Postdoctoral Position in Computational Psychiatry

**MED Psychiatry**:

- Competition No.

**A106051537**
- Closing Date

**Will remain open until filled.**

This position offers a benefits package found at Postdoctoral Fellows Benefits.

**Location - North campus**

**Department summary**

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 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 13,000faculty 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.

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.

**Position summary**

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

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.

**Duties**
- Participate and lead research.
- Statistical and machine learning analysis
- Manuscript drafting and submission
- Develop and prepare research grant proposals.
- Assist in the supervision & training of technologists, graduate students, other lab members and scientific collaborators

**Minimum Qualifications**
- 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 research experience and strong coding or analytical skills are required.
- 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.

**Preferred Qualification**
- Previous experience in structured and/or unstructured large-scale health data, a vision in future precision and personalized ment