University of Michigan SEAS Postdoctoral Research Associate 2026: Applications Closed

University of Michigan SEAS Postdoctoral Research Associate 2026: Applications Closed

The University of Michigan School for Environment and Sustainability (SEAS) invited applications for a Postdoctoral Research Associate working with Dr. Nina Brooks. The official U-M Careers posting closed on February 28, 2026, and the university’s current pages do not announce a replacement round for this role. This page is therefore a historical reference to the verified 2026 appointment, not an invitation to submit a late application.

The appointment was a one-year, full-time, term-limited position based at the Ann Arbor campus, with the possibility of renewal. The posting described a hybrid mode of work, subject to the hiring department’s work agreement. The published salary was $75,000, and the position included the University of Michigan’s employee benefits package. The role was employment rather than a scholarship or standalone research grant.

The research sat at the intersection of environment, development, and health economics and policy. The successful researcher was expected to pursue related interests while contributing to projects that integrate survey, field-based, and administrative data with high-resolution climate and air-pollution datasets. The posting gave particular attention to informal brick manufacturing and other informal industries, with possible opportunities for South Asia field research depending on the candidate’s interests.

The methods requirements were substantial. The posting called for causal-inference expertise and other data-science methods such as machine learning, along with experience using large-scale environmental and remotely sensed datasets. Strong proficiency in R, familiarity with version-control tools such as GitHub, and familiarity with high-performance computing were required. The work was designed for an applied quantitative researcher who could connect environmental exposure measurement to credible economic and health analysis.

The 2026 round should not be confused with a live opportunity. The archived deadline remains in the metadata because it is the official closing date, while historicalReference = true signals that the date belongs to a completed cycle. Applicants looking for a future position should monitor the University of Michigan Careers site and SEAS announcements rather than assume that this appointment will recur on the same schedule.

At a Glance

What the Closed Postdoc Offered

This was a research appointment with two connected expectations: contribute reliably to Dr. Brooks’s projects and develop related research interests. The official summary did not present the role as a narrow data-processing job. It combined environmental and health questions with development economics and policy, leaving room for an associate to bring a coherent agenda while working within an interdisciplinary research program.

A mixed-data research program

The position involved connecting surveys, field-based data, administrative records, and environmental measurements such as remotely sensed temperature and air pollution. That combination matters because the research questions concern exposures and outcomes that are distributed across people, places, firms, and time. A researcher in the role would need to think carefully about geographic matching, timing, missingness, measurement error, and the difference between an observed association and a defensible causal estimate.

The focus on high-resolution climate and air-pollution data also connected the research to real policy questions. Environmental exposure can affect health, productivity, labor conditions, and household decisions, but those effects are difficult to measure cleanly. The posting’s combination of exposure data, survey or administrative outcomes, and causal analysis points to work intended to distinguish mechanisms and estimate effects rather than merely describe environmental risk.

Causal inference and experiments

The responsibilities included econometric analyses to estimate causal effects of environmental and climate exposures and assistance with the design and analysis of randomized controlled experiments. That combination creates a demanding methodological profile. An applicant needed to understand identification assumptions, treatment assignment, outcome measurement, robustness checks, and communication of uncertainty. Machine learning and data science could support the work, but the official requirements made clear that computational skill was not a substitute for causal reasoning.

The role also included leading manuscript preparation and helping disseminate findings. That responsibility matters for a postdoc because the output was expected to become publishable research, not just an internal analysis. A strong candidate would need to move from raw data and research design through analysis, writing, revision, and explanation to interdisciplinary audiences.

Independence within collaboration

The posting explicitly allowed the associate to pursue related research interests while contributing to ongoing projects. That balance would suit a researcher with a defined question in environmental economics, development, health, policy evaluation, or a neighboring quantitative field who also wanted close collaboration. The work required collaboration with interdisciplinary and international team members, so independence meant owning a research contribution, not working in isolation.

