Research Associate

Responsibilities

• Develop and evaluate privacy technology for smart cities through conceptual design, development, and empirical evaluation.
• Conduct human subject studies to evaluate new functionality and understand technology acceptance among end-users.
• Collaborate with the PI, Prof. Norman Sadeh, to publish research in top-tier conferences and journals.
• Supervise junior team members and interact with external partners and end-users in the City of Long Beach.
• Support the deployment and refinement of IoT privacy infrastructure and GenAI functionality.

Requirements

• Master's Degree required (Doctoral Degree preferred).
• 1-3 years of research experience.
• Strong background in privacy, security, and Human-Computer Interaction (HCI).
• Experience with human-centered design.
• Successful completion of a pre-employment background check.
• Strong communication skills and ability to work under limited supervision.

Preferred Qualifications

• Research experience specifically in usable privacy and security.
• Experience collaborating on large-scale research and software projects.

Benefits

• Comprehensive medical, prescription, dental, and vision insurance.
• Generous retirement savings program with employer contributions.
• Tuition benefits and ample paid time off.
• Life, accidental death, and disability insurance.
• Additional perks including a free Pittsburgh Regional Transit bus pass and fitness center access.

About the Company

Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. The Software and Societal Systems (S3D) department explores the intersection of software, systems, and society to develop tools and policies that make the world a safer, more equitable place.