About the role

PCTWIN (People-Centred Tsunami Early Warning for the Indian Coastlines)
The “People-Centred Tsunami early Warning for the Indian coastlines (PCTWIN)” is a 4-year (£ grant funded by NERC UKRI and the Indian Ministry of Earth Sciences (MoES), started on 15/02/. It is led by University College London (UCL)’s Department of Risk and Disaster Reduction (RDR), and Indian National Centre for Ocean Information Services (INCOIS), Hyderabad. This collaborative project involves the core team, UCL, INCOIS, University of Edinburgh, Institute of Seismological Research (ISR) India, and Norwegian Geotechnical Institute (NGI). Furthermore, the project involves as international partners, the Helmholtz-Centre Potsdam - GFZ German Research Centre for Geosciences, Universidad de Málaga (UMA), Earth Observatory of Singapore, Intergovernmental Oceanographic Commission of UNESCO, Odisha State Disaster Management Authority (OSDMA), and Kerala State Disaster Management Authority (KSDMA). As advisory board, the project has representatives from the UCL Warning Research Centre (WRC), Intergovernmental Coordination Group for the Indian Ocean Tsunami Warning and Mitigation System (ICG/IOTWMS), Istituto Nazionale di Geofisica e Vulcanologia (INGV), Geoscience Australia (GA), and International Research Institute of Disaster Science (IRIDeS) at Tohoku University.
PCTWIN conducts research informed by understanding of disasters and by local knowledge. It aims to:
1. Improve the understanding of and address knowledge gaps in the fundamental properties and physics of tsunamigenic earthquake and landslide processes.
2. To improve detection and forecasting of tsunamis and to provide more effective and more inclusive tsunami warnings.
3. Use participatory methods to make the tsunami warning chain more inclusive and To increase preparedness to respond to tsunamis.

About you

We are seeking a candidate with a PhD (or be close to completion) in Civil Engineering, Geo-informatics, Geography, Earth Sciences, or a relevant field. They should be familiar with probabilistic tsunami hazard and risk analysis, and the tsunami early warning systems (TEWS). Experience of working with spatial data, Geographical Information System (GIS), probabilistic and machine learning skills, and coding experience with Python are highly desirable. The successful applicant will also have excellent written and verbal communication skills in English to a wide variety of audiences; computer and software skills; organisational and independent working skills. They should be able to work collaboratively with a diversity of colleagues and students; have a commitment to high quality research; contribute to scientific and popular science dissemination; and contribute to the RDR multidisciplinary and multi-cultural intellectual environment.

What we offer

As well as the exciting opportunities this role presents, we also offer some great benefits some of which are:
• 41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days per annum) per annum
• Additional 5 days' annual leave purchase scheme
• Defined benefit career average revalued earnings pension scheme (CARE)
• Cycle to work scheme and season ticket loan
• Immigration loan
• Relocation scheme for certain posts
• On-site gym
• Enhanced maternity, paternity and adoption pay
• Employee assistance programme: Staff Support Service
• Discounted medical insurance.
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