Postdoc: ML SAR Forward Operator for Crop Data Assimilation

Delft; Netherlands; Remote; EUR 42,000 - 54,000; Full time

Job summary

TU Delft in Delft, Netherlands, invites applications for a Postdoc in Synthetic Aperture Radar (SAR) for land data assimilation. You will develop a machine learning–based forward operator to assimilate SAR imagery into a crop growth model, and work with international collaborators on the CROPWAVES project.

You will process SAR data across Europe, prepare inputs, and train/validate ML models while curating data and software.

Qualifications

• PhD in Earth Observation, Geodesy or closely-related field.
• Demonstrated experience with SAR image processing using SNAP, PolSARPro or similar.
• Experience in the use of SAR for agricultural applications.
• Demonstrated proficiency in machine learning for regression tasks.
• Proficiency with Python or similar scientific programming environment.
• Ability to work with large datasets, develop reproducible workflows and apply modern data science tools.
• Strong collaborative mindset and ability to work with international collaborators.
• Excellent written and spoken English.

Responsibilities

• Process SAR imagery over several study domains across Europe.
• Prepare satellite data, derived products, crop model output and ancillary data as inputs for the forward operator.
• Develop and implement a framework to train, test and validate a ML-based forward operator for SAR data assimilation.
• Curate, store, and maintain data and software developed in the project.
• Contribute to reporting and project management, including meetings.
• Publish research results in peer-reviewed publications.
• Present research outputs at meetings, workshops, and international conferences.

Skills

SAR processing

Machine learning

Python

Agriculture applications

Large datasets

Collaborative work

Scientific writing

Education

PhD in Earth Observation/Geodesy

Tools

SNAP

PolSARPro

Job description

TU Delft in Delft, Netherlands, invites applications for a Postdoc in Synthetic Aperture Radar (SAR) for land data assimilation. You will develop a machine learning–based forward operator to assimilate SAR imagery into a crop growth model, and work with international collaborators on the CROPWAVES project.

You will process SAR data across Europe, prepare inputs, and train/validate ML models while curating data and software.