Employment terms and benefits

The official posting listed a fixed salary of $75,000 and described the appointment as one year, full-time, and term limited, with the possibility of renewal. It also listed hybrid work at the Ann Arbor campus. University of Michigan benefits described in the posting included generous time off, a retirement plan with two-for-one matching contributions and immediate vesting, comprehensive health-insurance choices, life insurance, long-term disability coverage, and flexible spending accounts for health care and dependent care.

Those benefits describe the completed employment posting, not a guarantee that a future SEAS position will use the same salary or benefits. A later recruitment round could have different terms and should be checked against its own official U-M listing.

Who Was Eligible for the Closed Cycle

The closed postdoc was aimed at an applied empirical researcher who wanted to study environmental exposures in lower-resource settings and informal industry contexts. It was not an open-ended scholarship: it was a U-M employment appointment with a defined research and technical profile.

The posting required a PhD in Economics, Public Policy, Data Science, or a closely related quantitative social science either before appointment or within four months of the start date. Candidates who were finishing a doctorate could therefore be considered if their completion plan met that condition. The posting also required legal authorization to work in the United States and stated that visa sponsorship was not available.

You should feel genuinely comfortable with causal inference. Not “I took a metrics sequence once.” More like: you can explain the assumptions behind difference-in-differences, instrumental variables, matching, synthetic controls, or panel strategies without looking like you’re reading from a teleprompter. If you’ve done serious work in RCT design/analysis, even better.

On the computational side, they’re clearly not looking for someone who fears the command line. They want strong proficiency in R, comfort with version control (Git/GitHub), and familiarity with high-performance computing (HPC). Think of this as a role for someone who can keep their analysis reproducible and scalable—because the datasets can get big fast.

Finally, the topic area matters. The emphasis on informal brick manufacturing and informal industries suggests exposure, labor conditions, and health outcomes in complex settings. If you’ve worked on development contexts, labor econ in informal sectors, environmental health, climate impacts, or policy evaluation tied to exposure reduction, your experience will translate well.

The official requirements did not list citizenship as a qualification, but they did make U.S. work authorization a condition and ruled out visa sponsorship. The role would have been a poor fit for someone whose background did not include quantitative research, environmental or remotely sensed data, causal inference, R, version control, and HPC-related work. Those are requirements recorded for the completed posting, not assumptions about a future U-M recruitment.

What You Will Likely Work On (Based on the Posting, Plain English Edition)

The responsibilities listed are direct, and they paint a clear picture of the day-to-day:

You’ll integrate human data (survey/admin) with environmental exposure data (temperature, air pollution) from remote sensing or monitoring. That means doing careful spatial joins, time alignment, and exposure assignment—work that is both technically finicky and scientifically important.

You’ll run econometric models aimed at causal interpretation. This is where you’ll need to think hard about confounding, selection, measurement error, and policy endogeneity. In other words: you’re not just estimating relationships; you’re trying to identify effects.

You’ll support the design and analysis of randomized controlled experiments, which could include everything from power calculations and randomization protocols to pre-analysis plans and treatment effect estimation.

And you’ll write. A lot. The role expects you to lead manuscript preparation and help disseminate findings. In practice, that means you should enjoy turning results into clean tables, sharp figures, and arguments that make reviewers stop sharpening their knives.

Insider Tips for a Winning Application (The Stuff People Learn the Hard Way)

This is a tough postdoc to get, but absolutely worth serious effort. Here’s how to move from “qualified” to “obvious hire.”

1) Treat the cover letter like a research memo, not a biography

They explicitly require a cover letter and want it attached as the first page of your CV. Follow that instruction exactly. Then write the letter as if you’re answering one question: Why you, for this work, right now?

A strong structure is simple:

• Your research identity in one paragraph (topics + methods).
• Your fit for their agenda (environment-development-health-policy intersection; informal industry; exposure data).
• Your technical toolkit (R, Git, HPC, remote sensing integration) with proof points.
• What you’d pursue independently during the postdoc (1–2 concrete project ideas that align).

