Mon, 01 Jun 2026
15:30
L5

TBA

Soheil Azarpendar
((Mathematical Institute University of Oxford))
Mon, 25 May 2026
15:30
L5

TBA

Nivedita
((Mathematical Institute University of Oxford))
Optimal experiment design for practical parameter identifiability and model discrimination
Maini, P Baker, R Liu, Y Mathematical Biosciences

The UKRI funded national mentoring scheme for early career researchers in mathematics, statistics and computer science that identify as LGBTQ+ is looking for mentees and mentors.

The scheme will run from May to October, starting with a training session on Wednesday 27th May 2026 to help get started. We expect that the mentoring partnership will run for 6 months with 3 (virtual) meetings suggested.

Pipp & Co Doughnuts - every Thursday from 30 April, only £3 each:

  • Cinnamon & Brown Sugar 
  • Mixed Berry Jam
  • Belgian Chocolate
  • Madagascan Vanilla Custard
  • Sicilian Lemon Curd

Cinco de Mayo – Tuesday 5 May

A special Mexican lunch menu of nachos topped with mixed bean chilli or pulled beef barbacoa with cheese sauce, sour cream and jalapenos, available from 12 pm to 2 pm.

The Oxford SIAM-IMA Student Chapter and Fridays@4 are excited to announce sign-ups for the Three Minute Thesis Competition are open.

Tue, 12 May 2026
14:30
C2

Try a Policy Internship and Apply Your Maths from Marine Mammals to Much More

Jun Jewell
(WCMB)
Abstract

If you are curious about using your maths outside academia, want to learn new skills, or just want a change of pace from your PhD, then consider a policy internship. During a three-month UKRI policy internship at the Joint Nature Conservation Committee, I worked on assessing the impact of human-made underwater noise on harbour porpoises. I got to see what it was like to work for a government advisory body, and how scientific modelling is used to inform policy and real-world decision making, all whilst occasionally spotting dolphins from my office window. In this talk, I will describe my project and use it as a starting point to discuss internships more broadly: what you can gain from them, how they differ from academic research, and how to apply.

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