Academic CV: Format, Sections, and a Complete Worked Example

What an Academic CV Is and Who Needs One

An academic CV (curriculum vitae) is the comprehensive professional record used to apply for graduate school, postdoctoral positions, faculty positions, research fellowships, grants, tenure review, and academic honors. It is exhaustive by design: every publication, every grant, every conference presentation, every course taught, and every committee served on belongs in it. Unlike an industry resume that compresses a career into one or two pages tailored to a specific job, an academic CV grows over a career and is rarely cut.

Five distinct audiences use academic CVs:

• Graduate school applicants use a 2 to 3 page version emphasizing research experience and undergraduate honors.
• PhD students applying for postdocs need a 3 to 5 page version with publications, conference presentations, and teaching assistantships.
• Postdocs applying for tenure-track positions submit a 5 to 8 page version that demonstrates publication trajectory, grant activity, and teaching capacity.
• Tenure-track and tenured faculty maintain an 8 to 20 page CV used for tenure and promotion review, sabbatical applications, and outside offers.
• Researchers in industry, government labs, and policy sometimes maintain a separate academic CV alongside an industry resume to apply for advisory boards, journal editorial roles, and visiting appointments.

The academic CV is distinct from the broader category of CV used in some countries as a synonym for resume. For the broader comparison and country-by-country usage, see our guide on resume vs CV.

Research CV: How It Differs From an Academic CV

"Research CV" and "academic CV" get used as synonyms, and for a tenure-track application they usually do describe the same document. They stop describing the same document the moment the reader changes. A faculty search committee is deciding whether you can build a research programme, teach, and eventually be tenured. A principal investigator staffing a funded project, a national laboratory hiring a staff scientist, or a grant review panel scoring an applicant is deciding something much narrower: what can this person produce at the bench or on the cluster, with whose money, and starting how soon.

The research CV answers that narrower question. It draws on the same section vocabulary as the academic CV. What changes is the order, the proportion, and two sections that a general academic CV frequently omits entirely: a named techniques and instrumentation inventory, and an explicit collaborations record. Those two omissions are the single most common reason a strong academic CV reads as thin when it is submitted for a research post.

The Six Sections That Actually Carry a Research CV

If you are converting an academic CV into a research CV, these are the six blocks that do the work. Everything else is supporting material.

1. A research statement at the top, not a research interests line. Four keywords tell a reviewer nothing. A short paragraph tells them whether to keep reading. Write 150 to 250 words covering the problem you work on, the approach you take to it, the systems or datasets you work in, and what you want to do next. Put it directly under the contact block, above education.
2. Publications organised by contribution, not only by type. The standard academic subheadings (peer-reviewed articles, book chapters, conference proceedings, under review, in preparation) stay. Add a short line under each entry, or a bracketed role tag, saying what you did: designed the study, built the analysis pipeline, ran the crystallography, wrote the software. Author position is a poor proxy for contribution across fields, and reviewers reading outside their subfield cannot decode it.
3. Funding history with role and status, not just awards won. List agency, award number, title, your role, amount, and dates, and keep the status column honest. Whether to list a submitted-but-unfunded application that scored well is a judgement call rather than a rule: it is common on US biomedical CVs and reads as unusual elsewhere. If you list one, label it clearly as submitted and scored, never as awarded.
4. Techniques, methods and instrumentation, named specifically. This is the section most often missing and the one a hiring PI scans first. "Molecular biology techniques" is not a claim; it is a placeholder. Write it as an inventory with depth attached, for example: "Cryo-EM sample preparation and data collection (Titan Krios, 4 years, independent operator); single-particle reconstruction in RELION and cryoSPARC; X-ray crystallography from crystallisation through refinement in Phenix; Python and R analysis pipelines; Slurm cluster workflows."
5. Collaborations and co-investigator network. A short section of four to eight entries naming the collaborator, institution, the substance of the work, and whether it is active. Research groups hire partly for the network that arrives with the candidate. Co-authorship alone does not communicate whether you can pick up the phone to that person.
6. Lab affiliations and research infrastructure. Which group, centre, core facility, consortium, beamline, cohort, or shared instrument you have worked in or had access to. For anyone whose work depends on scarce infrastructure, this is a credential in its own right, and it is invisible if you only list your department.

CV for Research Positions Outside the Tenure Track

Most research jobs are not faculty jobs, and each setting reads a CV for a different signal. A CV for research work should be re-weighted to whichever of these the post belongs to.

