Internship Deep Learning applications for driving assistance systemsLeonberg, GermanyFull
Robert Bosch GmbH
LeonbergBack
vor 1 Tg.

Company Description

Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.

TheRobert Bosch GmbH is looking forward to your application!

Job Description

  • Take responsibility : The internship is framed in the area of video-based parking assistance systems. Such systems are already integrated in series production and are continuously being improved.
  • Therefore, the algorithms require a thoughtful analysis in respect to the quality and reliability of the results. The goal of this position is to support our team in the software development, data analysis and conduction of scientific experiments of deep learning methodologies applied to our specific products.

  • Integrated implementation : A structured working mentality is very important in order to be able to develop software packages suitable for the extension for future requirements, including the documentation of the implemented modules.
  • Additionally, the processing time should be taken into consideration, since the software must be able to process a big amount of video sequences in order to generate representative statistics.

    Qualifications

  • Education : Masterstudies in the field of Computer science, Electrical engineering, Mathematics, Physics or similar
  • Character : Independent and self-initiative
  • Working Practice : Responsibly and organized
  • Experience : Practical experience in Deep Learning and / or computer vision, strong knowledge of Python and good knowledge of a deep learning framework (e.
  • g. Pytorch, Tensorflow)

  • Knowledge : Ideally in Statistics and Code / Project portfolio (e.g. github, bitbucket)
  • Languages : Very good in written and spoken English
  • Additional Information

    Start : according to prior agreement

    Duration : 3 - 6 months

    Requirement for this internship is the enrollment at university. Please attach a motivation letter, your CV, transcript of records, enrollment certificate, examination regulations and if indicated a valid work and residence permit.

    Need further information about the job?

    Fernando German Torales Chorne (Business Department)

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