Working Student: Machine Learning and Signal Processing (f/m/div)

3 Apr 2024
Job Information

Organisation/Company

Infineon Technologies

Research Field

Computer science

Researcher Profile

Recognised Researcher (R2)

Country

Germany

Application Deadline

2 May 2024 - 00:00 (UTC)

Type of Contract

To be defined

Job Status

Full-time

Hours Per Week

To be defined

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

We are one of the 15% most sustainable companies in the world. Do you want to be part of an agile and globally operating corporation, in whose high-tech environment you can further develop your Machine Learning skills? Then apply now and help us to make life easier, safer and greener. We are looking forward to your application!

Job description:

• 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
• Reliable work: You support the Machine Learning pipeline pipeline as well as the final real-time application on rPi and/or microcontroller
• Being strong together: You will work within an innovative development environment and be part of a dynamic team, fostering collaboration

Your Profile:

• 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

Please attach the following documents to your application:

• 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.

Why Us:

Find out what we are looking for in your CV
Find out how the student application process works with us
Discover our student website

Driving decarbonization and digitalization. Together.
Infineon designs, develops, manufactures, and markets a broad range of semiconductors and semiconductor-based solutions, focusing on key markets in the automotive, industrial, and consumer sectors. Its products range from standard components to special components for digital, analog, and mixed-signal applications to customer-specific solutions together with the appropriate software.

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.

Requirements
Additional Information
Work Location(s)

Number of offers available

1

Company/Institute

Infineon Technologies

Country

Germany

Geofield

Where to apply

Website

https://illbeback.ai/job/working-student-machine-learning-and-signal-processing…

STATUS: EXPIRED