Two 3-year Postdoctoral Research Associate positions within the OCEAN project Coventry
Job description
Offer Description Two fixed term, full-time s of 36 months available. Start date to be agreed with the successful candidates. We invite applications for Postdoctoral Research Associates to join the OCEAN project (On intelligenCE And Networks: Mathematical and Algorithmic Foundations for Multi-Agent Decision-Making). This timely project will develop statistical and algorithmic foundations for systems involving multiple incentive-driven learning and decision-making agents, including uncertainty quantification at the agent's level. The project will bring together ideas from Statistics, Probability, Machine Learning, Statistics and Game Theory and is an ambitious 10M Euro project funded by ERC (UK component from the UKRI funding guarantee), and led by 4PIs: Gareth Roberts (Warwick), Eric Moulines (Ecole Polytechnique), Christian Robert (Dauphine) and Michael Jordan (Berkeley). We are seeking to recruit two Research Fellows to join the team of investigators led by Gareth Roberts. The successful applicants will be based at Warwick but expected to work alongside other researchers from Roberts's team (including Adam Johansen at Warwick, Murray Pollock and Hongsheng Dai at Newcastle University, and Louis Aslett at Durham University), as well as researchers from the teams in Paris and Berkeley. They will participate in the many collaborative activities of OCEAN, while also enjoying the vibrant research environment of the Warwick Computational Statistics group. We encourage applications in all areas of the theory, methodology and applications of Computational Statistics or Machine Learning. Previous knowledge of statistical privacy, distributed inference, and/or game theory would be useful, but are not expected. You should have, or be close to completing, a PhD in Statistics, Probability, Machine Learning or a related discipline. You will work directly with the investigators to undertake and support research necessary to achieve the aims within this grant. This will include, for example, publishing in leading methodological/application journals, presentation of research at workshops and conferences, developing code implementing new statistical methods, and active involvement in project meetings. You will be experienced in one or more of the following areas: Statistics, Computational Statistics, Theory and methodology of Stochastic Algorithms, High-Performance Computing, and Machine Learning. You will have demonstrated the ability to develop new statistical or machine learning methodology. We are particularly keen to encourage applicants with strong computational skills, as part of a team of researchers with skills that cover theoretical, methodological, and applied statistics. A demonstrable ability to produce academic writing of the highest publishable quality is essential. Candidates who are considering making an application are strongly encouraged to contact Professor Gareth Roberts ( ). Applicants should ensure that two referees send a letter of reference to (Lynn McLean, Resources Assistant, Department of Statistics) by the closing date: 3 August 2023. If you have not yet been awarded your PhD but are near submission or have recently submitted your PhD, any offers of employment will be made as Research Assistant on level 5 of the University grade structure (£32,411 p.a.). Upon successful award of your PhD and evidence of this fact, you will be promoted to Research Fellow on the first point of level 6 of the University grade structure (£33,348 p.a.). Interview Date: TBC. Requirements Research Field Mathematics » Statistics Education Level PhD or equivalent Research Field Computer science » Informatics Education Level PhD or equivalent Languages ENGLISH Level Excellent Research Field Mathematics » StatisticsComputer science » Informatics Additional Information Work Location(s) Number of offers available 2 Company/Institute University of Warwick Country United Kingdom Geofield Where to apply Website Contact City Coventry Website Postal Code CV4 7AL STATUS: EXPIRED EURAXESS
