Student Assistant (HiWi) (f/m/div) for AI-Assisted 3D Segmentation of Photonic Nanostructures

Max-Planck-Institut für Intelligente Systeme · Stuttgart · 16 to 20 hours a week

HiWiGerman needed: none

Still open on 2 Nov

You apply on the company's own website.

Key facts

Pay: €15.61 an hour
Hours: 16 to 20 hours a week
Duration: First contract ends on 31 Dec 2026
Job starts: As soon as possible
Where you work: At the company
Language needed: English
Subject you study: Materials Science, Computer Science, Biomedical Engineering, Physics, Biology
Apply by: 20 Nov 2026

Performing 3D segmentation of individual guanine crystals based on Cryo-FIB microscopy datasets using Amira software.
Applying and optimizing machine-learning-based, automated and semi-automated segmentation workflows.
Refining segmentation results manually where necessary to ensure accurate separation of individual crystals.
Ensuring a consistent segmentation approach across datasets representing the three color states (blue, green and orange).
Preparing segmented 3D datasets for quantitative analysis of crystal spacing and spatial organization, and for computational modelling of their optical response across different color states.
Documenting image-processing workflows and organizing datasets for reproducible analysis.

We are looking for motivated students pursuing a degree in materials science, computer science, biomedical engineering, physics, biology or a related field.
Be currently enrolled at a German university.
Have an interest in scientific image processing, 3D visualization or materials characterization.
Demonstrate a careful, systematic and independent working approach.
Have good oral and written communication skills in English.
Be able to work on site at the Max Planck Institute for Intelligent Systems in Stuttgart.
Previous experience with 3D image processing or segmentation software, such as Amira, Avizo, Dragonfly, VGSTUDIO MAX or Materialise Mimics.
Interest in machine learning and AI-assisted image analysis.
An interest in microscopy, materials science, biomaterials or photonic nanostructures.

We offer a modern, well-equipped workplace, a highly international working environment, and access to an affiliated daycare center for young children.

Performing 3D segmentation of individual guanine crystals based on Cryo-FIB microscopy datasets using Amira software.
Applying and optimizing machine-learning-based, automated and semi-automated segmentation workflows.
Refining segmentation results manually where necessary to ensure accurate separation of individual crystals.
Ensuring a consistent segmentation approach across datasets representing the three color states (blue, green and orange).
Preparing segmented 3D datasets for quantitative analysis of crystal spacing and spatial organization, and for computational modelling of their optical response across different color states.
Documenting image-processing workflows and organizing datasets for reproducible analysis.

We are looking for motivated students pursuing a degree in materials science, computer science, biomedical engineering, physics, biology or a related field.
Be currently enrolled at a German university.
Have an interest in scientific image processing, 3D visualization or materials characterization.
Demonstrate a careful, systematic and independent working approach.
Have good oral and written communication skills in English.
Be able to work on site at the Max Planck Institute for Intelligent Systems in Stuttgart.
Previous experience with 3D image processing or segmentation software, such as Amira, Avizo, Dragonfly, VGSTUDIO MAX or Materialise Mimics.
Interest in machine learning and AI-assisted image analysis.
An interest in microscopy, materials science, biomaterials or photonic nanostructures.

We offer a modern, well-equipped workplace, a highly international working environment, and access to an affiliated daycare center for young children.