(Real-World Applications of AI and Machine Learning on Health Data)
The Department of Psychiatry at the University of Alberta in Edmonton is
recruiting two postdoctoral fellows in computational psychiatry focusing on
Real-World Applications of Artificial Intelligence (AI) and Machine
Learning (ML) on Health Data (e.g., claims, prescriptions, emergency
visits, hospitalization records, laboratory tests, clinical, behavioral and
cognitive assessments, surveys). The aim of the projects is to improve
health outcomes and facilitate evidence-based decision making about mental
and substance use disorders and other adverse outcomes (e.g., overdose) for
clinicians, health service providers and policymakers through translation
and implementation of AI and ML in the real world beyond research settings.
The successful applicants will participate and lead research that applies
advanced statistical, AI and ML techniques to large populational health
data of patients with mental and substance use disorders. Current and
potential projects include two main directions: 1) Individualized
prediction of mental and substance use disorders and overdoses and
associated health and economical outcomes in the population using health,
survey and biological data; 2) Implementation of ML models through
interactions with multiple stakeholders and people with living and lived
experiences. Applicants must possess a doctoral degree (PhD or MD/PhD) in
relevant disciplines, such as computer science, mathematics, neuroscience,
physics, psychiatry, psychology or statistics. Clinical or health research
experience and strong coding or analytical skills are required. Previous
experience in structured and/or unstructured large-scale health data, a
vision in future precision and personalized mental health, strong
scientific writing and communication skills and capability to work
collaboratively in an interdisciplinary team and dynamic environment are
desired.
The successful applicants will have the opportunity of supervised access to
several public and government/institution owned datasets, including large
(over 4 million people) de-identified health data from Alberta. In this
context, there are excellent opportunities for shared mentorship and
collaboration with several PIs in psychiatry and computing science,
including the Alberta machine intelligence institute (Amii). The successful
applicant will play a leadership role for several research projects in
computational psychiatry, develop and participate in preparation of
research grant proposals, assist in the supervision and training of other
personnel including technologists, graduate students, other lab members and
scientific collaborators. The successful applicant will also have the
opportunity to work directly with our partners in Ministries of Alberta
Government, Alberta Health Services (AHS) and Canadian Mental Health
Association Edmonton, as well as international partners. The ideal
applicant will exhibit a high level of motivation to pursue data-driven
research in mental disorders, to publish in excellent peer-reviewed
journals, and to seek prestigious fellowships and research awards, as
appropriate.
The stipend will be commensurate with the experience of the successful
candidate. The positions are available immediately and funding is
sufficient to support the initial position for at least two years.
Fluency in English is a requirement and for applicants who did not complete
training in an accredited English language institution, IELTS scores will
normally be required as evidence of proficiency.
The University of Alberta acknowledges that we are located on Treaty 6
territory, and respects the histories, languages and cultures of First
Nations, Metis, Inuit and all First Peoples of Canada, whose presence
continues to enrich our vibrant community.
The Faculty of Medicine & Dentistry at the University of Alberta is one of
Canada's premiere health-sciences institutes, and in recent years has
ranked among the top 50 medical schools in the Times Higher Education World
University Rankings. The University of Alberta is home to more than 40,000
students in 200+ undergraduate and 500+ graduate programs, over 13,000
faculty and staff, more than 300,000 alumni worldwide and have been
recognized as one of Canada's Greenest Employers for over a decade.
The University of Alberta is located in Edmonton, a vibrant metropolitan
area of 1.5M and the provincial capital for Alberta. This friendly city
offers a rich cultural life and diverse recreational opportunities. The
campus on which the Faculty of Medicine & Dentistry is located is adjacent
to the North Saskatchewan River with one of the largest municipal park
systems in North America. Edmonton is approximately 3.5 hours by car from
Jasper and from Banff in the Canadian Rockies.
To Apply:
Candidates should submit a cover letter, a statement of career goals,
research interests (e.g., preferred research direction) and vision for
research track if applicable; a complete CV (Canadian Common CV is
acceptable) including a summary of graduate thesis research and
post-doctoral research (if applicable), undergraduate and graduate
transcripts, and the names and contact information (address, phone number
and email address) of three referees to:
Dr. Bo Cao
Associate Professor, Canada Research Chair & Co-Director of Computational
Psychiatry Group
Department of Psychiatry, Faculty of Medicine & Dentistry
Adjunct Professor, Department of Computing Science, Faculty of Science
University of Alberta
Edmonton, Alberta T6G 2B7, Canada
Email address: bcao2@ualberta.ca
Webpage: https://www.ualberta.ca/medicine/about/people/Bo-Cao
We thank all applicants for their interest; however, only those individuals
selected for an interview will be contacted.
The University of Alberta is committed to an equitable, diverse, and
inclusive workforce. We welcome applications from all qualified persons. We
encourage women; First Nations, Métis and Inuit; members of visible
minority groups; persons with disabilities; persons of any sexual
orientation or gender identity and expression; and all those who may
contribute to the further diversification of ideas and the University to
apply.
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