CV to Resume Guidebook

A practical guide for graduate students translating academic credentials into industry-ready resumes

Download the CV to Resume Guidebook PDF »

How to Use This Guidebook

CVs and resumes serve difference audiences. This guidebook will help you to translate a CV to a resume by providing annotated examples, practical frameworks, and optional AI prompts for every step.

CV vs. Resume: Two Documents, Two Purposes

  • CV (curriculum vitae): Complete record of your academic career — publications, grants, teaching, service, and more. Length is an asset; completeness is the goal.
  • Resume: A targeted, one-to-two-page argument for why you’re the right person for a specific role. Written for non-specialists, brevity is a feature, and must be tailored to the job description, employer, and industry.

A resume is not a shortened CV. Use this guide to convert your CV into a master resume, from which you will build shorter versions tailored to specific job descriptions.

Using AI Tools

Each section of this guidebook includes optional AI prompts for tools like ChatGPT or Claude. If you follow the frameworks and examples here, you can complete the conversion entirely on your own — AI is an accelerant, not a requirement. That said, it can be genuinely useful for:

  • Overcoming the blank page when converting a CV entry
  • Generating multiple versions of a bullet point quickly
  • Brainstorming metrics and quantifiable impact
  • Reviewing a draft for jargon and tone

AI doesn’t know your work, your discipline, or your target employer. Every AI output is a first draft—check the validity of statements carefully, verify any numbers, and seek professionals in the field for review before submitting.

1. Using CV vs. Resume Language

The table below shows three real CV entries rewritten in resume language. In all three examples, the resume version doesn’t cut content for the sake of brevity—it reframes the experience around leading with what was done and the outcome. The “Why This Works” column makes the logic explicit so you can use it as a guide when converting your own entries.

As you work through the table, keep your target job description nearby. The best resume language doesn’t just translate your CV, it connects your experience to the specific skills and language the employer is looking for.

Examples of CV language converted for a resume.
Category CV Language Resume Conversion Why This Works
Research Examined how Q-learning reinforcement learning (RL) can be used to deliver personalized healthcare recommendations while preserving user privacy and adapting to heterogeneous patient data across multiple edge devices or hospitals Developed scalable AI algorithms for secure, real-time personalized healthcare recommendations Replaces academic jargon with more widely accessible language for employer
Teaching Teaching assistant — Applied regression (Spring 2025); Multivariate analysis (Fall 2023) Led lectures and facilitated two discussion sections for diverse groups totaling 50+ students, translating complex concepts into clear, actionable insights for non-expert audiences Specifies skills used in teaching while quantifying scale and demonstrating impact
Service Served on a departmental student committee representing graduate student interests in discussions with faculty and administrators Represented graduate student interests on a cross-functional committee of 10, collaborating with faculty across 20 departments and administrators to align stakeholder needs and drive consensus Uses industry-recognized term "cross-functional" to describe multi-disciplinary team, and explicitly states leadership skills

Black and white drawing of a robot head to represent automated functions.

 Try This AI Prompt: Translating CV Language

Use the following prompt to convert a CV entry into resume language:

“I am a graduate student converting my academic CV into an industry resume. Below is a bullet point from my CV. Please rewrite it in resume language: replace academic jargon with plain, accessible terms; lead with a strong action verb; and emphasize the outcome or impact rather than the academic context. Keep it to one sentence. Here is my CV bullet: [paste your CV bullet here]”

Tip: Run the prompt once, then ask AI to offer two or three alternative versions so you can choose the best fit.

 

2. Describing Your Experience: The Bullet Formula

The table below walks through the bullet formula one part at a time. You don’t always need all four parts, and the order can shift, but this sequence gives every bullet a clear, readable shape that hiring managers can scan in seconds.

The discipline-specific examples that follow the formula show how researchers across fields—humanities, STEM, computational, health sciences, public policy—have applied it to their own work.

Find the field closest to yours and use those examples as a model. Then check your bullet against the job description: does it emphasize the skills and outcomes that role is asking for?

The Bullet Formula: 

  • Action Verb + Task / Project + Scale / Method + Outcome / Impact

Example: Designed three experiments on music learning, resulting in development of a novel self-teaching interface that allowed novice learners to reduce learning time by 20%.

