Thesis - AI Compensation Using Multi-Sensor Wearable Systems

Robert Bosch Group; Jettenburg; Vor Ort; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

A leading technology firm is seeking a candidate for a thesis focusing on AI compensation using multi-sensor wearable systems. You will design a wearable prototype, collect real-life data, and develop anomaly detection algorithms. Ideal candidates should be enrolled in Bachelor's or Master's studies, with skills in circuit design, Python, and a keen interest in modern sensor technology. Duration is 4-6 months.

Qualifikationen

• Self-sufficient, creative, and research-oriented individual required.
• Business fluent in English.

Aufgaben

• Design and implement a wearable prototype.
• Collect datasets under real-life conditions.
• Characterize anomalies in field data.
• Develop and compare algorithms for anomaly detection.
• Evaluate accuracy of proposed methods.

Kenntnisse

Circuit design

3D printing

Python programming

Machine Learning

Ausbildung

Bachelor studies (at least 4th semester) or Master studies

Jobbeschreibung

Thesis - AI Compensation Using Multi-Sensor Wearable Systems

Bosch Sensortec GmbH develops and markets key technologies in consumer electronics – 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!

Responsibilities

• 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: Bachelorstudies 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

Start and Duration

Start: according to prior agreement

Duration: 4 - 6 months

Application Requirements

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

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)

[phone]