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Tag: doctoral researchers

  • Your Supervisor Has Left and the Thesis Has Stalled: What Actually Happens Now

    Your Supervisor Has Left and the Thesis Has Stalled: What Actually Happens Now

    Your supervisor has left, gone on long-term leave, or simply stopped replying — and the thesis has stopped with them. Nobody has told you what happens next, because the national frameworks do not cover it and your regulations are buried in a code of practice you have never opened. Here is what the rules actually say, and how to keep the thesis moving while the institution catches up.

    Keep drafting while the handover happens — free tier, your scholarship, your structure held in one place.

    What this costs if you wait for someone else to fix it

    The costs are specific and they compound.

    The first is time you will not get back. UKRI’s training grant terms build the entire extension architecture around the student’s own leave — family leave, medical leave, additional leave. There is no extension category for disrupted, absent or departed supervision. The responsibility for supervision sits with the research organisation under the grant conditions, which means a funded deadline continues to run while your supervision does not.

    The second is drift. A doctorate is held together by a sequence of small decisions about scope, and those decisions stop being made when there is nobody to make them with. Three months of an unsupervised writing-up period produces a great deal of text and very little chapter.

    The third is that the eventual replacement inherits a project they have to reconstruct from scratch, and reconstruction takes months you also do not have.

    What your university is actually obliged to do

    Every UK institution has rules for this. They differ so sharply that you cannot rely on anything you have heard from a friend at another university.

    Institution Trigger for action on absence What must happen
    UCL Principal supervisor absence “exceeding 4 weeks” The supervisor must “Arrange (in consultation with the Subsidiary Supervisor and the Departmental Graduate Tutor) for a replacement”. A subsidiary supervisor must “Provide for continuity of supervision in the event of the absence or departure of the Principal Supervisor.”
    University of Bristol Unplanned absence “anticipated to exceed six months” The Head of School “must consider whether to appoint a new permanent main supervisor or to explore other options with the PGR student.” Shorter absences trigger a duty to ensure “adequate supervision”, with “temporary supervisory support” if necessary.
    Queen’s University Belfast “a supervisor being unavailable for a significant period” — no numeric threshold School responsibilities for “ensuring the appointment of appropriate supervision”, including “should a change in supervisor be required under different circumstances such as at the student’s request”.

    That first column is the finding. UCL imposes a duty to act at four weeks. Bristol imposes a duty merely to deliberate, and only once an absence is expected to run past six months. That is more than a six-fold difference in threshold, and a difference in kind — one is a self-executing obligation on your supervisor, the other is a consideration by a Head of School. Queen’s sets no number at all.

    Bristol does state the underlying duty broadly, and it is the sentence to quote if you need one: the Head of School “is responsible for changing supervisors if this is necessary to ensure that a PGR student has continuous supervision during their registration.”

    The clause nobody warns you about

    One provision in Bristol’s code deserves isolating, because it can override everything above. On changing supervisors, the Head of School “must consider the requirements of any sponsors when changing supervisors. If a studentship is attached to a particular supervisor or to a specific research grant, it might not be permissible to change the student’s supervisors.”

    If your funding came through your supervisor’s grant, the money and the supervision may be legally bound together. That does not leave you without options, but it does mean the conversation is different — and it is a conversation to have with your graduate school early rather than after the departure. If you are still weighing routes into a doctorate, the funding structures behind this are set out in UKRI studentship versus self-funded PhD.

    A first meeting with a newly appointed supervisor, briefing them on three years of work
    The first meeting with a replacement decides whether you lose two weeks or two terms.

    The national frameworks are silent, and that is why this feels unmapped

    It is not your imagination that there is no guidance. We looked for it.

    The UKCGE Good Supervisory Practice Framework sets out ten criteria for doctoral supervision, from recruitment and selection through to reflecting upon and enhancing practice. None of them covers supervisor absence, departure, handover or continuity of supervision. The nearest it comes is an argument for team supervision: co-supervision developed to enhance the doctoral experience “by reducing their reliance upon a single individual and giving them access to a broader range of expertise and support”, with the honest caveat that it can also leave a candidate “playing ‘piggy in the middle’ to the detriment of their experience”.

