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Working Student - Machine Learning for Engineering Applications(m/w/x)
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
Languages
Tools & Technologies
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
- HuaweiFull-timeInternshipOn-siteNürnberg
- Huawei Research Center Germany & Austria
Internship: Energy Management System Development & Battery Optimization(m/w/x)
Full-timeInternshipOn-siteNürnberg - Huawei Research Center Germany & Austria
Internship – Advanced Battery System Modeling and Algorithm Development(m/w/x)
Full-timeInternshipOn-siteNürnberg - Huawei
Intern - Power Electronics for Datacenter Applications(m/w/x)
Full-timeInternshipOn-siteNürnberg - Huawei Research Center Germany & Austria
Student Intern – Power Electronic Converter Design(m/w/x)
Full-timeInternshipOn-siteNürnberg
Working Student - Machine Learning for Engineering Applications(m/w/x)
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
Languages
Tools & Technologies
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
About the Company
Fraunhofer-Gesellschaft
Industry
Research
Description
Das Unternehmen ist eine der führenden Organisationen für anwendungsorientierte Forschung mit 76 Instituten in Deutschland.
- Huawei
Intern - Energy Management System Development & Battery Optimization(m/w/x)
Full-timeInternshipOn-siteNürnberg - Huawei Research Center Germany & Austria
Internship: Energy Management System Development & Battery Optimization(m/w/x)
Full-timeInternshipOn-siteNürnberg - Huawei Research Center Germany & Austria
Internship – Advanced Battery System Modeling and Algorithm Development(m/w/x)
Full-timeInternshipOn-siteNürnberg - Huawei
Intern - Power Electronics for Datacenter Applications(m/w/x)
Full-timeInternshipOn-siteNürnberg - Huawei Research Center Germany & Austria
Student Intern – Power Electronic Converter Design(m/w/x)
Full-timeInternshipOn-siteNürnberg