PHD Student Color Consistency and Automated White Balancing (d/m/f) - temporary for 3 years (Jena, DE, 07745) bei OSRAM Americas | OSRAM SYLVANIA Homepage

Sense the power of light

The ams OSRAM Group is a global leader in innovative light and sensor solutions. With more than 110 years of industry experience, we combine engineering excellence and global manufacturing with a passion for cutting-edge innovation enabling transformative advancements in the automotive, industrial, medical, and consumer industries. “Sense the power of light” – our success is based on the deep understanding of the potential of light and distinct portfolio of emitter and sensor technologies. Around 19,700 employees worldwide drive innovations alongside societal megatrends.
Find out more about us on https://ams-osram.com

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.

Your new responsibilities

• 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

Who we are looking for

• 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

Please contact Stefanie Kleierl for further information via [email protected] or +49 (941) 8501391.