Master Thesis - Creation of an Optimized Lowering Mechanism for Trained Machine Learning Models (f/m/div)
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Key responsibilities in your new role
- Studying different approaches towards turning machine learning models into executable code for embedded devices Model Abstraction Design:
- Research and design a formal abstraction to capture a tool independent view of the underlying models Code Implementation:
- Research and implement a transformation from the models into executable embedded code via an existing tool chain Team Collaboration:
- Collaborating with our team to ensure a smooth integration and knowledge transfer Your Profile
Qualifications and skills to help you succeed
- Master's student in Computer Science, Electrical Engineering, or similar Experience :
- Experience with software development and code generation Skills :
- Strong Programming skills in Python and programming skills in C or Rust Knowledge:
- Good understanding of programming and programming languages Personality:
- Excellent problem-solving skills and attention to detail Way of working:
- Ability to work independently and collaboratively in a team Availability:
- You are available for an upfront internship to get familiar with some of techniques before the thesis starts Language skills :
- Fluent English skills, both written and spoken; German is a plus Please attach the following documents to your application:
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Über den Arbeitgeber