Open Position: Model data scientist – Deadline 14 November 2021

The British Antarctic Survey are looking for a Climate Storyline Analyst to assist on the UKRI-BAS work required for Work Package 1 of the EU Horizon 2020 funded research project Polar Regions in the Earth System: Role of local regional scale processes in the changing polar and global climate systems (PolarRES).

Who we are

British Antarctic Survey (BAS) delivers and enables world-leading interdisciplinary research in the Polar Regions. Its skilled science 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 its 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 an excellent infrastructure help sustain a world-leading position for the UK in Antarctic affairs.

British Antarctic Survey is a component of the Natural Environment Research Council (NERC). NERC is part of UK Research and Innovation We employ experts from many different professions to carry out our Science as well as to keep the lights on, feed the research and support teams, and keep everyone safe! If you are looking for an opportunity to work with amazing people in amazing places, then British Antarctic Survey could be for you. We aim to attract the best people for those jobs.


The successful candidate will develop and run water tracer simulations in UKESM (and an earlier version of the physical model, HadCM3). The post will therefore involve running and analysing new isotope-enabled simulations; compiling paleoclimate data; and evaluating past and present day simulations against observations. The post-holder will work closely with the TiPES UKESM-water isotope coding group, which is led by BAS and includes collaborators from the Met Office and Prof Paul Valdes group at the University of Bristol. TiPES is a major Horizon 2020 funded project that runs from 2019 to 2023. The main object is to better quantify the tipping elements that are present in the climate system and to ensure that climate projections also include these. The post-holder will be a strong position to (co-)develop their own research directions after this post. To be successful in this role, you must have experience in the use of atmosphere/ocean models and experience of computer programming on linux-based systems.


PhD in atmospheric, earth sciences, maths, or statistics (or equivalent research experience).


  • Run HadCM3 and the UKESM for the Last Interglacial, and other time periods, with water isotopes.
  • Gather required water isotope datasets, with a focus on Antarctic observations.
  • Evaluate your HadCM3/UKESM simulations against your datasets.
  • Complete and analyse UKESM simulations for the EU-TiPES and EU-WACSWAIN projects.
  • Attend and contribute to project meetings.
  • Write papers and present results at meetings/conferences.
  • Attend training and other events (international conferences and seminars) as appropriate.
  • Develop own independent research program.

Please quote reference for any queries: BAS 21/127
Publication date:20 October 2021
Closing date for receipt of application forms is: 14 November 2021
Interviews are scheduled to be held on Zoom on: 1 December 2021

Communication skills – a) oral skills b) written skills

  • Excellent written and oral communication skills. Proficient in written and spoken English language – Essential
  • Track record of publishing in quality peer-reviewed literature. – Desirable [2]

Computer / IT skills

  • Experience in using Linux/Unix environments for running models and subsequent data analysis/visualisation – Essential

Decision Making

  • Ability to show initiative and to tackle problems independently – Essential

Interpersonal skills

  • Able to work as part of a team, but must also be able to work independently. – Essential
  • Ability to work collaboratively with researchers at other institutions, particularly internationally – Desirable [2]

Numerical ability

  • Excellent numerical skills – Essential
  • Knowledge of Python software package – Desirable [1]
  • In-depth knowledge of how to combine data and model output. – Essential


  • PhD in atmospheric, earth sciences, math, or statistics (or equivalent research experience). – Essential

Resource Management ability

  • Able to manage self and resources to meet agreed objectives and deadlines – Essential

Skills / Experience

  • Experience with using climate model output – Essential
  • Experienced with paleoclimate data – Essential
  • Experience of climate modelling, ideally HadCM3 and/or the UKESM – Desirable [1]

For application and further information, please follow this link.

via BAS
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