    The QAA doctoral degree characteristics statement — the edition we could open is the September 2015 second edition — likewise says that “The supervisor is fundamental to the support and development of the doctoral candidate” and promotes supervisory teams, but is silent on what happens when one leaves.

    And PRES, the national survey of doctoral experience, does not measure it. PRES 2025 collected 35,475 responses across 93 institutions and reports supervision as its strongest area — 93 per cent agree their supervisors have the skills and knowledge to support their research, 92 per cent that they have regular contact. But it asks about contact and skills, never about change, absence or handover. A 92 per cent contact figure cannot tell you anything about what happens when contact stops. The wider picture from that survey is in our analysis of PhD wellbeing and supervision satisfaction.

    So the protection is entirely institutional, it varies by a factor of six between neighbouring universities, and no national body has written it down. That is why you have to read your own code of practice, and why the practical burden of continuity falls further onto you than it should.

    What to do, in order

    1. Find your own institution’s threshold. Open your research degree code of practice and search for change of supervisor, absence and continuity. You are looking for a number and for whose duty it is. Do this today, not when the departure is announced.
    2. Go to the graduate school, not the department. UCL gives candidates an explicit right “To consult in confidence with the Departmental Graduate Tutor if you are concerned about any behaviour of your supervisory team, or if you feel that a change of Supervisor is desirable for any reason.” Most institutions have an equivalent role. The formal escalation route, and how to use it well, is covered in managing your PhD supervisory team — this page picks up where a supervisor is gone rather than difficult.
    3. Ask about the funding clause explicitly. Whether your studentship is attached to a person or a grant determines what is possible. Ask in writing.
    4. Get the new arrangement recorded. Who is now the principal supervisor, who is subsidiary, what the meeting pattern is, and from what date.
    5. Check what it does to your registration. Interruption and extension are decided by your institution, not your funder, and the registration and continuation rules that govern them are set out in how long a UK PhD actually takes.
    6. Build the handover pack. See below. This is the part only you can do.

    The handover pack that saves you a term

    A replacement supervisor arrives knowing nothing about three years of work. Whether that costs you a fortnight or a term is decided almost entirely by what you hand them in the first meeting.

    Keep it to a few pages:

    • One page on the research question and the contribution, stated in a sentence each. If you cannot write these, that is the most useful thing the departure has told you.
    • The chapter plan with a status against every chapter — drafted, redrafted, not started — and a word count.
    • What was already agreed, with dates. Scope decisions, methods decisions, anything your previous supervisor signed off. Meeting records are worth their weight here.
    • The data position. Collected, analysed, outstanding — plus any ethics approval and its expiry.
    • A dated timeline to submission, so the conversation starts with a plan to react to rather than a blank page.
    A handover pack assembled so a new supervisor can pick up the thesis without losing months
    The document that turns a supervisor change from a lost term into a lost fortnight.

    Keeping the thesis moving in the meantime

    Here is the part that decides how much this actually costs you. The weeks between one supervisor leaving and another taking over are not dead time unless you let them be. They are, in fact, the ideal period for the work that does not need supervision: assembling the literature review into an argument, drafting the methods chapter from your own records, tightening chapters already written.

    Draft your thesis in Tesify, concretely:

    1. Put the whole thesis in one workspace. The chapter plan, the sources and the drafts together — which is also, exactly, the handover pack described above. You build it once and it serves both purposes.
    2. Turn accumulated notes into chapters while there is nobody to review them, so that when a new supervisor arrives you are handing over drafts rather than intentions. The staged method for this is in three years of notes and no chapter.
    3. Let the bibliography format itself, so the months without supervision are not also months of accumulating clerical debt.
    4. Keep a dated record of what you drafted when. Useful for the new supervisor, and useful if you later need to evidence disruption to your graduate school.

    The scholarship stays 100% yours throughout — which matters more than usual here, because with no supervisor reading your drafts the authorship question is one you must be able to answer entirely on your own account. Tesify is a drafting workspace, not a text generator; it holds the structure so that the thinking, which is the part nobody can do for you and the part your examiners will assess, is where your time goes.

