Master student (f / m / x) Imaging and AI

Dzne; Bonn; Vor Ort; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

A leading medical imaging organization in Bonn seeks a motivated Intern to contribute to research involving MRI image analysis leveraging deep learning. You will engage with real neuroimaging datasets and collaborate closely with experienced mentors on transformative projects enhancing medical diagnostics. Ideal candidates will have a solid grasp of Python and deep learning frameworks, and possess a collaborative spirit. This internship is limited to 3 to 6 months.

Leistungen

Family-conscious corporate culture

Health promotion programs

Individual onboarding

Qualifikationen

• Solid understanding and experience with scientific libraries.
• Familiarity with MRI image processing and analysis.
• Ability to collaborate and communicate findings effectively.

Aufgaben

• Preprocess MRI data for analysis.
• Develop and apply deep learning models for image tasks.
• Perform model evaluation and data visualization.

Kenntnisse

Python programming

Deep learning frameworks (PyTorch, TensorFlow)

Version control (Git/GitHub)

Tools

NumPy

Pandas

Matplotlib

Docker

Jobbeschreibung

Are you passionate about medical imaging and AI? We are looking for a motivated and curious Intern to join our research / engineering team working at the intersection of neuroscience, medical imaging, and deep learning.

As an intern, you will contribute to cutting-edge research involving MRI image analysis using deep learning techniques in Python. You will gain hands-on experience with real-world neuroimaging datasets, work with expert mentors, and contribute to impactful projects aimed at advancing medical diagnosis and understanding brain disorders.

1. Preprocess MRI data
2. Develop and apply deep learning models (e.g., CNNs, U-Nets) for image segmentation, classification, or synthesis tasks
3. Perform model evaluation, interpretability analysis, and data visualization
4. Collaborate with researchers to validate findings and refine model performance
5. Python programming: Solid understanding and experience with scientific libraries (NumPy, Pandas, Matplotlib)
6. Deep learning: Familiarity with frameworks such as PyTorch or TensorFlow
7. Version control: Experience using Git / GitHub for collaborative development

Nice to have:

1. Experience working with MRI images / images
2. Prior experience with segmentation networks (e.g., U-Net, nnU-Net)
3. Familiarity with libraries such as MONAI, or SimpleITK
4. Exposure to containerization tools like Docker
5. Understanding of statistical analysis or machine learning evaluation metrics

What our employees value

• Innovation and internationality – a forward-looking infrastructure, modern laboratory and office equipment, software tools, and the opportunity for international exchange with colleagues from 65 nations
• Family-conscious corporate culture – because we know that family is important
• Health promotion – through our extensive range of company health programs
• Individual onboarding – to ensure a smooth start in your new professional challenge
• The position is limited to 3 to 6 months

Please send your CV, a brief statement of interest, and (if available) a GitHub portfolio or sample project to [e-mail]