Senior Research Scientist

Job Summary

Category
Post-doctoral Positions and Fellowships
Institution
University of Oxford
Department
Physics (Astrophysics)
Number of Positions Available
1
Duration
3 Years
Could the duration be extended?
No
Work Arrangement
In-Person
In-Person Location(s)

Oxford
United Kingdom

Job Description

The University of Oxford is seeking a Senior Research Scientist in Technosignature Searches to join Breakthrough Listen, the world’s leading scientific programme dedicated to the search for extraterrestrial intelligence. This is an exciting opportunity to contribute to cutting-edge research at the intersection of radio astronomy, signal processing, machine learning, and large-scale scientific data analysis.

The successful candidate will play a key role in the operation and scientific exploitation of Breakthrough Listen observing programmes at the Green Bank Telescope and Parkes Observatory. Working closely with an international team of researchers, engineers, and observatory partners, you will contribute to the analysis of some of the largest and most comprehensive radio technosignature datasets ever collected. This position offers the opportunity to contribute directly to one of the most ambitious scientific searches in modern astronomy, while working within a highly collaborative international research environment with access to major observatories, large-scale datasets, and advanced computational resources.

The role will involve the deployment and optimisation of search pipelines, analysis of large observational datasets, development of new computational approaches to technosignature detection, and contribution to publications, observing proposals, and collaborative scientific activities. The postholder will also work closely with technical teams supporting scientific computing infrastructure and data systems.

Applicants should hold PhD in astronomy, physics, computer science, electrical engineering, or a closely related discipline  and have experience in radio astronomy, signal processing, scientific computing, or related data-intensive research areas, together with strong programming and analytical skills. Experience with machine learning, high-performance computing, or observational radio astronomy would be advantageous.

 

Compensation and Benefits

Currency
368
Compensation Range
$49,119USD to $58,265USD

Application Details

Application Instructions
Apply online
Publication Start Date
2026 May 21
Application Deadline
2026 Jun 26
Reference Code
186538

Inquiries

Name
Andrew Siemion

Support

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