Job Openings | PPSP team

Cognitive Science Intern — XR Neuropsychological Task Design

Shaping the future of neuropsychology in XR

Internship

Open

Winter or Summer 2026 (flexible)

Internship — Phenomenological Analysis

Interview Coding and Analysis

Internship

Open

Summer 2026

Swift / iOS Developer

Mobile Apps for Pediatric Clinical Research

Internship

Open

Summer 2026

Python Developer for the HyPyP Library

HyPyP: Metrics Development and Visualizations

Internship

Open

Summer 2026 (from May)

Intern in Experimental Psychology and Neuropsychology of Social Cognition

Experimental Protocols & Interpersonal Synchrony

Internship

Open

Summer 2026

Data Visualisation Wizard

Making interactions beautiful

Internship

Open

Summer 2026

LocationCHU Sainte-Justine, Montreal

Duration4–5 months (full-time)

StartWinter or Summer 2026 (flexible)

On-site3 days/week

Our Mission

Social NeuroAI Hub — Where minds connect Où les intelligences se rencontrent The PPSP Laboratory is located at CHU Sainte-Justine, one of the world’s largest pediatric university hospitals. We develop the sciences and technologies that enable understanding of how diverse intelligences coordinate, develop, and support one another. Our approach: multimodal hyperscanning simultaneously records brain, physiology, language, and behavior of multiple people in interaction. Our goal is to explore cognitive and meta-cognitive potentialities and diversities. We create open-source tools, clinical protocols, and knowledge that together directly serve children, families, and healthcare providers. From lab to hospital, from science to health.

Project Context — PRISME

PRISME (Immersive Reality Platform for Monitoring and Measuring Clinical Expressions) is a research program at the PPSP Laboratory, dedicated to developing immersive tools to better understand cognitive and motor functioning in youth with neurodevelopmental disorders (NDD).

Our objective: 👉 Reinvent classic neuropsychological tasks in XR to obtain finer, more ecological, and developmentally sensitive measures.

We transform standardized tests (fine motor skills, cognitive flexibility, attention, inhibition, visuomotor coordination…) into interactive tasks integrated into Meta Quest 3. Data are then combined with computational psychiatry models.

Your Mission

Design neuropsychological tasks adapted to XR

You will be responsible for the scientific conceptualization of future PRISME tasks, based on:

Reference neuropsychological tests (Purdue Pegboard, WCST, WISC, etc.)
Psychometric validity principles (reliability, developmental sensitivity, inter-individual sensitivity)
XR experimental constraints (interaction, ergonomics, over-stimulation, spatio-temporal calibration)
Computational metrics extracted in XR (variability, speed, spatial errors, trajectories, entropy, jitter, reaction time, intra-individual stability)

Concretely, you will:

1. Map existing tests

Analyze cognitive/motor objectives of each test
Identify underlying processes (executive control, sequencing, fine motor skills, sensorimotor feedback)

2. Define their XR transposition

Decomposition into XR action units
Identification of relevant XR affordances (simple interactions, natural gestures, virtual manipulation)
Proposal of 2–3 variants per test depending on cognitive or motor level

3. Describe relevant metrics

For each XR task:

Primary variables (main measures of construct)
Secondary variables (kinematics, accuracy, errors)
Stable performance indicators vs. experimental noise
Estimation of expected sensitivity (development, NDD profiles)

4. Produce PRISME scientific specifications

👉 Main internship deliverable A structured dossier including:

Cognitive logic of the task
Hypotheses on metrics
Implementation parameters
Experimental evaluation plan (validity, reliability, calibration)

These documents will guide the Unity and data science teams for implementation in PRISME.

Profile

Desired Profile

Education

Student in cognitive science, psychology, neuroscience, neuropsychology, occupational therapy, or related discipline — Bachelor level (3rd year) or equivalent.

