Research Scientists in Artificial Intelligence applied to cryo electron tomography (Predoc/Postdoc)Join the Instituto Biofisika (IBF), a collaborative research centre of the University of the Basque Country (UPV/EHU) and the Spanish National Research Council (CSIC), located at the Leioa Campus.

We focus on biophysics research and seek research scientists at predoctoral and postdoctoral levels to join the Laboratory for Numerical Methods of Cryo Electron Tomography, led by Dr. Daniel Castaño Díez.

The group develops computational methods for analyzing 3D cellular images, primarily through Dynamo software (>), funded by the Human Frontiers Science Program.

The project aims to extend cryoET processing tools with deep learning techniques for identifying small, flexible proteins in their natural environment.

Responsibilities include developing new methodologies, maintaining software, and analyzing cryoET datasets from collaborators.

Candidates should hold degrees in Mathematics, Computer Science, Engineering, or related fields, with a strong background in Matlab and an interest in Life Sciences.

Essential Qualifications Include

Experience in Deep Learning or AI methodsBackground in numerical mathematics, optimization, and heuristic methodsProficiency in MATLAB, Python, C++, and/or CUDADesirable qualifications include experience in Electron and Light Microscopy image processing and Molecular Dynamics simulations.

Start date is flexible, aiming for Fall 2025, with funding secured until August 2029.

Salaries range from €27,000-€42,000 for BSc/MSc and €38,000-€53,000 for PhD candidates, aligned with experience.

Applications should include a CV, motivation letter, and references, sent to ****** by August 15, 2025.

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