Post-Doctoral Researcher - DTI and Parkinson's

Université de Rennes 1
Location: 
Rennes, France
Job Type: 
Full Time
Closing Date: 
Thursday, February 28, 2019

Position Summary:

Parkinson's disease is a degenerative neurological condition with several motor and cognitive symptoms that can impair the quality of life of those experiencing it. One of the current treatments for Parkinson's disease is Deep Brain Stimulation (DBS) in which electrodes are placed are critical sub-cortical regions of the brain such as the basal ganglia. The objective of the DBS-comp project is to optimize the clinical outcomes of DBS implantation through modeling the underlying relationship between structures in the basal ganglia through medical imaging, and developing advanced software for planning and evaluating DBS interventions.

We are looking for a post-doctoral researcher with an interest in advancing the state-of-the-art in neuro-inventional guidance and our knowledge of both neuroscience and medical imaging. This specific position is in diffusion imaging analysis and tractography, but a broad outlook and collection of skills is always an asset.

Qualifications:

The ideal candidate must have:

  • A Ph.D. in biomedical engineering, neuroscience, computer science, or related field,
  • Experience or a demonstrable publication record in diffusion image analysis, tractography, neuro-image processing or a related field, and
  • A passion for interacting directly with clinicians and for improving the lives of patients.

Additionally:

  • Experience in machine learning, electrophysiological data analysis, or XXX would be an asset.
  • Experience in French would be an asset, but not strictly necessary, and the university offers evening classes at a variety of levels.

For more information about this project, please click here.  To apply, please email a CV and short letter of motivation to either pierre.jannin@univ-rennes1.fr or jbaxter@univ-rennes1.fr.

About us:

The MediCIS team at the Université de Rennes 1 aims at improving surgical quality through better understanding and better supporting the surgical decision-making process. This aim affects all elements of surgery from surgical planning to training and uses a variety of techniques including artificial intelligence, augmented reality, and human-computer interaction.

Located in Rennes, the capital of France's northeastern region of Brittany and only a two-hour train from Paris, the MediCIS team enjoys a region steeped in:

  • history; Rennes' history extends back over 2000 years with the city boasting architecture from medieval city walls to the pre-revolution Parlement of Brittany;
  • culture; Rennes' several annual music festivals are known throughout France and the world; and
  • technology; Rennes is one of France's hubs for telecommunications and digital innovation, including a recently opened Google Atelier Numérique.

Last year, Rennes was named France's most liveable city by the news magazine L'Express.