Postdoctoral Fellow

3 weeks ago

Toronto, Canada Holland Bloorview Kids Rehabilitation Hospital Full time

Description

Position title: Postdoctoral Fellow (Autism Research Centre)

Status: Temporary Full-time (1.0 FTE)

Start date: Flexible (1-year contract with potential for renewal depending on funding and performance)

Lab: Autism Research Centre

Supervisor: Azadeh Kushki

Program: Bloorview Research Institute

Join us in building a world of possibility for children with neurodevelopmental differences and disabilities

Holland Bloorview Kids Rehabilitation Hospital is Canada’s largest pediatric rehabilitation hospital and is fully affiliated with the University of Toronto. It has ranked amongst Canada’s top 40 research hospitals for more than a decade. Holland Bloorview has won numerous awards including Greater Toronto's Top Employers, Canada's Top Employers for Young People and Canada's Most Admired Corporate Cultures. We offer an inspiring, inclusive, innovative, and collaborative work environment with competitive compensation and benefit packages and programs that support ongoing learning and professional growth.

The Bloorview Research Institute (BRI), embedded within the hospital, is the only university-affiliated research institute in Canada dedicated to pediatric disability, and one of very few around the world. BRI’s vision is to be a global leader in transformative, equity-driven research dedicated to enabling personalized versions of a good life across the lifespan, for all individuals with childhood onset disabilities, acquired injuries and developmental differences, their families and communities.

The Position

Applications are invited for a postdoctoral fellow with interest and expertise in machine learning/data science. You will join a dynamic team to advance personalized health for children with neurodevelopmental differences and disabilities through novel application of data science and AI approaches. You will be part of an interdisciplinary team and support the development of innovative algorithms that improve the understanding of neurodevelopmental conditions and contribute to development of technology-based supports for children.

Our lab is committed to fostering a climate of equity, diversity, inclusion, and accessibility. This commitment is central to, and mutually supportive of, our research excellence mandate. We welcome and respect the diversity of all members of our community and we support an inclusive culture for our clients, families, research scientists, staff, participants, trainees, volunteers, trustees, and partners. We welcome applications from Black individuals and other racialized persons, Indigenous Peoples, women, persons with disabilities, LGBTQ2SA+ persons, and others who may contribute to further diversification of ideas within our community. We are committed to fair assessment of a candidate’s abilities, and consideration for diversity of thought, method, and experience, including non-traditional career paths. Accommodation will be provided in all parts of the hiring process where needed.

Key Responsibilities

Perform data analyses for research studies focused on health datasets. Analyses may include cleaning/aggregating large datasets, visualizing data, statistical analysis, and AI/machine learning Lead and support preparation of manuscripts Contribute to preparing grant applications Contribute to mentorship and supervision of graduate and undergraduate students

Qualifications

PhD degree in engineering, computer science, or related technical field (completed within the last 5 years or expected to complete in the next 3 months) Solid and demonstrated knowledge of statistics, data visualization, and AI/machine learning methods Experience analysing health/clinical research data, such as physiological signals, clinical assessments, survey data, or neuroimaging data Proficiency with Python and/or R, specifically related to statistics and machine learning Experience communicating research results, including written and oral, demonstrated through a publication record and presentations

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