Science Research in Industry Experience Programme (SRIE)
Empowering undergraduate mathematicians through industry research.
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.
Digital Minds Primer
Julia Bossmann
MENTORS
OVERVIEW
AI systems increasingly exhibit behaviors we associate with minds: preferences, avoidance, state-dependent responses, apparent distress under adversarial conditions. This raises questions that cut across several disciplines, and right now, no single resource brings them together.
This project develops a Digital Minds Primer: an interdisciplinary resource organised around that question: what would constitute harm to an AI system, and how would we recognize it?
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.
LLM Behaviour and Measurement/Cooperative AI
MENTORS
Bilel Hatmi
OVERVIEW
AI systems increasingly exhibit behaviors we associate with minds: preferences, avoidance, state-dependent responses, apparent distress under adversarial conditions. This raises questions that cut across several disciplines, and right now, no single resource brings them together.
This project develops a Digital Minds Primer: an interdisciplinary resource organised around that question: what would constitute harm to an AI system, and how would we recognize it?
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
Dr Eiko Yoneki
Computer Laboratory, Systems Research Group | University of Cambridge
AFFILITATION
guest speaker
Bilel Hatmi
AFFILITATION
Ex-Eleven Strategy
Part III Mathematical Statistics Graduate| DPMMS, University of Cambridge
guest speaker
Sonja Tervola
AFFILITATION
PhD Researcher | University of Cambridge
Our Advisors
We are honoured to be advised by
Advisor
Julia Bossmann
Director of Research and Strategy | Sentient Futures
AFFILITATION