Essential Skills

Excellent understanding of cognitive functioning and its assessment
Knowledge of standardized neuropsychological tests
Ability to analyze a task and identify mobilized cognitive/motor processes
Mastery of validity, reliability, and developmental sensitivity concepts
Strong interest in quantitative behavioral measurement
Scientific rigor and attention to detail
Ability to structure documents and conceptual models

Assets (not mandatory)

Interest in XR / VR / natural interactions
Basic knowledge of motor behavior, coordination, or advanced psychometry
Familiarity with formal metrics (variability, trajectories, reaction time)
Basics in Unity or C# (a bonus, not required)

Skills You Will Develop

What You Will Develop

Scientific Skills

Task analysis and cognitive process modeling
Deep understanding of clinical neuropsychological tests
Introduction to computational psychiatry applied to NDD
Design of tasks adapted to immersive interactions

Methodological Skills

Definition and operationalization of behavioral metrics
Writing of complete scientific specifications
Rigorous documentation for interdisciplinary pipeline

Practical Skills

Work in a hospital environment (CHU Sainte-Justine)
Collaboration with engineers, clinicians, and data scientists
Participation in PRISME project meetings

Expected Deliverable

A complete scientific dossier including:

Theoretical analysis of adapted tests
XR version specifications
List of operationalized metrics
Implementation parameters and constraints
Recommendations for evaluation and calibration
Document integrated directly into the PRISME infrastructure.

Supervision

Supervision & Team

Guillaume Dumas (Scientific Supervisor) — Scientific vision, strategic guidance
Rémy Ramadour (Research Engineer) — Technical support
Mariem Hafsia (PhD student in Psychiatric Science) — Daily support, technical review, practical mentoring

Working Conditions

Work Environment & Benefits

CHU Sainte-Justine — Pediatric University Hospital

You work in a hospital that treats 400,000 children per year. This environment gives meaning to your daily life: the research you develop will directly serve the children, families, and caregivers you cross in the hallways.

Subsidized cafeteria: Complete meals at union rate (~$6-10/meal)
Cafeteria open 7 days/7, rest areas
University library: Access to UdeM resources, scientific databases
Transport: Metro 5 min walk, parking available (fees apply)

Montreal Scientific Ecosystem

Seminars: Access to weekly talks (AI, neuroscience, digital health)
Training: Workshops and courses (deep learning, methodology, ethics)
Events: Scientific days, hackathons, conferences
Network: Interaction with the Mila-IVADO ecosystem (researchers, engineers, startups)

Professional Development

Career mentoring: Guidance on academic or industrial trajectories
Letters of recommendation: Detailed, from an internationally recognized laboratory

Team Life

Weekly lab meetings (presentations, scientific discussions)
Culture of constructive feedback and continuous learning
Multicultural and interdisciplinary environment
Occasional social events

Application

Application Procedure

Send in PDF:

CV (2 pages max)
Cover Letter (1 page)
Transcripts
(Optional) References or relevant work

Email: apply@ppsp.team Subject: Application — PRISME Internship — Cognitive Science — [Name]

Document format: Send all documents in PDF format, named as follows:

NomPrenom_CV.pdf
NomPrenom_Transcripts.pdf
NomPrenom_CoverLetter.pdf

In the email body:

Link to your GitHub if you have one
Desired availability period
Any questions

Questions? Write to us. We answer all questions.

LocationCHU Sainte-Justine, Montreal

Duration12 weeks minimum

StartSummer 2026

On-site3 days/week minimum

Our Mission

Your Mission

You will join the project «Computational approaches to the phenomenology of togetherness in autism and non-autism». Your mission: analyze the lived experience of social interaction in autistic and non-autistic individuals, through phenomenological interviews and body maps.

What you will do:

Transcription & Data Preparation

Transcribe phenomenological interviews
Prepare and organize data for analysis
Ensure quality and accuracy of transcriptions

Coding & Analysis

Code interviews using Atlas.ti and open source software
Conduct thematic analysis / IPA (Interpretative Phenomenological Analysis)
Analyze body maps

Documentation & Methodology

Document coding procedures
Contribute to methodological guides development
Participate in team discussions on analysis

Impact: Contribute to better understanding the lived experience of social interaction in autistic individuals.

Profile

What drives you

You are drawn to concrete, robust, lasting execution.

Results-oriented: You find satisfaction in work that delivers, goals achieved, documentation that clarifies.
Intellectual curiosity: You want to understand why we pursue these projects, how they fit into research.
Methodological rigor: You work in a structured way, document your approaches, validate your results.
Collaborative spirit: You appreciate feedback, share your reflections, welcome input.
Autonomy: Faced with a problem, you break it down, explore, test hypotheses.

Education

Student in psychology, neuropsychology, cognitive science, sociology, anthropology, philosophy or related discipline.

