Working Student Computer Vision and Deep Learning

For our Munich office we are looking for a working student (m/f/d; 15-20h) that loves to play a role in shaping the future of our product.

Here you can dive into AI and it's use in bringing Med Tec into the future.

Tasks

• Design and applications of image processing algorithms (incl. classical image processing and deep learning based methods) for medical ultrasound imaging tasks: segmentation and classification.
• Evaluation and performance report of the medical imaging algorithms.
• Knowledge in image registration.
• Take an active role in new medical imaging projects.

Requirements

• Experience or very strong interest for computer vision in medical domain.
• Experience with Python.
• Experience with essential computer vision libraries such as NumPy and Scikit-Learn.
• Experience with deep learning frameworks such as PyTorch or Tensorflow.
• Familiarity or strong desire to learn C++
• Familiarity with web development (React library and/or FastAPI framework) is a plus.
• Excellent English skills (C1 or higher), good German skills are a plus (alternatively you're fluent in German and have good English skills)
• You will continue to study for at least 1 year

Benefits

• Potentially, and depending on your field, there might be the possibility to write your thesis with us!
• Work in a future-oriented medical field
• Being a valued team member of an innovative company beside your studies
• Independently handling your projects, no micro-management
• Short communication channels and close cooperation between all departments
• Flexible working hours, partially home-office possible
• Diverse work environment and open-minded corporate culture

Please note:

We can only accept resumes in German or English and from students residing in the greater Munich area.

If you are not an EU citizen, please mention whether you already have a valid work permit for students in Germany (20h/week). If it is not evident that you have one, we will unfortunately have to automatically decline your application.

What else should you know about us?

As a small-scale startup company, the most important factor for us is the personal fit, which is why formal criteria may sometimes matter less in case of doubt.

Our team currently consists of approximately 25 (really cool) people from 14 different countries, and although we mostly speak German in the Munich office, many meetings and some customer interactions are conducted in English. We take pride in diversity and equal opportunity and encourage all qualified individuals to apply, regardless of gender, age, ethnic background, sexual orientation, or disability.

And for the record: there's even a foosball table here!

It would be excellent if you could provide us with information in advance about a potential starting date!