We recruit people to help managing our software projects. Below is a list of typical tasks involved:

Team/Project management

• Check for stale branches, be in touch with developers about their developments, make sure things are moving forward
• Help students with technical issues (how to use git, best practices for coding, etc.)
• Make new releases and announce them
• Update the wiki (e.g. a page like this one 😉 )

Documentation

• Make sure the documentation is sound, up-to-date (maybe recent changes in the code outdated the documentation)
• Create/Update video tutorial material

Interaction with users

• Be reactive to users questions on the forum; if you don't have the expertise, redirect to someone with the expertise
• Help organize courses for the project (put together course material, test it, etc.)

Advertising on specialized sites and social media

• Advertise the project on social media (FB, Twitter, etc.) and specialized sites (OHBM, ISMRM, MICCAI, etc.)
• Every time the project is used and cited, post on social media

Help on recruitment

• Post announce or contact directly potential candidates for software development, image processing, deep learning, MRI physics

Interested? –> Please contact Julien Cohen-Adad

We recruit experienced software engineers to work on the Following projects.

Main tasks:

• Refactoring, bug fixes, suggest improvements, implement new features;
• Help managing the project, create software releases, establish best coding practices;
• Interact with our users on the forum;
• Contribute to the API and user documentation;

The team:

• We are a small team composed of students and part-time developers (~15 people).

Salary:

• $40/h if you are good, up to $70/h if you are excellent.

What profile are we looking for?

• Strong coding skills in Python, use of git/github
• Passion for open-source software, data science and knowledge sharing ❤️
• Experience in project management
• Experience in data science, computer vision and deep learning is an asset

Why take this job?

• Join an environment that fosters autonomy, passion and creativity;
• Get the opportunity to take leadership in open-source projects with strong impact in the medical field;
• Develop strong image processing skills with experts in medical imaging

How to apply?

• Send requests to spinalcordtoolbox@gmail.com (include CV, GitHub link, blogs, etc.)

At the NeuroPoly lab at Polytechnique & Université de Montréal (www.neuro.polymtl.ca), best student-city in the world! (https://www.topuniversities.com/city-rankings/2017), we develop advanced MRI image analysis techniques using deep learning and distribute them as open-source software. In collaboration with neuroradiologists and world experts in deep learning (Mila), we apply these tools in patients with traumatic injury and neurodegenative diseases (multiple sclerosis, ALS, etc.).

We are recruiting Master/PhD students and Postdoc fellows to work on various projects:

• Multiple sclerosis (MS) lesion segmentation on MRI
  • Description: Segment MS lesions in order to help classify these patients (phenotype, personalized therapy). Dataset: MRIs of ~650 patients from 12 international clinical centers, MS lesions labeled by neuroradiologists. Methods: Develop/apply advanced deep learning architectures (FiLM, HEMIS, etc.).
  • Skills: Deep learning | Image analysis | Python | git/GitHub
  • Related to: ivadomed | Spinal Cord Toolbox
• Segmentation of axons and myelin from histology
  • Description: Segment axons and myelin sheath (two different labels) from large-scale histology data, in order to create microstructure atlas of the human central nervous system (example: see BigBrain project: https://bigbrain.loris.ca). Dataset: Electron microscopy and optical imaging, with about 15,000 axons and myelin sheath manually segmented.
  • Skills: Deep learning | Image analysis | Python | git/GitHub
  • Related to: AxonDeepSeg | ivadomed
• Pipelines for processing large neuroimaging datasets
  • Description: Set up processing pipelines for analysis large databases of patients. Datasets: UK Biobank, private databases from collaborating hospitals.
  • Skills: Image analysis | Neuroimaging tools | Programming | git/GitHub
  • Related to: Spinal Cord Toolbox
• Realtime shimming with MRI
  • Description: Building on our recent progress on integrated shim coils and real time shimming technology, we are recruiting Master/PhD/Postdoc fellows to work on real time shimming projects applied to the spinal cord at 7T. Research will be conducted at the NeuroPoly lab (Polytechnique, University of Montreal, www.neuro.polymtl.ca), and at the Montreal Neurological Institute (MNI, McGill University).
  • Skills: Ultra-high field MRI | MRI acquisition | Image analysis | 
  • Related to: Shimming Toolbox
  • More details here

What profile are we looking for?

• For projects on image analysis | deep learning:
  • Strong coding skills in Python, use of git/GitHub
  • Passion for open-source software, data science and knowledge sharing ❤️
  • Experience in data science, computer vision and medical imaging is an asset
• For projects on MRI physics:
  • Strong theoretical background in physics
  • Experience in MRI
  • Coding skills in Python/Matlab, use of git/GitHub

What do you gain joining our team?

• Join an environment that fosters autonomy, passion and creativity;
• Get the opportunity to take leadership in open-source projects with strong impact in the medical field;
• You will gain highly relevant expertise on bleeding edge technologies (MRI physics, computer vision, A.I., deep learning, etc.)
• You will be using a state-of-the-art 7T Siemens Terra system
• You will interact with radiologists and neurosurgeons who will apply these techniques
• You will collaborate with top institutions (Univ. Montreal, McGill, MGH/Harvard, UCL, Oxford, etc.)

How to apply?

• Send requests to Julien Cohen-Adad (include CV, GitHub link, blogs, grades, references)