2) Name your causal inference strengths with receipts

Don’t just say “experienced in causal inference.” Give examples:

• “I implemented staggered-adoption DiD with event studies and sensitivity checks.”
• “I used IV with a clear first stage and defended exclusion restrictions in writing.”
• “I pre-registered an RCT analysis plan and handled attrition and multiple hypothesis testing.”

Make it easy for them to imagine you producing credible results quickly.

3) Show you can handle environmental exposure data without panicking

If you’ve worked with remotely sensed PM2.5, NO₂, aerosol optical depth, land surface temperature, reanalysis products, or satellite-derived measures, say so. If not, show adjacent competence: geospatial work, raster operations, exposure assignment workflows, validation, or measurement error handling.

This posting screams: “We have rich data; we need someone who won’t break it.”

4) Your writing sample should match the job you want, not the job you had

Pick a sample that demonstrates:

• Clear identification strategy
• Strong data work (even if you can’t share the raw data)
• Policy relevance
• Clean, readable writing

A dense methods appendix with no narrative won’t help you. Neither will a purely descriptive paper if the role is causal-heavy.

5) Use your references strategically (and brief them like adults)

They ask for contact info for at least three references. Choose people who can speak to different strengths:

• Causal inference and econometrics credibility
• Data/scaling/reproducibility competence
• Collaboration and project leadership

Then send them the posting, your cover letter draft, and a short paragraph on the projects you expect to do in the role. References write better letters when you give them ammunition.

6) Demonstrate you can collaborate across disciplines and borders

The posting highlights interdisciplinary and international teamwork, plus possible South Asia fieldwork. If you’ve collaborated with public health, environmental science, or policy teams—or worked with partners outside your home institution—spell it out. Mention how you handled communication, data sharing, and timelines.

7) Signal maturity about messy realities

Research on informal industries can involve irregular records, missing data, measurement challenges, and field constraints. Without being dramatic, show you’re realistic: you anticipate problems, you plan robustness checks, and you don’t crumble when Plan A collapses.

Application Timeline for the Archived Round

The official posting recorded an application window ending on February 28, 2026 and said that review would begin on January 30, 2026. Both points belong to the completed recruitment. There is no current submission window on the verified job page, and the page does not announce a later deadline. A reader should not treat the archived dates as permission to send materials now or as a schedule for a future role.

For the completed round, a prospective applicant needed to prepare the required materials before the closing date, combine the cover letter with the CV in the requested order, and submit through the U-M Careers application route. The official page did not describe a late-submission process. Future SEAS opportunities may use different documents, dates, or application links, so those details must be rechecked when a new official posting appears.

Required Materials in the Closed Cycle

The official U-M posting specified a short list of required materials. These requirements describe the closed cycle and should not be copied into a future application unless a new posting repeats them.

• Cover letter (required): The letter had to be attached as the first page of the CV and explain the applicant’s specific interest, skills, and experience relevant to the position.
• Curriculum Vitae (CV): The CV was the document paired with the cover letter. For this research profile, it should have made empirical work, datasets, methods, software, and publications or working papers easy to find.
• Writing sample: The posting required a writing sample. A sample showing clear causal reasoning, environmental or social-science data work, and readable research communication would have matched the stated duties.
• Contact information for at least three references: The application had to include contact information for at least three references. The official page did not require letters to be uploaded at the initial step, so applicants should not infer that additional letters were mandatory for this archived round.

What Makes an Application Stand Out (What Reviewers Are Really Scoring)

For a role like this, the “scorecard” is pretty predictable.

First, methodological credibility. They need someone who can run causal analyses that won’t collapse under basic robustness questions. Show that you think like an applied econometrician, not just a software operator.

Second, data competence at scale. Integrating administrative/survey data with remote sensing is not a weekend hobby. Evidence that you can build reproducible pipelines, manage large data, and use version control will put you ahead.

Third, topic alignment with real curiosity. The best candidates won’t just say “I care about climate and health.” They’ll show a sustained interest in how environmental exposures translate into economic and health outcomes, especially in informal or understudied settings.

