Full-Time Probationary Assistant Professor

Schulich School of Medicine & Dentistry, Western University
Location: 
London, Ontario Canada
Job Type: 
Full Time
Closing Date: 
Friday, April 6, 2018

The Department of Medical Biophysics, within the Schulich School of Medicine & Dentistry, invites applications for a full-time probationary (tenure-track) faculty position at the rank of Assistant Professor, to begin on July 1, 2018. This position will have a research focus on computational analysis of biomedical images for cancer research, including quantitative biological image analysis. The successful candidate will have a primary appointment in the Department of Medical Biophysics and a cross appointment in the Department of Oncology in the Schulich School of Medicine & Dentistry. The successful candidate may also be eligible for supervisory membership in the Biomedical Engineering Graduate Program, subject to approval by the program. The position will fit into a growing initiative in translational cancer imaging research at the Gerald C. Baines Centre for Translational Cancer Research (the “Baines Centre”) and the Victoria Hospital Cancer Research Laboratories at London Health Sciences Centre (LHSC). Established in 2010, the Baines Centre co-locates basic and clinician scientists within the London Regional Cancer Program (LRCP) at LHSC and houses an imaging research laboratory, radiochemistry laboratory, and clinical trials unit. The adjacent Victoria Hospital Cancer Research Laboratories are home to cancer biology, medicinal chemistry and experimental physics programs. The successful applicant will build on a rich culture of collaboration between Baines Centre investigators and investigators from Biochemistry, Medical Physics, Oncology, Medical Imaging, Surgery, Pathology and Computer Science within LHSC/LRCP, the Lawson Health Research Institute (LHRI), the Robarts Research Institute (RRI) and citywide. The successful applicant will establish an independent, externally funded research program focused on development and validation of cutting-edge techniques for the acquisition and extraction of cancer-relevant information from biomedical image data.