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

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

Descripción de la vacante

The Instituto Biofisika is looking for research scientists to join its team at CSIC. Candidates will focus on developing computational methodologies for cryo electron tomography analysis, integration of deep learning techniques, and contribute to ongoing software enhancements. Ideal applicants should possess a degree in relevant fields, strong MATLAB expertise, and enthusiasm for life sciences research.

Formación

• Experience in Deep Learning and AI methods for analysis.
• Strong background in numerical mathematics and optimization.
• Proficiency in software development expected.

Responsabilidades

• Contribute to development of cryoET methodologies and software.
• Analyze cryoET datasets and implement deep learning techniques.

Conocimientos

Deep Learning

Software Prototyping

Image Processing

Numerical Mathematics

Matlab

Python

C++

CUDA

Educación

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. Located at the Leioa Campus of the University of the Basque Country, the Instituto Biofisika (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.

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. A research project funded by the Human Frontiers Science Program has revealed deep insights into the mechanics of exocytosis in living cells through cryo electron tomography processing. We aim to extend this tool by integrating novel deep learning techniques for identifying and characterizing small, flexible proteins within their natural surroundings.

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.

Ideal candidates must hold an official degree in Mathematics, Computer Science, Engineering, or similar, with a strong background in Matlab and an interest in life sciences research.

Necessary qualifications include experience in Deep Learning and/or other AI methods, a solid background in numerical mathematics (including optimization), and proficiency in software prototyping and production. Good command of MATLAB, Python, C++, and/or CUDA is expected.

Further desirable qualifications include experience in Image Processing for Electron and Light Microscopy and Molecular Dynamics Simulations.

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

Salaries will be aligned with the candidate's skills and experience within the official ranges set by CSIC: €27,000–€42,000 for BSc/MSc holders and €38,000–€53,000 for PhD holders.

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