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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

4Open Positions

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  • H

    Internship in Surrogate Modelling of Power Converters 80 - 100% (f/m/d)

    hitachi-insight-group
    Baden-Daettwil, Switzerland
    Found 3 weeks ago
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    NXP Semiconductors
    Munich, Germany
    Found 3 weeks ago
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    AMD
    Belfast, United Kingdom
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    Technische Universität Berlin
    Berlin, Germany
    Found 1 month ago
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    GE Vernova
    Belfort, France
    Found 2 months ago
H

Internship in Surrogate Modelling of Power Converters 80 - 100% (f/m/d)

hitachi-insight-group
Found 3 weeks ago
Location
Baden-Daettwil, Switzerland
Duration (Months)
6 Months
Time
Full-time
Work Mode
On-site
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
3 weeks ago

Education

  • Master

Skills & Qualifications

Technical Skills

  • machine learning
  • computational science
  • power electronics
  • Python programming
  • Simulink
  • PSCAD
  • PLECS

Soft Skills

  • Excellent communication skills
  • team player attitude
  • initiative
  • creativity

Job Description

The System and Automation team at the Swiss research center is looking for an intern student with expertise in machine learning, computational science, or power electronics to contribute to the development of next generation of power converters for energy storage, renewables, and data-center applications. You will interact with dynamic and multidisciplinary teams that will supervise and guide the project. If you have strong technical background, motivation to develop innovative solutions, and you are goal-oriented, this is your opportunity to contribute to a stronger and more sustainable energy future. The duration of the internship is six months. How you'll make an impact * Support technology development and research activities in ML-design applied to control systems for power electronics converters * Perform state-of-the-art analysis and technology reviews. Benchmark the achieved results against state-of-the-art solutions for the given application * Develop design codes and simulation prototypes to assess the performance of the control system under different operating conditions * Disseminate and report your results with the teams, write technical documentation, propose creative and efficient solutions towards industrial implementation.

Requirements

  • Enrolled in an MSc program in Machine Learning, Applied mathematics or Computational science, Control and Automation Engineering, Power Electronics, or a related field
  • Solid background in applied machine-learning techniques, computational science, or control for power electronics converters
  • Experience in Python programming and / or simulation tools for power electronics design and control (Simulink, PSCAD, PLECS) is strongly appreciated
  • Excellent communication skills, team player attitude, initiative, and creativity
  • Fluency in English, written and spoken

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English

Nice to Haves

  • simulation tools for power electronics design and control
▶Apply Now

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