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Postdoctoral Research Associate: Computational genomics


A post-doctoral Research Associate position in Department of Zoology, located in Central Cambridge, is available from 1 January 2018 for up to twenty-four months, to work with Professor Eske Willerslev on developing new methodologies in ancient plant genomics.

The PDRA will work on statistical and computational components of a new method for high-throughput genome sequencing of single fossil pollen grains and its application to studying past plant population dynamics. Currently, our ability to reconstruct plant population dynamics beyond the last 150 years is limited to only a small number of species. The proposed method is expected to provide such information for thousands of species across the plant kingdom and open up a wide array of exciting new research possibilities in the fields of evolutionary biology, ecology and archaeology.

Duties will include developing and optimising statistical and computational techniques, setting up a computational pipeline, analysing the data and writing up the results. There is scope for the focus of the techniques/analyses to reflect the interests of the candidate.

Essential skills:

  • PhD in computational biology, bioinformatics, (bio)statistics, computer science, or a related field;
  • Solid programming skills;
  • Demonstrated experience in processing and analysing next generation sequencing data;
  • Demonstrated record in written and oral communication in relevant subjects;
  • Ambition and drive, strong work ethic and good interpersonal skills;
  • Enthusiasm to interact with colleagues;
  • Ability to organise time and work effectively, independently and responsibly in a research team setting.

Fixed-term: The funds for this post are available for up to 24 months.

To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Please quote reference PF13749 on your application and in any correspondence about this vacancy.

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Further information

Apply online