PhD - Property Prediction for Embedded (AI) Systems
Role details
Job location
Tech stack
Job description
Network Machine Learning Data Processing Cloud CAN Spirit Solid HR-Bereich Entwicklungsumgebungen Matlab TARGET START YouTube across C-Programmiersprachen Origin Übersetzungssoftware Mobile App Python TensorFlow GitHub Programmiersprachen Support Engineering Engagement, Your tasks Recent advances in deep learning (DL) provide high accuracy for various tasks targeting a wide range of applications ranging from Tiny ML that typically run on low power devices up to foundation and large language models running on cloud-based systems. One core discipline in the development process lies the modeling and performance estimation of the target system. With this work we want to push the boundaries of the current state of the art to adapt to the increasingly rapid development cycles with new approaches to faster predict and evaluate the performance behavior of future systems.
- In this PhD project, you will investigate how to extract different hardware characteristics and the possible ways to model them at different levels of abstractions, efficiency, as well as accuracy.
- You will inspect how to use these characteristics to predict performance for different workloads on a target hardware platform and across platforms.
- As a part of our team, you will explore different novel machine learning based methods including their applicability and efficiency compared to the conventional modeling methods.
- Furthermore, you will discover different machine learning compilers and their usage as part of the modeling workflow and the related optimizations that can facilitate more efficient as well as accurate predictions., Our Research Campus in Renningen, Germany, is the international hub of our Corporate Sector Research and Advance Engineering, the Cross-Domain Computing Solutions division, and the Bosch Center for Artificial Intelligence. Here, associates from all over the world are dedicated to finding answers to tomorrow's questions. To ensure our researchers' ideas can develop and flow freely, the campus has been set up to encourage direct, easy communication and nurture inspiration - an environment where creativity knows no bounds. Are you ready to join us in shaping the future? Your innovative spirit and curiosity are just what we're looking for., * Abstraktionen, Algorithmus, Analyse von Leistungssystemen, C++, Datenschutz, Deep Learning, Digitale Elektronik, Elektrotechnik, Embedded Systems, Hardware Platform Interface, Informatik, Information Engineering, Künstliche Intelligenz, Künstliche Neurale Netzwerke, Large Language Models, Machine Learning, Mathematik, Matlab, Mikroelektronik, Programming Languages, Python, Pytorch, Tensorflow
Requirements
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Arbeitszeit Vollzeit
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Typ Festanstellung, * Education: excellent degree (Master or Diploma) in Electrical Engineering, Information Engineering, Microelectronics or Informatics
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Experience and Knowledge: proficiency in programming languages (C/C++, Python, Matlab), good skills in modern mathematics, e.g. Machine Learning (TensorFlow, PyTorch, etc.), Solver, Neural Networks, knowledge of AI algorithms, experience in digital hardware, embedded systems as well as in SoC architectures
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Personality and Working Practice: you enjoy being creative and asserting yourself in certain topics; you like working in a team and understand how to think in a structured, abstract, and strategic way to achieve the best possible performance
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Languages: fluent in English, German is an advantage, * Bachelor
Benefits & conditions
Supported employee car park on site, free bicycle parking in the courtyard, secure bicycle parking space for rent, e-bike charging stations
Company doctor on site Occupational health care and counselling by internal medical staff, free vaccinations, attractive health insurance, psychosocial and therapeutic counselling, personal health care, workshops and lectures on the subject of health, company pension scheme from the 3rd year at Bosch
Discounts for employees Discounted purchasing conditions with us and our partner companies, subsidised cultural and leisure events