Research Scientists In Artificial Intelligence Applied To Cryo Electron Tomography (Predoc / Po[...]

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

Descripción de la vacante

The Instituto Biofisika (IBF) seeks Research Scientists for its Laboratory for Numerical Methods of Cryo Electron Tomography. Candidates will engage in cutting-edge research combining computational methods with deep learning to analyze 3D cellular imagery. This role offers an opportunity to contribute to innovative methodologies in a collaborative research environment.

Formación

• Degree in relevant field is mandatory.
• Experience in Deep Learning or AI methods is a plus.
• Strong background in Matlab and knowledge of numerical mathematics required.

Responsabilidades

• Develop methodologies for cryoET data analysis.
• Maintain and enhance software platforms.
• Analyze datasets from external collaborators.

Conocimientos

Matlab

Deep Learning

Machine Learning

Numerical Mathematics

Python

C++

CUDA

Educación

Degree in Mathematics, Computer Science, Engineering, or related fields

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. Located at the Leioa Campus of UPV/EHU, the centre fosters a highly collaborative culture.

Currently, IBF is 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 advances computational methodologies for analyzing and interpreting 3D cellular imagery, primarily through its software platform Dynamo. Recent research funded by the Human Frontiers Science Program has provided insights into exocytosis mechanisms via cryo electron tomography processing. The group aims to extend this tool by integrating deep learning techniques to identify and characterize small, flexible proteins in their natural environments.

The successful applicant will contribute to developing these methodologies, maintaining the software, and analyzing cryoET datasets from external collaborators.

Candidate Requirements

• Degree in Mathematics, Computer Science, Engineering, or related fields.
• Strong background in Matlab.
• Interest in Life Sciences research.
• Experience in Deep Learning or Artificial Intelligence methods.
• Solid knowledge of numerical mathematics, optimization, and heuristic methods.
• Proficiency in 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 a start in Fall 2025 and funding secured until August 2029. Salaries range from €27,000–€42,000 for BSc/MSc candidates and €38,000–€53,000 for PhD candidates, aligned with experience.

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