Michigan AI Explorers Program 2027 - PhD Prep Mentorship

Deadline Applications reopen in late 2026, exact date not published 141 days left · Hosted by Michigan Artificial Intelligence Lab, University of Michigan · Published

The Michigan AI Explorers Program exists to solve a specific problem: plenty of capable students want to do an AI PhD and have no idea how to become a competitive applicant for one. Run by the Michigan Artificial Intelligence Lab at the University of Michigan, it is an international research and mentorship programme aimed at pre-doctoral students, and it runs for six to nine months. What makes it worth the time is that it is measured in outputs rather than attendance. You are expected to finish with one research paper ready to submit to a workshop, conference or journal depending on your field, and a complete graduate school application package including a statement of purpose, CV and research statement. The structure that gets you there is consistent rather than intensive: a weekly meeting with your assigned mentor to move the research forward, a monthly cohort meeting where you present progress and take peer feedback, and monthly or bimonthly ACL mentorship sessions covering research skills, career pathways and graduate admissions. Mentors are junior faculty, postdoctoral fellows, senior PhD students and experienced industry researchers, each supervising one or two students and helping with the PhD application at the end. Eligibility is deliberately light: a strong interest in AI, readiness to do real research, and being 18 or older by the start date, with preference for students in the final year of a Bachelor's or MS. The 2026 applications have closed, and the programme says they reopen in late 2026 for the following year.

Mentorship, not funding
No stipend stated
Final-year BSc or MS
Pre-doctoral
Applications reopen
Late 2026
Open beyond the US
International

What is the Michigan AI Explorers Program?

The Michigan AI Explorers Program is aimed at a gap that catches a lot of capable people. You want to do a PhD in AI, your grades are fine, and you have no research output, no mentor who reads doctoral applications, and no idea what a competitive application actually looks like. The Michigan Artificial Intelligence Lab built the programme to close exactly that gap: an international research and mentorship programme for pre-doctoral students, running six to nine months, designed to produce the skills, experience and scholarly profile that top-tier PhD programmes expect to see.

What separates it from a mentoring scheme that fizzles out is that it is defined by two deliverables rather than by hours attended. By the end you are expected to have one research paper ready to submit to a workshop, conference or journal, depending on your field and the scope of your project. And you are expected to have a full graduate school application package: statement of purpose, CV, research statement. Most applicants assemble the second of those alone, late, and badly. Building it beside someone who sits on the other side of admissions is arguably worth more than the paper.

The structure supporting that is deliberately steady rather than intense. A weekly meeting with your assigned mentor to push the research forward. A monthly cohort meeting where you present progress and take feedback from peers doing the same thing. Monthly or bimonthly ACL mentorship sessions covering research skills, career pathways and graduate admissions. Mentors come from junior faculty, postdoctoral fellows, senior PhD students and experienced industry researchers, and each takes only one or two students, which is why matching on a specific research interest matters more than a broad enthusiasm for the field. The programme is organised by Rada Mihalcea, who directs the Michigan AI Lab, alongside Zhijing Jin at the University of Toronto and Angana Borah, a PhD candidate at the Lab.

Two practical things before you plan around it. First, the timing: the 2026 applications are closed, and the Lab states they reopen in late 2026 for the following year, without publishing an exact date. Watch the official page through the autumn, because several third-party listings still present the closed round as live. Second, and more important, the money. The programme page describes no stipend, no salary and no funding, and it carries an invitation to partners and funders to support the programme. So go in understanding this as research training and mentorship rather than an award, and if funding is decisive for you, email [email protected] and ask rather than assuming. Eligibility itself is light: 18 or older by the start date, a genuine interest in AI, readiness to do real research, with preference for final-year Bachelor's and MS students. If you are looking at funded routes into AI research alongside this, the CHAI Research Fellowship guide and the GEM Fellowship Program guide cover two that do pay. Everything official sits on the Michigan AI Explorers Program page.

