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

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

Descripción de la vacante

The Instituto Biofisika is seeking research scientists at postdoctoral and predoctoral levels to join a collaborative environment. The successful candidates will advance computational methodologies for analyzing 3D cellular imagery using software like Dynamo. Ideal candidates should possess robust technical skills in mathematics, programming, and have an interest in Life Sciences.

Formación

• Strong background in Mathematics or Engineering.
• Interest in Life Sciences research is expected.
• Experience in AI methods is required.

Responsabilidades

• Develop new methodologies and maintain software.
• Analyze cryoET datasets from collaborators.

Conocimientos

Deep Learning

Numerical Mathematics

Software Prototyping

Image Processing

Educación

Degree in Mathematics, Computer Science, Engineering

Herramientas

MATLAB

Python

C++

CUDA

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, the centre focuses on fundamental and translational biophysics research and offers a highly collaborative culture.

Currently, the IBF is accepting expressions of interest for research scientist positions at both 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. This research includes projects like "Time-resolving the mechanism of exocytosis in situ," funded by the Human Frontiers Science Program, which has provided insights into exocytosis mechanics in living cells through cryo electron tomography processing. The group aims to extend this tool by integrating deep learning techniques to identify and characterize small, flexible proteins within their natural environments.

Position Responsibilities

• Contribute to the development of new methodologies and the ongoing development and maintenance of the software.
• 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 research is also expected.

Necessary qualifications include:

• Experience in Deep Learning and/or other AI methods.
• Solid background in numerical mathematics, including optimization and heuristic methods.
• Proficiency in software prototyping and production.
• 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 effective start date in Fall 2025 and are funded until August 2029. Salaries range from €27,000 to €42,000 gross per year for BSc/MSc holders, and €38,000 to €53,000 for PhD holders, aligned with skills and experience.

Application Process

Interested candidates should send a single PDF including a Curriculum Vitae with academic records and a motivation letter to ******.