Graduate student position in Computational Psychiatry

The PhD program in the Department of Psychiatry at the University of Alberta is looking for an exceptional PhD student to conduct research in computational psychiatry, applying machine learning to multimodal datasets for mental disorders. Current and potential projects include diagnosis and treatment outcome predictions with machine learning including deep learning, identification of clinical, cognitive and biological markers, brain structural and functional mechanisms of mental disorders and brain and cognitive aging in populations with mental disorders. One focus of the position is to apply advanced statistical, artificial intelligence and machine learning techniques to large Electronic Health Records (EHR), demographic, admission, drug prescription and claims datasets of patients with mental disorders in Alberta (Canada) and worldwide.

The successful candidates will possess a relevant undergraduate degree in biomedical engineering, computer science, mathematics, neuroscience, physics, psychology and statistics, and have strong interest in research of mental disorders and brain science. Some experience of coding with Python, Matlab, R or C, or experience in neuroimaging, clinical, genetic or health record data processing is required. The successful candidates will be an effective team-player with excellent communication (oral and writing) skills.

The successful applicant will have the opportunity be co-supervised and collaborate with several PIs in psychiatry and computing science, and to work directly with our partners in Alberta Government and Private Sectors. The successful applicant will join several research projects in computational psychiatry, gain mentorship in writing research grant proposals and preparation of grant reports for funding agencies and preparation of articles for publication in peer reviewed journals.

The minimum starting stipend for this position is $25,000 per annum and will be commensurate with experience of the successful applicant.

To Apply:

Candidates should submit a cover letter, a statement of career goals, research interests and vision for research track if applicable, including a description of research interests, a complete CV (Canadian Common CV is acceptable), transcripts, and the names and contact information (address, phone number and email address) of three referees to:

Dr. Bo Cao, Canada Research Chair (Tier 2) in Computational Psychiatry
Address: Dept. of Psychiatry, University of Alberta Edmonton, Alberta, Canada T6G 2E1
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.