Research Assistant at Carnegie Mellon University - ScoutJobs - The AI-curated global job board
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Posted 6 days ago

Research Assistant

Carnegie Mellon University

Requirements

Bachelor's degree preferred, Entry level research experience, Understanding of instrumentation and software, Signal processing experience, Matlab programming, Spreadsheets and statistics, Technical report writing, Electromyography experience, Successful background check

Skills

MatlabSignal Processing

About the role

Responsibilities

  • Assist with data collection, including the use of biomedical instrumentation
  • Perform data analysis, specifically focusing on signal processing
  • Conduct literature reviews and summarize key research papers
  • Generate documentation and technical reports
  • Perform other research-related duties as assigned

Requirements

  • Successful completion of a background check
  • Experience with signal processing and Matlab programming
  • Proficiency with spreadsheets and statistical analysis
  • Experience in Electromyography (EMG)
  • Ability to write clear technical reports
  • Entry-level research experience with an understanding of instrumentation and software

Preferred Qualifications

  • Bachelor's degree in a relevant field
  • A combination of education and relevant experience demonstrating comparable knowledge

Benefits

  • Comprehensive medical, prescription, dental, and vision insurance
  • Generous retirement savings program with employer contributions
  • Tuition benefits
  • Ample paid time off and observed holidays
  • Life, accidental death, and disability insurance
  • Free Pittsburgh Regional Transit bus pass
  • Access to fitness center facilities and Family Concierge Team support

About the Company

Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. The Department of Mechanical Engineering is revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy, and robotics through interdisciplinary innovation and complex problem solving.

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Research Assistant

Carnegie Mellon University · Pittsburgh

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