Examples by Discipline

Sample resume bullets for several fields of study.
Field Sample Resume Bullet
Humanities Analyzed 300+ archival documents; synthesized findings into two peer-reviewed publications and presentations to audiences of 100+
STEM (wet lab) Designed and executed 200+ wet-lab experiments using PCR and cell culture; optimized protocols that reduced assay failure rates by 25%
Computational Analyzed 5M+ records using Python and SQL; built predictive models that improved classification accuracy by 28%
Health Sciences Led clinical research across 120 patient cases under IRB protocols; contributed to evidence-based recommendations increasing treatment success by 40%
Public Policy Evaluated a public program serving 10,000+ beneficiaries; produced recommendations adopted by a municipal agency

Black and white drawing of a robot head to represent automated functions. Try This AI Prompt — Writing Impact-Focused Bullet Points

Use the following prompt to draft a resume bullet using the Action → Task → Scale → Outcome formula:

“Help me write a resume bullet point using this structure: [Action Verb] + [Task or Project] + [Scale or Method] + [Outcome or Impact]. Here is the raw description of what I did: [describe your experience in plain language]. Make the bullet concise (one sentence, under 30 words), quantify where possible, and avoid academic jargon.”

Tip: If you do not have a metric yet, ask AI: “What are reasonable metrics I could track or estimate for this type of work?”—then verify any numbers before using them.

3. Describing Impact from Research and Teaching

Quantifying your impact is one of the most concrete ways to make a resume bullet land, and graduate students often have more data to draw on than they realize.

The tables below organize potential metrics into five categories:

  1. Scale of work,
  2. Time and efficiency,
  3. Results,
  4. Funding, and
  5. Collaboration.

Scan them as a prompt list, not a checklist.

Aim for two or three metrics per bullet that genuinely capture the scope and value of your contribution.

Prioritize whichever numbers would mean the most to the specific employer you’re targeting—a data-driven company may weight efficiency gains, while a policy organization may respond more to scale and reach.

Research Metrics

Suggested metrics to quantify by category.
Category Metrics to Quantify
Scale of Work
  • Number of participants, interviews, cases, or sites
  • Size of dataset
  • Number of experiments, samples, or trials
  • Volume of analyzed documents, archives, or texts
Time and Efficiency
  • Decrease in project duration
  • Decrease in turnaround time
  • Process improvements
  • Reduction in error, costs, or rework
Results
  • Publications, reports, briefs
  • Presentations, workshops, and audience size
  • Tools, datasets, code, or curricula created
  • External groups that adopted findings
Funding and Resources
  • Grant amounts
  • Budget amounts managed
  • Resources allocated
Collaboration and Leadership
  • Team size
  • Mentorship/supervision
  • Cross-functional collaboration

Teaching Metrics

  • Class size (e.g., class of 100+ students)
  • Number of courses taught or assisted
  • Student performance improvements (e.g., improved pass rates by X%)
  • Course evaluations (e.g., 4.5/5 instructor delivery rating)
     

Alert symbol shown as an exclamation point inside of a triangle.Watch Out

Always translate duties into accomplishments—never list a role title without an outcome.

 

Black and white drawing of a robot head to represent automated functions.

Try This AI Prompt — Quantifying Research and Teaching Impact

Use the following prompt to brainstorm metrics for your experience:

“I am a PhD student in [your field] converting my CV to a resume. I want to quantify the following experience but I’m not sure what metrics would resonate with industry employers: [describe your research or teaching role]. Please suggest 5-8 specific, realistic metrics I could include, organized by category (scale, efficiency, results, collaboration). Flag any that I would need to verify or estimate.”

Tip: After getting suggestions, cross-reference with the Research Metrics and Teaching Metrics tables in this guidebook to make sure the categories match what employers in your target industry value.

 

Black-and-white drawing of a pencil touching a sheet of paper to represent taking note. A Note on Using AI for CV-to-Resume Conversions

Before using AI to convert your CV, be aware of the following limitations:

  • AI-generated conversions may misrepresent your work. Always review every bullet to ensure it accurately reflects what you did. AI can hallucinate specifics like numbers, methods, or outcomes it was never given.
  • AI cannot know the job you’re targeting. Prompt it with a specific job description so it tailors language to the role; generic prompts produce generic resumes.
  • Academic nuance gets lost. AI often strips important context (e.g., methodological rigor, interdisciplinary scope) in the push for concise language. Reinsert what matters.
  • Quantification can be fabricated. If you didn’t supply metrics, AI will sometimes invent them. Treat any number in AI output as a placeholder you must verify or replace.
  • AI output is a first draft, not a final product. Use it to overcome blank-page paralysis, then edit heavily. Submitting unedited AI output rarely produces competitive application materials.
4. Example CV

The example CV below belongs to “Pitt Panther,” a fictional psychology PhD student. Read through it with two questions in mind:

  • What would a hiring manager find inaccessible or irrelevant here?
  • And what genuine experience is buried in the academic framing?

