Intern - Machine Learning for Digital Holography

Das ist der Job

Huawei is a leading global information and communications technology (ICT) solutions provider.

Darum lohnt es sich

At the Kepler Research Center – Automotive Optics Team we are now looking for a: Intern - Machine Learning for Digital Holography (m/f/d) Your mission Perform research and develop algorithmic techniques in machine learning for computer‑generated holography in the field of optical displays and projection systems.

Engage in extensive interaction and close collaboration with co‑workers in the team and other departments, combining with top industry resources to achieve business objectives. Enthusiastic to work as part of an international team and fluent communication skills in English.

Your rewards of working here Our culture is characterized by innovative power and team spirit as well as the intensive exchange of knowledge and experience within our global network.

Self‑responsible work in a competent, motivated and constantly growing team. #J-18808-Ljbffr Driven by a commitment to operations, ongoing innovation, and open collaboration, we have established a competitive ICT portfolio of end‑to‑end solutions in Telecom and enterprise networks, Devices and Cloud technology and services.

Our ICT solutions, products and services are used in more than 170 countries and regions, serving over one‑third of the world’s population. With over 200,000 employees, Huawei is committed to develop the future information society and build a Better‑Connected World.

Huawei’s Kepler Research Center in Jena is responsible for advanced technology research and architectural development of optics‑related products. Optimize holographic projection systems by integrating machine learning to enable real‑time rendering, reduce noise, and enhance spatial resolution.

Go from the analysis of the application requirements, through solution design and system simulation, up to proof of concept and prototyping. Track the advanced technologies in the relevant fields, gain insight into and explore new technologies and directions.

Your areas of expertise Proven experience in the development of machine learning and/or deep learning models is preferred. Strong theoretical and practical background in signal processing, image processing, and/or computer vision is preferred. Advanced programming skills in Python and/or MATLAB.

Familiarity with optics, digital holography, and transformers is preferred. Excellent abilities in problem identification, analysis, and solving, and a systematic and goal‑oriented work approach. To keep your development ongoing, you will find a broad range of training opportunities, many online and face‑to‑face training programs.