Working Student: Machine Learning and Signal
vor 7 Monaten
**Shape the future**: You actively contribute by programming in python and in C/C++ for
Machine Learning and real-time microcontroller implementation
- **Data is everything**: You implement data processing, filtering and Machine Learning models for Hand Gesture Recognition (HGR) on ultrasound data
- **Being strong together**: You will work within an innovative development environment and be part of a dynamic team, fostering collaboration
- **Study field**: You are currently studying computer science, physics, mathematics, computer engineering, electrical engineering or similar
- **Skills**: You possess very good programming skills in python and C/C++
- **Experience**: You have experience in microcontroller programming, and you are knowledgeable in data processing and filter design
- **Way of working**: You are able to work independently and think strategically
- **Language skills**: You have very good English skills, both 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.
Find out what we are looking for in your CV
Discover our student website
**Driving decarbonization and digitalization. Together.**
The **Business Excellence **Department (BEX) drives digital transformation and innovation at Infineon. It coordinates Infineon’s overarching Digital Agenda and supports the Divisions and Functions in achieving profitable growth. The broad spectrum of BEX teams includes Artificial Intelligence, Agile Ways of Working, Innovation Ecosystems and Startup Co-Innovation, R&D Excellence, Corporate Regulations Management as well as Digitalization, Data & Processes.
**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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