Multimodal DL Research Assistant: Indoor Trajectory

Carnegie Mellon University; Doha; On-site; QAR 83,000 - 124,000; Full time

Benefits offered by this job

Medical Insurance

Retirement Benefits

Tuition Benefits

Paid Time Off

Transit Pass

Childcare Support

Gym Access

Job summary

Carnegie Mellon University in Doha, Qatar, invites applications for a Research Assistant position. This is a full-time, on-site role that focuses on developing context-aware, multi-modal deep learning solutions and building datasets for indoor trajectory prediction.

The ideal candidate holds a bachelor's degree in CS or EE and has strong Python and C/C++ skills, experience with PyTorch, Linux, and sensor integration, data collection, and analysis.

Qualifications

• Bachelor's degree in CS, EE, or related field.
• Strong programming skills in Python and C/C++.
• Familiarity with PyTorch.
• Familiarity with Linux and command-line usage.
• Experience with sensor integration, data collection, and analysis.

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.

Skills

Python

C/C++

Linux

Data analysis

Sensor integration

Education

Bachelor's degree in Computer Science, Electrical Engineering, or a related field

Tools

PyTorch

Job description

Carnegie Mellon University in Doha, Qatar, invites applications for a Research Assistant position. This is a full-time, on-site role that focuses on developing context-aware, multi-modal deep learning solutions and building datasets for indoor trajectory prediction.

The ideal candidate holds a bachelor's degree in CS or EE and has strong Python and C/C++ skills, experience with PyTorch, Linux, and sensor integration, data collection, and analysis.