    There is a free tier, so you can build the handover pack and test the workflow on a single chapter before paying for anything.

    Frequently asked questions

    My supervisor is leaving. Is the university obliged to replace them?

    Yes, though the wording varies. Bristol’s code makes the Head of School “responsible for changing supervisors if this is necessary to ensure that a PGR student has continuous supervision during their registration”. UCL places a duty on the subsidiary supervisor to “Provide for continuity of supervision in the event of the absence or departure of the Principal Supervisor.”

    How long can a supervisor be absent before something must happen?

    UK universities set wildly different thresholds. At UCL a principal supervisor must arrange a replacement for “absence for a period exceeding 4 weeks”. At Bristol an unplanned absence must be “anticipated to exceed six months” before the Head of School must even consider a permanent replacement. Queen’s University Belfast sets no number at all.

    Will my funder extend my studentship because my supervisor left?

    Almost certainly not. UKRI’s training grant terms build extensions around the student’s own leave — family, medical and additional leave — and contain no extension category for disrupted or absent supervision. Responsibility for supervision sits with the research organisation, not the funder.

    Can I be refused a change of supervisor?

    It is possible, and the reason is usually money rather than politics. Bristol’s code warns that the Head of School “must consider the requirements of any sponsors when changing supervisors. If a studentship is attached to a particular supervisor or to a specific research grant, it might not be permissible to change the student’s supervisors.”

    Who do I speak to first?

    Your graduate school or postgraduate research director, not your department head. UCL gives candidates an explicit right “To consult in confidence with the Departmental Graduate Tutor if you are concerned about any behaviour of your supervisory team, or if you feel that a change of Supervisor is desirable for any reason.”

    What does the national guidance say about supervisor departure?

    Remarkably little. The UKCGE Good Supervisory Practice Framework sets out ten criteria for supervision and none of them covers absence, departure, handover or continuity. The QAA doctoral characteristics statement is similarly silent. The rules that protect you are institutional, not national.

    Why does team supervision exist?

    Partly for exactly this situation. The UKCGE Framework records that the move to co-supervision came about to enhance the doctoral experience “by reducing their reliance upon a single individual”, though it also warns that co-supervision can leave a candidate “playing ‘piggy in the middle’”.

    What should I put in a handover document?

    Enough that a new supervisor can be useful within a fortnight: a one-page summary of the research question and contribution, the chapter plan with current status, what has been agreed and when, the data collection position, and a dated timeline to submission. Keep it to a few pages.

    Does the PRES survey tell me how common this is?

    No, and that gap is worth knowing about. PRES 2025 gathered 35,475 responses across 93 institutions and reports that 92 per cent of respondents agree they have regular contact with their supervisors. It does not ask about supervisor change, absence or handover at all.

    Should I tell my examiners that my supervisor changed?

    The thesis is examined on its own merits, and a change of supervisor is not a defence for weaknesses in it. What matters is that the work is coherent and yours. Raise the practical consequences with your graduate school instead, where extensions and interruptions are decided.

    Is it academically legitimate to use an AI writing tool while I have no supervisor?

    Provided it is a drafting workspace rather than a text generator, and provided you follow your institution’s rules on disclosure. The standard to hold yourself to is that you can explain exactly which work was yours — which is the same standard that applies with a supervisor in place.

    Is my unpublished research safe in a writing tool, and what does it cost?

    There is a free tier, so you can test it on one chapter before paying. On confidentiality, check any tool’s terms for what it retains and whether it trains on your text before you paste in unpublished findings or participant data, and anonymise transcripts first.

  • Who Gets a UKRI Studentship? Diversity Data on UK Doctoral Researchers (2026)

    Who Gets a UKRI Studentship? Diversity Data on UK Doctoral Researchers (2026)

    In 2023 to 2024, UKRI recorded 5,165 new funded doctoral studentship starts. 47% reported their gender as female, up from 40% a decade earlier; 10% declared a disability; and 2% were recorded as Black. That last figure sits inside a dataset where ethnicity was not disclosed for 26% of starts and unknown for a further 9% — a gap UKRI itself describes as leaving its understanding “partial”.