Required skills

French fluency (mandatory — interviews and analyses in French)
Rigor and attention to detail (mandatory)

Valued assets (not mandatory)

Experience in qualitative analysis
Knowledge of phenomenological methods (IPA, etc.)
Proficiency in coding software (Atlas.ti, NVivo, etc.)
Experience in interview transcription
Knowledge of autism / neurodiversity
English proficiency

Skills You Will Develop

After these 12 weeks minimum, you will have developed unique and sought-after expertise.

Technical Expertise

Mastery of phenomenological analysis methods (IPA)
Qualitative coding competence (Atlas.ti, open source tools)
Experience in body map analysis
Rigorous transcription techniques

Interdisciplinary Vision

You will understand how neuroscience, phenomenology, and clinical applications articulate. You will have worked in a pediatric university hospital, observed how research connects to the real needs of children and families.

Concrete Portfolio

Completed interview transcriptions
Coded database (Atlas.ti)
Thematic analysis report
Methodological guide (coding protocol)
Presentations (lab meetings)

Network & Trajectories

You will work at CHU Sainte-Justine, with access to seminars and training from Montreal’s AI ecosystem (Mila, IVADO). Depending on project progress, you may co-sign publications.

Supervision

Scientific Supervisor Guillaume Dumas, Full Professor in Computational Psychiatry, Université de Montréal

Daily Mentor Anne Monnier, PhD candidate in Psychiatric Sciences — daily support, technical review, practical mentoring

Working Conditions

Compensation & Duration

Duration: 12 weeks minimum (possibility to extend)
Start: Summer 2026
Scholarships: We support applications to grants (FRQS, FRQSC, Mitacs, SSHRC, CIHR, etc.)

Work Organization

On-site: 3 days/week minimum at CHU Sainte-Justine
Remote: 2 days/week possible depending on progress
Flexible hours (core hours: 10am-4pm)

Application

Recruitment Process

Required Documents

CV (2 pages maximum)
Transcripts (last 2 years)
Cover letter (1 page): why this internship? why PPSP? your 3-5 year plan

Process

Step 1: Application screening (response within 7 days)
Step 2: Motivation interview (30 min, video or in-person)
Step 3: Technical interview (1h, in-person at CHU) — methodological discussion + presentation of previous work
Step 4: Tie-breaking interview (optional, 30 min)

How to Apply

Email: apply@ppsp.team
Subject: «Application Phenomenological Analysis Internship - [Your Name]»
Document format: PDFs named LastnameFirstname_CV.pdf, LastnameFirstname_Transcripts.pdf, LastnameFirstname_CoverLetter.pdf

LocationCHU Sainte-Justine, Montreal

Duration12+ weeks (3+ months)

StartSummer 2026

On-site3 days/week minimum

Our Mission

Your Mission

We develop iOS applications for tablets intended for pediatric clinical research. These applications include neuropsychological and neurophenomenological tests, phenotypic questionnaires, assessment scales, metacognition tests, and cooperation/synchronization “games”. You will join a team that already has functional applications (like our iOS neuropsychology scales) with reusable authentication and CloudKit synchronization modules.

What you will do:

Development

Design and develop native iOS applications in Swift/SwiftUI with MVVM architecture
Implement authentication via Sign in with Apple for secure clinical use
Manage data persistence with Core Data and synchronization via CloudKit
Extend and improve existing modules for new applications

Validation & Testing

Write and maintain unit tests (XCTest) to ensure code quality
Participate in testing with real users (children, clinicians) in hospital settings
Validate application robustness on different iPad devices

Documentation & Open-Source

Document reusable modules to facilitate development of future applications
Contribute to the laboratory’s open-source repositories (e.g., github.com/Ramdam17/IOS-Scale)
Write technical documentation for developed architectures

Applied Research

Collaborate with neuropsychology interns to define tests, protocols, and variables
Adapt interfaces to specific needs of pediatric populations
Integrate clinical feedback to improve user experience

Impact: Your applications will be used directly by clinical teams at CHU Sainte-Justine to assess and support children and their families.

Profile

Desired Profile

What drives you

You are drawn to concrete, robust, lasting execution.

Results-oriented: You find satisfaction in work that delivers, goals achieved. The completion of work well done motivates you.
Intellectual curiosity: You want to understand why we pursue these projects, how they fit into research, what they will serve.
Methodological rigor: You work in a structured way, document your approaches, validate your results.
Collaborative spirit: You appreciate feedback, share your reflections, welcome input.
Autonomy and collaboration: Faced with a problem, you break it down, explore documentation, test hypotheses. You navigate naturally between autonomous work and co-construction.

