Research Scientists In Artificial Intelligence Applied To Cryo Electron Tomography (Predoc/Postdoc)

CSIC; Ribamontán al Mar; Presencial; EUR 27.000 - 53.000; Jornada completa

Descripción de la vacante

A leading research institute is seeking research scientists at postdoctoral and predoctoral levels to advance computational methodologies in cryo Electron Tomography. Successful candidates will engage in developing deep learning techniques to analyze 3D cellular imagery, forming part of a dynamic team focused on innovative life science research.

Formación

• Hold an official degree in relevant field.
• Strong background in MATLAB and interest in Life Sciences.
• Experience in Deep Learning or other AI methods.

Responsabilidades

• Develop methodologies for automated analysis in cryoET.
• Analyze cryoET datasets from external collaborators.
• Contribute to the maintenance of the software platform.

Conocimientos

MATLAB

Deep Learning

AI methods

Numerical Mathematics

Software Prototyping

Python

C++

CUDA

Educación

Official degree in Mathematics, Computer Science, Engineering, or similar

Descripción del empleo

Instituto Biofisika (IBF)

The Instituto Biofisika (IBF) is a joint research centre of the University of the Basque Country (UPV/EHU) and the Spanish National Research Council (CSIC). It focuses on fundamental and translational biophysics research and offers a highly collaborative culture.

The IBF, located at the Leioa Campus of the University of the Basque Country, is currently accepting expressions of interest for research scientist positions at both the postdoctoral and predoctoral levels.

Successful candidates will join the Laboratory for Numerical Methods of Cryo Electron Tomography (cryoET), led by Dr. Daniel Castaño Díez. The group is dedicated to advancing computational methodologies for the automated analysis and interpretation of 3D cellular imagery, primarily through its in-house software platform Dynamo. This research has been funded by the Human Frontiers Science Program (project RGP0017/2020), which has provided deep insights into the mechanics of exocytosis in living cells.

Current aims include extending this tool by integrating novel deep learning techniques for identifying and characterizing small, flexible proteins within their natural environments. The successful applicant will contribute to developing these methodologies, as well as to the ongoing development and maintenance of the software. They will also analyze cryoET datasets provided by external collaborators.

Candidate Qualifications

• Hold an official degree in Mathematics, Computer Science, Engineering, or similar.
• Strong background in MATLAB.
• Interest in Life Sciences research.
• Experience in Deep Learning and/or other AI methods.
• Solid background in numerical mathematics, including optimization techniques.
• Proficiency in software prototyping and production.
• Good command of MATLAB, Python, C++, and/or CUDA.

Desirable Qualifications

• Experience in Image Processing for Electron or Light Microscopy.
• Experience in Molecular Dynamics Simulations.

Position Details

Flexible start date aiming for Fall 2025, with funding secured until August 2029.

Salaries range from €27,000–€42,000 gross per year for BSc/MSc holders, and €38,000–€53,000 for PhD holders, aligned with skills and experience.

Application Instructions

Interested candidates should send a single PDF including:

• Curriculum Vitae with academic record.
• Motivation letter.