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Improving the Design Process of Magnetic Components through the Use of AI/ML Algorithms
xxx
Keywords: xxx
Magnetic components,
such as transformers and inductors, are pivotal for
advancing the field of power electronics. Leveraging these components to their
full capability is essential for enabling the optimal use of Wide Bandgap
semiconductor s in power electronics applications
Frenetic, a pioneering startup
based in Madrid & San Francisco with research
office in Zurich , offers comprehensive solutions for magnetics from design to
production, emphasizing the importance of accurate mode l ling.
Currently,
we are seeking motivated students that work on Machine Learning
based approaches for the design of inductors in power electronics. Your goal is
to obtain an optimized design regarding efficiency and power density. Ultimately,
the design has to be verified with the inductor of a Buck converter.
You
will gain hands on experience, merging theory with practice , contributing to
sign ificant advancements in power electronics.
Magnetic components, such as transformers and inductors, are pivotal for advancing the field of power electronics. Leveraging these components to their full capability is essential for enabling the optimal use of Wide Bandgap semiconductor s in power electronics applications Frenetic, a pioneering startup based in Madrid & San Francisco with research office in Zurich , offers comprehensive solutions for magnetics from design to production, emphasizing the importance of accurate mode l ling. Currently, we are seeking motivated students that work on Machine Learning based approaches for the design of inductors in power electronics. Your goal is to obtain an optimized design regarding efficiency and power density. Ultimately, the design has to be verified with the inductor of a Buck converter. You will gain hands on experience, merging theory with practice , contributing to sign ificant advancements in power electronics.
Dr. Jonas Mühlethaler, jonas@frenetic.ai
Dr. Jonas Mühlethaler, jonas@frenetic.ai
40 % Coding
20 % Laboratory
40 % Theory
40 % Coding 20 % Laboratory 40 % Theory
Interest and knowledge in power, electronic systems, Interest in the physics, modelling, and
design of magnetic components, Working language: English/German
Interest and knowledge in power, electronic systems, Interest in the physics, modelling, and design of magnetic components, Working language: English/German
20240424_HPE_ETHZ_SAMA_AI_design.pdf
