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Master Thesis: Application Engineering 3D Imaging (f/m/div) at Infineon Technologies AG Australia

Graz, Styria, Austria -

Full Time

Start Date

Immediate

Expiry Date

12 Feb, 26

Salary

0.0

Posted On

14 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, C++, 3D Image Data Processing, Simulation, Algorithms, ROS

Industry

Semiconductor Manufacturing

Description

Implement a ToF (Time-of-Flight) sensor model into the "Nvidia Isaac Sim" to enable simulated 3D TOF data generation for AI model training You successfully meet the requirements, if you are a motivated and committed master student from the field of Informatics, Computer Engineering, Computer Science, or similar. Knowledge and experience in software development with Python and C++ Strong interest in 3D image data processing, simulation and algorithms Knowledge of ROS as a plus Fluent in English, good German knowledge as a plus - Power & Sensor Systems (PSS) drives leading-edge power management, sensing and data transfer capabilities - Infineon PSS semiconductors play a vital role in enabling intelligent power management, smart sensitivity as well as fast and reliable data processing in an increasingly digitalized world. Our leading-edge power devices make chargers, adapters, power tools and lighting systems smarter, smaller, lighter and more energy-efficient. Our trusted sensors increase the context sensitivity of “things” and systems such as HMI, and our RF chips power fast and reliable data communication. 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.

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Responsibilities

Implement a ToF (Time-of-Flight) sensor model into the 'Nvidia Isaac Sim' to enable simulated 3D TOF data generation for AI model training. This role involves working on advanced power management and sensing technologies.