Research Associate: ML for Astronomical Imaging

Data Science Jobs UK; Cambridge; On-site; GBP 37,000 - 46,000; Full time

Job summary

Data Science Jobs UK advertises a Research Associate position at the University of Cambridge. The role focuses on machine learning for astronomical imaging, including developing novel AI methods for detecting low surface brightness features in wide-field data.

The successful candidate should have a PhD (or near completion) in a related field and will contribute to data pipelines, model training, and deployment on GPU/HPC systems, publishing results and releasing open-source tools.

Qualifications

• PhD or near completion in ML, CS, astronomy, physics, mathematics or related field.
• Experience conducting independent and collaborative research.

Responsibilities

• Develop and conduct individual and collaborative research objectives and projects.
• Design and build the software stack for large survey datasets, including pipelines and training infrastructure.
• Publish results in peer-reviewed journals and present at international conferences.
• Release open-source research software associated with the programme.
• Collaborate with the Cranmer and Belokurov groups and access wide-field imaging data.

Skills

Machine learning

Research

Scientific programming

Data pipelines

Education

PhD or near completion

Tools

GPU

HPC

Open-source software

Job description

Data Science Jobs UK advertises a Research Associate position at the University of Cambridge. The role focuses on machine learning for astronomical imaging, including developing novel AI methods for detecting low surface brightness features in wide-field data.

The successful candidate should have a PhD (or near completion) in a related field and will contribute to data pipelines, model training, and deployment on GPU/HPC systems, publishing results and releasing open-source tools.