About the organisation
The Natural History Museum (NHM) is a world-class visitor attraction, leading science research centre and commercial event space.
Their Earth Sciences Department houses a large and active research collection, ranging from microfossils to meteorites and mammoths. Experts from the NHM and institutions across the world develop and use their collections in a friendly and inspiring environment. The Division of Invertebrates and Plants cares for over 9 million specimens and is one of the largest and most comprehensive in the world with particular strengths in its worldwide systematic and faunal collections. The NHM's research interests include documenting the history of Life on Earth and working to apply information from the fossil record to help inform potential trajectories of ecosystem response to our changing world.
The NHM is at a pivotal moment in their history as they seek to appoint 2 Early Stage Researchers. In the summer they will launch a new strategy setting out their role as the natural world faces increasing threats; making this a truly exciting time to be part of the NHM team.
About the role
This is an opportunity for an Early Stage Researcher to join a Marie Sklodowska- Curie Research Network including 15 ESRs working in 10 European Universities, Museums, and Businesses. The aim of this trans-disciplinary research network is to document the past , present, and potential future of coral reef ecosystems in the Coral Triangle region of Southeast Asia.
The network will implement a complete training program including theoretical and practical courses, guided by international experts, which will allow ESRs to become successful interdisciplinary scient ists, expected to lead the field of coral reef palaeoecology in the next decades.
In particular the NHM will focus on so-called "marginal" turbid water ecosystems that might act as critical ecological refugia as reefs respond to anthropogenic change.
You will study coral growth and bioerosion rates to document the ecosystem functioning of fossil and modern reefs in Coral Triangle. This work will include analysis of large datasets from X-ray computed tomography to extract ecological information from fossil and modern corals. To develop the high throughput data and analysis pipeline required for this project, you will apply innovative new methods of computer vision and artificial intelligence.