How do you efficiently look for jobs?
How can you make the most of careers fairs?
What makes a CV or cover letter stand out?
Get practical advice and bring your questions!
We'll discuss what mathematicians are looking for in written solutions. How can you set out your ideas clearly, and what are the standard mathematical conventions?
This session is likely to be most relevant for first-year undergraduates, but all are welcome.
What should you expect in intercollegiate classes? What can you do to get the most out of them? In this session, experienced class tutors will share their thoughts, and a current student will offer tips and advice based on their experience.
All undergraduate and masters students welcome, especially Part B and MSc students attending intercollegiate classes. (Students who attended the Part C/OMMS induction event will find significant overlap between the advice offered there and this session!)
In this talk we will construct a basis of quantum gravity states by cutting the Euclidean path integral. These states are made by inserting heavy dust shell operators on the asymptotic boundary. We will use this basis to resolve two puzzles :
(1) The two boundary gravity Hilbert space seemingly does not factorise, which is in tension with holography.
(2) Gibbons and Hawking proposed the gravity thermal partition function is computed by the euclidean path integral with a periodic time boundary condition. Why is does this perform a trace over gravity states?
To resolve these puzzles we will introduce some tricks that simply the evaluation of the gravity path integral in the saddle point approximation.
This session is aimed at first-year undergraduates preparing for Prelims exams. A panel of lecturers will share key advice on exam technique and revision strategies, and a current student will offer practical tips from their own experience. This event complements the Friday@2 session in Week 1 on Dealing with Exam Anxiety.
This week’s Fridays@2 session is intended to provide advice on exam preparation and how to approach the Part A, B, and C exams. A panel consisting of past examiners and current students will answer any questions you might have as you approach exam season.
This session, led by the Counselling Service, will guide you through a CBT informed understanding of anxiety, which may arise about exams. The session includes:
Please join us for a fireside chat, hosted by OSE, between PQShield founder and visiting professor, Dr Ali El Kaafarani, and Sami Walter, associate at Oxford Sciences Enterprises (OSE).
Dr Ali El Kaafarani is the founder and CEO of PQShield, a post-quantum cryptography (PQC) company empowering organisations, industries and nations with quantum-resistant cryptography that is modernising the vital security systems and components of the world's technology supply chain.
In this chat, we’ll discuss Dr Ali El Kaafarani’s experience founding PQShield and lessons learned from spinning a company out from the Oxford ecosystem.
I will describe a new method for constructing conformal blocks for the Virasoro vertex algebra with central charge c=1, by "nonabelianization", relating them to conformal blocks for the Heisenberg algebra on a branched double cover. The construction is joint work with Qianyu Hao. Special cases give rise to formulas for tau-functions and solutions of integrable systems of PDE, such as Painleve I and its higher analogues. The talk will be reasonably self-contained (in particular I will explain what a conformal block is).
We will review physics-informed neural networks (NNs) and summarize available extensions for applications in computational science and engineering. We will also introduce new NNs that learn functionals and nonlinear operators from functions and corresponding responses for system identification.
These two key developments have formed the backbone of scientific machine learning that has disrupted the path of computational science and engineering and has created new opportunities for all scientific domains. We will discuss some of these opportunities in digital twins, autonomy, materials discovery, etc.
Moreover, we will discuss bio-inspired solutions, e.g., spiking neural networks and neuromorphic computing.
The Charles Pitts Robinson and John Palmer Barstow Professor of Applied Mathematics, Brown University;
Also @MIT & Pacific Northwest National Laboratory
https://sites.brown.edu/crunch-group/
George Karniadakis is from Crete. He is an elected member of the National Academy of Engineering, member of the American Academy of Arts and Sciences, and a Vannevar Bush Faculty Fellow. He received his S.M. and Ph.D. from Massachusetts Institute of Technology (1984/87). He was appointed Lecturer in the Department of Mechanical Engineering at MIT and subsequently he joined the Center for Turbulence Research at Stanford / Nasa Ames.
He joined Princeton University as Assistant Professor in the Department of Mechanical and Aerospace Engineering and as Associate Faculty in the Program of Applied and Computational Mathematics. He was a Visiting Professor at Caltech in 1993 in the Aeronautics Department and joined Brown University as Associate Professor of Applied Mathematics in the Center for Fluid Mechanics in 1994. After becoming a full professor in 1996, he continued to be a Visiting Professor and Senior Lecturer of Ocean/Mechanical Engineering at MIT. He is an AAAS Fellow (2018-), Fellow of the Society for Industrial and Applied Mathematics (SIAM, 2010-), Fellow of the American Physical Society (APS, 2004-), Fellow of the American Society of Mechanical Engineers (ASME, 2003-) and Associate Fellow of the American Institute of Aeronautics and Astronautics (AIAA, 2006-). He received the SES GI Taylor Medal (2024), the SIAM/ACM Prize on Computational Science & Engineering (2021), the Alexander von Humboldt award in 2017, the SIAM Ralf E Kleinman award (2015), the J. Tinsley Oden Medal (2013), and the CFD award (2007) by the US Association in Computational Mechanics. His h-index is 150 and he has been cited over 130,000 times.