• National laboratories and government research institutes. Foreground infrastructure experience, safety and compliance training, security or citizenship requirements where the posting names them, and multi-year programme work rather than single-project output. Length runs closer to a full academic CV than to a resume.
• Independent research institutes and foundations. Funding portability dominates. Lead with the grant history and the research statement, and state explicitly which awards can transfer.
• Industry research and development. This is the one case where the CV should shrink toward a resume. Two pages, tools and platforms named, project outcomes quantified, publications trimmed to a selected list. See the conversion section further down this page.
• Core facilities and research infrastructure roles. The instrumentation inventory becomes the centre of the document, with service volume, user training, and method development given more space than publications.
• Research software engineering and data roles. Repositories, releases, documentation, and downstream users belong on the CV as first-class outputs alongside papers. A widely used package is a stronger signal than a middling paper.
• Clinical and translational research. Protocol roles, regulatory experience, trial phases, enrollment numbers, and IRB or ethics-board work matter more than venue prestige.

If your research CV is for a specific stage rather than a specific setting, we cover those separately and in more depth: the postdoc CV for fellowship and postdoctoral applications, the PhD CV for discipline-by-discipline examples, and the professor CV for faculty and promotion files.

One rule holds across all six: never maintain the short version as the source of record. Keep the full academic CV current and generate every shorter research CV from it, so that nothing drops out permanently.

The 2026 Academic Job Market: Why CV Quality Matters Now

Academic hiring in 2026 is bifurcated and brutal. STEM faculty positions grew 15 percent in the 2024 to 2025 cycle while humanities positions declined 5 percent (Editverse academic job market review, 2024). Top computer science departments at the University of Chicago, Princeton, and several Ivy peers instituted mid-cycle hiring freezes during the 2024 to 2025 academic year, citing both administrative restructuring and federal research funding uncertainty (University of Chicago CS Department reporting, 2025).

Even within healthy departments, the supply-to-demand ratio is extreme. Only 11 percent of computational science PhDs reach tenure-track faculty (PMC, 2022 to 2023). For engineering doctorates the figure is 12.5 percent (Undark, 2014 to 2021). The Editverse 2024 review puts the broader US ceiling at 20 to 25 percent of all PhDs ultimately securing tenure-track positions. Median weekly earnings for PhDs are $2,083 (Bureau of Labor Statistics, 2025), the highest of any education level, but those wages disproportionately accrue to PhDs working outside academia.

What this means for your CV: a single tenure-track opening can attract 200 to 500 applications. The committee shortlist meeting may be a single afternoon. The first read of any CV averages 30 to 60 seconds, eyes pulled to Education, the most recent appointment, and the publications count. A CV that buries a top-tier publication on page 4 or omits funding portability data is a CV that does not survive the first cut.

Academic CV vs Industry Resume vs Federal Resume

Three long-form professional documents share the "comprehensive record" label but serve completely different audiences. Confusing them is one of the most common reasons strong candidates get filtered out of the wrong pool.

For deeper coverage of the federal resume format and the September 2025 OPM rule changes, see our federal resume template guide. For an at-a-glance comparison of resume vs CV with country-by-country guidance, see resume vs CV. For the cross-country variations (UK, Germany, Japan, Australia), see understanding international resumes.

The 13 Standard Sections (in Order)

The canonical academic CV uses 13 sections in reverse-chronological order within each section. Resumelab and Wordvice (2026 guides) converge on this structure, and the University of Pennsylvania Career Services academic CV guide maps to the same outline with one important variant noted below.

1. Contact information. Name, institutional address, institutional email, ORCID iD, professional website, optional Google Scholar link. Personal phone optional.
2. Research interests or research statement. Two to four lines, plain text, current research areas. Some applicants substitute a one-paragraph "Research Statement" for the more compressed "Research Interests" line.
3. Education. PhD first, then MS or MA, then BS or BA. Include institution, department, degree, dates, advisor, and dissertation or thesis title.
4. Professional appointments or academic positions. Postdoctoral fellowships, lectureships, assistantships, visiting positions, current faculty appointment.
5. Publications. The most-scrutinized section. Sub-divided by type (peer-reviewed journal articles, book chapters, conference proceedings, manuscripts under review, manuscripts in preparation). Bold your name in author lists.
6. Awards and honors. Best-paper awards, dissertation prizes, named lectures, fellowships received.
7. Grants and fellowships. Granting agency, grant number, dollar amount, your role (PI, Co-PI, Co-I, postdoc fellow), date range. External grants signal independence and are weighed heavily.
8. Invited talks and conference presentations. Sub-divided into invited talks, conference talks, and posters. Include venue, date, and session if applicable.
9. Teaching experience. Courses taught, course numbers, institution, dates, format (lecture, seminar, lab), and enrollment. Include teaching evaluations if competitive.
10. Research experience. Separate from professional appointments for grad students and postdocs to highlight specific projects, lab affiliations, and methods.
11. Service. Departmental service (committee memberships), university service, professional service (journal reviewing, conference program committees, study sections, society offices).
12. Languages and technical skills. Reading and speaking proficiency in non-native languages, programming languages, software, lab techniques, computational platforms.
13. References. 3 to 5 academic referees with title, institution, email, and phone. Always contact references before listing them.

