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Post Doctoral Fellow Interventional Psychiatry Program

Job in Toronto, Ontario, C6A, Canada
Listing for: Unity Health Toronto
Full Time position
Listed on 2026-08-03
Job specializations:
  • Healthcare
    Data Scientist, AI Business & Operations
  • Research/Development
    Data Scientist, AI Business & Operations
Job Description & How to Apply Below
AI, Neuroscience, and Mental Health  AI for Mental Health Program (AI-M)
Department of Psychiatry – St. Michael’s Hospital, University of Toronto
The AI for Mental Health Program (AI-M) at the University of Toronto, led by Dr. Venkat Bhat, is recruiting Postdoctoral Fellows to work at the intersection of artificial intelligence, neuroscience, and mental health.
The program is building a research initiative centered around a core scientific question:
How can the reciprocal relationship between neuroscience and artificial intelligence transform the understanding and treatment of mental illness?
Our work sits at the bidirectional frontier between brain science and AI:  Neuroscience → AI:
Insights from brain circuits, cognition, and psychiatric disorders inform the development of brain-inspired AI architectures and learning paradigms.
AI → Neuroscience:
Advances in machine learning enable new approaches to analyzing multimodal brain and behavioral data, discovering biomarkers, and designing adaptive interventions for psychiatric disorders.
The program aims to develop next-generation computational and clinical approaches to mental health, grounded in both biological mechanisms and modern AI systems.
The AI-M Program Is An Interdisciplinary Initiative Within The Department Of Psychiatry At The University Of Toronto, Bringing Together Expertise Across:
Psychiatry and clinical neuroscience
Artificial intelligence and machine learning
Biomedical engineering
Neuroimaging and neurophysiology
Digital health and clinical informatics
Postdoctoral Fellows will have opportunities to collaborate with researchers across multiple hospitals and institutes within Toronto’s academic health science network, including collaborations with teams at Toronto Western Hospital and the KITE Research Institute on projects involving neurostimulation and neurotechnology.
The program provides access to large multimodal datasets, clinical trial infrastructure, and emerging digital mental health platforms, creating a unique environment for translational AI research in mental health.
Postdoctoral Fellows work in a variety of departments and units set in offices, laboratories, and clinical research sites. Working closely with and receiving advice and direction from a supervising scientist, the fellow is expected to develop a specialized area of research and expertise.
A Postdoctoral Fellowship Is An Extension Of Academic Training Received During The Doctoral Degree And Is Designed To Support The Transition Toward An Independent Research Career. Primary

Responsibilities Include:

Primary Responsibilities Include   Developing research ideas and designing research studies under the direction of a supervising scientist
Leading or managing components of research projects and clinical studies
Developing machine learning models and computational approaches for mental health data
Writing manuscripts, research proposals, and grant applications
Presenting research findings at scientific meetings and conferences
Mentoring students and trainees within the research program
Research Areas  Postdoctoral Fellows may work on one or more of the following research areas:
Multimodal AI for Mental Health   Develop machine learning models integrating diverse data sources such as:  Clinical assessments
Neuroimaging and electrophysiology
Neurostimulation data
Digital phenotyping and wearable data
Behavioral and longitudinal health data

Agentic AI for Mental Health Care   Design and evaluate agentic AI systems and conversational agents capable of:  Supporting mental health interventions
Personalizing treatment strategies
Assisting clinical decision-making
Enabling scalable digital mental health care

Computational Neuroscience of Psychiatric Disorders   Develop computational models linking:  Neural circuits
Cognitive processes
Psychiatric symptoms
Treatment response

AI-Enabled Clinical Trials   Apply AI and data science approaches to improve:  Patient stratification
Prediction of treatment response
Adaptive clinical trial design
Real-world deployment of digital therapeutics

Brain Stimulation and Neurotechnology   Collaborate with researchers at Toronto Western Hospital and the KITE Research…
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