Digital equity
Brazil's digital divide
Research on barriers to telehealth and equal digital health care made the access gap visible at national scale.
MIT Critical Data / Laboratory for Computational Physiology
Fred Trajano Postdoctoral Fellowship
A fellowship for Brazilian postdoctoral researchers working where health data, software, and responsible AI meet.
Applications open
Apply through Google FormSubmit your materials through the official Google Form. The selection team will contact shortlisted candidates.
The fellowship
An opportunity to do careful, useful work with a community that treats data as a public responsibility.
Build the tools and evidence that better health data requires.
The Fred Trajano Postdoctoral Fellowship supports research that makes health data more useful, more open, and more accountable to the people it should serve.
01 / Research
Questions grounded in health and clinical data.
02 / Software
Public code that others can inspect and use.
03 / Responsibility
Methods that make limitations visible.
Who should apply
Bring a question. Bring the code to investigate it.
Academic stage
PhD completed within the last five years, or expected before the start date.
Engineering practice
Software development skills are required. Public code and documentation are part of the review.
Health research
Health or clinical research experience is a plus, but not a requirement.
Submit the materials below through the official Google Form. Letters of recommendation are not requested.
CV as a PDF upload
Links to public GitHub repositories
Answers to six questions, roughly 100 words each
one-minute, unscripted video introduction as a video upload
An honest note describing any use of language models and what you changed
Letters of recommendation are not requested.
CV and video submissions are visible only to the selection team. The form owner maintains the data-use policy and an accessible accommodation route.
The questions
Less performance. More signal.
Keep each answer close to 100 words. Honest disagreement and clear reflection are welcome.
- 01
Read three or four papers from the Laboratory for Computational Physiology. What is missing from that body of work that you would bring? Be specific about the gap and about what in your own background fills it.
- 02
Tell us one thing our group should stop doing, or do differently, for our research to matter more. You can disagree with us.
- 03
Pick one repository from your GitHub and tell us what is broken or badly designed in it, and what you would fix if you rebuilt it today.
- 04
Describe an analysis of yours that produced a result you did not want. What did you do next?
- 05
Name a film, book, or album that changed how you think. Explain why.
- 06
What have you built that another person actually used? Who used it, and what happened?
Selection
A process designed to see the whole person.
01
Written review
The application, public code, questionnaire, and video are reviewed together.
02
Group interaction
Shortlisted candidates may be invited to a recorded group session, with the recording policy explained in advance.
03
Conversation and decision
The fellowship team follows up with the candidates selected for the next cycle.
What this fellowship enables
A fellowship is measured by what becomes possible next.
Chrystinne Fernandes joined MIT-LCP as the inaugural Fred Trajano Fellow. Her work shows how a fellowship can connect Brazilian experience with open, rigorous health-AI research.
Research standards
TRIPOD-LLM
A reporting guideline for studies using large language models in biomedicine, published in Nature Medicine.
Open tooling
Equiflow
An open-source method for making changes in clinical-AI cohort composition visible and auditable.
Brazil / MIT
Methods travel further when people do.
Brazilian research communities and MIT Critical Data share data, methods, software, and questions across borders. The work keeps Latin American perspectives present in global health-AI research.
Every public claim on this page should remain tied to an attributable source and a current program decision.
Resources
Read the work. Follow the thread.
Next step
Make your question legible to a community that can act on it.
Applications open
Apply through Google FormSubmit your materials through the official Google Form. The selection team will contact shortlisted candidates.
Fred Trajano Postdoctoral Fellowship · MIT Critical Data
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