Job Description

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