Who can apply

Eligibility

Your progress 0 / 6
  • A pre-doctoral student aiming at a PhD
    The programme is built for people who want to become competitive applicants for top-tier PhD programmes in AI. If you already hold a doctorate or are mid-PhD, this is aimed elsewhere, and the whole structure assumes an application is still ahead of you.
  • Eighteen or older by the start date
    Stated plainly in the mentee application criteria. Age is measured at the start of the programme rather than at application, which matters for anyone finishing an undergraduate degree young.
  • Preference for final-year Bachelor's or MS students
    The Lab states a preference for candidates in the final year of a Bachelor or MS degree. It reads as a preference rather than a bar, so applicants slightly outside that window are not automatically excluded, but the cohort is built around people about to apply for doctoral study.
  • A strong interest in AI and readiness to do research
    The stated bar is candidates driven by a strong interest in AI and ready to contribute to meaningful research. Since the output expectation is a submission-ready paper in six to nine months, that readiness is assessed rather than assumed.
  • Availability for weekly and monthly commitments
    Weekly meetings with your mentor, monthly cohort meetings where you present progress, and monthly or bimonthly ACL mentorship sessions. Spread across six to nine months, that is a sustained commitment alongside whatever else you are doing.
  • Willingness to produce both outputs
    One submission-ready research paper and a full graduate school application package covering statement of purpose, CV and research statement. Both are expected, and the second is the part participants tend to underestimate.
What you get

Benefits

  • Duration Six to nine months of mentored research
  • Weekly mentor meetings One-to-one with your assigned mentor
  • Monthly cohort meetings Present progress, take peer feedback
  • ACL mentorship sessions Monthly or bimonthly, on research and admissions
  • A research paper One submission-ready workshop, conference or journal paper
  • Application package Statement of purpose, CV and research statement
  • A stipend or salary None stated on the programme page
  • Tuition or travel funding Not part of the programme as published
  • Guaranteed PhD admission Not offered, the programme prepares you to compete
  • Host Michigan Artificial Intelligence Lab, University of Michigan
  • Director Rada Mihalcea, Janice M. Jenkins Collegiate Professor
  • Co-organisers Zhijing Jin, University of Toronto, and Angana Borah, Michigan AI Lab
  • Mentor pool Junior faculty, postdocs, senior PhD students, industry researchers
  • Students per mentor One or two
  • A large cohort Not the model, matching is one mentor to one or two students
What to prepare

Document checklist

Documents gathered 0 / 6
  • The mentee application
    Submitted through the AI Explorers page when applications reopen in late 2026. The 2026 round is closed, so the practical first step is watching the page rather than trying to apply now.
  • Evidence of research interest and readiness
    Whatever demonstrates that you can carry a research project for six to nine months: prior projects, a thesis in progress, code you have written, coursework that went beyond the syllabus. The selection is about capacity to produce a paper, not credentials.
  • Your academic record
    Expect to show where you are in your degree, since the preference sits with final-year Bachelor's and MS students. Being explicit about your expected graduation date helps place you in the right cohort.
  • A clear research direction
    Mentors are matched to students and each takes only one or two, so a specific area of AI interest makes matching possible. Vague enthusiasm for the field gives the organisers nothing to match against.
  • Contact with the programme
    Questions go to [email protected]. The address is also the route for partnership and fundraising enquiries, so it is monitored rather than decorative.
  • A mentor form, if you are applying to teach rather than learn
    Mentors apply through a separate Google form linked from the programme page. Junior faculty, postdoctoral fellows, senior PhD students and experienced industry researchers are all in scope, and the Lab says it is always looking for more.
Step by step

How to apply

The programme page says so twice. Applications reopen in late 2026 for the following year, so anything you find elsewhere claiming an open 2026 application is out of date.
You need to be 18 or older by the start date, and preference goes to students in the final year of a Bachelor or MS degree. If you graduate in 2027, the reopening round is the one aimed at you.
Mentors take one or two students each, so matching runs on subject fit. Narrow your interest to something a working researcher would recognise as a project rather than a field, and be able to say why it interests you.
The output expectation is one submission-ready paper in six to nine months. Anything showing you can sustain a project counts: a thesis, a replication, an open source contribution, a course project you took further than required.
No exact reopening date is published, only late 2026. Check the AI Explorers page directly rather than relying on listings, and email [email protected] if you want to ask when the form goes live.
Weekly mentor meetings, monthly cohort presentations and monthly or bimonthly ACL sessions across six to nine months. Map that against your final year, your thesis and your own PhD application season before you apply.
The paper gets the attention, but the graduate school application package, the statement of purpose, CV and research statement, is what most applicants get wrong on their own. Having it built with a mentor who reads doctoral applications is arguably the bigger prize.
If you are a junior faculty member, postdoc, senior PhD student or industry researcher, the Lab is open about always looking for mentors. That route runs through a separate form and involves helping select mentees as well as supervising them.
When