Length Conventions by Career Stage

Length expectations grow with career stage. A 2-page CV signals "early-career" and is appropriate for graduate school applicants. A 15-page CV signals "established" and is appropriate for senior faculty applying for endowed chairs or full professorship. Submitting a 12-page CV for a PhD program application is a category error that suggests poor judgment about norms.

Headers should appear on every page. Include surname and page number in the top right corner of each page (Wordvice, MIT CAPD). PDF readers reflow content imperfectly across pages; the header makes a printed CV unambiguously yours and signals to the committee that you understand academic norms.

Publications Section: How to Format and Order

Publications are the section a search committee reads first and longest. Format matters enough that incorrect citation style, ambiguous author position, or missing DOIs can be read as careless or, worse, as someone outside the discipline.

Sub-divide the publications section into clearly labelled categories in this order:

1. Peer-reviewed journal articles
2. Book chapters and edited volumes
3. Peer-reviewed conference proceedings (CS, engineering, some social sciences)
4. Manuscripts under review
5. Manuscripts in preparation (use sparingly; committees discount these)
6. Invited talks and keynote presentations
7. Other (book reviews, opinion pieces, popular press, blog posts)

Within each category, list in reverse chronological order. Bold your name in the author list. Include the DOI for every published item. Use the "[corresponding author]" tag where applicable. Use the citation style your discipline expects:

On the question of including h-index or citation counts: include them only if they are competitive for your career stage. A useful rule of thumb is h-index above 5 in early career, above 10 by tenure-track entry, and above 20 by tenure review. If your h-index lags peers in your field, omit it; it will be calculated by the committee anyway. The Web of Science, Scopus, and Google Scholar each report slightly different numbers; cite the source you use ("Google Scholar, accessed April 2026").

Grants, Fellowships, and Funding Portability

Funding portability is one of the criteria search committees use to predict a candidate's success on the tenure clock. A postdoc who has independently won an external grant signals two things: the candidate has produced fundable ideas, and the candidate can write to NIH, NSF, ERC, or foundation reviewers. An applicant with no external funding is not disqualified, but is asked harder questions during the interview about a grant pipeline.

Format every grant entry with these data fields:

• Granting agency (full name; abbreviation in parens on first use)
• Grant or award number
• Grant title (full title in italics)
• Total dollar amount (USD or local currency)
• Your role (PI, Co-PI, Co-Investigator, postdoctoral fellow, key personnel)
• Date range (start to end)
• Status (current, completed, declined-but-awarded)

External grants from major federal agencies (NIH, NSF, DOE, NASA, USDA, NEH) and from internationally recognized foundations (Wellcome Trust, Howard Hughes Medical Institute, Sloan, Packard, Templeton, Simons) carry the most signaling weight. ERC grants in Europe are the equivalent prestige tier. Internal university grants, departmental seed grants, and professional society small grants belong on the CV but in a clearly separated subsection so they do not inflate the total funding figure.

Calculate a total funding figure if it is meaningful (over $100,000 cumulative external for early career, over $1M for senior faculty). Some candidates report the total below the section header; others let the reader add it up. Both are acceptable.

Worked Example: Dr. Jordan Miller, Computational Biology (5-Page Sample)

The following is a complete fictional academic CV for a computational biology postdoc applying for tenure-track assistant professor positions. The sample illustrates publications sub-sectioning, grant formatting, teaching record presentation, and service. Use it as a structural reference; do not copy specific titles or grants.

Sample CV is fictional. Jordan Miller, the publications cited, the grants, and the references are constructed for illustrative purposes.