    All figures on this page are from UKRI’s equalities monitoring for 2023 to 2024 unless stated otherwise. This is the most detailed public dataset on who holds a funded UK doctoral studentship, and it comes with unusually candid limitations that belong beside every number.

    The key figures

    Measure Value Source and year
    New UKRI-funded studentship starts 5,165 UKRI equalities monitoring, 2023–24
    Reporting gender as female 47% (40% in 2014–15) UKRI, 2023–24
    Declaring a disability (UKRI overall) 10% (500 studentships) UKRI, 2023–24
    — highest by council (AHRC) 15% (80 studentships) UKRI, 2023–24
    — lowest by council (EPSRC, BBSRC) 8% (175 and 45 studentships) UKRI, 2023–24
    Ethnicity: White 46% UKRI, 2023–24
    Ethnicity: Asian 12% UKRI, 2023–24
    Ethnicity: Mixed 4% UKRI, 2023–24
    Ethnicity: Black 2% UKRI, 2023–24
    Ethnicity: not disclosed 26% UKRI, 2023–24
    Ethnicity: unknown 9% UKRI, 2023–24
    Aged 29 or under The largest age group at every council; 50% (AHRC) to 93% (STFC) UKRI, 2023–24

    What exactly is this dataset — and what is it not?

    Three scope notes, all of them from UKRI’s own text, and all of them load-bearing.

    It is not an award rate. UKRI states plainly that “UKRI does not publish data on application and award rates for studentship starts”, because the source data and funding mechanism differ from research grants. What is published is “the distribution of awards as reported by holders of our PhD training grants”. So these numbers describe who started a funded studentship, not who applied, and nothing here tells you any group’s chance of success.

    There is no benchmark this year. UKRI’s earlier reports compared studentship figures against HESA student data; the 2023–24 report does not, because “the discrepancies in reporting windows mean that HESA data for 2023 to 2024 was not available when this report was written, so we cannot provide benchmarks in this report.” That is the single most important caveat on this page: without a benchmark you cannot say from these figures alone whether any group is over- or under-represented relative to the doctoral population.

    It covers UKRI funding only. The 5,165 starts are UKRI-funded studentships, a minority of all doctoral registrations — the full population figures, with their own caveats, are in our page on how many PhD students there are in the UK. Self-funded, university-funded, charity-funded and internationally funded researchers are all outside this dataset.

    Where the funded studentships actually are

    Before any characteristic, one structural fact shapes everything else: funded doctoral study in the UK is heavily concentrated by discipline.

    Research council Studentship starts Share
    EPSRC (engineering and physical sciences) 2,230 43%
    ESRC (economic and social) 695 13%
    BBSRC (biotechnology and biological) 560 11%
    AHRC (arts and humanities) 520 10%
    NERC (natural environment) 490 9%
    MRC (medical) 380 7%
    STFC (science and technology facilities) 285 6%
    Total UKRI 5,165 100%

    One council accounts for 43% of all new UKRI studentships. That matters for reading every figure that follows, because council-level differences in age, disability and ethnicity are partly disciplinary composition rather than anything about funding decisions — and the UKRI aggregate is, by construction, weighted heavily toward EPSRC.

    Sex and gender

    The share of studentship starts reporting their gender as female has risen from 40% in 2014–15 to 47% in 2023–24 — a decade of steady movement toward parity within the funded population.

    Two cautions. UKRI collects this through a system offering male, female or “not disclosed”, and acknowledges directly that “these are not in alignment with data reporting categories for equality monitoring data”, noting it is expanding collection to sex and gender reassignment in its newer funding service. And the comparison people most want to make — against the 55% female share of all UK postgraduate researchers reported by HESA — is exactly the benchmark UKRI declined to publish this year, and involves different populations and reporting windows. The gap between 47% and 55% is worth noticing and not worth quoting as a finding.

