Research Assistant
Carnegie Mellon University, Doha, DAW, QA
This Full time on site position offers great opportunities for career growth.
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.
Required Skills
- 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.
Benefits
- comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions.
- tuition benefits.
- paid time off and observed holidays.
- life and accidental death and disability insurance.
- free Pittsburgh Regional Transit bus pass.
- access to our Family Concierge Team to help navigate childcare needs.
- fitness center access.
- and much more.
For a comprehensive overview of the benefits available, explore our Benefits page.
At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations.
Location Doha, Qatar
Job Function Researchers
Position Type Staff - Fixed Term (Fixed Term) Full Time/Part time Full time
Pay Basis Hourly
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