AI-Driven Remote Sensing Research Fellow

EURAXESS Czech Republic; United Kingdom; Hybrid; GBP 39,000 - 46,000; Full time

Benefits offered by this job

Flexible working options

Job summary

Cranfield University in the United Kingdom invites applications for a Research Fellow in Remote Sensing and AI to join the Landscape Observatory. You will develop state-of-the-art deep learning methods for land cover classification using multi-source imagery.

The role includes an 18-month fixed term contract, collaboration across disciplines, and opportunities to publish in high-impact journals while leveraging cutting-edge HPC infrastructure.

Qualifications

• Doctoral level in Remote Sensing or related field.
• Experience developing deep learning models using PyTorch; strong Python programming skills.
• Experience with remote sensing datasets and geospatial technologies (GDAL, RioXarray).
• Knowledge of semantic segmentation, time-series analysis, and modern AI approaches; publication record.

Responsibilities

• Develop and apply state-of-the-art deep learning methods for land cover classification.
• Work with multi-source aerial and satellite imagery.
• Collaborate in an interdisciplinary team; publish in high-impact journals and present at conferences.

Skills

Python programming

Deep learning

Geospatial analysis

English communication

Education

Doctoral degree (PhD) in Remote Sensing / Geography / Geoinformatics / Computer Science / AI

Tools

PyTorch

GDAL

RioXarray

HPC

Job description

Cranfield University in the United Kingdom invites applications for a Research Fellow in Remote Sensing and AI to join the Landscape Observatory. You will develop state-of-the-art deep learning methods for land cover classification using multi-source imagery.

The role includes an 18-month fixed term contract, collaboration across disciplines, and opportunities to publish in high-impact journals while leveraging cutting-edge HPC infrastructure.