Programme Officer (Modelling Scientist)

We are seeking a modelling scientist with a higher degree (or equivalent) in a biological,
physical, mathematical, or computational discipline and experience in the production, or
application of, biodiversity related quantitative analyses and modelling approaches.

The scientist will work within UNEP-WCMC’s Science Innovation Area which aims to enhance the
scientific quality of the Centre’s work through research, training and partnership development.
The role will focus on providing technical expertise on a variety of quantitative analyses
including projects within marine, freshwater and terrestrial realms and may include the
temporal or spatial analysis of biodiversity/ecosystem services data from empirical or model
sources. Research will span the two focal initiatives within Science (Nature Trends and Futures
Modelling) and will also be relevant to a range of other Focal Initiatives in the Centre.

The role will lead the delivery of projects including work for example on the PREDICTS project, BIOCLIMA, the Trade Hub and the Madingley model. Tasks may include assessing nature’s trends for instance by exploring novel techniques for modelling or assessing interactions between biodiversity and drivers, or by using new data or new ways of aggregating data to produce maps of biodiversity or ecosystem services, or using such knowledge together with scenarios to examine possible future trends. The role is expected to work closely with the policy team and knowledge of current global biodiversity or ecosystem service indicators will be an advantage. It is expected that the scientist will lead the write-up of scientific papers and participate in scientific engagement and development.

As well as the skills outlined above, the scientist should have experience of code development and source code management, the ability to develop and apply novel tools and approaches within quantitative analyses, and experience with any of the following: mixed effects models, random forest models, Bayesian statistics, ecosystem service models, integrated assessment models, SSPs/RCPs, process based models/ecosystem models, land use models, climate models and hydrological models.

Please see our website for the job pack and more information. 

We look forward to receiving your application!