Applied Research Fellow Program
Make your research
travel further
Research that earns a place in academic journals
and creates real impact for real clients.
Applications are now open

R&D at the frontier of
behavioral science and AI
The Decision Lab is an applied research and innovation firm. We use behavioral science and AI to help ambitious organizations create a better future, working with the Gates Foundation, the World Bank, Capital One and dozens of Fortune 500s, and running one of the largest publications in applied behavioral science.
At the heart of the fellowship is your own R&D. You’ll develop new research at the intersection of behavioral science and AI, supervised by senior researchers who work on these questions every day. You’ll then apply it to a real project, testing your ideas in the field with large clients and gaining consulting experience as you go.
- Length
- 16 weeks
- Start
- January 2027
- Where
- Montreal
- Your time
- Research and client work
Fitted around your programme
Flexible if your schedule needs it
Most fellows join us in Montreal, but we’re flexible if remote works better for you
Roughly 70/30, shifting with the project
Work that leaves the lab and
lands somewhere.
Many of our projects sit where behavioral science meets AI: human-AI interaction, algorithmic decision-making, responsible AI. Here’s the kind of thing fellows have worked on, and what’s live now.

Human-AI interaction
Behaviorally optimising an AI contact tracing app
We redesigned how an AI-powered COVID-19 contact tracing app communicated risk and asked for action, so people would actually follow through.
With Mila
Past engagement

Digital mental health
Hikai, a CBT chatbot for workplace mental health
An AI product built end to end, from behavioral diagnostics through to the conversational design that keeps people coming back to it.
TDL product
Built in-house

Synthetic research
Artificial Populations
Our platform for running focus groups, surveys and interviews with synthetic participants, turning weeks of fieldwork into hours. Fellows help stress-test the method against real behavioral data.
Active R&D
Open to fellows now
What it’s really like to bring
your research here.
Spend 16 weeks alongside behavioural scientists, designers, and practitioners, exploring how your research can be applied to real-world problems. Bring your expertise, challenge our thinking, and leave with a deeper understanding of where your work can make an impact.

