Job Description

Roles & Responsibilities

We are seeking a motivated Graduate Research Assistant to join a research project focused on indoor navigation for individuals with visual impairments. The successful candidate will contribute to the development of privacy-preserving indoor localization methods using multi-modal deep learning, the design of wearable multi-sensor navigation devices, and the creation of datasets for indoor trajectory prediction. Responsibilities include data collection, analysis, and reporting, as well as collaboration with researchers and project partners.

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. Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Desired Candidate Profile

• Applicants should hold a bachelor s degree in Computer Science, Electrical Engineering, or a related field, with strong programming skills in Python and/or C/C++.
• Familiarity with PyTorch, Linux, and sensor-based data collection is required.
• Experience in robotics, indoor localization, assistive technologies, embedded systems, hardware prototyping, or research writing is desirable.