Research Assistant, Privacy-Preserving Machine Learning and Synthetic Data

Job overview

The Research Assistant, Privacy-Preserving Machine Learning and Synthetic Data role is onsite in Pittsburgh, PA; compensation is not specified. Carnegie Mellon University's Software and Societal Systems department studies how computing can better serve society. The role supports research by implementing and evaluating machine-learning methods, running computational experiments, analyzing results, and contributing to prototypes and documentation. These activities help the research team investigate privacy-preserving machine learning and synthetic data.

What you'll do

• Support research on privacy-preserving machine learning and synthetic data
• collaborate with the faculty supervisor and research team on implementation, experiments, and documentation
• analyze experimental results and summarize findings
• review research literature and contribute to research ideas and methods.

What we're looking for

Skills & competencies

research assistant

privacy-preserving machine learning

synthetic data

machine learning

computational experiments

research documentation

pittsburgh pa

carnegie mellon university

Work arrangement

• Weekend coverage required

Benefits & perks

• Medical, prescription, dental, and vision insurance
• retirement savings program with employer contributions
• tuition benefits
• paid time off and holidays
• life and disability insurance
• Pittsburgh Regional Transit bus pass
• family concierge and fitness center access.

Why this role

Research focus on privacy-preserving machine learning and synthetic data.

About the employer

Carnegie Mellon University is hiring for this role. Industry: Colleges, Universities, and Professional Schools. Sector: 61.