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I’m working on the project, “inferring ocean turbulent mixing from tracer observations” under the supervision of Dr. Laura Cimoli

 

About me

In September I will be starting the 4th and final year of the MMath programme at the University of Nottingham.

I am planning to do a PhD after my studies, and I’m trying to decide between two quite different fields: astrophysical fluid dynamics and climate science. Before fully committing to one, I wanted to get experience in both fields. Since my dissertation is going to be in relativistic hydrodynamics, I decided to intern with ICCS to get a feel of what climate research looks like.

 

Typical Day

One of the pros of research is that working hours are more flexible than in other industries. Generally I try to stick to the canonical office hours, just to give myself a routine. So I usually start at 9/9:30, take a lunch break of an hour/an hour and a half, and then keep working until around 5:30. It might be a little later if I feel like I’m in the middle of something. After work I usually go to the gym, and then go home and relax for the evening. When I don’t manage to complete everything I had to get done by the end of the week, I’ll work for a couple of hours on the weekend.

 

Learning Point

After getting stuck for weeks, I finally got to the point of the project where I started to see results. I was looking forward to seeing how the physics would play out so this was really exciting. Since I never had the chance to do much data analysis at university, this project has been an opportunity to  learn a new skill. I feel like research has somewhat of a creative component, and letting the stress get to your head will affect your work. I’ve thus learnt a huge lesson: to try not to let the frustration prevent you from thinking outside of the box. 

 

About Us

Computational modelling is key to climate science. But models are becoming increasingly complex as we seek to understand our world in more depth and model it at higher fidelity. The Institute of Computing for Climate Science studies and supports the role of software engineering, computer science, artificial intelligence, and data science within climate science.

The institute comprises a collaboration between Cambridge Zero, the Departments of Applied Mathematics and Theoretical Physics (host department of the institute), Computer Science and Technology, and University Information Services at the University of Cambridge.

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