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

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

Descripción de la vacante

The Instituto Biofisika, part of the Spanish National Research Council (CSIC), is inviting applications for Research Scientist positions focused on innovative computational methods in biophysics. Candidates will work in a collaborative environment dedicated to exploring 3D cellular imagery and contribute to groundbreaking research with funding secured until 2029.

Formación

• Degree in Mathematics, Computer Science, Engineering, or similar required.
• Strong background in MATLAB and interest in Life Sciences research.
• Experience in Deep Learning and numerical mathematics desirable.

Responsabilidades

• Develop methodologies and maintain software for cryoET analysis.
• Analyze cryoET datasets from external collaborators.

Conocimientos

MATLAB

Deep Learning

Numerical Mathematics

Software Prototyping and Development

Python

C++

Educación

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

Descripción del empleo

Research Scientist Positions at Instituto Biofisika (IBF)

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

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 is dedicated to advancing computational methodologies for analyzing and interpreting 3D cellular imagery, primarily through its in-house software platform Dynamo. This research has provided deep insights into the mechanics of exocytosis in living cells and aims to extend these tools 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, maintaining the software, and analyzing cryoET datasets from external collaborators.

Candidate Requirements

• 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 development
• 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

Additional Details

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

Interested candidates should send a single PDF including their Curriculum Vitae, academic record, and motivation letter to ******.