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Postdoctoral Researcher - Edmonton, AB, Canada - University of Alberta
Description
Postdoctoral Position In Computational Psychiatry
(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 the translation and implementation of AI and ML in the real world beyond research settings.
The successful applicants will participate in 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 economic 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 public health, statistics, computer science, neuroscience, psychiatry, psychology, etc. 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 for future precision and personalized mental health, strong scientific writing and communication skills, and the 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 in several research projects in computational psychiatry, develop and participate in the preparation of research grant proposals, and 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 has 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 of 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 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 the 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:
Webpage:
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.