    A chart with a large hatched segment representing undisclosed data in a diversity dataset
    Thirty-five per cent of the ethnicity data is missing. In a dataset where the largest recorded minority group is 12%, the gap is bigger than the thing being measured.

    Ethnicity, and the hole in the middle of it

    The recorded distribution across UKRI overall is White 46%, Asian 12%, Mixed 4%, Black 2%, Other 1% — with not disclosed 26% and unknown 9%. UKRI’s own summary is that non-disclosure “has been consistently high since 2014 to 2015”, so “our understanding of ethnicity for studentships is partial”.

    Take that seriously before quoting any of the group figures. More than a third of the records carry no usable ethnicity, which is nearly three times the size of the largest recorded minority group. Every percentage above is a share of all starts including the undisclosed, so the true composition of the disclosed-plus-undisclosed population could differ materially in either direction.

    What can be said with confidence is what UKRI itself says: after the White group, and excluding non-disclosed and unknown, the highest proportion of starts at every council came from the Asian ethnic group. The Black share is low everywhere in the recorded data — 5% at ESRC, 3% at BBSRC and MRC, 2% at EPSRC and NERC, 1% at AHRC, and suppressed at STFC because the count was too small to report.

    Adjacent to the studentship data, and about a different population, UKRI’s grant figures show a pattern worth knowing if you are planning an academic career: among principal investigator applicants, those from the White ethnic group had a significantly higher award rate (34%) than Asian (25%) and Black (13%) applicants. UKRI’s own framing is that such differences “reflect systemic patterns rather than biases within the decision-making process itself”. Those are established researchers rather than doctoral candidates, and the numbers must not be blended — but they describe the funding environment a doctoral graduate enters, alongside the destinations data in our page on UK PhD graduate career outcomes.

    Disability

    10% of UKRI-funded students declared a disability in 2023–24 — 500 studentships — and UKRI reports the proportion has been increasing since 2014–15. The council spread is wide: 15% at AHRC (80 studentships) down to 8% at both EPSRC and BBSRC (175 and 45 studentships respectively).

    Read that as a declaration rate rather than a prevalence rate. It measures who told a funder, through a monitoring form, at the point of a studentship start — which is a very different thing from who is disabled. Disclosure is shaped by whether a condition was diagnosed, whether the person identifies with the term, and whether they expect disclosure to help or hurt. The rise since 2014–15 is at least partly a rise in willingness to disclose.

    Age

    At every council, the largest group was aged 29 or under — but the range is enormous, from 93% at STFC to 50% at AHRC. Half of arts and humanities studentship starts go to people aged 30 or over.

    That single contrast explains a good deal that is otherwise mysterious about doctoral life. Arts and humanities cohorts contain far more people with careers, dependants and mortgages, for whom a stipend is a pay cut rather than a first salary — one reason the same disciplines show the highest rates of part-time study and part-time working afterwards. It is also worth holding beside the published stipend rates: the same figure is a reasonable starting income at 23 and an acute problem at 38.

    An equality monitoring form with a disclosure option left unticked
    Every figure in this dataset is a declaration rate. What a monitoring form captures is who chose to answer it, which is why a quarter of the ethnicity field is empty.

    How to cite these figures without overclaiming

    Attribute to UKRI equalities monitoring, 2023 to 2024, and name the population precisely: UKRI-funded doctoral studentship starts, not “UK PhD students”. Never present these as award rates, because UKRI does not publish them and the report says so. Always carry the non-disclosure figure alongside any ethnicity percentage. Do not benchmark against HESA using this report, since UKRI withheld the comparison for stated reasons. Note that rates for groups of fewer than five individuals are not reported and suppressed cells are marked, so small-group figures are absent rather than zero. And prefer the council-level tables to the UKRI aggregate wherever your argument is disciplinary, since the aggregate is dominated by EPSRC’s 43% share.

    What the data cannot tell you, and where to look instead

    This dataset describes who starts. It says nothing about who finishes, who has a good experience, or who leaves. Completion and attrition by characteristic are not published as a routine UK series at all — treat any precise claim about them with suspicion unless it names a study. For experience, the sector’s own instrument is the postgraduate research survey, whose supervision and research-culture findings we cover in our page on PhD wellbeing and supervision satisfaction.

