Research Associate in Mathematics

Job title:

Research Associate in Mathematics

Company

University of Manchester

Job description

Closing date for applications: 2nd September.Interviews: 13th September.Please apply via the following link:We invite applications for Post-Doctoral Research Associate positions to join the Prob_AI Hub. The vision of the Prob_AI hub is to develop a world-leading, diverse and UK-wide research pro- gramme in probabilistic AI. The hub will develop the next generation of mathematically-rigorous, scalable and uncertainty-aware AI algorithms. This will be achieved through: bringing together world-leading researchers across Applied Mathematics, Computer Science, Probability and Statistics, who engage with a range of non- academic partners; transforming the people pipeline; and producing a culture change within the mathematical sciences more broadly, so that cross-disciplinary mathematics research in AI is the norm.This £8.5M programme is funded by EPSRC and brings together research groups from the Universities of Lancaster, Bristol, Cambridge, Edinburgh, Manchester and Warwick. There is a 3 year position available at each of these six institutions. (This advert relates to five of these positions, with a separate recruitment process for the PDRA position at the University of Cambridge.) Interaction between the research groups at the six universities will be strongly encouraged and resourced, with broad research projects to involve substantial cross-institutional collaborations.You should have, or be close to completing, a PhD in Mathematics, Statistics, Machine Learning or a related discipline. The Prob_AI Hub’s research programme involves developing mathematical understanding of AI that will lead to more reliable, interpretable and uncertainty aware AI methods. We are keen to encourage applications from anyone with the mathematical skills needed to undertake such research. Experience working in AI, whilst desirable, is not required. Relevant mathematical background includes, but is not limited to: Bayesian statistics, computational statistics, inverse problems, numerical analysis, probability, statistical machine learning, stochastic analysis and uncertainty quantification. See for further details of the specific mathematical skills required for each position. You will have demonstrated the ability to develop either new methodology or new mathematical understanding. We are particularly keen to encourage applicants with strong computational skills, and are looking to put together a team of researchers with broad skills that cover relevant areas of mathematics, statistics, machine learning and AI. A demonstrable ability to produce academic writing of the highest publishable quality is essential.The application process for these five positions is being administered by Lancaster University. Applicants need only apply once regardless of whether they want to be considered for just one to all five of the positions. For details of the different research themes being led from each university see . Applicants can be considered for as many of the positions as they wish, and we encourage applications to multiple positions: Please ensure you state clearly which position or positions you wish to be considered for when applying, and explain how your research background is relevant for the specific positions and research themes you are interested in.These are full-time positions, though we will consider applicants requesting part-time or other flexible working arrangements. We welcome applications from people in all diversity groups.Candidates who are considering making an application are strongly encouraged to contact Paul Fearnhead ( ), Anthony Lee ( ), Catherine Powell ( ), Gareth Roberts ( ), or Aretha Teckentrup ( ) to discuss the programme in greater detail.What you will get in return:

• Fantastic market leading Pension scheme
• Excellent employee health and wellbeing services including an Employee Assistance Programme
• Exceptional starting annual leave entitlement, plus bank holidays
• Additional paid closure over the Christmas period
• Local and national discounts at a range of major retailers

As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.Our University is positive about flexible working – you can find out moreHybrid working arrangements may be considered.Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.Any recruitment enquiries from recruitment agencies should be directed to .Any CV’s submitted by a recruitment agency will be considered a gift.Enquiries about the vacancy, shortlisting and interviews:Name: Catherine PowellEmail: Catherine.Powell@manchester.ac.ukGeneral enquiries:Email:Technical support:This vacancy will close for applications at midnight on the closing date.Please see the link below for the Further Particulars document which contains the person specification criteria.

Expected salary

Location

Manchester

Job date

Sat, 17 Aug 2024 02:59:13 GMT

To help us track our recruitment effort, please indicate in your email/cover letter where (globalvacancies.org) you saw this job posting.