Develop and evaluate neural network and deep learning models for medical image analysis ... Contribute to the development of a web-based interface for automated bone age assessment * Publish ...
Develop and evaluate neural network and deep learning models for medical image analysis ... Contribute to the development of a web-based interface for automated bone age assessment * Publish ...
Develop and evaluate neural network and deep learning models for medical image analysis ... Contribute to the development of a web-based interface for automated bone age assessment * Publish ...
Develop and evaluate neural network and deep learning models for medical image analysis ... Contribute to the development of a web-based interface for automated bone age assessment * Publish ...
Develop and evaluate neural network and deep learning models for medical image analysis ... Contribute to the development of a web-based interface for automated bone age assessment * Publish ...
Develop and evaluate neural network and deep learning models for medical image analysis ... Contribute to the development of a web-based interface for automated bone age assessment * Publish ...
Tenure Track/ Open Rank Research Faculty in PM&R Department:Medicine | Physical Medicine and ... neural engineering, user interfaces, neuroprosthetics, remote monitoring, artificial intelligence ...
Tenure Track/ Open Rank Research Faculty in PM&R Department:Medicine | Physical Medicine and ... neural engineering, user interfaces, neuroprosthetics, remote monitoring, artificial intelligence ...
Lead and participate in research into advanced neural network techniques to solve real-world war ... Extensive interface with the customer community on a regular basis to share status, issues, and ...
Lead and participate in research into advanced neural network techniques to solve real-world war ... Extensive interface with the customer community on a regular basis to share status, issues, and ...
Lead and participate in research into advanced neural network techniques to solve real-world war ... Extensive interface with the customer community on a regular basis to share status, issues, and ...
Lead and participate in research into advanced neural network techniques to solve real-world war ... Extensive interface with the customer community on a regular basis to share status, issues, and ...
Develop and integrate AI/ML models using machine learning algorithms and deep learning neural ... Design and implement data ingestion and transformation infrastructure to interface with data ...
Develop and integrate AI/ML models using machine learning algorithms and deep learning neural ... Design and implement data ingestion and transformation infrastructure to interface with data ...
Neural Interface Research information
What is the difference between Neural Interface Research vs Neural Engineering?
| Aspect | Neural Interface Research | Neural Engineering |
|---|---|---|
| Required Credentials | Advanced degrees in neuroscience, biomedical engineering, or related fields | Similar credentials, often with additional focus on device design and implementation |
| Work Environment | Research labs, universities, biotech companies | Research labs, medical device companies, clinical settings |
| Industry Usage | Focuses on developing and understanding neural interfaces | Designing, testing, and applying neural interface devices |
| Common Search Intent | Research methods, latest advancements, academic roles | Product development, device engineering, clinical applications |
Neural Interface Research primarily involves exploring and understanding neural interfaces through scientific investigation, while Neural Engineering focuses on designing and developing neural interface devices for practical use. Both roles require similar educational backgrounds but differ in their application and work environment.
What are the key skills and qualifications needed to thrive in Neural Interface Research, and why are they important?
What is neural interface research?
What are some common interdisciplinary challenges faced by professionals in Neural Interface Research teams?
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Research Associate, Aerospace Engineering, Daytona Beach Campus
Daytona Beach, FL • On-site
Full-time
Posted 6 days ago
Embry-Riddle Aeronautical University rating
7.2
Based on 22 frontline employees who took The Breakroom Quiz
383rd of 611 rated colleges and universities
Job description
The Opportunity
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.
Key Responsibilities:
- 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)
Embry-Riddle: A Global Leader in Aviation and Aerospace
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.
Click here to take a virtual tour of the Daytona Beach Campus!
Perks Await You at Embry-Riddle!
- Generous Time Off: Enjoy 9+ paid holidays, including the day after Thanksgiving and the week between Christmas Eve and New Year's Day.
- Tuition Coverage: Get 100% tuition coverage for yourself for one undergraduate and one graduate degree, and discounted rates for your spouse and dependent children up to age 26.
- Retirement Contributions: ERAU contributes 6% of your base salary to your retirement plan and offers a 4% matching contribution - with no vesting period.
- Personal Leave: Relax with 12 days of personal leave for non-exempt employees or 18 days for exempt full-time employees in your first year.
Qualifications
Required Education and Qualifications:
- 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
Preferred Qualifications:
- 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
Application process/requirements
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.
Embry-Riddle is committed to fostering a workplace where all individuals are valued and respected. We strive to ensure that all faculty, staff, and students are treated fairly and provided equal opportunities for employment, advancement, compensation, training, and other benefits of employment. Embry-Riddle makes employment decisions - including hiring, promotions, compensation, and other terms of employment - based on individual merit, qualifications, and abilities. Embry Riddle is strongly opposed to discrimination and harassment, and such behavior is prohibited by university policy. Embry Riddle does not discriminate on the basis of race, color, national origin, sex, disability, veteran status, predisposing genetic characteristics, age, religion, or pregnancy status, or any other status protected by federal, state, or local law, in its employment, educational programs, admissions policies, financial aid, or other school-administered programs or activities. For further information, please visit our website.
Embry-Riddle is not seeking assistance from staffing or recruitment agencies. All agencies are directed to contact eraujobs@erau.edu and should not reach out to hiring managers or staff.
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