Core Technical Skills

Required:

Swift & SwiftUI: solid mastery with at least one end-to-end project completed
MVVM architecture: understanding and practical application
Git/GitHub: daily use, collaboration via pull requests
Active GitHub link with at least one visible iOS project (required, no alternative)

Valued assets (not required):

Core Data / CloudKit: experience with data persistence and synchronization
Sign in with Apple: Apple authentication implementation
Unit tests (XCTest): iOS testing experience
Experience with applications published on the App Store
Interest in social neurosciences and clinical research

How we grow together

This internship is a space for mutual development. You will bring your skills and perspective, we will share our scientific and methodological expertise. Through daily collaboration, work reviews, discussions, and mentorship, everyone develops the skills that advance the project.

Skills You Will Develop

After these 12+ weeks, you will have developed unique and sought-after expertise.

Technical Expertise

Advanced mastery of Swift/SwiftUI in clinical production context
MVVM architecture applied to complex applications
Core Data + CloudKit integration for robust synchronization
Testing and documentation best practices in open-source environment

Interdisciplinary Vision

The neuro-AI-clinical bridge: You will understand how fundamental neuroscience, artificial intelligence, and clinical applications articulate. You will have worked in a pediatric university hospital, observed how research connects to the real needs of children and families. Multidisciplinary culture: You will be able to dialogue with neuroscience researchers, engineers, clinicians, and designers.

Network & Trajectories

You will work at CHU Sainte-Justine, with access to seminars and training from Montreal’s AI ecosystem (Mila, IVADO). Depending on project progress, you may co-sign methodological publications.

Concrete Portfolio

iOS applications published (or ready to publish) on the App Store
Documented reusable modules (authentication, CloudKit sync, etc.)
Open-source code on GitHub
Technical documentation of developed architectures

Supervision

Supervision & Mentoring

Scientific supervisor: Guillaume Dumas
Technical supervisor: Rémy Ramadour, Research Engineer
Project team: 5+ people, including neuropsychology interns

Working Conditions

Compensation & Duration

Status: Paid internship (agreement with your institution)
Scholarships: We encourage applications for scholarships (FRQNT, FRQS, Mitacs)
Duration: 12+ weeks (approximately 3+ months)
Start: Summer 2026

Work Organization

On-site: 3 days/week minimum at CHU Sainte-Justine
Remote work: 2 days/week possible
Flexible hours, core hours: 10am-4pm

Application

Recruitment Process

Our process is designed to be transparent, respectful, and fair. The goal: find the right mutual fit.

Required Documents

Mandatory:

CV (2 pages maximum)
Transcripts (last 2 years)
Cover letter (1 page): Why this internship? Why PPSP? Your 3-5 year plan
GitHub link with at least one visible iOS project

Complementary (recommended):

1 to 2 references (academic or professional): name, title, email

Selection Process

Step 1: Application Screening (7 days) We evaluate: motivation and alignment, technical skills, growth potential, project fit. You receive a response within 7 business days.

Step 2: Motivation Interview (30 min) Open discussion to get to know you better: your background, motivations, career plan, and questions.

Step 3: Technical Interview (45 min) Code review of one of your GitHub projects + technical discussion on architecture, design choices, and iOS best practices.

Step 4: Tie-Breaking Interview (Optional, 30 min) If several excellent applications are balanced.

How to Apply

Email: apply@ppsp.team
Subject: “Application Swift/iOS Developer Internship — [Your Name]”
Format: PDF documents named LastnameFirstname_CV.pdf, LastnameFirstname_Transcripts.pdf, LastnameFirstname_CoverLetter.pdf
In the email body: GitHub link, desired availability period, any questions
Questions? Write to us. We respond to all questions.

LocationCHU Sainte-Justine, Montreal

Duration12 to 20 weeks (3 to 5 months)

StartSummer 2026 (from May)

On-site3 days/week minimum

Our Mission

Your Mission

HyPyP is the reference Python library for analyzing inter-brain synchrony in hyperscanning. Your mission: extend the analysis capabilities of synchronization dynamics by developing new metrics and visualization tools.