    If you are choosing a route rather than analysing the sector, the more actionable question is which funding structures exist and what each year contains — set out in our comparison of integrated and traditional PhD routes, and in our guide to writing the research proposal for a UK studentship. Whichever route you are on, the work that gets you to the end is the same. Tesify keeps the thesis structured and moving — chapters, drafting and bibliography in one workspace, 100% written by you.

    Frequently asked questions

    How many UKRI studentships are awarded each year?

    5,165 new funded studentship starts were reported in the 2023 to 2024 financial year. EPSRC accounted for 43% of them; the other six councils ranged from 13% down to 6%.

    What proportion of UKRI-funded PhD students are women?

    47% of studentship starts reported their gender as female in 2023–24, up from 40% in 2014–15. This covers UKRI-funded starts only, not the whole doctoral population.

    How many Black PhD students get UKRI funding?

    2% of studentship starts were recorded as Black at UKRI level, ranging from 5% at ESRC to suppressed counts at STFC. Read it beside the fact that ethnicity was not disclosed for 26% of starts and unknown for a further 9%.

    Why is so much of the ethnicity data missing?

    UKRI reports persistently high non-disclosure since 2014–15 and concludes that its understanding of ethnicity for studentships is partial. The data comes from monitoring returns made by training-grant holders, and disclosure is voluntary at several points in the chain.

    What share of doctoral researchers have a disability?

    10% of UKRI-funded students declared one in 2023–24, from 15% at AHRC to 8% at EPSRC and BBSRC. This is a declaration rate rather than a prevalence rate, and it has been rising for a decade.

    Are UKRI studentships awarded fairly across groups?

    This dataset cannot answer that. UKRI does not publish application or award rates for studentships, so the figures show the composition of those who started, not anyone’s chance of being funded.

    Are these figures representative of all UK PhD students?

    No. They cover UKRI-funded studentship starts, which are a minority of doctoral registrations, and are weighted heavily toward engineering and physical sciences by the shape of UKRI’s own funding.

    How does this compare with the whole doctoral population?

    UKRI deliberately did not benchmark against HESA in this report, because comparable HESA data was unavailable when it was written. Anyone drawing the comparison is doing something the funder declined to do, and should say so.

    Why do arts and humanities cohorts look so different?

    Age is the main driver: 50% of AHRC studentship starts were aged 30 or over, against 7% at STFC. Older cohorts change everything downstream — funding pressure, part-time study, caring responsibilities and career expectations.

    Does UKRI publish data on completion by ethnicity or disability?

    Not as part of this monitoring, which covers starts. There is no routine UK-wide series on doctoral completion by characteristic, so precise claims about attrition gaps need a named study behind them.

    Where can I find the underlying data?

    UKRI publishes the equalities monitoring report with an accompanying data dashboard covering financial years from 2014–15 onward, and offers downloadable data for individual figures. Cite that publication rather than any secondary summary, including this page.

  • An Academic Paper Writing Tool for PhD Researchers: Getting the Article Out Before the Funding Does

    An Academic Paper Writing Tool for PhD Researchers: Getting the Article Out Before the Funding Does

    There is a paper in your thesis and you know exactly which chapter it is. You have known for eight months. It has not been written, because every week the thesis is more urgent, and a paper that is nobody’s deadline loses to a chapter that is. Then the funded period ends, and the thing you needed on your CV is the thing you never made time for.

    Tesify gives the paper its own structured workspace alongside your thesis, free to start — so drafting it stops competing with your chapters for the same blank document and the same evening. Below: what the delay actually costs, and the workflow that fixes it.

    What not writing it costs, in numbers

    The argument for publishing during candidature is usually made in vague career terms. The 2026 destinations data makes it concrete. Only 41% of working UK doctoral graduates were employed in higher education fifteen months after graduating — lower than the roughly half recorded in every previous analysis in that series — and of those in higher education research, just 7% held an open-ended contract. The figures and their caveats are in our page on UK doctoral career destinations.

