Master Thesis in Deep Learning for Medical Computer Vision

Carl Zeiss Meditec AG, Oberkochen

Step out of your comfort zone, excel and redefine the limits of what is possible. That’s just what our employees are doing every single day – in order to set the pace through our innovations and enable outstanding achievements. After all, behind every successful company are many great fascinating people.

We are looking for students who are keen to try something new:

  • develop novel deep learning methods for a challenging problem in medical computer vision
  • design and train neural networks for a computer vision problem
  • evaluate and re-fine your approach on real-world data
  • present your work to other team members and write your Master's thesis report

You are:

  • currently enrolled in Master's degree program of computer science, mathematics, physics, engineering or related field
  • understanding of machine learning, deep learning and computer vision and image processing
  • conceptual/analytical thinking, technical understanding and creativity for solving complex problems in self-organized manner
  • hands-on programming skills in Python
  • experience in deep learning frameworks such as Tensorflow and/or Pytorch
If you have any technical questions regarding this position, please contact the relevant department (Markus Philipp, +4973642035660). Please send any other and all HR-related questions to studenten@zeiss.com.

As a student worker, you will work side by side with your coworkers as equals in an environment which will allow you create the ideal conditions for your future career.

In a spacious modern setting full of opportunities for further development, ZEISS employees work in a place where expert knowledge and team spirit reign supreme. All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together.
Join us today. Inspire people tomorrow.

Diversity is a part of ZEISS. We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, philosophy of life, disability, age, sexual orientation or identity.

Apply now! It takes less than 10 minutes.
Your contact
Markus Philipp
What we offer