What you will do:

Development

Implement new synchrony metrics
Create interactive visualization modules
Optimize existing pipeline performance
Ensure robust code with tests and method benchmarks

Validation & Testing

Write unit and integration tests
Validate metrics on synthetic and real data
Compare results with scientific literature
Document performance and limitations

Documentation & Open-Source

Write technical documentation for new features
Create tutorials and usage examples
Contribute to API documentation
Participate in code reviews and GitHub issues

Applied Research

Explore literature on inter-brain synchrony metrics
Adapt methods from other fields (information theory, geometric algebra)
Collaborate with researchers to test tools on clinical data

Concrete Projects

Development of metrics based on information theory and geometric algebra
Dashboard for visualizing synchrony results
Application on ongoing pilot studies in the laboratory

Impact Your contributions will directly feed into the laboratory’s clinical studies on inter-brain dynamics and will be shared with a growing community of researchers in social neuroscience.

Profile

Desired Profile

What drives you

You are drawn to concrete, robust, lasting execution.

Results-oriented — You find satisfaction in work that delivers, goals achieved, documentation that clarifies. The completion of work well done motivates you.
Intellectual curiosity — You want to understand why we pursue these projects, how they fit into research, what they will serve. You read, ask questions, explore beyond your immediate mission.
Methodological rigor — You work in a structured way, document your approaches, validate your results. You take time to do things properly.
Collaborative spirit — You appreciate feedback, share your reflections, welcome input. You contribute to a constructive team dynamic.
Autonomy and collaboration — Faced with a problem, you break it down, explore documentation, test hypotheses. You navigate naturally between autonomous work and co-construction.

Core Technical Skills

Python & scientific ecosystem

Python proficiency
Experience with NumPy/SciPy/Pandas
Familiarity with virtual environments and package managers

Software quality

Experience with Git
Test writing (pytest)
Code documentation

Signal processing / neuroscience

Signal processing fundamentals
Interest in EEG/physiological data

Mandatory verifiable element

Active GitHub with personal projects or open-source contributions

Valued Assets (not mandatory)

Experience with MNE-Python or other neuroscience libraries
Knowledge in information theory or geometric algebra
Previous contributions to open-source projects
Data visualization experience (Matplotlib, Plotly, Dash…)
Familiarity with BIDS standards
Interest in social neuroscience or psychiatry
Scientific publications or presentations

How we grow together

Skills You Will Develop

After this internship, you will have developed unique and sought-after expertise.

Technical Expertise

Advanced mastery of scientific Python library development
Expertise in inter-brain synchrony metrics (information theory, geometric algebra)
Complex data visualization skills
Robust software development practices (tests, CI/CD, documentation)
Understanding of neurophysiological data analysis pipelines

Interdisciplinary Vision

The neuro-AI-clinical bridge — You will understand how fundamental neuroscience, artificial intelligence, and clinical applications articulate. You will have worked in a pediatric university hospital, observed how research connects to the real needs of children and families. Multidisciplinary culture — You will be able to dialogue with neuroscience researchers, engineers, clinicians, and designers.

Open Research Methodology

Reproducible science — You will master open science standards: versioned work, documented pipelines, reproducible analyses.

Network & Trajectories

Montreal ecosystem — You will work at CHU Sainte-Justine, with access to seminars and training from Montreal’s AI ecosystem (Mila, IVADO). Possible co-authorship — Depending on project progress, you may co-sign methodological publications or studies using your contributions.

Concrete Portfolio

Metrics modules integrated into HyPyP (published open-source code)
Functional visualization dashboard
Test suite and technical documentation
Comparative benchmarks of implemented methods
Possible contribution to a methodological publication

Supervision

Supervision & Mentoring

Scientific supervisor: Guillaume Dumas
Technical mentor: Rémy Ramadour (Research Engineer)
Project team: 5+ people (including a neuropsychology-focused intern)

Working Conditions

Compensation & Duration

Status: Paid internship (agreement with your institution)
Scholarships: We encourage applications for scholarships (FRQNT, FRQS, Mitacs)
Duration: 12 to 20 weeks
Workload: Full-time (35-40h/week) or part-time depending on academic constraints
Start: Summer 2026 (from May)

Work Organization

On-site: 3 days/week minimum at CHU Sainte-Justine
Remote work: 2 days/week possible depending on project progress
Flexible hours (core hours: 10am-4pm)

Application

Recruitment Process

Our process is designed to be transparent, respectful, and fair.

