qualifications
Essential:
First degree in physical science/mathematics plus PhD or equivalent experience
Skills & Experience
Essential:
Experience in the use of numerical models (e.g. ice sheet or ocean models)or probabilistic machine learning methods or equivalent related experience
Experience with computer coding (e.g. Julia Python Fortran)
Experience of Linux and PC based systems
Track record of publication in high-quality journals and presentation at international conferences
Desirable:
Background in numerical modelling of ice sheet/glacier flow or processes relevant to ice dynamics
Knowledge/experience of emulation techniques for physics-based models
Knowledge of fluid dynamics or ice/ocean interactions
Other factors
Essential:
Proficient in written and spoken English
Able to set own priorities and manage time effectively
Able to work effectively as part of a team
The role holder will be required to have the appropriate level of security screening/vetting required for the role. UKRI reserves the right to run or re-run security clearance as required during the course of employment.
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
UKRI - UK Research and Innovation UKRI is an organisation that brings together the seven disciplinary research councils, Research England and Innovate UK. Together, we build an independent organisation with a strong voice and vision ensuring the UK maintains its world-leading position ... View more
