University of Alberta

Research Associate

Division of Neurology

Competition No.  -    A100633617
Closing Date  -    Aug 18, 2017

A key feature of the Canadian Consortium for Neurodegeneration in Aging (CCNA) is integration and analysis of multi-center accumulated scans which are to be collected nationally and uploaded to a central data base. The Lewy Body Team (directed by Richard Camicioli) will facilitate and provide data analysis for team initiated MRI analysis projects once data is collected as part of Compass-ND. The Functional Assessment of Vascular Reactivity (FAVR) project is a two center project (Calgary and Alberta) which requires coordinated image acquisition and analysis.

The physical environment is ~10,000 square feet of basement space, directly beneath the Emergency Department of the University Hospital, housing 3 state of the art human-body-size magnetic resonance systems (e.g. for MRI, etc.), operating at 15 T, 3.0 T and 4.7 T respectively, together with the maintenance workshop, a patient preparation room, an animal preparation area and a small amount of admin space.

Work space is available in the MRI center for Dr. Camicioli. Work stations are available in CSB, Division of Neurology for staff as well as at the Glenrose Hospital. The Kaye Edmonton Clinical, UAH and the Glenrose Hospital clinics are major recruitment sites. 

Scientific manager and magnetic resonance expert of the magnetic resonance component of the neurological research programme of the Geriatric Cognitive and Movement Disorder Clinics based at the University of Alberta Hospital with clinics at the Kaye Edmonton Clinic and the Glenrose Rehabilitation Hospital. The Director of the research programme is Dr. Richard Camicioli.


  • Development of imaging pulse sequences in order to isolate potential physiological measures of the brain dysfunction likely to be encountered in Lewy Body Disease and other neurodegenerative disease, for example
  • Oversee operation of the 3.0 T MRI system during raw data acquisition on both patient groups and normal controls
  • Mathematical processing of raw image data and analysis of patient group data acquired in support of local, provincial and national initiatives
  • Imaging data will be analysed in relation to specific clinical data in hypothesis driven analysis collected as part of CCNA (Compass-ND), FAVR and other projects
  • Data analysis and data-preparation for UAH and other sites as required
  • Preparation of protocols, reports, manuscripts and conference presentations

Knowledge, Skills and Abilities

  • PhD in Nuclear Magnetic Resonance
  • Knowledge of NMR theory
  • Expertise with operation of MRI hardware
  • Experience with human data acquisition
  • Experience with use of common image analysis platforms (SPM12, Freesurfer, FSL, etc) for structural and functional imaging including diffusion tensor imaging
  • Proven writing ability as evidenced by first author publications
  • Ability to perform statistical analysis of clinical data sets

In accordance with the Trust/Research Academic Staff Agreement, this 0.5 FTE position has a term length of one year, with the possibility of renewal, and offers a comprehensive benefits package found at and an annual salary range of $58,210 to $80,050. Salary will be pro-rated to reflect FTE.

How to Apply

Apply Online

Note: Online applications are accepted until midnight Mountain Standard Time of the closing date.

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. If suitable Canadian citizens or permanent residents cannot be found, other individuals will be considered.

The University of Alberta is committed to an equitable, diverse, and inclusive workforce. We welcome applications from all qualified persons. We encourage women; First Nations, Métis and Inuit persons; members of visible minority groups; persons with disabilities; persons of any sexual orientation or gender identity and expression; and all those who may contribute to the further diversification of ideas and the University to apply.