The four-day free careers conference for Oxford University DPhils and Research Staff, Careers Beyond Academia: Options and Pathways for Researchers, returns in 2026. Join online panel discussions featuring PhD holders and former academic researchers now working across a range of industries, and attend in-person events exploring the current job market. The conference concludes with a careers fair, offering opportunities to connect with employers actively seeking to recruit researchers.
MATH+ is hiring two new Junior Research Group Leaders:
One position is in Statistical Learning: they are looking for a candidate to establish and lead a research group developing novel mathematical and statistical methodologies for modern data analysis. Details on requirements and how to apply.
Fixed term for 3 years from 28 September 2026 - St Anne's College
The JRF is open to those at an early stage of their academic career. You will either be in a fully-funded research position within a department of the University of Oxford, or possess a firm offer for such a position at the time of interview.
Join us on Friday 6 March as we celebrate International Women’s Day (8 March) with a special Applied Mathematics Colloquium by Anita Layton - “We are all different: Modelling key individual differences in physiological systems” (16:00 in L1).
All followed by Happy Hour and an interactive Research Poster Session in the Common Room.
So why not contribute a poster? Full details
Join us for a discussion of the ideas in x+y: a mathematician's manifesto for rethinking gender by Eugenia Cheng.
Wednesday 11 February, 2:30 pm in N3.12.
Sweet treats provided as always - bring your own hot drink. Summaries of the readings will be available through the email list and WhatsApp group early next week.
Decimitry Sciences is a UK–US company headquartered in Oxford, specialising in causal reasoning for enterprises, irrespective of data quality. Its technology merges causal inference, multidimensional data processing, predictive analysis, and novel mathematical models to deliver adaptive, human-level decision-making, even when data is limited or mostly nonexistent.