The answers are the raw material for Section 5.

Annotations in the right column flag the conventions standard in academic CVs—reverse-chronological order, full citation formatting, separate sections for teaching and service—so you can recognize and preserve them in your own CV while knowing what to leave behind when building a resume.

Sample CV content with annotations.
CV Content Notes
Pitt Panther
Curriculum Vitae
pittpanther@pitt.edu  |  555-555-5555  |  [academic website]
[no notes]
Education

University of Pittsburgh

PhD in Psychology  —  Expected May 2026
Dissertation: [Dissertation Name]
Committee: Dr. Jon Doe (chair), Dr. Jane Doe, Dr. Jill Doe


Penn State University
MA in Social Psychology  —  May 2021
BS in Psychology  —  May 2019  |  Summa Cum Laude  |  Minor in Linguistics
[no notes]
Honors and Awards

Graduate Student Teaching Award  —  University of Pittsburgh, 2020
Provost’s Dissertation Completion Fellowship  —  University of Pittsburgh, 2019
[no notes]
Funding

NSF Graduate Research Fellowship Program  —  2018
National Science Foundation: $34,000 Stipend + Tuition/Fees for three years   
Include competitive grants and fellowships only — not standard program stipends.
Publications

Peer-Reviewed Publications
Lastname, F.M., et al., “Article Title,” Journal Name, vol. 1, no. 3, 2008, pp. 503–509.
Journal Papers Accepted / In Review
Lastname, F.M., et al., “Article Title,” To be published in Journal Name.
Conference Papers
Lastname, F.M., “Article Title,” Proceedings of Conference Name, Nov. 2008.    
Reverse chronological order; use your field’s citation format; bold your name in multi-authored work.
Conference Presentations

Lastname, F.M., “Presentation Title,” Talk at Conference Name, Nov. 2008.
Use citation format standard to your discipline.
Fieldwork Experience

Dissertation Fieldwork, [Location]  —  [Year(s)]
Conducted in-situ fieldwork examining real-time decision making in emergency room settings using semi-structured interviews, behavioral observations, and coded recordings.
Include only if directly related to your field.
Teaching Experience

University of Pittsburgh, Department of Psychology
Primary Instructor: Introduction to Psychology  —  Fall 2025, Spring 2026
Teaching Assistant: Psychological Statistics  —  Fall 2022
Guest Lecture: "Lecture Title"  —  Summer 2023
For teaching-focused roles: add student count, responsibilities, and course evaluation ratings.
Mentorship

Master’s Students Advised: Name, "Thesis Title," Date Graduated
Undergraduate Students Advised: Name, "Senior Thesis Title," Date Graduated
[no notes]
Invited Talks

Colloquium Series, Name of University, "Title of Talk," Date.
Keynote Address, Name of Conference, "Title of Presentation," Date.
[no notes]
Professional Service

Advisory Board Member, Organization Name, Date
Symposium Co-Organizer, Name of Conference, Year
[no notes]
Languages

English: Native Language
Spanish: Intermediate Listener, Novice Speaker, Advanced Reading and Writing
Use an accepted scale (e.g., A[WA2.1][CK2.2]merican Council on the Teaching of Foreign Languages) across Listening, Speaking, Reading, and Writing.
Skills and Fields of Expertise

Laboratory Techniques: [list techniques]
Programming: skill 1, skill 2, skill 3
Research and Analysis Tools: skill 1, skill 2
Platforms: skill 1, skill 2
STEM only: include lab techniques. Use a consistent format throughout.
References

Dr. Albert Jones, [Title], [Department], [University]
Dr. Anne Smith, [Title], [Department], [Company]
Do not include unless requested — have a separate sheet ready.

 

5. Example Resume

This is the resume Pitt Panther builds from the CV in Section 4—condensed to two pages, restructured around accomplishments, and rewritten for a non-academic reader.

As you read it, focus on the decisions: what was kept, what was cut, and how each entry was reframed. Those decisions are the model for your own conversion.

