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

CSIC; Málaga; Presencial; EUR 27.000 - 53.000; Jornada completa

Descripción de la vacante

A leading research center in Spain, specializing in biophysics, seeks research scientists at postdoctoral and predoctoral levels. Join the Laboratory for Numerical Methods of Cryo Electron Tomography and contribute to pioneering research integrating deep learning techniques with software development for cryoET analysis.

Formación

• Strong background in MATLAB and experience in Deep Learning.
• Proficiency in software prototyping and production.
• Good command of programming languages such as Python, C++, and/or CUDA.

Responsabilidades

• Develop methodologies using deep learning for cryo-electron tomography analysis.
• Maintain and analyze datasets, contributing to software development.
• Integrate novel techniques for identifying small proteins.

Conocimientos

MATLAB

Deep Learning

Python

C++

CUDA

Numerical Mathematics

Educación

Official degree in Mathematics, Computer Science, Engineering, or a related field

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). The centre specializes in fundamental and translational biophysics research and fosters a highly collaborative environment.

Located at the Leioa Campus of the University of the Basque Country, IBF is currently accepting expressions of interest for research scientist positions at both 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 focuses on advancing computational methodologies for the automated analysis and interpretation of 3D cellular imagery, primarily through its in-house software platform Dynamo. This research is part of the project "RGP0017/2020 - Time-resolving the mechanism of exocytosis in situ," funded by the Human Frontiers Science Program, which has provided deep insights into exocytosis mechanics in living cells via new cryo-electron tomography processing methods.

The current goal is to extend this tool by integrating novel deep learning techniques to identify and characterize 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 Requirements

• Hold an official degree in Mathematics, Computer Science, Engineering, or a related field.
• Strong background in MATLAB.
• Interest in research in Life Sciences.
• Experience in Deep Learning and/or other AI methods.
• Solid knowledge of 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 and Light Microscopy.
• Experience in Molecular Dynamics Simulations.

Additional Details

Positions are flexible with an aim for an effective start in Fall 2025, with funding secured until August 2029. Salaries range from €27,000 to €42,000 gross per year for BSc/MSc holders, and €38,000 to €53,000 for PhD holders, aligned with skills and experience.

Expressions of interest should be sent as a single PDF to ******, including a Curriculum Vitae with academic record and a motivation letter.