Internship or Master Thesis (m/f/d)

at  Sony Electronics

Stuttgart, Baden-Württemberg, Germany -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate23 Aug, 2024Not Specified25 May, 2024N/ARadar,C++,Lidar,Python,Matlab,Programming Languages,Data ProcessingNoNo
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Description:

Sony is one of the most innovative companies in the world and drives the development of technology in a global network of research institutions. The Stuttgart Technology Center (STC) was founded in 1989. As part of the Sony Semiconductor Solutions Europe Group the Stuttgart Laboratory 1 (SL1) and the Stuttgart Laboratory 2 (SL2), are home to two research and development groups. Furthermore, the Automotive Semiconductor Sales & Marketing (ASSM group), the Technology Partnerships Europe (TPE) and Intellectual Property Europe (IPE) departments are part of STC.
Stuttgart Laboratory 1 conducts research in the areas of “Computational Imaging, Perception Systems, RF Communications, Artificial Intelligence and Speech & Sound Processing.”
To strengthen our team in SL1 we are currently looking for an
Internship or Master Thesis (m/f/d)
This is a full-time position at the Sony Technology Center in Stuttgart, Germany.

Your tasks:

  • Analyze multimodal sensor data (various cameras, Lidar, Radar, IMU, etc.)
  • Apply deterministic as well artificial intelligence algorithms detecting persons, obstacles or any objects
  • Port algorithm from public available sources like OpenCV, autoware, OpenMMLab, etc. into Sony’s environment
  • Develop sensor fusion functionality, associate objects identified by one sensor modality with other sensor modality
  • Post process prerecorded data creating a meta-data description of the environment or scenery

Requirements:

  • Programming languages: C++, Matlab and/or Python
  • Knowledge on automotive sensors or projects using Camera, Lidar, Radar
  • Big Data processing

We offer:

  • The opportunity to work in an international team with diverse expertise ranging from acoustics, analogue hardware to digital signal processing, machine learning and informatics
  • The chance to apply your skills and theoretical knowledge in cutting-edge research activities
  • Learning more about state-of-the-art technology in your field of interest
  • An open and international environment with engineers and students from many different countries
  • Internship: A compensation of 1900 € per month (gross) plus support for local public transportation and lunch subsidiary
  • Bachelor Thesis/ Master Thesis: A compensation of 1300 € per month (gross) plus support for local public transportation and lunch subsidiary

Application:

  • Documents: curriculum vitae, grades, application letter, and (if available) testimonials of your previous tasks
  • Applications without complete CV and list of grades cannot be considered
  • The application letter should include whether you are interested in an Internship or Master Thesis position as well as the earliest possible starting date
  • In general, Master Thesis positions should last 6 months; Internship positions typically should last 3 to 6 months
  • Please refrain from applying, if you have already graduated or you will be by an expected start date

Become part of the Sony family– hence a part of the future! We are looking forward to answering your questions and to getting into contact with you. Please send your CV and application via our online tool

Responsibilities:

  • Analyze multimodal sensor data (various cameras, Lidar, Radar, IMU, etc.)
  • Apply deterministic as well artificial intelligence algorithms detecting persons, obstacles or any objects
  • Port algorithm from public available sources like OpenCV, autoware, OpenMMLab, etc. into Sony’s environment
  • Develop sensor fusion functionality, associate objects identified by one sensor modality with other sensor modality
  • Post process prerecorded data creating a meta-data description of the environment or scener


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Graduate

Proficient

1

Stuttgart, Germany