Research Intern – Machine learning and digital twins — ETH Zürich

NewCHF 62'000 - 94'000
ETH Zürich · Zurich (ZH)
Categoria: Ricerca Contratto: fixed-term Salario: CHF 62'000 - 94'000
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Location
Zurich
Contract
fixed-term
Posted
Yesterday
SalaryCHF 62'000 - 94'000

Role overview

Research Intern – Machine learning and digital twins

100%, Zurich, fixed-term print Drucken

inspire AG is the leading Swiss competence centre for product innovation and advanced manufacturing.

Application process

  • digital twin applications in real-world industrial systems.
  • The digital twin applications will include process
  • monitoring, estimation, analysis, optimization, and control policy development. The project requires
  • hands-on expertise in ML, time-series forecasting, modelling, and control of industrial plants. Job description
  • Develop customized Digital Twins for industrial applications using ML from real data
  • Develop and maintain the codebase to support various training modules and libraries
  • Collaborate with our industrial partner and collect extensive datasets on real hardware
  • Design and deploy control policy on industrial applications Profile Required experience

Contacts

Additional details

  • 100%, Zurich, fixed-term
  • with an industry partner. Project background
  • monitoring, estimation, analysis, optimization, and control policy development. The project requires
  • hands-on expertise in ML, time-series forecasting, modelling, and control of industrial plants.
  • Design and deploy control policy on industrial applications
  • Knowledge of German is beneficial.
  • High level of teamwork, positive work attitude and creativity.
  • We offer an internship position in our group, Control and Automation at inspire AG.
  • cooperation with our project partner, you will quickly establish contacts to industry.
  • Please send your full application to our HR departement hr@inspire:

Notes and original content

  • with an industry partner.
  • Project background
  • monitoring, estimation, analysis, optimization, and control policy development.
  • The project requires
  • Job description
  • Through the close
  • In our young team
  • Cover letter
  • Transcripts
  • References
Apply now
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ETH Zürich · Zurich
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