Thesis - AI Compensation Using Multi-Sensor Wearable Systems

Your tasks

• 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.

Your profile

• Education: Bachelor studies at least in the 4. semester or Master studies, in any field
• Experience and Knowledge: 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

Contact & additional information

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.

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

Apply now