Abhinanda Dash
Applied Research Fellow
UCLA

Maxine Parker
Applied Research Fellow
Queen's University

Mads Hoefer
Applied Research Fellow
University of Oxford

Maya Low
Applied Research Fellow
McGill University

Naga Thovinakere
Applied Research Fellow
McGill University

Dr. Hilary Sweatman
Applied Research Fellow
McGill University

Dr. Catalina Enestrom
Applied Research Fellow
McGill University
How your time splits
The balance may shift slightly with project needs and your academic background.
70%Research & analysis
- Structured literature reviews and evidence syntheses
- Experimental design, measurement strategies, and analysis plans
- Behavioral diagnostics and research frameworks
- Research notes, working papers, policy briefs, and public-facing outputs
- Internal research discussions and reviews
30%Applied work with partners
- Supporting applied projects with public- and private-sector partners
- Translating findings into practical insights and recommendations
- Preparing client-facing reports, decks, and briefs
- Seeing how research is adapted for policy, organizational, and technological contexts
Guided by SPICE
At The Decision Lab, we believe creating social impact takes a SPICE approach. We use these values to evaluate ourselves, our work, the clients we take on, and the people who join our team.
- SSocially conscious
- PPragmatic
- IInventive
- CCatalytic
- EEvidence-based
Questions, answered
Your R&D is shaped around you. We start from your PhD research and background, and together we find where it meets AI. That becomes the focus of your fellowship. We then look for client opportunities where your work can be applied, so you can test your ideas in the field with large clients.
Yes. Many projects involve close collaboration with external partners, including nonprofits, government agencies, research institutes, foundations, and private-sector organizations. The level of interaction varies by project.
Once you're onboarded to your project, a typical week includes one or two internal team meetings alongside independent research, literature reviews, analysis, writing, and collaboration with your project team. Some projects also include regular meetings or presentations with partner organizations.
The fellowship runs 16 weeks, at 37.5 hours per week, 9 AM-5 PM EST.
We typically run three fellowship cohorts each year:
- Early September - Mid December
- Mid January - End of April
- Early May - Mid August
We prefer fellows to start with one of these cohorts so they can engage with and learn alongside their peers throughout the program. However, we understand that individual circumstances vary, and we're happy to consider exceptions on a case-by-case basis.
Most fellows have joined us on-site, which makes for a better experience. It isn't a hard requirement - if you're a strong fit and can't relocate, say so in your application.
Yes, and it's deliberate. Timelines flex with project realities, but the structure holds.
No. Fellows are funded externally, usually through their home programme, a research grant, or a fellowship or award. We can only accept applicants who have funding in place for the full placement, and we're happy to provide letters or documentation to support a funding application.
The fellowship is designed as a full-time commitment, so we ask fellows to give it their full attention for the 16 weeks. It's an ambitious program, and fellows aim to produce three papers, which takes real, dedicated time. Many fellows stay connected to their home institution, joining lab meetings or keeping up with smaller commitments, and that's absolutely fine. What doesn't work well is splitting time evenly with dissertation writing, so we encourage you to choose a start date when you can give the fellowship your full attention. We're happy to plan around teaching, fieldwork, and defence dates to help find that window.
Research conducted during the fellowship is the intellectual property of The Decision Lab. As an applied research firm, we need ownership of the work we lead. At the same time, we're a highly collaborative team and are very open to partnering with your home institution or lab, whether that means involving your supervisor, co-authoring with colleagues, or building on shared research interests. Authorship is based on contribution, so if you lead a project, you'll be credited as first author. We're happy to talk through publication, affiliation, or IP questions in more detail during the interview process.
The fellowship gives you the chance to do cutting-edge research at the intersection of behavioral science and AI, one of the most promising and fast-moving areas in the field. What makes it unique is how quickly that research meets the real world. Within the same 16 weeks, you'll develop new ideas and apply them on a real project with large clients. Few programs bridge research and application this directly. Along the way, you'll also:
- Build expertise in applying AI to behavioral science questions, a skill set that's in growing demand in both academia and industry.
- Gain consulting experience working with large clients across sectors.
- Produce research outputs, including publications, that show both academic rigor and real-world impact.
- Work alongside and learn from senior researchers and consultants at The Decision Lab.
While the fellowship is a fixed-term position, we always enjoy continuing to work with fellows who are a strong mutual fit. Although there's no guarantee of a permanent role, exceptional performance during the fellowship is certainly recognized and may lead to future opportunities.
Ready to make your
research travel further?
We’re looking for late-stage PhD students in psychology, AI, economics, public policy, cognitive science, behavioral science, data science, or a nearby field. You don’t need prior experience with AI, but you should have a strong interest in it and enjoy tinkering with new tools. You don’t need to tick every box. If you’re curious and communicative, we want to hear from you.
Must-haves
- Current late-stage PhD student in a relevant discipline (e.g. psychology, AI, economics, public policy, cognitive science, behavioral science, data science, or a related field)
- Familiarity with behavioral science concepts and methods, such as experimental design, causal inference, behavioral interventions, or decision-making research
- Strong curiosity about AI, with a tinkering mindset that makes you want to try things and see how they work
- Strong analytical and critical thinking skills, including literature reviews, research syntheses, or empirical analysis
- Clear written communication in English, particularly for research summaries and analytical writing
- Ability to work independently on scoped research tasks while collaborating with a research team
- Ability and desire to use AI tools (e.g. Cursor, Claude Code) to accelerate writing, coding, and analysis
Preferred, not required
- Exposure to applied research, policy analysis, or consulting-style work
- Familiarity with AI-related topics (e.g. human-AI interaction, algorithmic decision-making, misinformation, responsible AI); technical expertise isn't required
- Interest in applied, policy-adjacent, or non-academic research careers
Fellows come from diverse academic traditions. You’re not expected to meet every criterion to be a strong fit.
This placement is funded through your university or an external academic programme rather than by TDL, which is why it’s open to PhD students who already hold funding. Please name your funding source in your statement.
We don’t accept candidates who want to work for free. Unfunded placements unfairly favour those who can afford them, and we’d rather run a smaller cohort than a less representative one.
The process
- 1.
Submit your application
Send us your CV or resume, 2-3 samples of your work, and a statement of interest of up to 200 words. In your statement, tell us about your academic focus and current programme, your interest in behavioral science and AI and where they meet in your research, how the fellowship fits your training or career goals, and your source of funding.
- 2.
Complete a short assessment
If your application stands out, we'll invite you to a one-hour writing task, scheduled at a time that suits you.
- 3.
Interview with our team
If you pass the assessment, we'll invite you to an interview. We'll talk through your research, where it could connect with AI, how supervision works, and how your work might be applied.
Applications are now open