Required Documents

Mandatory:

CV (2 pages maximum)
Transcripts (last 2 years)
Cover letter (1 page): Why this internship? Why PPSP laboratory? Your 3-5 year career plan
Active GitHub link

Complementary (appreciated):

Letters of recommendation (academic or professional)

Selection Process

Step 1: Application Screening (7 days) We evaluate: motivation and alignment, technical skills, growth potential, project fit. You receive a response within 7 business days.

Step 2: Motivation Interview (30 min) Video conference or in-person. Open discussion about your background, motivations, career plan.

Step 3: Technical Interview (45 min) Discussion around one of your GitHub projects and/or technical case study.

Step 4: Tie-Breaking Interview (Optional, 30 min) If several excellent applications are balanced.

Our Commitments

Systematic response to every complete application
Transparency on criteria and timeline
Constructive feedback for interviewed candidates
Respect for your time (no ghosting, no excessive delays)
Equity: same criteria for everyone

How to Apply

Email: apply@ppsp.team
Subject: “Application Python Developer HyPyP Internship - [Your Name]”
Document format:
- LastnameFirstname_CV.pdf
- LastnameFirstname_Transcripts.pdf
- LastnameFirstname_CoverLetter.pdf
In the email body: GitHub link, desired availability period, any questions.
Questions? Write to us. We respond to all questions.

LocationCHU Sainte-Justine, Montreal

Duration12+ weeks

StartSummer 2026

On-siteIn-person : 3 days/week minimum

Social NeuroAI Hub — Where minds connect

Our Mission

The PPSP Laboratory is located at CHU Sainte-Justine, one of the world’s largest pediatric university hospitals. We develop the sciences and technologies that enable understanding of how diverse intelligences coordinate, develop, and support one another. Our approach: multimodal hyperscanning simultaneously records brain, physiology, language, and behavior of multiple people in interaction. Our goal is to explore cognitive and meta-cognitive potentialities and diversities. We create open-source tools, clinical protocols, and knowledge that together directly serve children, families, and healthcare providers. From lab to hospital, from science to health.

Your Mission

Within the PPSP laboratory, you will participate in the entire research cycle: from protocol design to data analysis, including field data collection. You will contribute to studies exploring social interaction and cognition, using innovative approaches including neurophenomenology.

What you will do:

Protocol Development

Literature review in neuropsychology, experimental psychology, and neurophenomenology
Design of experimental tasks
Adaptation and validation of questionnaires
Design of neurophenomenological protocols
Contribution to task development using the laboratory’s internal tools

Data Collection & Administration

Administration of standardized neuropsychological tests
Administration of experimental tasks
Conducting interviews and collecting subjective data (neurophenomenological approaches)
Participation in session logistics management (scheduling, reception, consent)

Data Analysis

Data entry and cleaning
Scoring of neuropsychological tests
Statistical analyses in collaboration with the team
Qualitative and thematic analysis of neurophenomenological data

Documentation

Contribution to administration manuals and standard operating procedures
Participation in experimental protocol documentation

Profile

What drives you

You are drawn to concrete, robust, lasting execution.

Results-oriented — You find satisfaction in work that delivers, goals achieved, documentation that clarifies. The completion of work well done motivates you.
Intellectual curiosity — You want to understand why we pursue these projects, how they fit into research, what they will serve. You read, ask questions, explore beyond your immediate mission.
Methodological rigor — You work in a structured way, document your approaches, validate your results. The quality of your work matters to you.
Collaborative spirit — You appreciate feedback, share your reflections, welcome input. You contribute to a constructive team dynamic.
Autonomy and collaboration — Faced with a problem, you break it down, explore documentation, test hypotheses. You navigate naturally between autonomous work and co-construction.

Core Technical Skills

Education

Ongoing training in psychology (all levels considered)
Training in experimental methods in psychology (ongoing or completed)
Training in neuropsychological testing (ongoing or completed)
Basic knowledge of statistics

Languages

Scientific English (reading articles)

Valued Assets (non-mandatory)

Strong interest in social cognition and social interactions
Prior research experience (even minor)
Knowledge of neurophenomenology or first-person approaches
Basic Python skills
Experience with pediatric or family populations

How we grow together

Skills You Will Develop

Skills You Will Develop

At the end of this internship, you will have developed unique and sought-after expertise.

