Post-doctoral Fellowship: Cloud-based multi-modal advanced analytics platform for ophthalmic imaging
Tracery Ophthalmics, SOSCIP, and Robarts Research have contacted the department to advertise their postdoc position starting later this year.
Details of the position are below. You can learn more about Robarts, Tracery, and SOSCIP with the links below.
Cloud-based multi-modal advanced analytics platform for ophthalmic imaging
SOSCIP TalentEdge Postdoctoral Fellowship
Robarts Research Institute, Western University
Expected Starting Date
Dr. Ali Khan and Dr. Shelley Boyd
Robarts Research Institute, Western University, London with some travel to Toronto (or vice versa based on preference)
We are seeking a post-doctoral fellow for a SOSCIP-funded research project developing an image analytics platform for a novel functional ophthalmic imaging method, used in its first instance to evaluate patients with Age Related Macular Degeneration (AMD) and ocular tumours. The post-doctoral fellow will develop and apply state-of-the-art multi-modal image processing and machine learning techniques towards a cloud-based platform for ophthalmic imaging. This work is based on two approved clinical studies that have generated tens of thousands of images to date. The successful candidate will be employed by Western University, supervised by Dr Ali Khan, in collaboration with industry partner Tracery Ophthalmics Inc and Dr Shelley Boyd.
Dr. Ali Khan is an Assistant Professor in the Department of Medical Biophysics and Medical Imaging at Western University: http://cfmm.robarts.ca/people/core-scientists/ali-khan-2/
Dr. Shelley Boyd is a Clinician-Scientist and ophthalmologist, specializing in diseases of the retina, St Michael’s Hospital, Toronto: http://www.translatummedicus.com/shelley-boyd-md-frcsc/
Tracery Ophthalmics inc was awarded top prize in the Johnson & Johnson “AI for Drug Development” Quick Fire competition, December 2017. Tracery uniquely aligns image-based biomarkers with OMICs and in silico drug design (with Cyclica inc). https://jlabs.jnjinnovation.com/videos/artificial-intelligence-drug-discovery-quickfire-challengewinners?utm_source=JBrief&utm_medium=email&utm_campaign=20180103
- PhD in Electrical Engineering, Biomedical Engineering, Computer Science, Applied Mathematics, or other relevant areas
- Knowledge of imaging systems, image processing and image analysis
- Experience with software development in Python
- Experience working with computer vision and machine learning algorithms
- Familiar with ITK and VTK libraries, 3D Slicer
- Familiar with containers, cloud architecture, and high-performance computing
- Excellent technical and conversational English skills
- Initiative, dedication, thoroughness, fast learner, ability to work under pressure
Please forward cover letter, CV, and contact information for three references to Michelle Jagdat, firstname.lastname@example.org. Applications will be considered until the position is filled.