Master Thesis - Creation of an Optimized Lowering Mechanism for Trained Machine Learning Models (f/m/div)

Descripción del puesto:

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Your Role
Key responsibilities in your new role

* Model Transformation Development: 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

* Study Field: 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 plusPlease attach the following documents to your application:

* CV in English
* Certificate of enrollment at university
* Excerpt of the study regulations for the thesis (if applicable)
* Latest grades transcript (not older than 6 months)
* High school report

Contact:
Britta Johansson

Further links:

* Find out what we are looking for in your CV
* Find out how the student application process works with us
* Discover our student website#WeAreIn for driving decarbonization and digitalization.
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