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

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

Descripción de la vacante

The Instituto Biofisika is seeking qualified research scientists at postdoctoral and predoctoral levels to further their work in biophysics and computational methodologies. Successful applicants will develop and maintain software tools while contributing to significant research projects in cryo electron tomography.

Formación

• Experience in AI methods and deep learning essential.
• Solid background in numerical mathematics required.
• Good command of relevant programming languages like MATLAB and Python.

Responsabilidades

• Develop methodologies for automated analysis of 3D cellular imagery.
• Analyze cryoET datasets from collaborators.
• Contribute to ongoing software development.

Conocimientos

Deep Learning

Numerical Mathematics

Software Prototyping

MATLAB

Python

C++

CUDA

Educación

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

Descripción del empleo

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 focuses on fundamental and translational biophysics research and offers a highly collaborative culture. The Instituto Biofisika (CSIC-UPV/EHU), 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. The research project "RGP0017/2020 - Time-resolving the mechanism of exocytosis in situ" funded by the Human Frontiers Science Program has revealed deep insights into the mechanics of exocytosis in living cells through new cryo electron tomography processing methods.

We aim to extend 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 ongoing software development and maintenance. They will also analyze cryoET datasets provided by external collaborators.

Ideal candidates must hold an official degree in Mathematics, Computer Science, Engineering, or similar, with a strong background in Matlab. An interest in Life Sciences research is assumed.

Necessary qualifications include:

1. Experience in Deep Learning and/or other Artificial Intelligence methods.
2. Solid background in numerical mathematics, including optimization and heuristic methods.
3. Proficiency in software prototyping and production.
4. Good command of MATLAB, Python, C++, and/or CUDA.

Desirable additional qualifications include experience in Image Processing for Electron and Light Microscopy, and Molecular Dynamics Simulations.

Positions have flexible start dates aiming for Fall 2025, with funding secured until August 2029.

Salaries will be aligned with skills and experience, within the official ranges of the CSIC: €27,000–€42,000 gross/year for BSc/MSc holders, and €38,000–€53,000 for PhD holders.

Interested candidates should send a single PDF including:

1. Curriculum Vitae with academic record.
2. Motivation letter.