We offer generous benefits
£41,344 - £45,479 the band minimum is the normal starting pay for those new to a role. In exceptional circumstances, where relevant skills and experience can be demonstrated, a higher starting salary may be offered.
We will give full consideration to requests for flexible and part-time working, such as reduced hours, compressed hours or job sharing. We also offer hybrid working and recognise the many benefits this brings. The nature of the role will determine if flexible and hybrid working options are possible.
Interview date – 16th July 2025
British Antarctic Survey (BAS) is looking for an exceptional Earth System Modeller to join our Ice Dynamics and Palaeoclimate team. BAS delivers and enables world-leading interdisciplinary research in the Polar Regions. We employ experts from many different professions to carry out our science as well as keep the lights on, feed the research and support teams and keep everyone safe!
Working at BAS is rewarding. Our skilled science, operational and support staff based in Cambridge, Antarctica and the Arctic, work together to deliver research that uses the Polar Regions to advance our understanding of Earth as a sustainable planet. Through our extensive logistic capability and know-how, BAS facilitates access for the British and international science community to the UK polar research operation. Numerous national and international collaborations, combined with excellent infrastructure, help sustain a world-leading position for the UK in Antarctic affairs. BAS is a component of the Natural Environment Research Council (NERC), which is part of UK
As a valued member of our team, you’ll be eligible for the following benefits:
30 days annual leave plus bank holidays and 2.5 privilege days
Excellent Civil Service pension (with 26% or more employer contribution, depending on your band)
24/7 access to an employee assistance programme (EAP – including support with physical, mental, social, health, and financial issues)
Flexible and family-friendly working opportunities
Cycle to work scheme
Access to discounted shopping on a range of retail, leisure, and lifestyle categories and much more
You’ll be joining our Earth system and palaeoclimate modelling group within the Ice Dynamics and Palaeoclimate Team, working on high-impact research into past warm periods and climate extremes.
You’ll lead a new suite of UKESM simulations of four interglacials – MIS 31, MIS 11, the Last Interglacial, and the mid-Holocene – using water tracer diagnostics to explore freshwater pathways and their links to Arctic and Antarctic climate change.
Within the role, there will be the opportunity to conduct isotope-enabled simulations, collaborate internationally through the EU-funded P2F (Past2Future) project, and support SWAIS2C research on Antarctic climate impacts.
You will also be encouraged to develop your own research ideas, contribute to peer-reviewed publications, and present findings at international meetings.
Some of your main responsibilities will include:
- Designing and running new UKESM experiments for four interglacials: MIS 31, MIS 11, the Last Interglacial, and the mid-Holocene
- Applying UKESM water tracers to investigate freshwater pathways and climate extremes
- Collaborating with partners across the EU-P2F project and contributing to WP1 and WP3
- Supporting Antarctic modelling as part of the SWAIS2C programme
- Running isotope-enabled simulations where appropriate
- Analysing Arctic and Antarctic responses and identifying mechanisms for regional extremes
- Publishing findings in peer-reviewed journals and presenting results internationally
- Contributing to BAS Earth System Modelling Group activities, evaluation and planning
For the role of Earth System Modeller: Past Extremes, we are looking for somebody who has:
- A PhD or equivalent experience in physics, atmospheric/oceanic science, Earth sciences, or applied mathematics
- Experience running Earth system models
- Expertise in polar climate processes
- Strong numerical skills and experience analysing palaeoclimate model output
- Linux/Unix proficiency for model execution and data analysis
- Excellent written and oral communication skills
- Collaborative working skills and initiative to tackle complex problems independently
