Huawei Research Center Germany & Austria
Intern - Deep Learning for 3D Display Systems(m/w/x)
Full-timeInternshipOn-site
Jena
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HUHuawei Research Center Germany
AI Research Intern for Optical Field Manipulation Algorithms(m/w/x)
Jena
Full-timeInternshipOn-site
AI/ML
Data Science
Nejo AI Summary
Researching deep-learning algorithms for optical field manipulation and developing phase pattern optimization techniques. Hands-on experience with LCoS devices or end-to-end deep learning model development required. Healthy meals in company canteen, online and face-to-face training programs.
Requirements
- Bachelor’s, Master’s, or PhD student in optics, physics, mathematics, electrical engineering, computer science, or related field
- Solid foundation in wave optics, Fourier optics, diffraction, interference, and laser principles
- Strong theoretical and practical background in optical field manipulation and machine learning
- Hands-on experience with LCoS devices, end-to-end deep learning model development, or familiarity with reinforcement learning
- Proficiency in Python and experience with deep learning frameworks such as TensorFlow or PyTorch
- Strong problem-solving and analytical skills, with structured and goal-oriented working style
- Enthusiasm for working in an international team and fluent English communication skills
Tasks
- Conduct research on deep-learning algorithms for optical field manipulation
- Develop phase pattern optimization techniques for far-field diffraction
- Create physical and data-driven models of LCoS devices
- Set up and manage experimental systems
- Collect and analyze measurement data
- Validate performance of predicted phase patterns
- Explore state-of-the-art methods in related fields
- Identify innovative research directions from academic publications and patents
- Collaborate with team members and cross-department partners
- Combine research and industry resources to achieve project goals
Education
- Currently in higher education
Languages
- English – Fluent
Tools & Technologies
- Python
- TensorFlow
- PyTorch
- LCoS devices
Benefits
Free or Subsidized Food
- Healthy meals in company canteen
Learning & Development
- Training opportunities
- Online training programs
- Face-to-face training programs
- German language courses
- Mandarin language courses
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Huawei Research Center Germany and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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HUHuawei Research Center Germany
AI Research Intern for Optical Field Manipulation Algorithms(m/w/x)
Jena
Full-timeInternshipOn-site
AI/ML
Data Science
Nejo AI Summary
Researching deep-learning algorithms for optical field manipulation and developing phase pattern optimization techniques. Hands-on experience with LCoS devices or end-to-end deep learning model development required. Healthy meals in company canteen, online and face-to-face training programs.
Requirements
- Bachelor’s, Master’s, or PhD student in optics, physics, mathematics, electrical engineering, computer science, or related field
- Solid foundation in wave optics, Fourier optics, diffraction, interference, and laser principles
- Strong theoretical and practical background in optical field manipulation and machine learning
- Hands-on experience with LCoS devices, end-to-end deep learning model development, or familiarity with reinforcement learning
- Proficiency in Python and experience with deep learning frameworks such as TensorFlow or PyTorch
- Strong problem-solving and analytical skills, with structured and goal-oriented working style
- Enthusiasm for working in an international team and fluent English communication skills
Tasks
- Conduct research on deep-learning algorithms for optical field manipulation
- Develop phase pattern optimization techniques for far-field diffraction
- Create physical and data-driven models of LCoS devices
- Set up and manage experimental systems
- Collect and analyze measurement data
- Validate performance of predicted phase patterns
- Explore state-of-the-art methods in related fields
- Identify innovative research directions from academic publications and patents
- Collaborate with team members and cross-department partners
- Combine research and industry resources to achieve project goals
Education
- Currently in higher education
Languages
- English – Fluent
Tools & Technologies
- Python
- TensorFlow
- PyTorch
- LCoS devices
Benefits
Free or Subsidized Food
- Healthy meals in company canteen
Learning & Development
- Training opportunities
- Online training programs
- Face-to-face training programs
- German language courses
- Mandarin language courses
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Huawei Research Center Germany and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Huawei Research Center Germany
Industry
IT
Description
Huawei is a leading global ICT solutions provider advancing innovation in information and communications technology.
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