Research Associate, Aerospace Engineering, Daytona Beach Campus

The Department of Aerospace Engineering at Embry-Riddle Aeronautical University (Daytona Beach Campus) invites applications for a Research Associate position. The successful candidate will contribute to an interdisciplinary research project focused on developing novel mathematical and machine learning tools for bone age classification using neural networks.

This position is ideal for a highly motivated scholar with expertise in machine learning and artificial intelligence, particularly in medical imaging applications.

• →Conduct cutting-edge research on mathematical and computational methods for machine learning applied to bone age classification
• →Develop and evaluate neural network and deep learning models for medical image analysis
• →Investigate techniques to mitigate high false positive rates in AI-based classification systems
• →Contribute to the development of a web-based interface for automated bone age assessment
• →Publish research findings in peer-reviewed scientific journals and conferences
• →Collaborate with interdisciplinary research teams
• →Present work at scientific conferences (travel may be required)

With vibrant campuses in Daytona Beach, FL, and Prescott, AZ—along with a Worldwide network spanning roughly 120 global locations—Embry-Riddle proudly stands as the world’s largest aviation and aerospace university. Now celebrating our 100th year, we continue to lead innovation in STEM education, serving more than 30,000 students worldwide. Our cutting-edge programs in Applied Science, Aviation, Business, Technology, Engineering, Safety, Security, and Space prepare the next generation of leaders shaping the future of flight and beyond.

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• Ph.D. (or equivalent doctorate) in Machine Learning, Artificial Intelligence, Computer Science, or a closely related field
• Strong background in machine learning and AI, particularly in medical imaging applications
• Demonstrated ability in advanced mathematical methods relevant to machine learning
• Proven track record of scientific publications or strong potential to publish
• Experience with neural networks, deep learning, and related techniques

• Experience with medical image analysis or healthcare-related AI systems
• Familiarity with model evaluation and techniques to reduce false positives
• Experience developing user-facing tools or web-based applications

To submit your application for this opportunity, please visit the Embry-Riddle Career Site and search for requisition number R311165. Please attach all relevant materials to your application when you apply online. Complete submissions include:

• Cover letter
• Full CV
• Contact information for at least three professional references (please note that references may be contacted as part of the interview/screening process)

Current Embry-Riddle employees: Please apply directly through the ERAU Employee Hub Central application within Workday.

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