Worked Example: A Research CV for a Staff Scientist Post

The sample above is an academic CV aimed at a faculty search. This second sample is the same career stage re-weighted as a research CV, for a fictional materials chemist applying to a staff scientist post at a national laboratory. Compare the two: the research statement moved to the top, techniques and instrumentation became a full section on page one, collaborations became explicit, and teaching shrank to two lines. For samples organised by discipline rather than by setting, see our PhD CV examples. Use it as a structural reference and write your own content.

PhD-to-Industry: Converting Your Academic CV to a Resume

Most PhDs do not stay in academia. NACE 2026 reports that 65 percent of employers have adopted skills-based hiring practices for entry-level hires, which means a PhD's research projects and technical methods translate to industry better than a decade ago. The conversion is not a matter of compressing the CV. It is a different document with a different audience.

The MIT Career Advising and Professional Development office (CAPD) recommends a 1 to 2 page hybrid format for PhDs entering industry: a tight summary, named tools and platforms, quantified project outcomes, and a publications section trimmed to the top 3 (or omitted entirely for non-research roles). Use the conversion table below as a starting point.

A common mistake: the PhD bullets in industry resumes read like dissertation abstracts. Compare:

• Academic CV bullet: "Developed novel SE(3)-equivariant attention models for prediction of small-molecule ligand binding affinities across the human proteome (Cell, 2025)."
• Industry resume bullet: "Built equivariant transformer model that reduced compound screening time 60 percent and identified 4 hit compounds for downstream validation (PyTorch, JAX, AWS)."

Same project, different framing. The industry version names tools, quantifies impact, and ends in business value. For a deeper PhD-to-industry conversion playbook with before-and-after resume examples, see our career change resume guide.

International Academic Markets: NSF, NIH, ERC, Marie Curie, Wellcome

Major federal agencies and international foundations each prescribe a CV format for grant applications. Submitting a free-form CV when an agency expects its template is a common rejection trigger. The full academic CV is still maintained for job applications, but funder applications need the prescribed short-form CV in addition. The specifics below were re-checked against each funder's published guidance in August 2026; these formats are revised regularly, so confirm against the live call document before you submit.

Two recurring patterns are worth noting. First, NSF and NIH both standardized on SciENcv (Science Experts Network Curriculum Vitae), the NIH-developed system that auto-generates compliant biosketches from a researcher's ORCID and ERA Commons profiles. SciENcv use is mandatory for NSF biographical sketches, and a document not generated by it is not a compliant submission. Second, ERC and MSCA emphasize "mobility" (research conducted in countries other than the applicant's home) more than US agencies do; the CV section should explicitly call out international research stays.

For Wellcome and other UK foundations, the application portal often presents a structured form rather than a PDF upload. The CV gets typed into prescribed fields with character limits per field. Drafting the CV in the funder's structure first (then maintaining a separate full academic CV) is the workflow most experienced PIs use.

When the Portal Demands a Prescribed Structured Format

A recurring instruction on funder and institutional portals reads roughly: upload your curriculum vitae in the prescribed structured format. It is not a style note. It means the portal will not accept the CV you already have, and that a free-form PDF is either rejected on submission or disregarded at review. Structured-format requirements come in three shapes, and they fail in different ways.

1. Generator-produced certified documents. The funder names a system that produces the file, and no blank template exists. SciENcv is the US example: you populate a profile, and the system emits the compliant PDF. You cannot hand-build an equivalent that passes.
2. Supplied template files with fixed headings. The call pack contains a document with prescribed headings and page limits. Renaming a heading, adding a section, or overflowing the page count are all grounds for the extra material being disregarded without comment.
3. Web forms with per-field character limits. The CV is typed into boxes rather than uploaded. This is the shape that most often catches people out, because a well-designed CV paragraph does not survive a 600-character box, and there is no formatting to fall back on.

Five Ways a Structured CV Upload Goes Wrong

• Pasting formatted text into character-limited fields. Bold, bullets and em spacing are stripped, and the character count usually includes the whitespace you cannot see. Draft the field text in plain text at the limit, then paste.
• Treating the structured form as the summary of the long CV. It is a different selection, not a shorter one. The prescribed format asks specific questions, and the right answer is often material that is buried on page seven of the master CV.
• Missing the identifier prerequisites. ORCID iDs, institutional profile links and grant-system accounts take days to reconcile, not minutes, and several systems will not let you certify a document until the identifiers resolve.
• Adding sections the template does not have. Extra sections read as an inability to follow instructions, and in page-limited formats they push required content past the cut.
• Leaving it to the last day. Generator systems certify and lock documents, and a correction after certification can mean regenerating and re-certifying with your institution's research office in the loop.

