Are you tempted to teach?

Pupils and teacher sitting round a table

Find out about year 3 student Maxim Oweyssi’s experience undertaking a teach physics internship in London through The Ogden Trust.


As far as my internship goes, if someone asked me a few years ago, whether I see myself teaching children, my answer would be a decisive no: “because I want to do research” I would say. However, after having the chance to prepare and teach lessons on my own, I have to admit that there is something intriguing about the prospect of becoming a teacher. Putting aside the altruistic aspect of contributing towards the knowledge of future generations, I found the actual work fulfilling. There is something immensely satisfying about that “aha” moment when your students finally understand a new concept – they have that Archimedean eureka look in their eyes.

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Machine Learning for particle physics

Student Brendan Martin

Brendan Martin is currently in year 4 of the MPhys Mathematical Physics degree.  He completed a Career Development Summer Project in machine learning.


I worked in the area of machine learning for particle physics. Machine Learning can be an extremely useful tool for analysing data from experiments – in classifying particles or identifying interesting event topologies, for example. Designing accurate, computationally cheap algorithms is therefore hugely important. Under the supervision of Prof Luigi Del Debbio, I investigated the relationship between the bias, variance and noise of a given data set using a deep neural network as an estimator. I gained insight into the fascinating, quickly developing field of machine learning whilst simultaneously improving my programming skills.

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