Postdoctoral Fellow in MRI analysis to predict progression in MS
Thursday 22nd August 2019
Montreal Neurological Institute (McGill U)
We are seeking two postdoctoral fellows to work with an international team to develop the next generation of MRI markers of clinical disease progression to be used as primary outcome measures in phase 2 trials for progressive MS (PMS). The underlying hypothesis for the project is that disease progression in MS is detectable through MRI prior to its clinical expression. Through international collaborations, we have obtained data from 10000+ patients (60000 timepoints) from multiple phase 2 and phase 3 clinical trials. Using this data, the Postdoctoral fellows will learn to use an extensive set of sophisticated image processing tools to analyze MRI images to detect patterns of brain changes (atrophy) typical of MS. The fellows will develop statistical approaches to identify combinations of MRI features that maximize the change over time estimated by mixed effect models and used in machine learning algorithms. The candidates will use cutting-edge computer science tools and algorithms from the fields of computer vision, pattern recognition, machine learning and deep learning techniques. These fellowships will give significant opportunity for publication and will prepare the candidates for future academic or industrial careers. (Unionized, funded position at $55k/y for 2 years to start as soon as possible).
Requirements: Candidates should have a PhD in computer science, math, physics, engineering or neuroscience and have strong analytical skills, programming experience, ability to work independently, good communication skills and experience in computational image analysis methods.
How to apply: Interested applicants should prepare an electronic application in a single PDF file named LastName.FirstName.MS.pdf. The PDF file should contain (1) one page cover letter outlining how you meet the specific requirements of the position and a description of the scientific questions you would like to pursue in the NIST lab, (2) contact info for two references, (3) a full CV and (4) a sample publication. This information should be sent by email to Dr. Louis Collins (firstname.lastname@example.org).
More details at http://nist.mni.mcgill.ca/?page_id=2236
|Organization||Montreal Neurological Institute (McGill U)|
|Title||Postdoctoral Fellow in MRI analysis to predict progression in MS|