Postdoctoral Research Fellow in Statistics

University of Plymouth

Plymouth, United Kingdom

Application Deadline
£36,386 to £42,155

A unique opportunity to work on a cutting-edge and exciting research project

Based in the Faculty of Science and Engineering, the School of Engineering, Computing and Mathematics is a friendly, creative and inspiring place to study and covers the subject areas of civil and coastal engineering, computing, electrical and electronic engineering and robotics, mathematical sciences, mechanical, marine and materials engineering, and navigation and maritime science. With many internationally recognised experts, our teaching staff are passionate about providing an innovative and inspiring learning experience. The School hosts the Marine Building, home to the world-class Coastal, Ocean and Sediment Transport (COAST) Laboratory, amongst many other facilities. The School is a collaborative and interdisciplinary community of world-leading academics and researchers focused upon the creation of knowledge and innovative solutions that have a positive impact upon society. We have an extensive portfolio of research from offshore renewable energy, coastal engineering and robotics to cybersecurity, artificial intelligence, and data science. The School holds an Athena SWAN Bronze award demonstrating the University’s ongoing commitment to advancing gender equality and success for all.

Applications are invited from outstanding individuals for a Postdoctoral Research Fellow in Statistics.

You will undertake research in order to contribute to and support work on a grant funded EPSRC project ‘Dependence Modelling with Vine Copulas for the Integration of Unstructured and Structured Data’.

This project aims at developing cutting-edge vine copula methodology to model the dependence structure between various types of variables derived by structured and unstructured information. This research will also involve designing a novel Bayesian methodology and related computational framework for vine copula modelling.

The University of Plymouth has a strong interdisciplinary research ethos which is supported by our three strategic Research Institutes: the Marine Institute, the Sustainable Earth Institute, and the Plymouth Institute of Health and Care Research. As a member of our academic community, you’ll be expected to contribute to our recognised research strengths. Working holistically across the University, you will be challenged to innovate, collaborate and deliver impactful research contributions as part of a systems thinking approach to addressing today’s global challenges.

Areas of research include: copula modelling, Bayesian inference, MCMC methods, and time series analysis. The candidate must have a solid background in at least one of these areas, or in a closely related field, and a willingness and ability to develop forefront knowledge across a range of them.

You will have a PhD or approaching PhD completion in statistics, mathematics, physics, data science or an alternative field with a strong mathematical and statistical background. You will be an experienced team worker and will be accustomed to working to deadlines. You will be able to prioritise and self-manage, and will have excellent verbal and written communication skills.

For an informal discussion to find out more about the role then please contact Dr Luciana Dalla Valle by email or by telephone on 01752 586319.

Closing Date: 12 Midnight, Sunday 16th October 2022

Interviews are likely to take place on the week commencing the 7th November 2022.

This is a full-time position working 37 hours per week on a fixed-term basis for a period of 6 months due to funding.

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