Postdoctoral Researcher in Computational Imaging

Job summary

This position involves developing advanced image reconstruction algorithms for a robotic computed tomography system aimed at digitizing natural history collections. The role focuses on high-impact research in computational imaging and AI, contributing to open-source software, and collaborating with leading researchers.

Qualifications

• PhD degree in computational imaging, preferably in X-ray CT reconstruction.
• Experience in developing deep learning and/or regularization-based image reconstruction methods.
• Proficiency in scientific Python programming.
• Experience with simulations and large real datasets.
• Strong communication skills in English, both spoken and written.
• Ability to collaborate effectively and work independently.

Responsibilities

• Develop mathematical methods for rapid reconstruction of CT data from sparse or noisy datasets.
• Validate numerical implementations on both simulated and actual CT data.
• Explore and compare various machine learning and optimization methods for image reconstruction.
• Contribute to the development of computational reconstruction pipelines for the robotic CT system.
• Engage with open-source scientific software communities.
• Publish research findings in collaboration with colleagues.

Education

• A PhD degree (or equivalent) is required, with a statement from the main supervisor if nearing completion.

Tools

• Familiarity with scientific Python programming and open-source software development.