Technical Expertise

Experience in administering standardized neuropsychological tests
Competence in experimental protocol design
Experience in neurophenomenological data collection
Mastery of behavioral and subjective data analysis

Interdisciplinary Vision

Open Research Methodology

Reproducible science — You will master open science standards: versioned work, documented pipelines, reproducible analyses. These practices are becoming essential in all fields of research.

Network & Trajectories

Montreal ecosystem — You will work at CHU Sainte-Justine, with access to seminars and training from Montreal’s AI ecosystem (Mila, IVADO). You will meet researchers, engineers, and clinicians shaping the future of neuro-AI. Post-internship trajectories — Our former interns pursue varied paths: PhD in computational neuroscience or AI, research engineer positions in academic institutes, neuro-tech development, industrial careers, and company creation.

Concrete Portfolio

At the end of the internship, your portfolio will include:

Documented experimental protocols you contributed to
Collected and analyzed data
Reports and results summaries
Procedure documentation

Working Conditions

Compensation & Duration

Status: Paid internship (agreement with your institution)
Compensation: According to your institution’s internship agreement
Scholarships: We encourage and support scholarship applications (FRQNT, FRQS, Mitacs, and others)
Duration: 12+ weeks
Workload: Full-time (35-40h/week) or part-time depending on academic constraints (to discuss)
Start: Summer 2026

Work Organization

On-site:

3 days/week minimum at CHU Sainte-Justine (Montreal)
Location: 3175 chemin de la Côte-Sainte-Catherine (Université-de-Montréal metro)
Flexibility to accommodate participant availability

Remote work:

2 days/week possible depending on project progress Schedule:
Flexible within 8am-6pm range Core hours: 10am-4pm

Supervision & Mentoring

Scientific supervisor: Guillaume Dumas (Laboratory Director) — Scientific vision, strategic guidance, networking opportunities. Monthly meetings + ad hoc availability.
Daily mentor: Rémy Ramadour (Research Engineer) — Daily support, technical review, practical mentoring. Weekly check-ins + near-daily availability.
Project team: 5+ people including another intern. Team rituals: weekly stand-ups, work reviews, collaboration.

Environment & Benefits You work at CHU Sainte-Justine, a hospital that treats 400,000 children per year. Subsidized cafeteria, university library, access to seminars from Montreal’s AI ecosystem (Mila, IVADO), career mentoring, and detailed letters of recommendation.

Application

Write to : apply@ppsp.team
Subject : “Application Experimental Psychology Internship - [Your Name]”
Document format : PDF named NomPrenom_CV.pdf, NomPrenom_RelevéNotes.pdf, NomPrenom_LettreMotivation.pdf
In the body of the email : desired availability period, any questions.
Questions ? Write to us. We answer all questions.

LocationCHU Sainte-Justine, Montreal

Duration12 weeks minimum

StartSummer 2026

On-site3 days/week minimum

Our Mission

Your Mission

HyPyP is the reference library for analyzing brain synchrony during social interactions — used daily by researchers worldwide. Your mission: transform complex data into beautiful and interpretable visualizations, following the approach of Shirley Wu who encodes multiple dimensions in innovative visual representations.

What you will do:

Development & Design

Improve existing visualizations in HyPyP (connectivity, synchrony, topographies, rejection mapping)
Create new representation modalities for multidimensional data (inspired by Shirley Wu’s approaches)
Develop reusable Python + D3.js scripts for interactive visualizations
Design figure templates for scientific publications (SVG, PNG)

Scientific Visualizations

Propose visualizations for neuropsychological and neurophenomenological assessments
Create representations for connectivity matrices and their temporal dynamics
Visualize information theory metrics (Phi ID, integrated information)
Develop topomaps and physiological synchrony graphs

Team Support

Support 4 PhD students in creating figures for their publications
Collaborate with the HyPyP development intern on visualization integration
Create a library of templates and visual guidelines for the laboratory

Impact: Your contributions will be integrated into HyPyP, an internationally used open-source library. You will transform how researchers visualize and communicate brain and physiological interactions.

Profile

Desired Profile

What drives you

You are drawn to concrete, robust, lasting execution. You find satisfaction in work that delivers, goals achieved, documentation that clarifies. You want to understand why we pursue these projects and how they will serve. You work in a structured way and the quality of your work matters to you.

