Brazilian Synchrotron Light Laboratory
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Postdoctoral Opportunity in X-ray Tomography and Scientific Computing Brazilian Synchrotron Light Laboratory in Brazil
Degree Level
Postdoc
Field of study
Computer Science
Funding
FAPESP-funded postdoctoral fellowship at R$ 12,570 per month plus a research allowance.
Deadline
Oct 30, 2026
Country
Brazil
University
Brazilian Synchrotron Light Laboratory

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About this position
Postdoctoral opportunity in X-ray tomography and scientific computing at the MOGNO beamline (Sirius/LNLS-CNPEM) in Campinas, Brazil.
This is a FAPESP-funded postdoctoral fellowship within a collaborative project between LNLS/CNPEM and Ghent University (Belgium), focused on developing and optimizing computational methods for high-speed, time-resolved X-ray tomography.
Ideal candidates should have experience in scientific programming, image reconstruction, Python, high-performance computing, and preferably C/C++, CUDA, GPU computing, computational imaging, inverse problems, tomographic reconstruction, unconventional acquisition geometries, and large-scale data processing.
The fellowship offers R$ 12,570/month plus a research allowance. The position is located in Campinas, Brazil, with an expected start in January 2027.
Application deadline: October 30, 2026. Interested applicants should follow the full details and application instructions in the linked opportunity page.
Funding details
FAPESP-funded postdoctoral fellowship at R$ 12,570 per month plus a research allowance.
What's required
Experience in scientific programming and image reconstruction is required. Strong Python skills and high-performance computing experience, including C/C++, CUDA, and GPU computing, are desired. Background in computational imaging, inverse problems, tomographic reconstruction, unconventional acquisition geometries, and large-scale data processing is particularly welcome.
How to apply
Read the full details and application instructions at the provided link. Submit the application according to the instructions in the linked opportunity page before the deadline.
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