Master Thesis Machine Learning Techniques For Electrical Circuit Simulation (f/m/div)

München, BY, DE, Germany

Job Description

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Your Role





The thesis project aims at studying machine learning approaches in the field of electrical circuit simulation.



Key responsibilities in your new role

Lifelong learning

: Performing simulations of electrical circuit at the system level

Expand your horizons

: Developing and evaluating the use of AI-based algorithms for modelling physical systems

Experience research

: Gaining practical experience with modern simulation tools and state-of-the-art algorithms and applying them in an industrial environment

Convince with words

: Documenting the results and presenting the research findings to colleagues and management


Your Profile





Qualifications and skills to help you succeed

Study field:

You are currently at the end of your master’s studies in Electrical Engineering, Computer Science, Physics or similar

Experience & Interest:

You have an advanced understanding of machine learning and neural networks as well as circuit simulation methods and electrical engineering

Skills:

You are familiar with Python, AI algorithms and preferably also circuit simulation tools

Language skills:

You are fluent in English with German as a plus


Please attach the following documents to your application:

CV in English Certificate of enrollment at university Excerpt of the study regulations for the thesis (if applicable) Latest grades transcript (not older than 6 months) High school report


Contact:



Kerstin Semmler



Further links:



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Job Detail

  • Job Id
    JD4192719
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Vollzeit
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    München, BY, DE, Germany
  • Education
    Not mentioned