Location: Emory University, Atlanta, GA
Program Duration: Initial one-year appointment, renewable based on progress and funding (up to five years)

At the Forefront of Health AI Innovation!

Do you want to be a part of pioneering research in AI and machine learning that tackles real-world challenges in healthcare? Emory University invites you to contribute to cutting-edge research that bridges multimodal brain monitoring, predictive models for health, and the development of next-generation health AI applications. This is your opportunity to work at the intersection of data science and healthcare in a collaborative, multidisciplinary environment.

What You'll Do

As a Post Doctoral Fellow in Artificial Intelligence and Machine Learning, you will work with world-class researchers to push the boundaries of AI applications in neurocritical care, cardiovascular health, and wearable health devices. You’ll engage in hands-on research that includes:

• Signal Processing & Time Series Analysis: Work with physiological signals like ECG, EEG, blood pressure, intracranial pressure, and more.
• Multimodal Health Data Integration: Develop predictive models integrating data from electronic health records (EHR), wearable devices, and MRI scans.
• Deep Learning & Machine Learning Algorithms: Design algorithms that unlock novel capabilities in health AI applications, particularly for critical conditions like strokes, epilepsy, and atrial fibrillation.
• Collaboration: Partner with experts from various institutions to enhance your research and help drive the next breakthroughs in healthcare AI.
• Publications & Impact: Publish your findings in high-impact journals and contribute to advancing knowledge in AI and health sciences.

Ideal Candidate

• Qualifications: A Ph.D. or equivalent (M.D., ScD., D.V.M., etc.) in biomedical engineering, biomedical informatics, health sciences, applied statistics/math, computer science, or related fields.
• Research Focus: Previous work applying techniques in signal processing, time series analysis, machine learning, deep learning, NLP, and data visualization to health-related problems.
• Skills: Strong ability to conduct independent research, design experiments, and publish findings. Excellent scientific writing and oral communication skills are essential.
• Experience: Prior experience with healthcare data, AI models, and an interest in clinical applications is preferred.

Why Choose Emory?

• Innovative Research: Engage in groundbreaking work with the potential to transform healthcare practices.
• Multidisciplinary Collaboration: Work alongside experts from diverse fields, combining knowledge from medicine, engineering, data science, and more.
• Diverse and Inclusive Culture: Emory University champions a diverse work environment where you can thrive, collaborate, and grow.
• Location: Emory's vibrant campus in Atlanta, GA offers access to a robust network of research institutions and healthcare organizations.

Qualifications Summary

• Required: A Ph.D. (or equivalent) in a related field.
• Preferred: Research experience in health AI, machine learning, or data science with an emphasis on healthcare applications.

Are You Ready to Make an Impact?

If you’re passionate about AI/ML in healthcare, eager to contribute to innovative projects, and excited about advancing the state of the art in healthcare technology, we want to hear from you!

About Emory University

Emory University is a world leader in medical research and innovation. We are committed to building a diverse workforce, fostering inclusion, and creating equal opportunities for everyone. Whether you’re continuing your research career or looking to push the boundaries of technology and health, Emory offers a dynamic environment for your growth.