Deep Learning Researcher Generative Models

  • Robert-Bosch-Campus 1, Renningen, Germany
  • Full-time
  • Legal Entity: Robert Bosch GmbH

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.

The Robert Bosch GmbH is looking forward to your application!

Job Description

  • Development and implementation of novel Deep Learning algorithms
  • Evaluation of developed algorithms on open datasets and on multi-modal Bosch datasets from application areas such as autonomous driving, robotics, and Internet of Things
  • Focus topic of position: research on generative models, such as GANs and autoencoders. Perception in autonomous driving is one of the applications areas
  • Original research, theoretical investigations, and publications at top Machine Learning conferences and journals
  • Close contact to the scientific Machine Learning community, scouting and assessment of new approaches
  • Technical discussions and creation of new ideas within the existing Deep Learning research team
  • Supervision of Master and PhD students

Qualifications

  • PhD in Machine Learning (preferably Deep Learning) with excellent publication record
  • Degree in Computer science with mathematical focus or Mathematics with focus on computer (master/diploma)
  • Prior experience in adversarial examples and saliency is a plus
  • Proven programming skills, in particular Python
  • Experience in development and implementation of state-of-the art DL technologies. Preferably strong experience with Deep Learning frameworks Theano and Tensorflow
  • Broad knowledge of machine learning algorithms and principles
  • Strong teamplayer, motivation and ability to define personal research roadmap
  • Strong English skills

Additional Information

Need support during your application?
Michael Streitmayer (HR Department)
+49 711 811 33306

Need further information about the job?
Michael Pfeiffer (Business Department)
+49 711 811 18195

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