|Salary:||£37,200 per annum plus benefits.|
|Placed On:||8th February 2019|
|Closes:||4th March 2019|
The Natural History Museum is one of the world’s leading museums, internationally recognised for its dual role as a centre of excellence in scientific research and as a leader in the presentation of natural history through exhibitions, public programmes, publications and the web.
An exciting opportunity has arisen for a Postdoctoral Research Assistant in the fields of palaeobiology/evolutionary biology to join the Leverhulme Trust-funded project ‘Molecules meet Fossils - an integrated approach to studying palaeodiversity’ to study large-scale macroevolutionary patterns and processes in cheilostome bryozoans. In this project we are analysing fossil evidence and molecular data simultaneously to produce a time-calibrated phylogeny of cheilostome bryozoans using a variety of analytical approaches (tip and node calibration; fossilized-birth-death process). Specifically, we are testing whether the origins of morphological and functional innovations resulted in an increase in diversification and to what extent abiotic factors influenced speciation and extinction rates.
You will be working closely with a second Researcher (Molecular Phylogeneticist), and with the wider multi-disciplinary team consisting of the PI, Co-Is and a network of international collaborators. You will specifically lead on the analyses that combine fossil evidence, molecular and morphological data, and trait- and abiotic paleoenvironmental data in order to study speciation and extinction rates and diversification dynamics. As part of this, you will assemble a dataset of large-scale abiotic factors (climate, tectonic activity, meteorite impacts, etc).
This project provides a great opportunity to apply the latest macroevolutionary analytical approaches to an animal group with an extensive fossil record and well-preserved traits. We are looking for someone who has a PhD in Evolutionary Biology or Palaeobiology, with excellent skills in macroevolutionary analysis. Able to work on your own initiative, you are also motivated to work in a multidisciplinary team.
Please kindly note that the successful candidate will start on 3 June 2019
Closing date: 9am on Monday 4 March 2019
Interviews expected: w/c 18 March 2019
How to apply
Please complete your application online in our recruitment portal.
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