Research Assistant
Dohaonsite
Posted today · via Workday
About this role
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. 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.…
Read the full description on Carnegie Mellon University's site →
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, rest, pytorch, modal
2
Level fit
We check your title trajectory against the seniority signal of the role.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Doha. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonrestpytorchmodal
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