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- Published: 3rd October 2026
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Personal statement example
Most mornings at the seaside café where I work, the same few herring gulls arrive before the shutters are fully up. They do not mob the tables at random. They land on the railing opposite the counter and watch people leaving with paper bags, and they rarely approach anyone carrying only a coffee. Serving pasties under that scrutiny is part of what led me to my undergraduate dissertation, and it is why I now want to train properly in the design and analysis of behavioural research.
I studied Zoology, and my final-year project asked whether urban gulls attend to the way people handle food. I adapted a design from published work on gull attention: I placed an identical wrapped item on the ground near individual gulls, then either looked at it and handled it or left it untouched, and recorded which gulls approached and how quickly. Over six weeks I ran trials on two promenades, filming from a phone on a small tripod and coding approach latency afterwards. Recruitment was harder than I expected. Many gulls flew off before a trial began, and I had to decide in advance what counted as an abandoned trial so I would not be tempted to keep only the tidy ones. My final sample was modest, and the difference between conditions pointed in the expected direction but was not large enough to be confident about. I was pleased with the project anyway, because I learnt to pre-specify exclusion rules, to have a second coder score a subset of clips blind to condition, and to report a weak result plainly. My supervisor's comment that the methods section was the strongest part felt like the right kind of praise.
The project also showed me the limits of my training. I analysed latencies with basic non-parametric tests and suspected that a mixed model accounting for site and time of day would have suited the data better, but I did not know how to build one with confidence. Since graduating I have been working through Richard McElreath's Statistical Rethinking alongside its free lectures, rebuilding my gull data in R. I now understand why treating repeated trials at one site as independent was a weakness, which is uncomfortable but useful.
Away from gulls, I volunteer on a weekly bat transect run by a local conservation group. We walk a fixed route at dusk with heterodyne detectors and log passes. I am a volunteer, not a surveyor, but the transect has taught me the patience of standardised monitoring: the same route, the same pace, logging nights when almost nothing happens. It has also made me curious about acoustic behaviour, because pipistrelle feeding buzzes are so easy to hear compared with most of what animals do.
The café job matters too. I open three mornings a week, which means arriving at six, taking deliveries and keeping the counter running alone until the second shift arrives. It is not glamorous, but it has made me reliable and organised, and it fitted around fieldwork in a way an office job would not have. I also play five-a-side on Thursday evenings, which mostly keeps me sane during write-ups.
I am applying for a research-focused masters because I want structured experience of designing a study from question to analysis, with stronger statistical grounding than my degree gave me. I am particularly drawn to questions about how wild animals living alongside people learn from human cues, and whether such learning differs between individuals. I would welcome supervision that pushes my thinking on experimental design and on what my observations can and cannot show. Longer term, I hope to pursue a PhD or work in applied behavioural research for wildlife management, where careful evidence about animals near people is increasingly needed.