The working practice that survives all of this: the long academic CV is the source of record, updated continuously, and every structured submission is generated from it. If the structured form is where you first write something down, it will not be on your CV next year when you need it.

How Academic Search Committees Actually Read CVs

Academic search committees do not use applicant tracking systems the way industry recruiters do. CVs are usually delivered to the committee through Interfolio, the institution's own portal, or HR-shared folders, then read directly by faculty. ATS keyword optimization is largely irrelevant. What matters is the human reader's attention pattern.

The first read averages 30 to 60 seconds. Faculty eyes go to four landmarks in this order:

1. Education. Where did the candidate train? With whom?
2. Most recent appointment. Postdoc lab and PI; or current faculty position.
3. Publications count and venues. How many first-author papers? Top-tier venues for the field?
4. External funding. Has the candidate independently won money?

CVs that pass the 30-second read get a longer second read of 5 to 10 minutes. The second read evaluates publication quality (specific journals and venue rankings), funding portability (which grants can move with the candidate), teaching effectiveness (course evaluations, breadth of subjects), service depth (signaling collegiality), and references (whether the listed referees are recognizable to the committee).

Format conservatively. Academic CVs are not the place for two-column layouts, color blocks, icons, photos (in the US), or graphical accents. Use a single-column document, a serif font (Times New Roman, Garamond) or a sans-serif (Calibri, Arial) at 11 to 12 point, 1-inch margins, surname plus page number header on every page, and clear section labels in bold or small caps. Submit as PDF, not .docx; PDF preserves layout across viewers and is the universally accepted academic format.

The "no ATS" claim deserves a caveat. Some large universities are introducing automated keyword screens for very high-volume openings (assistant professor positions in mass-market fields with 800+ applicants). Verify the institution's submission portal: if it parses uploads into structured fields, treat it as ATS-adjacent and ensure section headers use standard names (Education, Publications, Grants).

How Our Parser Handles a CV That Is Not a One-Page Resume

Most resume parsers are built on assumptions an academic CV violates immediately: one or two pages, a single dated employment history, a short skills line, and no numbered reference list. A CV brings repeated page headers, a numbered publication list that looks structurally identical to a bulleted work history, grant entries laid out as tables, and date ranges attached to items that are not jobs. When those assumptions break, the usual failure is silent: the document parses, but publications get read as employment, or a grant table collapses into one unreadable line.

Because that failure is invisible to the person submitting, it is worth being explicit about what our own processing does and does not do with a CV.

The practical consequence for anyone maintaining a long CV: the parseability question and the persuasion question are separate, and only one of them is worth optimising for at a time. For a faculty search, write for the committee and format conservatively. For anything that passes through a portal, a parser, or a recruiter, run the document through extraction first and read what came out, because the version the system holds is the version that gets evaluated.

Common Academic CV Mistakes

Pre-Submission Checklist

Run through this checklist before submitting any academic CV. Twelve items to verify in order.

1. Citations exported in the correct discipline style (MLA, Chicago, APA, Vancouver, or CSE).
2. Your name is bolded in every author list.
3. DOIs are included for every published article.
4. Surname and page number header appears on every page.
5. Reverse-chronological ordering within every section.
6. References contacted and confirmed; share the position description with each referee.
7. External funding totals calculated; internal grants kept in a separate subsection.
8. h-index and citation count updated to the same date (note source: Google Scholar, Scopus, or Web of Science).
9. Teaching evaluations summary included if competitive (4.5/5.0 or higher on a 5-point scale).
10. Service quantified (number of papers reviewed, students mentored, committees served).
11. Conference talks date and location stamped (city, month, year).
12. Saved as PDF with a descriptive filename: Miller_Jordan_CV_April_2026.pdf.

When You Need a Different Format Instead

An academic CV is not the right document for every academic-adjacent application. Three boundary cases:

• National laboratory or government research positions. Federal labs (Oak Ridge, Lawrence Berkeley, Sandia) often run on USAJOBS and want a federal resume, not an academic CV. See our federal resume template guide for the OPM two-page rule and the structured fields required.
• Industry research or applied science roles. Industry research at companies like Genentech, Google DeepMind, or OpenAI uses an industry resume format. PhDs targeting these roles need the conversion playbook covered above and in our career change resume guide.
• C-suite or executive academic administration. Provost, dean, and university president roles use an executive CV that combines academic record with administrative leadership achievements. See our executive resume examples for the executive format.

Frequently Asked Questions