    Read those two numbers together and the conclusion is unavoidable: the academic route is a minority destination competed for hard, and the currency it is competed for in is published work. Departments hiring toward the next assessment cycle are looking at output — the mechanics of which are covered in our explainer on the REF and PhD students, including why co-authored work carries institutional value your sole-authored thesis does not.

    Three costs, then, all of them incurred by delay rather than by any decision you consciously made:

    1. The empty CV at the worst moment. Applications for postdoctoral posts open while you are writing up. “Under review at Journal” on an application in month thirty-six is worth more than a published paper in month fifty.
    2. The unfunded year. Peer review takes months you do not control. Start the paper after submission and the first decision arrives when the stipend has stopped.
    3. The weaker viva. Examiners read a peer-reviewed chapter differently, and the reviewer questions you have already answered are the examiner questions you are about to be asked.
    A research office at the end of a funded doctoral period
    The deadline nobody schedules against. Everything you did not publish during the funded period, you publish during the unfunded one.

    Why the paper does not get written

    Not laziness, and not usually lack of material. Three structural reasons, each with a fix.

    It has no deadline. The thesis has supervisors, reviews and a registration end date. The paper has none of these, so it loses every scheduling contest it enters. Fix: give it a false deadline with a witness — a date agreed with your supervisor, in writing, at a supervision meeting.

    It is the wrong shape and you know it. A chapter and an article are different genres: the chapter proves to examiners that you did everything defensibly, the article tells a field one thing it did not know. Deleting a third of a 25,000-word chapter produces a bad article, everyone senses this, and so nobody starts. Fix: never open the chapter file first. Build the article’s architecture empty, then pull material into it.

    It competes for the same document. Most candidates draft the paper in the same environment, the same folder and the same mental mode as the thesis, so the two jobs interfere. Fix: separate workspace, separate outline, separate sitting.

    The workflow, in five sittings

    This assumes the analysis is done and one chapter contains one extractable claim. The procedural detail — prior-publication policy, authorship norms with supervisors, journal selection and the predatory screen — is in our step-by-step guide to publishing a paper from your PhD thesis. What follows is the drafting half, which is where the months disappear.

    Sitting 1: Write the claim and pick the journal

    One sentence stating what the paper shows. Then three candidate journals ranked by where the work you cite most actually appears, and the author guidelines of the first one open in front of you. Every decision after this is made against a real word limit and a real section structure rather than an imagined one.

    Sitting 2: Build the empty architecture

    Introduction, methods, results, discussion — at that journal’s scale and with its headings, as an outline with a word budget per section and nothing in it. In Tesify this is the same structural work the tool already does for thesis chapters, applied to a shorter document: you set the target shape, and the workspace holds it while you fill it.

    Sitting 3: Pull material deliberately

    Now open the chapter, and move only what the claim needs. The literature review shrinks to its load-bearing third. The examiner-proofing — the third robustness check, the full instrument — goes to supplementary material. This is sorting rather than writing, which means it is achievable on a tired evening, and it is most of the job.

    Sitting 4: Rewrite the discussion outward

    The thesis discussion faces inward to your research questions; the paper’s faces the field. This section cannot be lifted and must be written new, and it is the section reviewers judge you on.

    Sitting 5: Format, reference, submit

    Reference style to the journal’s specification, cover letter in three paragraphs, declarations including the thesis origin. An automatic bibliography does the reformatting that otherwise eats an evening per submission — and if the paper is rejected and goes to a second journal in a different style, it does it again for free.

    A journal manuscript laid out in sections during a rewrite from a thesis chapter
    Build the shape first, then move material into it. Starting from the chapter file is what produces a compressed chapter instead of a paper.

    Where Tesify fits, precisely

    Tesify is a structured academic writing workspace rather than a text generator, and for paper writing that distinction is the whole product. It holds the section architecture you set from the journal’s guidelines, drafts with you section by section instead of producing a finished manuscript, keeps your bibliography formatted in the target style as you cite, and sits alongside your thesis chapters in the same workspace so material moves between them without a folder archaeology expedition.

