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AI Research Intern for Optical Field Manipulation Algorithms(m/w/x)
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.
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Anforderungen
- 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
Aufgaben
- 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
Ausbildung
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Tools & Technologien
Benefits
- Healthy meals in company canteen
- Training opportunities
- Online training programs
- Face-to-face training programs
- German language courses
- Mandarin language courses
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens Huawei Research Center Germany erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Zur Originalanzeige bei Huawei Research Center GermanyÜber das Unternehmen
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