Fourth, writing and dissemination ability. A postdoc who can’t publish is like a chef who can’t taste. Your writing sample is doing a lot of work here.

Common Mistakes to Avoid (And How to Fix Them)

Mistake 1: Writing a cover letter that could fit 50 other postdocs

Fix: Mention the specific intersection the job emphasizes—environment, development, and health economics/policy—and connect it to your actual work, not your aspirations.

Mistake 2: Being vague about skills like R, Git, or HPC

Fix: Include one or two concrete examples. “Built an R pipeline for raster-based exposure assignment and managed reproducibility with GitHub” beats “proficient in R.”

Mistake 3: Submitting a writing sample that hides your identification strategy

Fix: Pick something where the causal logic is upfront, readable, and defensible. If the identification is buried, reviewers may assume it’s weak.

Mistake 4: Overpromising independence without showing you can collaborate

Fix: Balance “I have my own agenda” with “I work well on teams.” Cite coauthored work, interdisciplinary projects, or collaborative data builds.

Mistake 5: Ignoring the informal industry emphasis

Fix: Even if you haven’t studied brick manufacturing, show you understand informal sector dynamics and measurement challenges. Demonstrate you’re not romantically naïve about data constraints.

Frequently Asked Questions

1) Is this a fellowship or a job?

It was a postdoctoral research associate position, meaning a paid academic appointment rather than a traditional “apply-for-money” grant. The closed cycle used the University of Michigan Careers portal.

2) Do I need the PhD in hand by the deadline?

The posting indicates you must have the PhD before appointment or within four months of the start date. You can apply while finishing, as long as your completion timeline is realistic.

3) What disciplines are eligible?

They’re looking for quantitative social science training—explicitly Economics, Public Policy, Data Science, or a closely related field. If your PhD is in a neighboring discipline but your methods match (causal inference, applied metrics), you can still be competitive.

4) What technical skills are non-negotiable?

Expect R, Git/GitHub, experience with large-scale environmental/remotely sensed data, and some familiarity with HPC to be core expectations, not “nice-to-haves.”

5) Was fieldwork required?

Not according to the posting. It described opportunities for field research in South Asia depending on the candidate’s interests. The core responsibilities were data integration, causal analysis, randomized-experiment support, manuscript preparation, and collaboration.

6) What should I write about in the cover letter?

Write about (a) why this specific research area fits your trajectory, (b) what you bring methodologically, (c) your experience with relevant data, and (d) what you’d work on during the postdoc—ideally in a way that complements ongoing projects.

7) Can I submit more than one writing sample?

The posting asks for “a writing sample” (singular). Unless the portal allows multiple uploads and instructions explicitly permit it, stick to one strong sample and make it count.

8) How “policy” does this role get?

The work lives at the intersection of economics and policy, so the best applications will show you can connect empirical results to real decisions—regulation, enforcement, exposure reduction, labor protections—without turning your discussion section into a soapbox.

How Applicants Applied in the Closed Cycle

The official instructions required applicants to prepare a cover letter and CV with the cover letter as page one. The letter had to address the applicant’s specific interest and explain the skills and experience that related directly to the position. The application also required a writing sample and contact information for at least three references.

The strongest materials for this role would have connected the applicant’s research record to the stated work: causal inference, environmental exposure data, development or health policy, and reproducible quantitative analysis. A CV should have made R, GitHub or comparable version-control experience, remote-sensing work, and HPC familiarity visible where applicable. A writing sample should have demonstrated the ability to explain research design and findings clearly.

Applicants also needed to line up at least three references and provide accurate contact information. Because the page did not announce a current round or late-submission procedure, readers should not send these materials for the archived opening. They should wait for a new official U-M Careers posting and follow its instructions if the role is recruited again.

The archived official posting remains available here: University of Michigan Postdoctoral Research Associate. Its direct application page may remain reachable even though the recruitment itself is closed; a reachable URL is not evidence that new applications are accepted.