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Working student– Machine learning in physical simulations

Location: Schwaig, Bavaria, Germany
Job ID: 45908
Date Posted: Oct 7, 2020
Segment: Others (Including Headquarters and R&D )
Business Unit: Hitachi Regional Headquarters
Company Name: Hitachi Europe GmbH (Germany)
Profession (Job Category): R&D
Job Type (Experience Level): New Graduate
Job Schedule: Part-time
Remote: Optional

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Beschreibung (extern)

 

Hitachi is one of the world's leading companies in the electrical industry. Technical innovations for the future are our greatest challenge. The product range of our Group comprises more than 20,000 components and solutions. More than 325,000 employees help us to continuously develop international standards and distribute high-quality complex components and systems.

The continuously improved accuracy of machine learning techniques and the development of increasingly efficient dedicated hardware architectures makes machine learning more and more attractive in the scope of high-fidelity physical simulations.

To strengthen our innovative Automotive & Industry Laboratory as a part of the European R&D centre from the fields of modelling/simulation and machine learning, working either remotely or in our office in Schwaig we are looking for a

 

Working student– Machine learning in physical simulations (m/f/d)

(potentially in combination with a Master Thesis)

 

 

Your responsibilities:

  • Generate a detailed understanding of the subject matter and available applications
  • Support to identify use cases for introducing machine learning in our existing simulation workflows
  • Develop a machine learning model for a specific use case, including training, testing and, validation
  • Presentation and optionally publication of the results

 

                              

 

Qualifikationen (extern)

  • Ongoing study in computational engineering, mechanical engineering, computer science, mathematics, physics or similar
  • Fundamental understanding of either machine learning techniques or physical simulations, ideally both
  • Experience with at least one programming language, preferably Python and C++
  • Highly motivated and fast learner
  • Fluent in English (written and spoken), German is a plus
  • Enjoyment of work in an innovative R&D environment
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