ABOUT US

SWAISC is a large collaborative project involving researchers around the world. The UK team is made up of researchers in Imperial, Exeter, Leeds, Durham and BAS covering expertise in ice sheet modelling, sedimentology, provenance and geomorphology. At UCL we will conduct thermochronometric dating and provenance analyses on samples collected from Antarctica. These are detrital samples and provide information about how the topography has changed under the ice and how glaciers have responded to climatic changes. UCL Earth Sciences is one of the oldest centres for earth and planetary sciences in the UK. Situated in Bloomsbury in the heart of London, the department’s location is ideal for taking full advantage of the city’s cultural facilities for study and leisure, which are unmatched nationwide. The British Library and the British Museum are close by, and other great museums and art galleries – from the Tate, Tate Modern and National Gallery to the Science Museum, the Natural History Museum and the Victoria and Albert Museum - are within minutes by underground.

We are inviting applications for a Research Fellow with a strong background in thermochronometry to join our new NERC-funded Project SWAIS2C – Sensitivity of the West Antarctic Ice Sheet to 2 Degrees Celsius of Warming. The position will be held in the UCL Geochronology Centre in the Department of Earth Sciences and will continue for 15 months in the first instance. The successful candidate will investigate geomorphic evolution under the ice from the inception of glaciation to the present day. The is will involve low-temperature thermochronometric dating of detrial apatite crystals. The project will require sample preparation, and laboratory work in the London Geochronology Centre. We will also use numerical models to interpret thermochronometric data and reconstruct potential past landscapes. The candidate will also travel to New Zealand to collect detrital material and inspect recovered cores. The main purpose of the job is to collect unique data constraining topographic develop below the West Antarctic Ice Sheet, develop novel inverse methods to maximise the amount of data that can be recovered from detrital dataset, and to work closely with ice sheet models to simulate ice extends and erosion on derived topography.