Postdoc and Predoc positions for Artificial Intelligence an Computer Vision in Cryo Electron T[...]

CSIC; País Vasco; Presencial; EUR 27.000 - 53.000; Jornada completa

Descripción de la vacante

An established research center is seeking talented individuals for postdoctoral and predoctoral positions in Artificial Intelligence and Computer Vision. Join a pioneering team focused on advancing cryo-electron tomography techniques to enhance our understanding of cellular processes. Ideal candidates will have a strong foundation in mathematics, programming, and a passion for life sciences. This role offers the opportunity to work on cutting-edge research projects and contribute to groundbreaking discoveries in the field. With flexible start dates and funding secured until 2029, this is an exciting chance to make a significant impact in a collaborative environment.

Formación

• Strong background in Matlab and interest in Life Sciences research.
• Experience in Deep Learning and numerical mathematics.

Responsabilidades

• Develop computational methodologies for 3D cellular imagery analysis.
• Integrate deep learning techniques for protein analysis.

Conocimientos

Deep Learning

Matlab

Python

C++

CUDA

Numerical Mathematics

Heuristic Methods

Educación

Degree in Mathematics

Degree in Computer Science

Degree in Engineering

Herramientas

MATLAB

Python

C++

CUDA

Descripción del empleo

Postdoc and Predoc positions for Artificial Intelligence and Computer Vision in Cryo Electron Tomography

The Basque Center for Biophysics / Instituto Biofisika, located at the Leioa Campus of the University of the Basque Country, is currently accepting applications for research scientist positions at both the postdoctoral and predoctoral levels. Successful candidates will join the Laboratory for Numerical Methods of Cryo Electron Tomography, led by Dr. Daniel Castaño Díez. The lab focuses on developing computational methodologies for the automated analysis and interpretation of 3D cellular and tissue 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 provided deep insights into exocytosis mechanics in living cells via new cryo-electron tomography processing methods. The project now aims to extend these methods by integrating novel deep learning techniques to identify and analyze small, flexible proteins within their natural environments.

Ideal candidates must hold an official degree in Mathematics, Computer Science, Engineering, or a related field, with a strong background in Matlab. An interest in Life Sciences research is assumed. Necessary qualifications include:

• Experience in Deep Learning and/or other Artificial Intelligence methods.
• Solid background in numerical mathematics, including optimization and heuristic methods.
• Proficiency in software prototyping and production, with good command of MATLAB, Python, C++, and/or CUDA.

Additional desirable qualifications include:

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

Positions are available immediately, with flexible start dates aiming for Fall 2025. Funding is secured until August 2029. Salaries will depend on skills, qualifications, and experience, within the Spanish Research Council (CSIC) salary ranges: €27,000–€42,000 gross per year for BSc/MSc holders, and €38,000–€53,000 for PhD holders. Applications should be submitted as a single PDF including:

• Curriculum Vitae with academic record.
• Two reference letters or contact emails of referees.

Seniority level: Internship

Employment type: Full-time

Job functions: Research, Analysis, Information Technology