Thesis - AI Compensation Using Multi-Sensor Wearable Systems at Bosch Group

Reutlingen, Baden-Württemberg, Germany -

Full Time

Start Date

Immediate

Expiry Date

06 Jan, 26

Salary

0.0

Posted On

08 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Circuit Design, 3D Printing, Python Programming, Machine Learning, Anomaly Detection, Data Collection, Algorithm Development, Prototype Design

Industry

Software Development

Description

Company Description Bosch Sensortec GmbH develops and markets key technologies in consumer electronics – micro-electro-mechanical sensors (MEMS), solutions and systems for smartphone applications, tablets, video game consoles, wearables, and the Internet of things. The sensors enable devices to recognize their surroundings and to transmit the data collected. MEMS are therefore part of the foundation for a networked world. Bosch Sensortec GmbH is a wholly owned subsidiary of Robert Bosch GmbH. The Bosch Sensortec GmbH is looking forward to your application! Job Description As part of your thesis, you will design and implement a wearable prototype (Smartphone dummy). Furthermore, you will collect comprehensive datasets under real-life motion and environmental conditions. In addition, you will characterize the types and frequencies of anomalies found in field data. Your task includes developing and comparing algorithms for anomaly detection and compensation techniques. Last but not least, you will evaluate the accuracy and effectiveness of the proposed methods using a ground truth. Qualifications Education: Bachelor studies at least in the 4. semester or Master studies, in any field Experience and Knowledge: in Circuit design, 3D printing, Python programming and Machine Learning Personality and Working Practice: you are a self-sufficient, creative and research-oriented individual Work Routine: office work Enthusiasm: for cutting-edge AI algorithms and modern sensor technology Languages: business fluent in English Additional Information Start: according to prior agreement Duration: 4 - 6 months Requirement for this thesis is the enrollment at university. Please attach your CV, transcript of records, examination regulations and if indicated a valid work and residence permit. You are almost finished with your Bachelor's degree and would like to gain some practical experience before embarking on your next academic adventure with a Master's degree? Then you fit in perfectly well with our PreMaster's program! Take a look at our vacancies here. Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity. Need further information about the job? Dennis Huber (Functional Department) +49 173 522 1643 #LI-DNI

Responsibilities

You will design and implement a wearable prototype and collect comprehensive datasets under real-life conditions. Additionally, you will develop and compare algorithms for anomaly detection and compensation techniques.