Student Research Assistant Position - HoloLens Biomedical Image Visualization

Modern diagnostic imaging modalities provide a wealth of information in three and more dimensions, which often exceeds human processing capacity. To help humans to study the information and to help medical students and professionals to interactively explore human anatomy and (patho)physiology we have created the open-source Essential Vision project.

As part of the Essential Vision project we have a part-time Student Assistant position available which concerns software development and image processing in an existing Unity-based framework to interactively visualize dynamic 3D anatomical models using Microsoft’s HoloLense. The anatomical and functional models are derived from time-resolved multi-contrast 3D Magnetic Resonance and Computed Tomography image datasets and other data sources which are available to this project.

We are looking for an experienced Programmer who will apply and further develop his/her programming skills in C#/Unity. A keen interest in augmented reality applications and medical imaging in general is desired along with a self-reliant and highly committed approach to software development

Software design and implementation (70%)

• Coding of visualization/communication layers and objects
• Conversion and display of time-resolved .vtk input models
• Color overlay to represent functional aspects

Validation and testing (20%) 

• Testing together with researchers and clinicians
• Support of deployment for cardiac interventions

Documentation and communication (10%)

• Presentation of methods and results
• Code documentation for reproducible research

• Solid programming experience in C#/Unity, Python
• Self-motivated, self-organized and committed team player
• Knowledge of the basics of MRI and CT imaging is a plus
• Enrollment as a student is a mandatory requirement

• Interdisciplinary work at the interface between computer science, biomedical imaging and medicine
• Collaboration with an industrial partner on industry-level medical data processing and visualization
• Flexible working hours, onsite and home office options