Visible on IKONS todayNewPopular

Postdoc Radar Based Forest Disturbance and Regrowth Monitoring

GelderlandHybrid38 hours/week<3months

Advance operational forest disturbance and regrowth monitoring using radar satellite data.

Combine methodological research with the further development and operation of radar-based forest disturbance alerts.
Utilize established and newly available radar satellite missions, including Sentinel-1 and NISAR.
Address challenges in translating radar observations into accurate, consistent, and operational information on forest disturbance and post-disturbance regrowth.
Extend the framework from disturbance detection towards continuous forest change monitoring, including the detection and characterization of post-disturbance forest regrowth and structural recovery.
Expand the geographic applicability of the radar alerts beyond their current implementations in the humid tropics and Europe.
Work within a strong international and interdisciplinary research environment, including collaboration with partners from a global nature organization.
Contribute to high-impact scientific publications, international collaborations, and operational monitoring products with direct societal relevance.

What you do

Operational lead of the near-real-time alert system.
Develop and implement radar-based methods for detecting and monitoring post-disturbance forest regrowth and structural recovery.
Study forest disturbance-recovery dynamics.
Coordinate project deliverables and ensure their timely and high-quality completion.
Contribute to collaborative research in an international consortium.
Publish research results in leading peer-reviewed journals.
Communicate research findings and monitoring developments to scientific, policy, and stakeholder audiences.

Highly motivated and independent researcher with strong methodological skills.
Demonstrated expertise in (radar) remote sensing.
Clear interest in multidisciplinary research at the interface of remote sensing, forest ecology, and forest management.
Ability to combine scientific rigor with collaborative work in an international research environment.
Ability to translate methodological advances into robust monitoring approaches.

What they ask

A PhD in remote sensing, data science, forest ecology, or a related field.
A strong foundation in remote sensing, including demonstrated experience with radar/SAR remote sensing.
Experience with forest change, disturbance, regrowth, or recovery dynamics.
Experience developing reproducible data-processing and analysis workflows.
Excellent programming skills, with strong proficiency in Python.
The ability to publish scientific research and communicate results effectively.
Experience working in interdisciplinary teams and with stakeholders.
Excellent written and spoken English skills (C1 level).

Preferences.

Experience with satellite time-series analysis, change detection, and near-real-time forest monitoring.
Experience with Sentinel-1, NISAR, and/or other spaceborne radar missions.
Experience with scalable Earth observation processing using cloud-computing or high-performance computing environments.
Knowledge of forest disturbance ecology, forest management, and post-disturbance vegetation dynamics.
Experience engaging with operational users, policy actors, or other stakeholders.

Competitive gross salary between € 3.706,- and € 5.760,- for a full-time working week of 38 hours (scale 10, CAO-NU).
Excellent terms of employment including sabbatical leave, study leave, partially paid parental leave, flexible working hours, sports facilities, an 8.3% fixed year-end bonus, and an excellent pension scheme.
Support for international employees with visa application procedures, housing, opening bank accounts, dual career programs, schooling, and potential tax exemption.

View the full assignment text and application details once your tailored application is ready.

Order a tailored application to view the full assignment and application details.

You get enough context to judge whether this job is relevant. The full brief, client details and next steps stay available inside the app.