|£32,982 to £38,205 per annum with further progression opportunities to £41,732
|8th December 2023
|11th January 2024
Bournemouth University’s vision is worldwide recognition as a leading university for inspiring learning, advancing knowledge and enriching society through the fusion of education, research and practice. Our highly skilled and creative workforce is comprised of individuals drawn from a broad cross section of the globe, who reflect a variety of backgrounds, talents, perspectives, and experiences that help to build our global learning community.
With the Bournemouth University 2025 vision and strategy centred on Sustainability, applications are invited for one Post-Doctoral Research Assistant to work on an EU H2020 project. The post-holder will be expected to examine ecosystem resilience in different management systems.
The post holder will work in a multidisciplinary group (>10 scientists) part of the H2020 project RESONATE (Resilient forest value chains – enhancing resilience through natural and socio-economic responses). The group is analysing the effects of different management practices on production of multiple ecosystem services and changes in the vegetation and ecosystem processes in nine case study areas throughout Europe. In each regional case study, we are using available datasets and existing models to assess how ecosystem service resistance, resilience and recovery have changed in the recent past and future. A selection of resilience indicators will be used to link a list of provisioning, such as timber, regulating (i.e. carbon stock and erosion control) and cultural ecosystem services (recreational and aesthetic values) to tree biomass, structure and composition.
We are seeking a highly motivated post-doctoral researcher with excellent skills in statistics and modelling. Background in either applied statistics, ecological modelling, forestry, geography, or related disciplines are needed. Experience with ecosystem analyses and knowledge on vegetation dynamics, ecosystem services and forest ecosystem processes are desirable but not essential. Effective communication and writing skills, as well as ability to work as a part of multidisciplinary research group are required. In practice, success in the position requires excellent skills in analysing research data and good programming skills (e.g. R, Python) and the ability to quickly understand and utilise model scripts and programs (Landis-II and ArcGIS). Ability for independent scientific work proven by good publication records is required. Ability to start in as soon as possible is also required.
This post is available on a fixed term basis until 02 October 2024.
A detailed job description and person specification are available from our website together with an online application form.
Closing Date: (Midnight) Thursday 11 January 2024
Type / Role: