Intern - Deep Learning for 3D Display Systems (m/f/d)

Huawei is a leading global information and communications technology (ICT) solutions provider. 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 Jena Research Center is responsible for advanced technology research and architectural development of optics-related products.

At the Jena Research Center – Advanced Optics Laboratory we are seeking a talented intern with expertise in deep learning to contribute to 3D display system applications.

Join us as a

Intern - Deep Learning for 3D Display Systems (m/f/d)

Your mission

• Perform research and develop algorithmic techniques in deep learning and computational imaging for next-generation 3D display systems.
• Design and optimize projection and rendering algorithms to enable real-time performance, reduce artifacts, and enhance spatial resolution and visual quality.
• Analyze application requirements, design software and algorithmic solutions, and carry out simulation and proof-of-concept prototyping.
• Explore and evaluate state-of-the-art methods in computational display and related fields by tracking top-level publications, conducting patent research, and analyzing industry trends to identify promising directions for innovation.
• Extensive interaction and close collaboration with team members and cross-functional partners, combining from both research and industry to achieve project goals.

Your areas of expertise

• Currently enrolled as a Bachelor's, Master's, or Ph.D. student in optics, physics, mathematics, electrical engineering, computer science, or a related field.
• Proven experiences in development of deep learning models.
• Strong theoretical and practical background in signal processing, image processing, and/or 3D computer vision.
• Advanced programming skills in Python, and hands-on experience with deep learning frameworks such as TensorFlow or PyTorch.
• Familiarity with 3D display technologies and transformer-based deep learning is preferred.
• Experience with AI model deployment on computationally limited physical hardware is a plus.
• Excellent abilities in problem identification, analysis and solving, and systematic and goal-oriented work approach.
• Enthusiastic to work as part of our international team and fluent communication skills in English.

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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.
• We offer healthy meals ranging from traditional Chinese to western delicacies in our famous company canteen.
• To keep your development ongoing, you will find a broad range of training opportunities. Many online and face-to-face training programs incl. language courses in German and Mandarin.
• Our diverse and welcoming environment is shaped by different backgrounds and around 40 individual nationalities.
• Self-responsible work in a competent, motivated and constantly growing team.

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. 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.