PERSONAL STATEMENT
EXAMPLES
My statements
Home » Subject areas » Physics, astronomy and space science » Physics » Medical physics postgraduate personal statement example

Medical physics postgraduate personal statement example

PSE example
  • Reading time: 3 minutes
  • Price: Free download
  • Published: 17th September 2026
  • Word count: 616 words
  • File format: Text

Personal statement example

Eight years ago I finished a physics degree with a vague plan to work in instrumentation and a strong dislike of being unemployed. The job I took, as a calibration technician for a firm making pressure and temperature sensors, turned out to suit me better than I expected, and I have stayed. I am applying for a master's in medical physics because the work I do daily — measurement, traceability, accepting that no reading is meaningful without its uncertainty — is the same work that underpins safe radiotherapy and imaging, but in a setting where the consequences matter to patients rather than to a client's production line.

My undergraduate project pointed in this direction before I recognised it. I measured the attenuation of caesium-137 and cobalt-60 sources through layered aluminium and lead, and spent most of the write-up explaining why my half-value layers sat consistently below published figures. Working through scatter contributions to the detector, source geometry and the limits of the narrow-beam approximation taught me more than a clean result would have. I still find that the most interesting part of any measurement is the gap between the idealised model and what the instrument actually reports.

At work I calibrate reference instruments against standards, write the procedures other technicians follow, and investigate drift when a unit fails verification. Much of this is unglamorous: temperature-controlled rooms, long soak times, documentation. It has, though, given me a practical feel for quality assurance as a continuous discipline rather than a box-ticking exercise, and for the habit of asking what could make a good-looking number wrong. I have also spent two years as the person new starters are given to, which means I have had to explain uncertainty budgets and repeatability to people meeting them for the first time. Learning to do that without either patronising or losing them has been genuinely useful preparation for a field where physicists must communicate dose and risk to clinicians and patients.

Returning to study has required deliberate preparation, since a degree finished eight years ago is not a licence to sit in a lecture theatre. I have worked through a distance-learning mathematics module covering differential equations and Fourier methods, partly because I wanted the Fourier material properly secure before meeting image reconstruction. Alongside that I have read Dendy and Heaton's Physics for Diagnostic Radiology, which clarified for me how much of image quality is a negotiated compromise — contrast against dose, resolution against noise — rather than a technical optimum. I have also taken an interest in Monte Carlo methods for dose calculation and have been teaching myself Python beyond the spreadsheet-and-macro habits of my job, writing small scripts to simulate photon interactions in simple geometries. They are crude, but building them forced me to think about interaction cross-sections rather than just quoting them.

For the past eighteen months I have volunteered one Saturday a fortnight driving patients to hospital appointments, including to oncology outpatients. I am careful not to overstate what this teaches me; I wait in car parks, not treatment rooms. But it has kept the human end of the field in view, and made me conscious that a treatment plan is delivered to someone who has arranged childcare and taken unpaid leave to attend.

I am drawn particularly to radiotherapy physics and to the quality assurance and dosimetry side of it, though I would welcome the chance to work seriously on imaging before deciding. A master's is the route into clinical training, and I am ready for the financial and practical adjustment involved in returning to full-time study. I bring a slower, more methodical approach than I had at twenty-two, and a clear reason for being there.

Why this example works — strengths and ways to improve

This is a well-judged statement from a career changer with genuinely transferable preparation. Your link between calibration, traceability and clinical QA is earned rather than forced, and your undergraduate attenuation project is reflected on thoughtfully. The main gaps are some thinness in describing current methods, a slightly generic close, and the claim that a master's leads into clinical training, which needs care.

Subject motivation

no reading is meaningful without its uncertainty

Your motivation grows out of daily work rather than abstract enthusiasm. You explain why medical physics specifically, with measurement integrity carried into a setting with patient consequences. That is coherent and personal. The contrast with a client's production line works, though it is stated once and could be left there without further emphasis.

Academic preparation

a distance-learning mathematics module covering differential equations and Fourier methods

You recognise the eight-year gap and show targeted refreshing tied to image reconstruction, which is persuasive. Naming a standard text and what it clarified adds substance. You could briefly indicate the outcome or level of the module so readers can judge readiness, without overstating it.

Evidence and reflection

explaining why my half-value layers sat consistently below published figures

This is your strongest reflective passage. You name scatter, geometry and the narrow-beam approximation, showing real engagement with systematic error rather than a generic claim about resilience. The closing insight about idealised models versus instrument output follows naturally from the evidence you give.

Relevant experience

investigate drift when a unit fails verification

Ordinary technical work is presented as credible preparation for QA, and the mentoring of new starters is linked plausibly to communicating dose and risk. The Python and Monte Carlo work is promising but vague; one concrete detail about what a script modelled or got wrong would strengthen it.

Credibility and voice

I wait in car parks, not treatment rooms.

Your restraint about the volunteering is admirable and builds trust. The tone is honest and dryly self-aware throughout. The final line about being methodical and having a clear reason is less distinctive than the rest and slightly asserts what you have already shown.

Structure and format

A master's is the route into clinical training

The structure is logical: motivation, project, work, preparation, wider context, aims. Prose is economical. This route claim varies by country and scheme, so for a real application check and phrase it accurately for the programme you apply to, and tailor the aims paragraph to that course.

What you’ve done well

  • Your calibration career is linked convincingly to clinical quality assurance through specific practices such as traceability, soak times and drift investigation.
  • The undergraduate attenuation project shows genuine critical reflection on systematic error rather than a list of skills.

How this draft could improve

  • Add one concrete detail about your photon-interaction scripts, for example a geometry modelled or a limitation you found, so the self-teaching claim has visible substance.
  • Replace the generic final sentence with a closing thought that draws on your specific evidence, and verify how the master's relates to clinical training where you apply.