Deadline and timeline

Application deadline
Applications reopen in late 2026, exact date not published
141 days left
Now to autumn 2026
The 2026 cohort is closed. Sharpen a research direction and gather evidence that you can carry a project.
Late 2026
Applications reopen for the following year. No exact date is published, so watch the programme page.
Early 2027
Mentors help select mentees and matching takes place, one or two students to each mentor.
Across six to nine months
Weekly mentor meetings, monthly cohort presentations, and monthly or bimonthly ACL mentorship sessions.
By the end of the programme
One submission-ready research paper, plus a statement of purpose, CV and research statement.
The following admissions cycle
You apply to doctoral programmes with a paper and an application package built alongside a mentor.
Questions

FAQ

What is the Michigan AI Explorers Program?

An international research and mentorship programme run by the Michigan Artificial Intelligence Lab at the University of Michigan, aimed at pre-doctoral students who want to become competitive applicants for top PhD programmes in AI. It runs six to nine months and pairs each participant with a mentor for sustained research, alongside structured preparation for graduate school applications. The organisers are Rada Mihalcea, who directs the Michigan AI Lab, with Zhijing Jin of the University of Toronto and Angana Borah, a PhD candidate at the Lab.

Is the Michigan AI Explorers Program paid?

The programme page states no stipend, salary or funding of any kind, and it also carries a partnership and fundraising invitation, which suggests the programme is seeking support rather than distributing it. Treat it as mentorship and research training rather than an award. If money matters to your decision, email [email protected] and ask directly before applying, because the published information simply does not address it.

Who can apply for the AI Explorers Program?

Candidates with a strong interest in AI who are ready to contribute to meaningful research, and who will be 18 or older by the start date. Preference goes to students in the final year of a Bachelor or MS degree. Since the whole design is about building a competitive PhD application, the fit is people with a doctorate still ahead of them rather than behind.

When do AI Explorers Program applications open for 2027?

Late 2026, according to the programme page, which states that the 2026 applications are closed and will reopen in late 2026 for the following year. No exact date is published. Watch the official page from the autumn rather than trusting third-party listings, several of which still describe the closed 2026 round as though it were open.

How long is the AI Explorers Program?

Six to nine months of sustained mentored research, run alongside targeted preparation for graduate school applications. The rhythm is weekly meetings with your assigned mentor, monthly cohort meetings where you present research progress to peers, and monthly or bimonthly ACL mentorship sessions on research skills, career pathways and graduate admissions.

What do AI Explorers participants produce?

Two things, both expected rather than optional. One research paper suitable for submission to a workshop, conference or journal, depending on the field and the scope of the project. And a graduate school application package containing a statement of purpose, a CV and a research statement. The combination is the point: a paper gives you something to show, and the package turns it into an application.

Can international students join the AI Explorers Program?

The Lab describes it as an international and global research and mentorship programme, and the published eligibility criteria say nothing about nationality or visa status. What the page does not spell out is whether participation is remote, in Ann Arbor, or a mix, so anyone outside the US should email [email protected] to confirm how the weekly and monthly meetings actually run before applying.

How do you become an AI Explorers mentor?

Through a separate form linked from the programme page. Mentors are junior faculty, postdoctoral fellows, senior PhD students and experienced industry researchers, and each takes one or two students. The role covers helping select mentees, meeting weekly, giving timely feedback, and supporting the mentee through the PhD application process. The Lab says it is always looking for new mentors.

Does the AI Explorers Program guarantee PhD admission?

No, and it does not claim to. The stated aim is helping talented pre-doctoral students develop the skills, experience and scholarly profile required to gain admission to top-tier PhD programmes, which is preparation rather than a pathway. What you get is a paper, an application package and a mentor who knows how doctoral admissions read, then you compete on the same terms as everyone else.

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