This post-doctoral position, funded by a grant from the UKRI Natural Environment Research Council, will involve investigation of the impact of interactive effects of climate change and land use on the biodiversity of invertebrate and vertebrate animals globally, using advanced statistical analysis based on existing and new collations of biodiversity data. It will also involve the development of future projections of biodiversity change using simulation models of species' range shift. Research will be written up as scientific papers and presented at national and international conferences. The role will also involve a small amount of assisting with the administration of the project, such as helping to organize project meetings and fulfilling annual project reporting requirements. The project to which this position contributes is a collaboration between UCL, the University of Northumbria and Durham University.
This is a fixed-term role from 1st September 2026 until 3rd November 2028, in the first instance. Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at Grade 6B (salary £38,357 – £41,005 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD Thesis. We will consider applications to work on a part-time, flexible and job share basis wherever possible. This role is eligible for hybrid working with a minimum of 80% on site. This appointment is subject to UCL Terms and Conditions of Service for Research and Professional Services Staff. Please visit https://www.ucl.ac.uk/human-resources/conditions-service-research-teaching-and-professional-services-staff for more information.
The successful candidate will have experience of conducting robust scientific research in the fields of biodiversity or ecology more generally, and a track record of publishing scientific results in peer-reviewed journals. You must hold (or be close to obtaining) a PhD in biodiversity, ecology or a related field. You will have experience of statistical data analysis in R and the use of coding to automate analysis. You are also expected to have excellent communication skills, with evidence of oral presentation of scientific results at conferences or similar. You will need to be able to work independently as well as part of a small team of researchers, and to manage collaboration between the three institutions involved in the project.
The UCL Ways of Working supports colleagues to be successful and happy at UCL through sharing expectations around how we work – please visit https://www.ucl.ac.uk/human-resources/policies-advice/ways-working to find out more.
As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below:
Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.
As London's Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world's talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.
We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women.
Our division holds an Athena SWAN Silver award, in recognition of our commitment to advancing gender equality.
You can read more about our commitment to Equality, Diversity and Inclusion here: https://www.ucl.ac.uk/equality-diversity-inclusion/
Tagged as: Life Sciences
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