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Research Associate

Mathematics, Statistics & Actuarial Science

Location:  Canterbury
Salary:  £34,804 to £40,322 per annum pro rata
Grade:  Grade 7
Post Type:  Full Time
Contract Type: Fixed Term - Ends 31/01/2022
Release Date:  Wednesday 15 January 2020
Closing Date:  23.59 hours GMT on Sunday 16 February 2020  (unless otherwise stated)
Reference:  STM-109-20

A Research Associate (RA) is sought to assist Dr Eleni Matechou with her interdisciplinary NERC project entitled “Integrating new statistical frameworks into eDNA survey and analysis at the landscape scale”. 

The aim of the project is to develop an integrated statistical framework for DNA-based surveys of biodiversity. This project requires the participation of a researcher with a strong research track record, as well as relevant skills and experience in applied Bayesian modelling and the implementation of associated computational methods.

This multidisciplinary project provides exceptional career development and research training opportunities for a RA with a background in Bayesian statistics to develop a range of research skills. The RA will become a leader in the field of statistical methods on the timely topic of inference from large, high-throughput data sets and the emerging area of metabarcoding in ecology. They will develop highly transferable statistical, programming, and data skills that are valuable for data-science posts in academia and industry. They will also become an effective communicator by presenting their work at national and international conferences and communicating their work to statisticians, ecologists and policy-makers. The RA will also get the opportunity to attend international conferences and workshops in Australia, Canada, Germany and the UK. 

This team has a strong record of supporting and assisting career development of their team members, and by the end of the project the RA will be well equipped to compete for prestigious posts worldwide. 

As a Research Associate you will:

  • Devise and undertake appropriate research to achieve the goals and milestones as described in the research project.
  • Write regular reports, compile results acquired in a form to allow rapid transformation of documented research outcomes, write papers for publication in journals and give presentations at international conferences.
  • Generate independent and original research ideas and methods in the development of new models and software for eDNA data;

To be successful in this role you will have:

  • a PhD in Statistics acquired or submitted by the time of appointment; or equivalent academic experience.
  • a strong research record in Statistics evidenced by publications/submissions in international journals.
  • a track record of giving presentations at major national or international meetings/conferences. 

Interviews will be held week commencing 24 February 2020. 

SMSAS, with slight changes in name, has existed from the earliest days of the University of Kent and is part of the Faculty of Sciences within the University. It offers a number of undergraduate and postgraduate programmes in Mathematics, Statistics and Actuarial Science. 

The School values diversity and inclusivity, and was the first school at the University of Kent to obtain an Athena SWAN Bronze award to recognise the advancement of gender equality. It has since become the first school at the university to obtain an Athena SWAN Silver award. The School has recently moved to the purpose-built Sibson Building, which acts a place for interaction, collaboration and social exchange that strengthens the position of SMSAS as a leading provider of Higher Education programmes in Actuarial Science, Financial Mathematics, Mathematics, and Statistics.

Please see the links below to view the full job description and also to apply for this post. If you require further information regarding the application process please contact The Resourcing Team on jobs@kent.ac.uk quoting ref number: STM-109-20

Further details:    Job Description     Additional Information    
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Please note - Applications must be made via the University’s online application system. CVs or details sent directly to the department or via email cannot be considered.

The University of Kent values diversity and promotes equality at all levels