Intern - Machine Learning for Digital Holography

Das ist der Job

Track the advanced technologies in the relevant fields, gain insight into and explore new technologies and direction.

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) We are seeking a skilled candidate in machine learning for computer-generated holography in field of automotive head-up-display (HUD) applications.

Extensive interaction and close collaboration with co-workers in the team and from other departments, combine with top industry resources to achieve the business objectives. Enthusiastic to work as part of our 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.

Huawei's Kepler Research Center in Jena is responsible for advanced technology research and architectural development of optics-related products. Your mission Perform research and develop algorithmic techniques in machine learning for computer-generated holography in field of optical displays and projection systems.

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.

Your areas of expertise Proven experiences in development of machine learning and/or deep learning models are 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 systematic and goal-oriented work approach. By applying to this position, you agree with our Recruitment Privacy Statement. You can read in full our privacy policy here .

To keep your development ongoing, you will find a broad range of training opportunities. Many online and face-to-face training programs. Please send your application and CV (incl. cover letter and reference letters) in English. Huawei is a leading global information and communications technology (ICT) solutions provider.

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 208,000 employees, Huawei is committed to develop the future information society and build a Better Connected World.