We seek a motivated Research Assistant to join our team working on an innovative project focused on indoor context aware systems. The successful candidate will be involved in various aspects of the research, including indoor localization solutions, prototyping wearable multi-sensor devices, and creating multi-modal datasets for indoor trajectory prediction.
Responsibilities:
- Assist in developing context aware solutions using multi-modal deep learning techniques.
- Contribute to creating a comprehensive multi-modal dataset for indoor trajectory prediction, including data collection and annotation.
- Collaborate with team members and external partners to meet project objectives.
- Assist in data analysis, interpretation, and reporting of research findings.
Desired Candidate Profile
- Bachelor's degree in Computer Science, Electrical Engineering, or a related field.
- Strong programming skills in languages such as Python and C/C++.
- Familiarity with deep learning frameworks (e.g., PyTorch).
- Familiarity with Linux and command-line usage.
- Experience with sensor integration, data collection, and analysis.