Research Assistant

🏢 Carnegie Mellon University
📍 Doha, QatarFull-timeOn-site
📅 Posted: 1w ago🔄 Updated: 1w ago
CV%
✨ AI Summary
Carnegie Mellon University is seeking a Research Assistant for an innovative project focused on indoor context-aware systems in Doha, Qatar. The role involves assisting in the development of context-aware solutions using deep learning, creating multi-modal datasets for trajectory prediction, and collaborating with team members. Responsibilities include data collection, annotation, analysis, interpretation, and reporting of research findings. Required qualifications include a Bachelor's degree in Computer Science, Electrical Engineering, or a related field, strong programming skills in Python and C/C++, familiarity with deep learning frameworks like PyTorch, Linux/command-line usage, and experience with sensor integration, data collection, and analysis.
Required Skills
Information Technology
AI IntegrationData Extraction
Soft Skills & Professional Competencies
Data Analysis
🎁 Benefits & Perks
Comprehensive medical, prescription, dental, and vision insurance, retirement savings program with employer contributions, tuition benefits, paid time off, observed holidays, life and accidental death and disability insurance, free Pittsburgh Regional Transit bus pass, Family Concierge Team, fitness center access.
Requirements
Bachelor's degree in Computer Science, Electrical Engineering, or related field. Strong programming skills in Python and C/C++. Familiarity with deep learning frameworks (e.g., PyTorch) and Linux/command-line. Experience with sensor integration, data collection, and analysis.
Description
We seek a motivated Research Assistant to join our team working on an innovative project focused on indoor context aware systems. The successful candidate willbe involved in various aspects of the research, including indoor localization solutions, prototyping wearable multi-sensor devices, and creating multi-modaldatasets 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.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.Joining the CMU team opens the door to an array of exceptional benefits.Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance. Additional perks include a 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.Are you interested in an exciting opportunity with an exceptional organization! Apply today!LocationDoha, QatarJob FunctionResearchersPosition TypeStaff – Fixed Term (Fixed Term)Full Time/Part timeFull timePay BasisHourlyMore Information: Please visit Why Carnegie Mellon to learn more about becoming part of an institution inspiring innovations that change the world. Click here to view a listing of employee benefitsCarnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. Statement of Assurance
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🎯 Overalli74%
⚡ Skillsi85%
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Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
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Local: 19600%
🏗️ Career Fiti91%
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Seniority: 91.0
📋 Requirementsi67%
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Domain: 67.0
🔥 Motivationi78%
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Title Fit: 78.00