Research Assistant
On-siteDoha, Baladīyat ad Dawḩah, Qatar
Doha, Baladīyat ad Dawḩah, QatarOn-siteFull TimeBachelors DegreeTECHLarge
Full TimeBachelors DegreeLargeTECH
Job Summary
Develop context-aware solutions using multi-modal deep learning techniques and 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 while assisting in data analysis, interpretation, and reporting of research findings. This role focuses on indoor localization solutions and prototyping wearable multi-sensor devices within the CMU team.
Required Qualifications
- 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
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