We are looking for two complementary profile types: developer/data scientist with aesthetic sensitivity, OR arts/design/communication student with solid coding foundations. If you feel “between two worlds”, this internship is for you.

Core Technical Skills

Data viz programming: Python (matplotlib, seaborn, plotly) and/or JavaScript/D3.js
Visual design: Mastery of design principles, demonstrated aesthetic sensitivity
Complex data: Experience with multidimensional data
Required portfolio: Portfolio and/or GitHub demonstrating your visualization projects

Valued Assets (non-mandatory)

Experience with neuroscience / physiology data (EEG, biological signals)
Open-source contributions
Experience with animation / interactive visualizations
Familiarity with the scientific Python ecosystem (NumPy, Pandas, MNE-Python)
Background in design, visual arts, or visual communication

Skills You Will Develop

After these 12+ weeks, you will have developed unique and sought-after expertise.

Technical Expertise

Visualization of neuroscientific data (EEG, synchrony, connectivity)
Creation of open-source visualization libraries
Design of innovative representations for multidimensional data
Python + D3.js integration for interactive scientific visualizations

Interdisciplinary Vision

You will understand how fundamental neuroscience, artificial intelligence, and clinical applications articulate. You will be able to dialogue with neuroscience researchers, engineers, clinicians, and designers. You will have worked in a pediatric university hospital, observed how research connects to real needs.

Network & Trajectories

You will work at CHU Sainte-Justine, with access to seminars and training from Montreal’s AI ecosystem (Mila, IVADO). Depending on project progress, you may co-sign publications. Our former interns pursue varied paths: PhD, research engineer positions, neuro-tech development, industrial careers.

Concrete Portfolio

Contributions to HyPyP (internationally used library)
Reusable visualization scripts/modules (Python + D3.js)
Figure templates for scientific publications
New visual representations for advanced metrics (Phi ID, dynamic connectivity)

Supervision

Supervision & Team

Scientific supervisor: Guillaume Dumas — Scientific vision, strategic guidance
Technical mentor: Rémy Ramadour (Research Engineer) — Daily support, technical review
Project team: 7+ people including a HyPyP development intern and 4 PhDs with graphic needs

Working Conditions

Compensation & Duration

Status: Paid internship (agreement with your institution)
Scholarships: We support scholarship applications (FRQNT, FRQS, Mitacs, etc.)
Duration: 12 weeks minimum
Workload: Full-time (35-40h/week) or part-time depending on academic constraints
Start: Summer 2026

Work Organization

On-site: 3 days/week minimum at CHU Sainte-Justine (3175 chemin de la Côte-Sainte-Catherine, Université-de-Montréal metro)
Remote work: 2 days/week possible
Schedule: Flexible (8am-6pm), core hours 10am-4pm for team collaboration

Application

Recruitment Process

Our process is designed to be transparent, respectful, and fair. The goal: find the right mutual fit.

Required Documents

Mandatory:

CV (2 pages maximum)
Transcripts (last 2 years)
Cover letter (1 page): Why this internship? Why PPSP? Your 3-5 year plan
Portfolio and/or GitHub link demonstrating your data visualization projects

Complementary (recommended):

1 to 2 references (academic or professional): name, title, email

Selection Process

Step 1: Application Screening (7 days) We evaluate motivation and alignment, technical skills, growth potential, and project fit. You receive a response within 7 business days, even if your application is not selected.

Step 2: Motivation Interview (30 min) Video conference or in-person (your choice). Open discussion about your background, motivations, career plan. What we evaluate: motivational alignment, career plan clarity, communication ability.

Step 3: Technical Interview (45 min) Commented portfolio review: you present your visualization projects. Technical discussion around a concrete lab case (communicated in advance): how would you visualize this data?

Step 4: Tie-Breaking Interview (optional, 30 min) If several excellent applications are balanced.

Our Commitments

Initial response: 7 business days after complete application received
Final decision: 48 hours after last interview
Constructive feedback for candidates interviewed
Respect for your time (no ghosting, no excessive delays)

How to Apply

Email: apply@ppsp.team
Subject: “Application Data Visualisation Wizard Internship - [Your Name]”
Document format:
- LastnameFirstname_CV.pdf
- LastnameFirstname_Transcripts.pdf
- LastnameFirstname_CoverLetter.pdf
In the email body: Link to portfolio/GitHub, desired availability period, any questions.
Questions? Write to us. We respond to all questions.