- 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 Bachelors degree and would like to gain some practical experience before embarking on your next academic adventure with a Masters degree Then you fit in perfectly well with our PreMasters 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
#LI-DNI
Remote Work :
No
Employment Type :
Full-time
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 ...
- 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 Bachelors degree and would like to gain some practical experience before embarking on your next academic adventure with a Masters degree Then you fit in perfectly well with our PreMasters 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
#LI-DNI
Remote Work :
No
Employment Type :
Full-time
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