Research Associate: Flexible Forest Monitoring with CV

University of Sheffield; Sheffield; Hybrid; GBP 38,000 - 46,000; Full time

Benefits offered by this job

Flexible working

High-performance computing access

GPU facilities

Job summary

The University of Sheffield invites applications for a Research Associate to join the Next-Generation Forest Inventory (NextGen-FI) project. You will develop AI and remote sensing methods for forest monitoring and illegal logging detection, combining computer vision, deep learning, and geospatial analysis.

You will translate research into practical tools, including a QGIS plugin, validate algorithms on UAV imagery, and work across data processing, model development, validation and deployment in

Qualifications

• PhD required in computer science or related discipline.
• Candidates from GIS, remote sensing or ecology are welcome.

Responsibilities

• Develop and evaluate deep learning frameworks for spatio-spectral-temporal UAV imagery.
• Investigate uncertainty-aware and incremental learning methods for robust mapping.
• Translate research into practical tools, including a QGIS plugin for forest monitoring.
• Validate algorithms using UAV imagery and work across data processing, model development, validation and deployment.

Skills

Computer vision

Deep learning

Remote sensing

Geospatial analysis

UAV imagery processing

Education

PhD in computer science

PhD in GIS/remote sensing/ecology

Tools

Python

QGIS

PyTorch

Job description

The University of Sheffield invites applications for a Research Associate to join the Next-Generation Forest Inventory (NextGen-FI) project. You will develop AI and remote sensing methods for forest monitoring and illegal logging detection, combining computer vision, deep learning, and geospatial analysis.

You will translate research into practical tools, including a QGIS plugin, validate algorithms on UAV imagery, and work across data processing, model development, validation and deployment in