Professor · The scholar paid to profess a subject in public — twenty-five centuries of teaching and discovery, from Plato's grove to the tenure track and the AI tutor.
From the outside the job looks like talking: an hour at the front of a room, a few times a week. The talking is the visible tenth of it. Underneath sit the skills the lecture depends on — mastering a field's entire literature, designing research nobody has done before, writing it into papers that survive hostile review, winning the money that pays for it, and forming the next generation of researchers one supervision meeting at a time.
The craft has an unusual property: almost nobody is formally taught it. Doctoral programs train research technique, but lecturing, supervising, reviewing and grant-writing are mostly absorbed by imitation. That is why the profession's accumulated know-how — the tricks veterans actually pass on — matters more here than in trades with formal apprenticeships, and why the best of it is worth writing down.
What the work demands
Disciplinary depth
95
Research design & original inquiry
91
Academic writing & publishing
85
Teaching & explanation
76
Mentorship & supervision
70
Grant-winning & academic politics
62
Disciplinary depth
Command of a field's methods, literature and open problems deep enough to referee what counts as a contribution — the foundation every other skill stands on.
Research design & original inquiry
Framing questions nobody has answered, then building the experiment, argument or archive strategy that can actually answer them — the part of the job that defines it.
Academic writing & publishing
Turning research into journal articles and books that survive peer review; output here, more than anything else, decides hiring, tenure and reputation.
Teaching & explanation
Making a hard subject learnable for a hall of novices — structuring, pacing, questioning — a skill the incentives undervalue and the students never forget either way.
Mentorship & supervision
Guiding doctoral students through years of research and doubt; a professor's longest-lasting output is usually people, not papers.
Grant-winning & academic politics
Persuading funding panels, chairing committees, negotiating departments — the unloved managerial layer that determines whose research gets to exist.
A day in the life
7–9Writing before the inbox
The productive minority guard the first hours for research writing — the one task that builds a career and the first to evaporate once email and meetings begin.
9–12Teaching block
A lecture to a hundred first-years or a seminar with twelve doctoral students, plus the office hour after — the profession's public, timetabled core.
12–13Seminar over lunch
The departmental research seminar: a visiting speaker, a sandwich, and the week's one guaranteed dose of ideas from outside one's own project.
13–16Supervision, lab or archive
One-to-one meetings with thesis students, a walk through the lab to unstick experiments, or — in the humanities — the professor's own turn among the sources.
16–18The committee hours
Faculty meetings, admissions files, peer reviews owed to three journals, grant-report deadlines and the email backlog: the administrative sediment of a self-governing profession.
18–7Reading, marking and rest
Evenings absorb what the day displaced — marking, manuscript reading, conference deadlines. Surveys in several countries put the full working week above fifty hours; the job has no natural edge.
The know-how
Craft knowledge practitioners actually pass on — not motivation.
01
Write daily, briefly, on schedule
Psychologist Robert Boice tracked new faculty for years and found the productive ones wrote in short, scheduled daily sessions, while "binge writers" waiting for free time produced a fraction as much and suffered more. His prescription — thirty to ninety minutes, every working day, before other duties — remains the single best-evidenced piece of craft advice in academia.
02
Stop lecturing; make them convince each other
Physicist Eric Mazur discovered his Harvard students could solve textbook problems yet failed simple conceptual questions. His fix, peer instruction: pause the lecture, pose a conceptual question, have everyone commit to an answer, then argue in pairs and vote again. Learning gains measured on standard concept inventories roughly doubled, and the method spread worldwide.
03
Work on important problems, with the door open
Richard Hamming's celebrated Bell Labs talk distilled decades of watching colleagues: the scientists who mattered worked on the important problems of their field, and those who kept office doors open — accepting interruption in exchange for knowing what actually mattered — outperformed the closed-door perfectionists over a career.
04
Prepare by explaining, not rereading
Feynman's test for real understanding was whether a topic could be rebuilt as an honest freshman lecture; when Caltech colleagues asked him to explain why spin-one-half particles obey Fermi statistics, he promised a freshman lecture, then returned saying he couldn't do it — "which means we really don't understand it." Preparing to teach a thing is the sharpest audit of whether you know it.
05
Write the aims page first, then circulate it
Grant veterans draft the one-page summary of aims before anything else and send it to colleagues for demolition while the ideas are still cheap to change. Reviewers on funding panels read dozens of applications in a sitting; the craft is making the first page carry the whole argument, because it is often the only page read carefully.
06
Let the board set the pace
Mathematicians defend chalk against slides on pedagogical grounds: a derivation performed live at handwriting speed cannot outrun the audience, and erasing forces the lecturer to hold the structure in their head — which means the students can too. The discipline's attachment to blackboards is a considered position about pacing, not nostalgia.
Tools of the trade
Chalk and the blackboard
Mathematics and theoretical physics still run on chalk, deliberately: deriving at handwriting speed paces a lecture to what an audience can absorb. When Japan's Hagoromo — the "Rolls-Royce of chalk" — closed in 2015, mathematicians worldwide hoarded cases until a Korean firm bought the recipe.
LaTeX
The document-preparation system descended from Donald Knuth's TeX (1978) and Leslie Lamport's LaTeX (1984), and still the standard in mathematics, physics, computer science and economics — a piece of 1980s software kept alive by the exactness of the notation it typesets.
Reference manager
Zotero, EndNote or plain BibTeX: the working memory of a scholarly career, holding thousands of sources, quotations and PDFs. A dissertation's bibliography alone routinely runs past five hundred items; nobody carries that in their head.
The learning management system
Moodle, Canvas or Blackboard — the course's administrative chassis: syllabus, readings, submissions, grades and announcements. Unglamorous, universally grumbled about, and now as central to teaching as the lecture hall itself.
Bibliographic databases
Google Scholar, JSTOR, Scopus, arXiv and their disciplinary siblings — the instruments through which a professor monitors a field that publishes faster than anyone can read, and the first stop of every literature review and tenure-letter writer alike.
How people fail at it
The perfection stall
Manuscripts polished for "one more pass" die unpublished while the tenure clock runs; Boice's studies found struggling new faculty wrote almost nothing weekly while reporting they were too busy to write. The field rewards a good paper submitted over a perfect paper imagined, and the successful learn to ship.
Drowning in service and teaching
Committees, advising and course preparation expand to fill any week, and tenure reviews weigh them lightly against publications — a trap that falls disproportionately, studies repeatedly find, on women and minority faculty who are asked to do more of the department's invisible labor.
The sunk-cost postdoc treadmill
Rolling one temporary contract into the next for a decade, moving countries each time, waiting for the permanent post that statistics say may never come. The honest move — deciding in advance what evidence would mean leaving, and treating industry or teaching careers as destinations rather than failures — is the one the culture makes hardest.