PHD - leveraging verification methods for DNN safety

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 At Bosch we are working on technologies for highly automated driving that enable the car to perceive and judge its current environment and to behave appropriately. A key element are sensor-based perception functions based on trained deep neural networks. An important question in this context is how such perception algorithms can be designed and tested efficiently and effectively in order to derive well-founded assurance about their performance under real-world conditions

* Create Something New

:
you will help us to develop relevant verification methods for deep learning based computer vision applications in your phd thesis. * use your creativity and freedom:

you find suitable abstractions for efficient and effective testing deep-learning based perception functions. * help shape the future:
you apply the methods that you developed to industrial computer vision applications in the area of highly automated driving and shape the future of assurance in this field. * experience cooperation:

furthermore, you work in an innovative environment on the intersection of machine learning and verification. qualifications * education:

master degree in computer science, mathematics or a comparable qualification * personality:

team-minded, motivated and communicative character * working practice:

you work autonomously, systematically and think analytically * experience and knowledge:
well-founded theoretical and practical experience in machine learning and deep learning. in addition, you have very good programming skills, ideally in python or c++ * languages:

excellent english skills suitable for advanced engineering topics and good in german (written and spoken) additional information the final phd topic is subject to your university. duration:

3 years please submit all relevant documents (incl. cover letter, curriculum vitae, certificates). need support during your application? kevin heiner (human resources) +493 need further information about the job? rainer gmehlich (functional department) +491 videos to watch job location

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