Research Assistant
Dohaonsite
Posted today · via Workday
About this role
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.…
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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