The example below gives you a general blueprint, so each time you apply to a new role, you should revisit and adjust:

  • Which experiences to include — lead with what’s most relevant to the role
  • Which keywords to mirror — use language from the job description where it fits naturally
  • How to frame your summary — speak directly to what that employer values
Sample resume annotated wtih tips.
Resume Content Notes
Pitt Panther
pittpanther@pitt.edu  |  555-555-5555  |  [LinkedIn]
[no notes]
User-focused researcher with seven years of experience in psychology and hands-on experience conducting qualitative interviews, surveys, and usability studies. Motivated to create intuitive, inclusive digital experiences grounded in user insights. Include when your degree doesn’t clearly signal fit. Reframe for the employer’s context.
Education

University of Pittsburgh  —  PhD in Psychology  (Expected May 2026)
Penn State University  —  MA in Social Psychology  (May 2021)
BS in Social Psychology, Minor in Linguistics  (May 2019)
[no notes]
Professional Experience

Graduate Researcher  —  University of Pittsburgh, Dept. of Psychology  (Sept 2021– May 2026)
  • Analyzed datasets using statistical and thematic methods, reducing analysis-to-insight timelines by ~30% through streamlined automation scripts
  • Conducted usability-style testing on 10+ task flows, producing three to five actionable design recommendations per study adopted in subsequent research projects
  • Synthesized findings into 20+ publications and presentations delivered to cross-functional audiences at three international conferences    
Add role-specific sub-headings if the job description calls for distinct experience areas.
Teaching Assistant  — University of Pittsburgh, Dept. of Psychology  (Sept 2021– May 2026)
  • Led discussion sections and lectures for 120+ undergraduate students, adapting content based on feedback to improve engagement and comprehension
  • Collected and analyzed course feedback and performance data, contributing to a 15% improvement in average student outcomes across semesters
No jargon. Quantify impact: efficiency gains, error reduction, adoption rates.
Student Government Representative  —  University of Pittsburgh  (Sept 2021 – May 2026)
  • Supported planning and execution of 10+ academic and professional events, improving accessibility and participation
  • Represented needs of 200+ graduate students on departmental committees, advocating for user-centered policy improvements
No jargon. Quantify impact: efficiency gains, error reduction, adoption rates.
Skills

Technical: HTML, CSS, JavaScript, Python, SQL, Google Analytics, Tableau
Professional: Project management, public speaking
Languages: English (Native); Spanish (Intermediate comprehension; reading/writing proficiency)
Relevant skills only; in order of most to least proficient.

Black and white drawing of a robot head to represent automated functions. Try This AI Prompt — Reviewing Your Resume Draft

Once you have a draft resume, use this prompt to get targeted feedback:

“Please review the following resume for a graduate student applying to [job title] at [type of company or industry]. Flag any bullet points that still use academic jargon, are missing measurable impact, or do not start with a strong action verb. Then suggest one improved version of each flagged bullet. Finally, note whether the overall tone and language are appropriate for a non-academic audience. Here is my resume: [paste resume text]”

Tip: Paste in the job description too and ask AI: “Which of my bullet points best match the keywords in this job posting, and which should I revise?”

Quick Resume Checklist
  • Strong action verb opens each bullet
  • No academic jargon—plain, accessible language throughout
  • At least one metric per bullet (number, %, scale)
  • Committee names, advisors, and publication lists removed
  • GPA omitted unless requested
  • One to two pages (one page preferred for industry)
  • LinkedIn in header—not an academic website
  • Summary tailored to target role/industry
  • Skills section matches the job posting

Black-and-white pushpin illustration used to indicate a tip to keep in mind.

 Remember

A resume is not a shortened CV. Use this guide to convert your CV into a master resume, from which you will build shorter versions tailored to specific job descriptions.

Black and white drawing of a robot head to represent automated functions.Try This AI Prompt — Final Pre-Submission Check

Before submitting, use this prompt as a final quality check:

“I am about to submit this resume for [job title]. Please check it against the following criteria and flag any issues: (1) every bullet starts with an action verb, (2) no academic jargon remains, (3) at least one metric appears in each bullet, (4) no dissertation committee names or publication lists are included, (5) the summary is tailored to the role, and (6) the document is no longer than two pages. Here is my resume: [paste resume text]”

References

The following references acknowledge sources consulted in this guidebook's development; independent review of them is not necessary, as the preceding content is sufficient to complete the resume conversion process.

UCLA Graduate Career Services. (2025). PhD CV Book.

UCLA Graduate Career Services. (2025). PhD Resume Book.

University of Illinois Graduate College. (n.d.). Curriculum vitae: Tips and samples

Yale University Office of Career Strategy. (n.d.). Writing impactful resume bullets

Beyond the Professoriate. (n.d.). Beyond the Professoriate: Career development for PhDs