Research Associate, Aerospace Engineering, Daytona Beach Campus
Embry-Riddle Aeronautical University
Daytona Beach, Florida, United States
Not specified; benefits: generous time off, 100% t...
Not specified (likely on-site given the nature of research)
Ph.d. in machine learning or ai
Expertise in medical imaging applications
Advanced mathematical methods for ml
Embry-Riddle Aeronautical University is seeking a Research Associate for its Aerospace Engineering Department at the Daytona Beach Campus. The ideal candidate will have a Ph.D. in a relevant field and expertise in machine learning, particularly in medical imaging applications, to contribute to an innovative interdisciplinary research project
Job Summary
The position focuses on developing novel mathematical and machine learning tools for bone age classification using neural networks.
Embry-Riddle offers generous benefits including 9+ paid holidays, 100% tuition coverage for degrees, and a 6% retirement contribution.
Candidates must have a Ph.D. in Machine Learning, Artificial Intelligence, or Computer Science with a strong background in medical imaging.
Matching Summary
Match Score: 85
Embry-Riddle Aeronautical University is seeking a Research Associate for its Aerospace Engineering Department at the Daytona Beach Campus. The ideal candidate will have a Ph.D. in a relevant field and expertise in machine learning, particularly in medical imaging applications, to contribute to an innovative interdisciplinary research project.
Salary
Not specified; Benefits: Generous time off, 100% tuition coverage, 6% retirement contribution plus 4% match
Skills & Requirements
Must-have
Ph.D. in Machine Learning or AI
Expertise in medical imaging applications
Advanced mathematical methods for ML
Neural network and deep learning models
Experience with scientific publications
Nice-to-have
Experience reducing false positive rates
Familiarity with healthcare AI systems
Web-based application development skills
Interdisciplinary research collaboration
Key Requirements
Ph.D. in Machine Learning, AI, or Computer Science