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FEFerdinand-Braun-Institut

Master thesis: Machine Learning in VCSEL Epitaxy(m/w/x)

Berlin
Part-timeWorking StudentOn-site
AI/ML
Data Science
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Analyzing white-light reflectance measurements for VCSEL epitaxy research. Machine learning and optoelectronics knowledge required. Flexible working hours, modern workplace.

Requirements

  • Master's program enrollment in Physics, Electrical Engineering, Computer Science, Photonics, or related field
  • Prior knowledge in machine learning, data science, measurement technology, optoelectronics
  • Interest in data, experimental work, and innovative technologies
  • Structured working style and team spirit

Tasks

  • Analyze white-light reflectance measurements
  • Work with corresponding data
  • Select suitable WLR datasets
  • Review WLR datasets
  • Evaluate WLR datasets
  • Prepare WLR datasets for training
  • Train neural network using ML framework
  • Prefer Python-based ML frameworks
  • Test model with trained data
  • Test model with untrained data
  • Compare ML models to traditional feature extraction methods
  • Evaluate success rate of ML models

Education

  • Currently in higher education

Languages

  • English – Business Fluent

Benefits

Flexible Working

  • Flexible working hours

Informal Culture

  • Supportive team

Modern Office

  • Modern workplace

Parking & Commuter Benefits

  • Excellent public transport connections

Other Benefits

  • Valuable experience
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Ferdinand-Braun-Institut 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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