The EPSRC Centre for Doctoral Training in Mathematics of Random Systems is a partnership between three world-class departments in the area of probabilistic modelling, stochastic analysis and their applications, the Oxford Mathematical Institute, the Oxford Department of Statistics and the Department of Mathematics, Imperial College London, with the ambition of training the next generation of academic and industry experts in stochastic modelling, advanced computational methods and Data Science.
The CDT offers a 4-year comprehensive training programme at the frontier of scientific research in Probability, Stochastic Analysis, Stochastic Modelling, stochastic computational methods and applications in physics, finance, biology, healthcare and data science.
Students receive solid training in core skills related to probability theory, stochastic modelling, data analysis, stochastic simulation, optimal control and probabilistic algorithms. In the first year, students follow four core courses on foundation areas as well as three elective courses, and undertake a supervised research project, which then evolves into a PhD thesis.
Throughout the four years of the course, students will participate in various CDT activities with their cohort, including a CDT spring retreat, the annual summer school as well as regular seminars, workshops and training in transferable skills such as communication, ethics and team-working.
Company Details
- Employees
- 3
- Founded
- -
- Address
- University Of Oxford & Imperial College London, Gb
- Industry
- Research Services
- NAICS
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Scientific Research and Development ServicesResearch and Development in the Physical, Engineering, and Life SciencesResearch and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
- Keywords
- Stochastic analysis, Stochastic partial differential equations, Random combinatorial structures, Stochastic computational methods and optimal control, Random dynamical systems and ergodic theory, Randomness and universal behaviour in physical systems, Stochastic modelling and data-driven modelling in finance, Mathematical modelling in biology and healthcare, Mathematical and algorithmic challenges in data science, Mean-field models and agent-based modelling, Probability, Data Science.
- HQ
- University of Oxford & Imperial College London
- Competitors
- UKRI AI Centre for Doctoral Training in Biomedical Innovation, UKRI AI Centre for Doctoral Training in Decision Making for Complex Systems, QMUL EPSRC Centre for Doctoral Training in Data-Centric Engineering, StatML, Department of Statistics, University of Oxford, Oxford Martin School, UKRI AI4ER CDT, University of Cambridge, Compass EPSRC CDT (University of Bristol), Proficient AI, Open Research Community of Tanzania.
Epsrc Centre For Doctoral Training In Mathematics Of Random Systems Questions
Epsrc Centre For Doctoral Training In Mathematics Of Random Systems's website is https://www.randomsystems-cdt.ac.uk
Epsrc Centre For Doctoral Training In Mathematics Of Random Systems's LinkedIn profile is https://uk.linkedin.com/company/mathematics-of-random-systems-cdt
Epsrc Centre For Doctoral Training In Mathematics Of Random Systems has
3 employees.
View email and phone details for 3
employees at Epsrc Centre For Doctoral Training In Mathematics Of Random Systems.
Epsrc Centre For Doctoral Training In Mathematics Of Random Systems's industry is
Research Services
Epsrc Centre For Doctoral Training In Mathematics Of Random Systems's top competitors are
Ukri Ai Centre For Doctoral Training In Biomedical Innovation,
Ukri Ai Centre For Doctoral Training In Decision Making For Complex Systems,
Qmul Epsrc Centre For Doctoral Training In Data-Centric Engineering,
Statml,
Department Of Statistics, University Of Oxford,
Oxford Martin School,
Ukri Ai4er Cdt, University Of Cambridge,
Compass Epsrc Cdt (University Of Bristol),
Proficient Ai,
Open Research Community Of Tanzania.
Epsrc Centre For Doctoral Training In Mathematics Of Random Systems's categories are Research Services
Epsrc Centre For Doctoral Training In Mathematics Of Random Systems's founding year is 2019
