Postdoctoral Research Fellow

2 weeks ago

Toronto, Ontario, Canada SickKids Full time

About SickKids:


Dedicated exclusively to children and their families, The Hospital for Sick Children (SickKids) is one of the largest and most respected paediatric healthcare centres in the world.

As innovators in child health, we lead and partner to improve the health of children through the integration of healthcare, leading-edge research and education.

Our reputation would not have been built - nor could it be maintained - without the skills, knowledge and experience of the extraordinary people who come to work here every day.

SickKids is committed to ongoing learning and development, and features a caring and supportive work environment that combines exceptionally high standards of practice.

When you join SickKids, you become part of our community. We share a commitment and determination to fulfill our vision of _Healthier Children. A Better World_.

Don't miss out on the opportunity to work alongside the world's best in paediatric healthcare.

Position Description:


At Intelligent Medical Image Computing Systems (IMICS) Lab at the Hospital for Sick Children (fully affiliated with The University of Toronto), we conduct high-throughput research in design and development of Artificial Intelligence (AI) solutions for Medicine.

The Postdoctoral Research Fellow will work in close collaboration with the PI, graduate students and other researchers on a research project focused on AI algorithms for optimizing patients' appointment scheduling for the Department of Diagnostic Imaging (DI).

The overarching goal of the project is to improve equitable access to DI appointments for all patients, regardless of patients' demographics.


  • Design and development of Machine Learning and statistical models for identifying barriers to equitable access to DI appointments.
  • Design and development of Machine Learning and statistical models for mitigating the barriers to equitable access to DI appointments, through optimizing the appointment scheduling and developing a recommendation system.
  • Data collection, curation, and management.
  • Perform quality control procedures to ensure accuracy of algorithms and completeness of collected data.
  • Work closely with the deployment team to integrate the newly developed scheduling algorithms into the current system.
  • Preparing scientific manuscripts and reports.

Requirements:

  • PhD in Computer Science, Industrial Engineering, Biomedical Engineering or Equivalent
  • Strong knowledge in machine (deep) learning and statistical analysis
  • Strong knowledge in developing machine learning for Operations Research
  • Advanced knowledge on optimization methods
  • Strong scientific programming skills with Python (PyTorch) and R
  • Prior researchbased publications in machine learning for Operations Research
  • Excellent technical writing for scientific publications
  • Excellent communication and problemsolving skills
  • Ability to work well with a team and to use initiative in achieving goals
  • Experience in research coordination, data collection and management

Additional Information:
The post is available until June 1st, 2023

Employment Type:
Temporary, Full-Time, 1 Year Contract (renewable to 2 years)

Our Commitment to Diversity:

The children and families we care for are from a variety of communities, and so are our employees. We welcome and encourage everyone to join our organization and be part of our team.

Thank you for your interest in joining SickKids. Only those applicants selected for an interview will be contacted. In accordance with our Hospital policy, employment at SickKids is conditional upon the Hospital's receipt of all necessary documentation.

**How to Apply

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