PhD Candidate: Biodiversity KPIs for Sustainable Agriculture

Universiteit Leiden; Leiden; Hybrid; EUR 36,000 - 45,000; Full time

Benefits offered by this job

Hybrid working options

Home-working allowance

Pension ABP

Holiday allowance and end-of-year bono

Job summary

Leiden University invites applications for a PhD position on Key Performance Indicators for biodiversity-inclusive agriculture. You will design validated indicators and a system dynamics model in collaboration with TU Eindhoven and Wageningen UR, within the NWO-KIC RISE project, and work with farmers and stakeholders across regions.

You will join an interdisciplinary team and contribute to biodiversity strategies for agricultural landscapes, with a view to scalable applications and real-world

Qualifications

• A master’s degree in biology, environmental sciences, or related field.
• Interest in biodiversity research, ideally in agricultural or horticultural settings.
• Ability to work in an interdisciplinary team.
• Strong communication skills with stakeholders.
• Excellent written and spoken English.
• Willingness to conduct fieldwork in Dutch regions.

Responsibilities

• Evaluating barriers and opportunities for nature-inclusive farming.
• Designing validated KPIs for biodiversity improvement.
• Creating actionable biodiversity strategies for regional stakeholders.
• Upscaling biodiversity frameworks to new applications.

Skills

Interdisciplinary teamwork

English proficiency

Fieldwork willingness

Dutch language advantage

Education

Master's degree in biology or environmental sciences

Job description

Leiden University invites applications for a PhD position on Key Performance Indicators for biodiversity-inclusive agriculture. You will design validated indicators and a system dynamics model in collaboration with TU Eindhoven and Wageningen UR, within the NWO-KIC RISE project, and work with farmers and stakeholders across regions.

You will join an interdisciplinary team and contribute to biodiversity strategies for agricultural landscapes, with a view to scalable applications and real-world