Machine Learning Research Associate, Medical Imaging

Embry-Riddle Aeronautical University; Daytona Beach (FL); On-site; USD 70,000 - 100,000; Full time

Benefits offered by this job

Generous Time Off

100% Tuition Coverage

Retirement Contributions

Personal Leave

Job summary

A prominent university in aerospace education is looking for a Research Associate to engage in cutting-edge research on machine learning tools for bone age classification. The role demands expertise in machine learning, AI, and medical imaging applications. Responsibilities include developing neural network models, publishing research findings, and collaborating with interdisciplinary teams. Ideal candidates should hold a Ph.D. and have a strong track record in relevant fields. This position offers unique opportunities in a dynamic research environment.

Qualifications

• Ph.D. (or equivalent doctorate) in a relevant field.
• Strong background in machine learning and AI.
• Demonstrated ability in advanced mathematical methods.
• Proven track record of scientific publications.

Responsibilities

• Conduct research on computational methods for machine learning.
• Develop neural network models for medical image analysis.
• Investigate techniques to reduce false positive rates.
• Contribute to web-based interface for automated assessment.
• Publish research findings in peer-reviewed journals.

Skills

Machine Learning

Artificial Intelligence

Medical Imaging Applications

Neural Networks

Deep Learning

Education

Ph.D. in Machine Learning, Artificial Intelligence, or Computer Science

Job description

A prominent university in aerospace education is looking for a Research Associate to engage in cutting-edge research on machine learning tools for bone age classification. The role demands expertise in machine learning, AI, and medical imaging applications. Responsibilities include developing neural network models, publishing research findings, and collaborating with interdisciplinary teams. Ideal candidates should hold a Ph.D. and have a strong track record in relevant fields. This position offers unique opportunities in a dynamic research environment.