Project Idea: Feature enhancements for LORIS multimodal open neuroscience platform
Mentors: Christine Rogers <christine.rogers@mcgill.ca> and Saagar Arya <saagar.arya@mcgill.ca>
Skill level: Advanced
Required skills: Solid programming background, generally a combination of python or javascript, and unix-based development experience. Some familiarity with psychology/science research, databasing or medical imaging is an asset.
Important: We cannot support Machine Learning project proposals due to ethical constraints on sharing sensitive research data and synthetic generation costs.
Time commitment: Flexible (175/350 hours). 350 hours preferred for long-format project.
About: LORIS is an open-source database for neuroscience research projects and Open Science initiatives. Scientists and doctors worldwide use LORIS’ open-stack web platform to collect and curate, analyze and share data - including brain scans, genetic data, psychological tests, wearables, electrophysiology and more. LORIS database instances are utilized by research projects in 22 countries, and open data projects are also accessed by researchers worldwide. Within the LORIS platform, 3D visualization and advanced data tools offer a dynamic workflow environment for complex neuroinformatics research - see demo.loris.ca.
For a few examples, LORIS currently hosts datasets such as the UK Biobank and the BigBrain 3D Atlas (bigbrain.loris.ca ) - a high-resolution model of the human brain.
Working with LORIS: LORIS runs on linux, mysql, javascript/React and php, with a RESTful API and NoSQL querying engine. LORIS developers work on this open stack, and we collectively test and review code at github.com/aces/loris . We’d love to have you join our diverse team of 20 developers affiliated with the Montreal Neurological Institute and McGill University in Montreal, Canada – We especially encourage those from underrepresented backgrounds and/or interest in neuroscience, medicine or psychology research, bioinformatics, or image/signal processing to apply.
Aims: Projects can be proposed to align with the applicant’s interests, background and strengths, and developed with input from our team. Some examples from past INCF Google Summer of Code projects include: new module development, imaging pipelines, automated testing, API development. Machine Learning project proposals cannot be accepted.
Website: https://loris.ca/
Tech keywords: LORIS, JavaScript, React, REST, NoSQL, databasing, imaging, platform, open science, MRI, EEG
About AI-assisted contributions: Please carefully review our Contributing.md and AI Policy.
How to Apply:
To get in touch with us, please be sure to email christine.rogers@mcin.ca your CV (attachment) and GitHub profile link and let us know about any relevant background (e.g. clinical / research / neuroimaging). We will work with as many candidates as we can to give guidance on suitable project proposals for their interests and experience.