The CSA division supplies sensors that bridge the gap between the world we live in and the digital world of machines. By converting physical signals - heartbeats, sounds, light waves - into data, we enable robots, cars and other devices to interact with people and improve our world. What drives CSA is a relentless desire to contribute to technology and have a meaningful impact on the world. This business thrives on solving complex problems and partnering with global leaders at the forefront of technological advancement. Our goal: to push the boundaries of sensor technology and empower innovators to make the world smarter, healthier and happier.
* Topic: Improving color consistency in photography using spectral ambient light sensors for automated white balancing
* Methods: Development and comparison of various algorithms for image optimization
* Objective: System optimization to enhance white balancing in camera images using spectral ambient light sensors and digital image processing
Focus areas:
* Image Pipeline Development
* Literature Review & Algorithm Integration
* Data Collection & Scene Design
* Sensor Simulation & Optimization
* Performance Evaluation
* Successfully completed studies (Master) in Electrical Engineering, Computer Science, Physics, or a related field
* Strong background in linear algebra, image processing, computer vision, and machine learning
* Experience with Python, MATLAB, or similar tools for data analysis and modeling
* Knowledge about camera systems, color science, or sensor technologies is a plus
* Excellent analytical, communication, and teamwork skills
* Fluent English language skills, German is an advantage