    What it does not do is the part that would sink you: it does not decide what your findings mean, does not write your contribution claim, and does not invent references. Everything of substance stays 100% written by you, which is the only configuration that survives peer review and a viva. More than 9,000 researchers and students have used it across more than 15,000 chapters, and it is free to start.

    If your thesis chapters are themselves the bottleneck, that is a different job with the same tooling — the method is in our notes-to-chapter workflow. And if your doctorate is structured as a thesis by publication, this workflow is not an extra: it is your thesis, run three times.

    The line, stated plainly

    This audience does not forgive a fudge here, so: tools may carry structure, formatting, references and consistency. They may not carry the argument.

    Reasonably delegated — section architecture from a journal’s guidelines; reference formatting and reformatting between journals; checking that your aims, methods and conclusions still agree after cuts; flagging where a draft assumes something it has not established. Never delegated — what the findings mean; the contribution claim; any citation you have not personally opened and read; text you could not defend to a reviewer or an examiner.

    Language polish sits between the two and is governed by your institution’s rules, which genuinely differ across UK universities — some permit tracked minor corrections by a third party or a tool, others treat third-party editing as a misconduct offence. Our guide to AI academic English editing maps the permitted register and how to disclose it. If your journal or institution asks about tool use, answer plainly; a use you can state openly is a use you have already vetted.

    Start with the chapter you already know about

    Not the best chapter. The one with a single claim that stands on its own — you thought of it while reading this. Give it a deadline this week, build the architecture in one sitting, and submit before your registration ends rather than after.

    Open a workspace for the paper in Tesify and build its structure tonight — free to start, your argument, your words, with the clerical layer handled.

    Frequently asked questions

    How much does Tesify cost?

    There is a free tier and you can build real structure and real drafts on it before deciding whether you need anything more. On a stipend, the comparison worth making is not the subscription against zero but against the cost of an unfunded writing-up term.

    Is using an AI writing tool on a journal paper research misconduct?

    Not where it handles structure, formatting, references and consistency checking on work you wrote. It becomes a problem when a tool produces substance — interpretation, claims, or citations — that you then present as your own reasoning. Follow your institution’s policy and your target journal’s declaration requirements.

    Will reviewers or examiners be able to tell?

    The reliable signal is not stylistic. It is whether you can answer questions about your own reasoning — why this analysis, why this interpretation, what you rejected. A workflow where every judgement is yours leaves you able to answer; one where it is not, does not.

    Do journals require me to declare AI use?

    Many now ask, and the safe practice is to answer honestly and specifically: what the tool did, and what it did not. A precise declaration reads as command of the boundary rather than as confession.

    Is my unpublished research safe in an online workspace?

    A fair question to ask of any tool before uploading a manuscript. In Tesify your work is yours — not published or shared out — and exportable, and keeping your own backups is good practice everywhere. Where participant data is involved, your data-management plan and ethics approval govern what may be uploaded at all.

    Can I use it for a paper that is not from my thesis?

    Yes — the workspace is document-agnostic. A collaboration, a review article or a conference paper uses the same architecture-first method, with the target venue’s guidelines setting the shape.

    How is this different from a reference manager?

    A reference manager holds your library; this holds the manuscript. They are complementary, and the automatic bibliography here is about formatting what you cite into the target journal’s style rather than about storing PDFs.

    Should I write the paper before or after submitting the thesis?

    Before, where the analysis allows it. Peer review runs on its own clock, and a decision that arrives during your funded period is a decision you can act on; one that arrives afterwards is one you handle unpaid.

    What if my supervisor wants to be first author?

    That is an authorship conversation to have early and explicitly, against your field’s norms and your journal’s criteria — contribution rather than seniority. Having it before drafting begins is the single best predictor of it going well.

    Can it help with the response to reviewers?

    Yes, as structure: a point-by-point response letter is a document with a known shape, and holding it against the reviewers’ comments is exactly the clerical scaffolding worth automating. The judgements about which criticisms to accept remain yours.