About SRIE
The Science Research in Industry Experience (SRIE) is a mentored research programme designed specifically for undergraduate mathematics students.
The team behind SRIE consists of a network of mathematics alumni from Cambridge and other universities, united by the desire to help mathematics students get acquainted with pressing science issues in industry.
Through real-world research projects designed and led by industry researchers, SRIE hopes to help students discover how they can make unique contributions based on their rigorous academic training, and accelerate their careers to leadership positions within their field of choice.
Research Streams
Deep-dive industry research led by founders and fellowship scholars for undergraduate mathematicians.
Stream A
AI Cyberdefense
Zainab Ali Majid, Alex Chan
MENTORS
OVERVIEW
This stream focuses on building realistic defensive cybersecurity benchmarks utilising data from Asymmetric Security's work on real-world incidents.
Existing cybersecurity benchmarks lack realism, rarely testing how models behave in realistic security scenarios. This is especially challenging in cybersecurity because most relevant data is private.
Asymmetric Security responds to real cyber incidents and therefore holds data not available in the public domain. We would like to work with scholars to build realistic benchmarks grounded in these real cyber incidents.
STREAM B
Cooperative AI
James Sykes, Sabína Gulčíková
MENTORS
OVERVIEW
Mentored by a PhD researcher in cooperative AI and former SPAR participant, alongside a software engineer with an academic background in machine learning and mathematical methods in computer science, including published research in automata theory, participants will experiment with networks of LLMs to explore when and why cooperation emerges in social dilemmas.
Stream C
Intelligent Agency
Ashe Vazquez Nuñez
MENTORS
OVERVIEW
This stream is broadly dedicated to the development of a formal, rigorous theory of intelligent agency. Such a theory would unify perception and action to understand beings that exchange information and resources with their environment. These theories would aim at explaining AI and human agency, as well as how these interact. Experiments on AI cognition that relate to conceptual work are well within scope.
Guest Speakers
Talks by leading academics and industry researchers to expose participants to impactful real world applications of mathematics.
guest speaker
Professor Po-Ling Loh
Department of Pure Mathematics and Mathematical Statistics | University of Cambridge
AFFILITATION
guest speaker
Sonja Tervola
AFFILITATION
PhD Researcher | University of Cambridge