Working Students: Ai for Radar Applications
vor 3 Monaten
**Focus on the future**: You will be responsible for efficiently gathering and accurately labeling senor data to support the development of advanced algorithms
- **Take responsibility**: You will bring your knowledge for building signal processing pipelines
- **Participate in shaping research**: You will be involved in developing pipelines that utilize generative AI techniques to create synthetic RADAR data
- **Study field**: You are currently enrolled in a Bachelor‘s or Master‘s program in Computer Science, Electrical Engineering, Physics or similar
- **Skills**: You demonstrate proficient Python programming skills, capable of efficiently developing and maintaining software solutions
- **Experience**: You have already gained first experiences with artificial intelligence pipelines and deep learning libraries e. g. TensorFlow and/or Pytorch
- **Interests**: You possess a basic understanding of Radar technologies, signal processing algorithms and familiarity with main concepts of statistics, linear algebra and geometry
- **Way of working**: You ensure efficient management of tasks and projects through your self-organized and structured work style
- **Language skills**: You have good communication skills in English, written and spoken
- CV in English
- Certificate of enrollment at university
- Latest grades transcript (not older than 6 months)
- High school report
Important information:
- **Working part-time**: The focus is on studies. Therefore, working student is possible during the lecture period with a maximum of 20 hours per week.
- **Proper students (according to the German law) are welcome**: You must be enrolled and the examination results or modules of your studies must not have been completed yet, so that you can still work in our team for at least 6 months. You must also not be in a semester of leave.
- **You should live close to the site**: It is important for us to work with you on site and to integrate you into the team. You should therefore be able to come to the site regularly.
In our headquarters in Neubiberg near Munich, more than 6000 employees are working in research & development, several central functions, IT and many more.
**Further links**:
- Find out what we are looking for in your CV
- Discover our student website
**Driving decarbonization and digitalization. Together.**
The
**Business Excellence Department **contributes to Infineon's vision of a high-performance company. This goal is supported by the systematic use of quality management principles and tools in business management, with the goal of improving performance based on the principles of customer focus, stakeholder value, and process management.
**We are on a journey to create the best Infineon for everyone.**
This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills.
We look forward to receiving your resume, even if you do not entirely meet all the requirements of the job posting.
Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.
Click here for more information about Diversity & Inclusion at Infineon.
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