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Research Associate in Data Processing Pipelines for the SKA Radio Telescopes (Fixed Term)

University of Cambridge - Department of Physics

Location: Cambridge
Salary: £33,002 to £46,049
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 24th October 2025
Closes: 4th December 2025
Job Ref: KA47709

Location: West Cambridge 

Fixed-term: The funds for this post are available until 30 November 2027 in the first instance. 

A position exists for a Research Associate in Data Processing Pipelines for the SKA radio telescopes in the Cavendish Astrophysics Group, Department of Physics, University of Cambridge. 

The position is funded by the STFC Square Kilometre Array (SKA) Construction Project, an international effort to build the worlds largest radio telescopes. The SKA will provide unprecedented sensitivity and survey speed, transforming our understanding of the Universe from the formation of the first stars and galaxies to the search for life beyond Earth. The successful candidate will join the Cambridge SKA team working on data processing, software development, and system integration for the SKA Science Data Processor (SDP). 

The role involves contributing to the development and implementation of data processing pipelines that transform raw telescope data into science-ready products. This includes developing and testing software for data ingestion, calibration, imaging, and quality control. The post holder will also help support the integration of these pipelines into the wider SKA software ecosystem, collaborating closely with international partners and industry as part of the SAFe Agile Release Train (ART) framework. 

Applicants should hold (or be close to completing) a PhD in astrophysics, radio astronomy, physics, computer science, or a related field. A strong background in scientific programming (Python, C/C++) and experience with software development for data-intensive systems are essential. Familiarity with radio astronomy, aperture synthesis, or high-performance computing will be considered advantageous. 

The role would particularly suit candidates interested in Big Data and Exascale computing and in gaining experience at the interface of scientific research and large-scale software engineering. The post holder will work within a collaborative team environment, contributing to software delivery milestones and participating in regular agile development cycles. Up to 20% of the post holders time may be dedicated to independent research, ideally related to SKA Key Science Projects such as 21-cm cosmology.

The successful candidate will be based at the Cavendish Laboratory, JJ Thomson Avenue, Cambridge CB3 0US, under the supervision of Professor Eloy de Lera Acedo.

Salary Ranges: Research Associate: £37,694 - £46,049 (Grade 7) Research Assistant (if PhD not yet awarded): £34,610 (Grade 5)

To apply online for this vacancy and to view further information about the role, please click 'Apply' above.

Please ensure that you upload your Curriculum Vitae (CV) and a covering letter, in the upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application. Please submit your application by midnight on the closing date.

If you have any questions about this vacancy, please contact Prof. Eloy de Lera Acedo (ed330@cam.ac.uk). If you have any questions about the application process, please contact hr@phy.cam.ac.uk.

Please quote reference KA47709 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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