Postdoctoral Fellow-MSH-13400-376
About The Position
This new initiative is focused on using behavioral measures and computational methods to define novel clinical signatures that can be used for individual-level prediction and clinical decision making in treating mental disorders. The importance of this new NIMH program was highlighted in a recent news update issued by the White House Office of Science and Technology. This study, titled, “Phenotypes REimagined to Define Clinical Treatment and Outcome Research (PREDiCTOR)”, will use objective, scalable, and cost-effective measurements to define novel clinical signatures that can be used for individual-level prediction and clinical decision-making in treating mental health disorders. Join us in exploring innovative approaches to intelligence, where AI and human cognition converge to tackle pressing issues in healthcare and beyond.
Requirements
- Ph.D. in Computer Science, Machine Learning, Data Science, Biomedical Informatics, Electrical Engineering, or a related field.
- Demonstrated experience in one or more of the following areas: computational psychiatry, machine learning, and natural language processing.
- Proficiency in programming languages such as Python or MATLAB, and experience with deep learning and natural language processing frameworks (e.g., TensorFlow, PyTorch) is highly desirable.
- Excellent data analysis skills and familiarity with methodologies used in biomedical research.
- Strong written and verbal communication skills, with a proven track record of research publications.
Nice To Haves
- Experience with deep learning and natural language processing frameworks (e.g., TensorFlow, PyTorch)
Responsibilities
- Conduct empirical studies in computational psychiatry, analyze multimodal datasets, and synthesize insights to support hypothesis-driven research and evidence-based treatment strategies.
- Develop and apply machine learning and natural language processing models to analyze textual, audio, and visual data to understand important clinical measures such as engagement, rehospitalization, and other clinical outcomes.
- Work collaboratively within an interdisciplinary team, and contribute to mentoring junior researchers, including graduate students and research assistants.
Benefits
- Salary range that comply with the New York City Law on Salary Transparency in Job Advertisements
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
