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Bosch Gruppe | Germany | Renningen | Full time | Published since: 15.02.2025 on stepstone.de

Promotion - ML-supported design of highly reliable, cognitive sensor networks in semiconductor manufacturing


Do you want to turn your ideas into useful and meaningful technologies? Whether in the area of Mobility Solutions, Consumer Goods, Industrial Technology or Energy and Building Technology - with us you improve the quality of life of people around the world. Welcome to Bosch. Robert Bosch GmbH is looking forward to your application!

Type of employment: Limited Working time: Full time Place of work: Renningen

* After clicking the 'Read more' button, the original advert will open on our partner's website, where you can see the details of this vacancy and contact information. If you need a translation of this text, after returning to our website it will be prepared and you can read it by clicking the 'Translation' button.

Do you want to turn your ideas into useful and meaningful technologies? Whether in the area of Mobility Solutions, Consumer Goods, Industrial Technology or Energy and Building Technology - with us you improve the quality of life of people around the world. Welcome to Bosch. Robert Bosch GmbH is looking forward to your application!

Type of employment: Limited Working time: Full time Place of work: Renningen The aim of the doctorate is to create a reliable and cognitive sensor network (with different sensor types, positions and types), which detects disturbance variables within the scope of sensor fusion (e.g. signal drift). It should therefore be possible to enable a central consciousness (“sensory cortex”) of the sensors that is built up by continuous learning. With this approach, important properties for reliability, such as self-healing or Repair, automatic calibration or Learning and optimization within the sensor network can be made possible. During your doctorate, you mainly conduct scientific research on the system-theoretical approaches, e.g. from automotive and biology (state of technology and research). They develop system properties, theoretical solutions and models of sensor networks, including methodological evidence, possibly by simulative validation. You can also design and program cognitive algorithms to evaluate and ensure reliability in the sensor network. In addition, build and program a demonstrator. Last but not least, you are responsible for experimental validation and optimization in the test field as well as in the standard environment.

Education: very good university degree (Master/Diplom) in the field of (Technical) computer science, (Technical) mathematics, technology, technical cybernetics or comparable Experiences and know-how: sound knowledge in the fields of signal processing, system theory, modelling and simulation; Experience in creating complex, object-oriented software (e.g. C++, Python, .NET and SECS Message Services) Personality and working methods: You can easily grasp complex facts quickly, you have excellent skills in scientific research and you like to work in an interdisciplinary environment Enthusiasm: Interest and joy in analytical theoretical and experimental research activities Languages: good German and English in word and writing

Work-Life Balance: Flexible work in terms of time, location and work model. Health and Sports: Wide range of health and sports activities. Childcare: childcare services. Employee discounts: Advantages for employees. Free space for creative work: free space for creative work. Social counselling and care: Social counselling and brokerage services.

The future personnel department or the department will be happy to inform you about the individual service catalogue. .

Company location

Location

ava Bosch Gruppe
Renningen
Germany

The text of this ad was translated from German into English using an automatic translation system and may contain semantic and lexical errors. Therefore, it should be used for introductory purposes only. For more detailed information, see the original text of the ad at the link below.

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