Additional Information: there are two Academic Associate posts available. Each post is 5-years part-time, 18.5 hours per week. Each is associated with a fully-funded part-time (5 year) PhD position with the same time commitment. Salary is pro-rata.
We are seeking to appoint two enthusiastic and talented Academic Associates to contribute to research and teaching in the Mathematics Team at Nottingham Trent University. The Academic Associate posts are part-time (0.5 FTE) and, in addition, you will be required to register for a part-time, fully-funded PhD for the duration of the 5-year post. The PhD is not part of the Academic Associate position. Part-time PhD fees will be paid by the Department for 5 years. Most of the required teaching will be in the form of seminars and tutorials. The associated PhD project will be on one of the following topics:
Wave energy transport through composite built-up structures.
Scattering and recurrence of periodic waves in a channel with variable depth.
An intelligent Bayesian pixel classification method for sequential analysis of multispectral images.
The mathematics of designer materials and applications to the theory of nematic liquid crystals.
Revolutionizing landslide-tsunami prediction with advanced machine learning techniques.
Graphic theoretic approaches to quantum error correction and algorithms.
Dynamics on spatially constrained brain networks.
Further details on each of these topics, supervisors and their contact details are provided in a separate attachment.
Nottingham Trent University is renowned for cutting-edge research, strong links with industry and its excellent teaching that shapes lives and society. Recent years have been full of success, including our receipt of the prestigious University of the Year award by the Times Higher Education Supplement in 2017. Along the way, we've achieved the TEF gold standard for the quality of our teaching and are also extremely proud to have been named Modern University of the Year in the Times and Sunday Times Good University Guide 2018 and Guardian University of the Year 2019.
Research in the School of Science and Technology is extremely strong in terms of high-quality outputs, funding income, and international impact. For example, our work on X-Ray imaging systems for airport security was recognised by a recent Queen's Award for Higher Education. A key strength of the School is its collegial, multi-disciplinary approach with mathematicians, scientists and engineers collaborating extensively. The Mathematics Team's existing multi-disciplinary research strengths concern mathematical applications in the biomedical and life sciences, engineering, computing and industry, and include: biomathematics and computational biology; industrial mathematics; mathematical modelling and numerical analysis; deep learning and biomedical image analysis; and quantum information science see https://www.ntu.ac.uk/research/subject-areas/mathematical-sciences for more details.
Please submit a single document to include a full CV and a Covering Letter addressing your suitability for the Academic Associate role outlined in the associated Job Description and Person Specification. Additionally, in your Covering Letter please specify the associated PhD project you would prefer to undertake and why. If the 1MB file size restriction makes this difficult or impossible, please email all your supporting documentation to Resourcing@ntu.ac.uk.
If you have any specific queries in relation to the individual PhD projects, please contact potential supervisors.
If you have more general enquires, please contact
Dr Christian Beardah, Head of Department, Physics and Mathematics on +44 (0)115 848 8415, or via email email@example.com.
This role does not meet the minimum requirements set by UK Visas & Immigration to enable sponsorship of migrant workers. Therefore, we cannot progress applications from candidates who require sponsorship to work in the UK.
NTU do not currently support part time study under a Tier 4 Visa. International Students are welcome to apply for full-time PhD's.
Closing date: Sunday 1st March 2020
Interview date: week commencing 16th or 23rd March 2020