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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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Discovering what makes you tick

CubeSat

Chris Acheson reflects on the Career Development Summer Project he completed, as well as the employment he has undertaken since graduating with an MPhys in Physics in June 2018.


By the end of Senior Honours year on my MPhys degree I was feeling pretty lost. I didn’t know what I wanted to do after graduating, and was generally feeling pretty demotivated on the course. On a whim, I applied for a summer placement in industry with an interesting sounding CubeSat software company, Bright Ascension. After a friendly telephone interview, I was informed that my application had been successful. What followed was a fascinating summer.

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Gaining transferrable skills in order to prosper

Students who are involved in running Prosper

Duncan Harris, 4th year Physics & Music student, shares his experience with student run social finance fund, Prosper.


Going into the third year of my Physics and Music degree I began to look for ways to use the skills I had been learning on my course for something beyond the realm of quantum mechanics. A friend pointed me in the direction of Prosper Social Finance, I applied to join and have been involved ever since.

Prosper is the UK’s first student run social finance fund, started by some students here at Edinburgh a couple of years ago. We take on student analysts and train them in the fundamentals of financial analysis, stock markets and sustainability assessment methods whilst they research companies who might be suitable for our fund. This culminates in a stock pitch to our panel of industry experts who select the best stocks to invest in with money from the University. We invest with a longer term view, holding our investments for 5 years after which we sell and take any of the profits and distribute them to social enterprises and charities in Edinburgh.

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