Whether you are applying for a postdoctoral position, an industry research role, an academic faculty job, or a competitive fellowship, your CV is the first thing every decision-maker reads. Unlike a standard résumé, an academic CV has no page limit — but it absolutely has a logic, structure, and voice that must be mastered.
This guide walks you through every section, every common mistake, and provides a complete, copy-ready CV template designed specifically for PhD researchers. Bookmark it. Share it. Use it.
Why a PhD CV Is Different
Most career advice online is written for people in corporate roles. A PhD researcher operates in a completely different economy of value. Your currency is intellectual contribution — publications, citations, grants, conference presentations, and the novelty of your research questions.
✔ Academic CV
- Full publication list with journal names
- Research interests stated explicitly
- Conference presentations listed
- Grants, fellowships, and awards prominent
- Can be 3–8 pages long
- Teaching experience is a section
✗ Standard Résumé
- Bullet points of "tasks done" at jobs
- Objective statement at the top
- Kept strictly to 1–2 pages
- Skills section dominated by software tools
- No mention of publications
- Academic background is one line
The 10 Essential Sections
A complete PhD researcher CV should contain the following sections, roughly in this order:
- Personal Information & Contact Name, institutional email, ORCID ID, LinkedIn, personal academic website, city and country. Do NOT include age, date of birth, or photo (unless specifically required by the country/institution).
- Research Interests 2–4 lines of dense, keyword-rich text describing your primary research areas. This is your scholarly "elevator pitch" — make it specific.
- Education List degrees in reverse chronological order. Include institution, degree title, dissertation title, supervisor name, and year. For PhD entries, include the thesis title in italics.
- Research Experience List all research positions, lab affiliations, and project roles. Focus on what you produced (datasets, models, experiments, discoveries), not just what your role was called.
- Publications Use a consistent citation format (APA or Chicago). Divide into: Journal Articles, Conference Papers, Book Chapters, Preprints, Under Review. Bold your name in every citation.
- Grants, Fellowships & Awards List everything — even travel grants. Include the monetary value if it is impressive. This section signals fundability.
- Conference Presentations Oral presentations and poster presentations listed separately. Include the conference name, location, and year.
- Teaching & Mentoring Experience TA roles, courses taught, students supervised. Committees value teaching ability even for research-heavy positions.
- Technical Skills & Methods Lab techniques, programming languages, statistical software, instruments. Be specific — "R (ggplot2, lme4, Seurat)" beats just "R".
- References List 3–4 academic referees with full names, titles, institutions, and email addresses. Always ask permission before listing someone.
Complete CV Template Example
Below is a fully worked-out template. Replace the placeholder content with your own details. The structure is clean, ATS-friendly, and appropriate for postdoc, faculty, and fellowship applications globally.
Supervisor: Prof. Anand Krishnaswamy | Co-supervisor: Prof. Sarah Bennett (UCL)
GPA: 9.4/10 · Awarded Institute Gold Medal
- Applied multivariate fMRI decoding to identify neural signatures of temporal prediction errors across 48 participants.
- Developed a Python pipeline for automated parcellation of hippocampal subfields, now used by 3 labs in the department.
- Resulted in one co-authored publication in Nature Neuroscience (2023).
- Ramachandran, P., Bennett, S., & Krishnaswamy, A. (2023). Hippocampal phase coding supports predictive memory across temporal scales. Nature Neuroscience, 26(4), 812–824. https://doi.org/10.1038/xxx
- Ramachandran, P. & Krishnaswamy, A. (2022). A Bayesian framework for modelling context-dependent memory retrieval in prefrontal circuits. PLOS Computational Biology, 18(9), e1010432.
- Ramachandran, P., Iyer, T., & Krishnaswamy, A. (2024). Deep learning decoding of hippocampal sequences predicts memory precision. bioRxiv preprint. [Submitted to eLife]
- INSPIRE Faculty Fellowship, Department of Science & Technology, India — ₹35 lakhs (2024–2029)
- Wellcome Trust International Travel Grant — £3,000 (2022)
- Best Poster Award, Society for Neuroscience Annual Meeting, San Diego (2022)
- CSIR-NET Junior Research Fellowship, Rank 12 (2019)
- Oral: "Phase-amplitude coupling as a marker of episodic memory consolidation." Society for Neuroscience, San Diego, USA, Nov 2022.
- Oral: "Bayesian models of temporal context in hippocampal memory." IBRO World Congress of Neuroscience, Seville, Sep 2023.
