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FRFraunhofer-Gesellschaft

Working Student - Machine Learning for Engineering Applications(m/w/x)

Erlangen
Full-timeWorking StudentOn-site
AI/ML
Data Science

Developing Neural Network architectures for engineering applications and Reinforcement Learning pipelines for power electronics at research organization with 75 institutes. Student in scientific/engineering degree with Python/Pytorch/Tensorflow experience required. Cutting-edge research equipment, practical project work, international environment.

Requirements

  • Student in Computer Science, Electrical Engineering, Physics, Mathematics, or related scientific/engineering degree
  • Experience with Python, Pytorch, Tensorflow
  • Familiarity with Machine Learning
  • Familiarity with Reinforcement Learning (preferable)

Tasks

  • Develop and benchmark Neural Network architectures for engineering applications
  • Design Reinforcement Learning pipelines for power electronics applications
  • Improve existing ML/RL workflows (speed, tuning, usability)

Education

Currently in higher education

Languages

EnglishBusiness Fluent

Tools & Technologies

PythonPytorchTensorflowMachine LearningReinforcement Learning

Benefits

Flexible Working

  • Flexible working hours

Purpose-Driven Work

  • Insight into research projects

Modern Equipment

  • Cutting-edge research equipment

Diverse Work

  • Practical project work

Informal Culture

  • International working environment

Learning & Development

  • Personal development opportunities

Career Advancement

  • Good career reference
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