Dr. Arman Rahmim Laboratory pursues interdisciplinary research towards enhanced quantitative image generation and analysis for tomographic medical imaging devices (e.g. PET, SPECT). Through extensive collaborations, the lab focuses on applications in cancer imaging (including a provincial PET physics program that we lead at BC Cancer) as well as brain imaging (Alzheimer’s disease, Parkinson’s disease). They aim to develop and validate novel solutions for medical device data acquisition, data correction, image reconstruction and quantification. They seek solutions that can transform clinical practice and make a difference in healthcare and in people’s lives.

This is a multidisciplinary group involved in education and research in tomographic medical devices, pursuing and integrating diverse research areas including hardware engineering (e.g. motion tracking), signal processing (image reconstruction, processing and quantification), machine learning, computer observer modeling and biological compartmental modeling.





Open Positions

Post-Doc Fellowship in PET Imaging

Position: The University of British Columbia (UBC) and the BC Cancer, part of the Provincial Health Services Authority in the Province of British Columbia, Canada, are seeking a post-doctoral fellow. The research will take place in the laboratories of Dr. Rahmim (Quantitative Tomography; rahmimlab.com)  and Dr. Benard (http://molonc.bccrc.ca/benard-lab), in close collaboration with other clinical research and imaging experts at UBC and BC Cancer Research Center. The efforts will include development and assessment of innovative image enhancement and quantification methods that seek to improve the clinical value of PET images. More specifically, the post-doctoral fellow will apply advanced image processing methods to oncological PET images, and derive and validate effective therapeutic biomarkers in cancer patients.

Requirements: Qualified candidates will have a Ph.D. in medical physics, biomedical engineering, electrical engineering, applied mathematics, or a related field. Prior experience in image processing, machine learning or radiomics methods is a requirement. The candidate should have a strong interest and commitment to research. Creativity with an aim towards independent research as well as good communication skills are also emphasized. The initial appointment is for one year, which may be renewed based on performance.

Application: Interested candidates should send a CV, complete list of past research topics and publications, and the names of three references to Jayne Hunter (JHunter@bccancer.bc.ca). Review of applications will begin immediately and continue until the position is filled.

Selected Publications


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