- Poster: "Multivariate fMRI decoding of memory precision." Cognitive Neuroscience Society Annual Meeting, San Francisco, Apr 2021.
- Teaching Assistant — Cognitive Neuroscience (HS5120), IIT Madras (2020, 2021, 2022)
- Guest Lecturer — "fMRI Analysis with FSL," Centre for Brain Research, IISc Bangalore (2023)
- Supervised 4 M.Sc. dissertation students (2021–2024)
Professor, Dept. of Biotechnology
IIT Madras · a.krishnaswamy@iitm.ac.in
Reader in Cognitive Neuroscience
UCL Institute of Neurology · s.bennett@ucl.ac.uk
Writing Your Research Interests
This is the most underestimated section. Search committees use it to match your profile against open positions — so treat it like a keyword-rich abstract. Here's how to write it:
✅ Specific and strong: "My research investigates how hippocampal-prefrontal theta oscillations support predictive memory encoding in humans, using fMRI, EEG, and Bayesian computational models. I am particularly interested in translating these findings to early biomarkers for Alzheimer's disease."
Every word in your research interests should be something a professor in your field would recognise as a meaningful technical concept. Name your methods, your model organism or population, and your broader question.
Formatting Rules That Matter
Font & Spacing
Use a clean, serif or sans-serif font at 10.5–11pt for body text. Recommended: Garamond, Palatino, Cambria (serif) or Calibri, Lato, or Source Sans Pro (sans-serif). Margins should be 1 inch on all sides. Use consistent line spacing (1.15–1.3).
Page Length
For early-career researchers (PhD students and fresh postdocs), 3–5 pages is ideal. Senior researchers may go up to 8–10 pages. Never pad artificially — quality beats quantity.
Reverse Chronological Order
Always list your most recent work first in every section. Committees skim — they need to see your current status immediately.
FirstName_LastName_CV_2026.pdf
Common Mistakes to Avoid
✔ Do This
- Bold your name in every publication citation
- Include your ORCID iD and Google Scholar link
- Mention the impact factor or ranking of journals
- State number of citations for key papers
- Tailor the "Research Interests" for each application
- Keep formatting consistent throughout
✗ Avoid This
- Using "Curriculum Vitae" as the document title (your name is the title)
- Listing "MS Word" or "PowerPoint" as skills
- Including a photo or personal hobbies (unless required)
- Writing vague bullet points like "assisted with research"
- Using two different citation formats in the same CV
- Listing references without asking their permission first
Tailoring Your CV for Different Applications
For a Postdoc Position
Lead with research experience and publications. Make sure your publications section is comprehensive and your research interests align closely with the advertised project. Include a one-paragraph research statement if the application allows.
For an Industry Research Role
Condense to 2 pages. Replace the "Teaching Experience" section with a "Projects" section highlighting deliverables. Quantify everything: datasets built, models deployed, accuracy improvements achieved.
For a Fellowship (SERB, Marie Curie, etc.)
Grant bodies want to see your trajectory. Emphasise publications, awards, and collaborations. Provide citation counts where impressive. A strong "Impact" statement showing how your work has influenced others is worth adding.
"The best academic CVs do not try to list everything you have ever done. They tell a coherent story about who you are as a scientist — where you started, what you discovered, and where you are headed." — Prof. Jennifer Whistler, UC Davis, in her viral CV advice thread
Final CV Checklist
Before submitting, go through this checklist:
- My name is on every page as a header or footer
- All dates are consistent in format (e.g., "Jan 2021" not "01/21")
- My name is bolded in every publication citation
- I have included my ORCID iD and Google Scholar profile link
- All publications are correctly formatted in one consistent style
- My institutional email (not personal Gmail) is listed
- Research interests are tailored to this specific application
- All referees have been contacted and agreed to be listed
- The file is saved as a PDF, named with my name and year
- A colleague or mentor has reviewed the CV for clarity and errors
moderncv and AltaCV LaTeX templates are widely used and respected in academia. For non-LaTeX users, Microsoft Word's built-in academic templates are a solid alternative.
Building the perfect PhD CV is not a one-time task — it is a living document. Update it every time you publish, present, or win an award. The researchers who get the positions they want are usually not more talented than the ones who don't — they are simply better at communicating what they have accomplished.
Start with the template above, adapt it to your field and career stage, and keep it honest, specific, and up to date. Good luck.