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Light Bridges

GPU Optimization and Algorithm Design Roles for CORVUS Planetary Defense Project Light Bridges in Spain

Degree Level

not provided

Field of study

Computer Science

Funding

Indefinite contract with approximately €39,700 per year. Funding is secured through February 2029. The roles are fully remote with no geographic restriction.

Deadline

Sep 27, 2026

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Country

Spain

University

Light Bridges

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Keywords

Computer Science
Electrical Engineering
Aerospace Engineering
Mathematics
Image Processing
Astronomy
Astrophysics
Technical Engineering
Gpu Computing
Physics

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About this position

Light Bridges is advertising 2 open roles on the CORVUS project, a planetary-defense and space-surveillance effort focused on detecting near-Earth objects and space debris using GPU-accelerated synthetic tracking.

The work is described as fully remote with no geographic restriction, while the organization is based in Tenerife, Spain. The roles involve either GPU optimisation and performance or algorithm design and image processing, and successful candidates will have access to world-class telescopes, co-author publications, and contribute to discovering new Solar System objects.

Eligibility highlights include a PhD in any quantitative field (computer science, physics, mathematics, engineering, astrophysics) completed by the end of 2026, plus strong Python and hands-on GPU computing experience. The contract is indefinite, with funding secured through February 2029 and salary around €39,700/year.

To apply, email [email protected] with a CV and a short letter (max 2 pages). The deadline is 27 September 2026, and applications are reviewed on a rolling basis, so early submission is encouraged.

Funding details

Indefinite contract with approximately €39,700 per year. Funding is secured through February 2029. The roles are fully remote with no geographic restriction.

What's required

PhD in any quantitative field (computer science, physics, mathematics, engineering, or astrophysics) by the end of 2026. Strong Python skills and hands-on GPU computing experience are required. The post highlights roles in GPU optimisation/performance or algorithm design/image processing.

How to apply

Send a CV and a short letter of up to 2 pages to [email protected]. Applications are reviewed on a rolling basis, so apply early.

More information can be found here

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