University of Exeter
Postdoctoral Research Fellow - Models for marine & atmospheric optics
University of Exeter
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Published: 1 month ago
Application deadline: Jun 25
Location: Devon, United Kingdom
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Postdoctoral Research Fellow - Models for marine & atmospheric optics

College of Engineering, Mathematics and Physical Sciences

EPSRC Prosperity Partnership: Tailored Electromagnetic & Acoustic Materials Accelerator (TEAM-A)

The post

The College of Engineering, Mathematics and Physical Sciences wishes to recruit a Postdoctoral Research Fellow to support the work of Dr Jacqueline Christmas. This post is available immediately for a period of 3 years. The successful applicant will join TEAM-A ( The tailored electromagnetic and acoustic materials accelerator, an EPSRC Prosperity Partnership programme. The aim of this partnership, which builds upon the successful relationship that exists between the University of Exeter and QinetiQ, is to develop advanced materials that can be used to control and manipulate the propagation of electromagnetic and acoustic energy, in a highly tailored, bespoke fashion, and develop innovative techniques for their cost-effective manufacture.

You will possess expertise and experience in machine learning, modelling, image processing and simulation, but due to the nature of the work that QinetiQ is involved with, applicants will need to obtain a security clearance (to be arranged by QinetiQ). For this reason, we have need to limit applicants to UK nationals who have resided in the UK for at least the past 5 years. We apologise if this means you are no longer eligible to apply; however, access to QinetiQ's facilities requires UK nationality and we are unable to make exceptions.

Initially this post will consist of theory and simulation work, with later stages of model development and field-based trials. Working closely with QinetiQ's unique facilities the role holder will be - amongst other tasks - working to create transmission filters that simulate long-path atmospheric propagation for thermal and visible imagers. Here the role holder will ideally have a background in computer science, particularly in statistical machine learning techniques and efficient evolutionary optimisation approaches. This role holder will be closely linked to a TEAM-A QinetiQ based Postdoctoral Researcher throughout the stages of model development.

The successful applicant will be able to present information on research progress and outcomes, communicate complex information, orally, in writing and electronically and prepare proposals and applications to external bodies.

About you

Applicants will possess a relevant PhD and be able to demonstrate sufficient knowledge in the discipline and of research methods and techniques to work within established research programmes.  At Postdoctoral Research Fellow level, the successful applicant will be a nationally recognised authority in a field of related research. The successful applicant will also be able to work collaboratively, supervise the work of others and act as team leader as required.

To view the Job Description and Person Specification document please click here.

Interviews are anticipated to take place the w/c 23rd July 2018

Before submitting an application you may wish to discuss the post further by contacting Dr Jacqueline Christmas, telephone 01392 723039 or email

The University of Exeter is an equal opportunity employer.  We are officially recognised as a Disability Confident employer and an Athena Swan accredited institution.  Whilst all applicants will be judged on merit alone, we particularly welcome applications from groups currently underrepresented in the workforce.

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University of Exeter
University of Exeter
Location: Devon, United Kingdom
[Multi-scale PEEK investigations into a novel Free Form Fabrication (FFF) process], [Material Science, Mechanical Engineering, General Engineering] – MPhil/PhD (Funded)
About the Award The University of Exeter’s College of Engineering, Mathematics and Physical Sciences, in partnership with Bond High Performance 3D Technology, is inviting applications for a fully-funded PhD studentship to commence July 2018 or as soon as possible...