News

Vacancy: PATHWAYS 26-month postdoc in livestock systems

A postdoctoral position is available at the University of Reading on the PATHWAYS project.

The PATHWAYS project is coordinated by the Swedish University of Agricultural Sciences (SLU) and comprises 30 partners from 12 countries. PATHWAYS is a 5-year (2021-2026), €9 million Horizon 2020 project aiming to reduce environmental impacts while addressing societal demands for safe, nutritious and affordable meat and dairy products by identifying and increasing sustainable practices along the supply and production chains of the European livestock sector.

The position focuses on the development of an evaluation framework for the assessment of progress towards sustainability objectives in livestock systems, and for the analysis, interpretation, and publication of sustainability data on innovative livestock practices. Across these activities will prepare findings for publication, assist with future grant applications, as well as liaise with participants and organisations across the agri-food sector in Europe.

Position requirements include:

  • A PhD in a discipline related to the project, or equivalent experience;
  • Proven experience in some or all the following methods: agri-food Life Cycle Assessment (LCA), quantitative trade-off analysis, structured interviews;
  • Previous experience of leading and/or contributing to publications/presentations;
  • Fluency in English.

University of Reading will offer a salary of £33,966 – £44,263 per annum.

Deadline for application is 31 May 2024.

Privacy Overview

This website uses Google Analytics to collect anonymous usage information such as what pages are visited, for how long, from what type of device, and more.

We use this anonymous information to help us improve and gauge the overall success of the website.

For additional privacy of our visitors, visitor IP addresses are anonymised in Google Analytics which greatly reduces the ability for one to discern an exact location from visitor IP addresses, further minimising the identifiability of the anonymous data.

For more information, see our privacy policy.