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

CSIC; Logroño; 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. Candidates will engage in advanced computational methodologies focusing on cryo electron tomography and deep learning techniques. This role combines research and practical application within life sciences, with salaries reflecting experience levels.

Formación

• Degree in relevant field is mandatory.
• Strong background in MATLAB is required.
• Experience in Deep Learning/Artificial Intelligence methods is preferred.

Responsabilidades

• Develop new methodologies for cryoET data analysis using deep learning.
• Contribute to the development and maintenance of the Dynamo software platform.
• Analyze cryoET datasets provided by external collaborators.

Conocimientos

MATLAB

Deep Learning

Artificial Intelligence

Numerical Mathematics

Python

C++

CUDA

Educación

Degree in Mathematics, Computer Science, Engineering or similar

Herramientas

Image Processing

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). Located at the Leioa Campus of the University of the Basque Country, it focuses on fundamental and translational biophysics research and promotes a highly collaborative culture.

The IBF (CSIC-UPV/EHU) 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.

Research Focus

The group advances computational methodologies for the automated analysis and interpretation of 3D cellular imagery, primarily through its in-house software platform Dynamo. Recent projects, funded by the Human Frontiers Science Program, have used cryo electron tomography to gain insights into the mechanics of exocytosis in living cells. The current goal is to extend this tool by integrating novel deep learning techniques for identifying and characterizing small, flexible proteins within their natural environments.

Position Responsibilities

• Develop new methodologies for cryoET data analysis using deep learning.
• Contribute to the development and maintenance of the Dynamo software platform.
• Analyze cryoET datasets provided by external collaborators.

Candidate Qualifications

• Degree in Mathematics, Computer Science, Engineering, or similar.
• Strong background in MATLAB.
• Interest in Life Sciences research.
• Experience in Deep Learning and/or Artificial Intelligence methods.
• Solid foundation in numerical mathematics, including optimization techniques.
• Proficiency in MATLAB, Python, C++, and/or CUDA.

Desirable Skills

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

Additional Details

Flexible start date in Fall 2025. 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 and qualifications.

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