Thesis compression of deep neural networks
neues Angebot (05/03/2020)
stellenbeschreibung
Job Description 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 Deep neural networks are the method of choice for many real-world applications, but their resource-efficient execution in both embedded devices and data centers remains a challenge* Contribute to Progress
:the goal of this master thesis position at the bosch center for artificial intelligence (bcai) is to develop innovative approaches to improve the power-efficiency of deep neural networks. * structured observation:
you work on original research on compression methods towards energy-efficient deep neural networks. * implement holistically:
you develop and implement network architectures and training algorithms. * networked communication:
collaborations, technical discussions and creation of new ideas with deep learning and hardware experts at bosch corporate research are also part of your tasks. * integrated implementation:
optionally, you publish the original research in conference proceedings or journals. qualifications * education:
masterof sciencestudies in the field of computer science, mathematics, physics, engineering or comparable with excellent grades * character and working practice:
strong team player who is able to work in interdisciplinary teams * experience:
incomputer engineering * knowledge:
profound knowledge about machine learning, preferably deep learning and proven programming skills, preferably python and/or c++ * languages:
fluent in english additional information start:
according to prior agreement duration:
6 months requirement for this thesis is the enrollment at university. please attach a motivation letter, your cv, transcript of records, examination regulations and if indicated a valid work and residence permit. need further information about the job? thomas pfeil (business department) +494
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