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

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

Descripción de la vacante

A leading research center is accepting applications for research scientist positions in cryoET analysis and software development. Ideal candidates will have degrees in relevant fields such as Mathematics or Computer Science, combined with a strong background in Deep Learning and MATLAB. Positions are flexible, starting in Fall 2025, with secured funding until August 2029, offering competitive salaries based on qualifications.

Formación

• Ideal candidates should hold an official degree in relevant fields.
• Experience in Deep Learning and/or AI methods is necessary.
• Proficiency in MATLAB, Python, C++, and/or CUDA emphasized.

Responsabilidades

• Contribute to developing new methodologies in cryoET analysis.
• Assist in ongoing development and maintenance of the Dynamo platform.
• Analyze cryoET datasets from external collaborators.

Conocimientos

Deep Learning

Numerical Mathematics

Software Prototyping

MATLAB

Python

C++

CUDA

Educación

Official degree in Mathematics, Computer Science, Engineering

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). It focuses on fundamental and translational biophysics research and offers a highly collaborative culture.

The IBF (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 postdoctoral and predoctoral levels.

Research Group and Projects

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 automated analysis and interpretation of 3D cellular imagery, primarily using its in-house software platform Dynamo.

Recent research, funded by the Human Frontiers Science Program, has developed new methods for cryo electron tomography processing, revealing insights into the mechanics of exocytosis in living cells. The group aims to extend these tools by integrating novel deep learning techniques to identify and characterize small, flexible proteins within their natural surroundings.

Position Responsibilities

• Contribute to the development of new methodologies in cryoET analysis.
• Assist in the ongoing development and maintenance of the Dynamo software platform.
• Analyze cryoET datasets provided by external collaborators.

Candidate Qualifications

Ideal candidates should hold an official degree in Mathematics, Computer Science, Engineering, or similar, with a strong background in Matlab. An interest in life sciences is assumed.

Necessary qualifications include:

• 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 include experience in:

• Image processing for Electron and Light Microscopy.
• Molecular Dynamics Simulations.

Position Details

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

Application Instructions

Interested candidates should submit a single PDF including:

• Curriculum Vitae with academic record.
• Motivation letter.