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Job profile
The job requirements are detailed below. Where applicable the skills, qualifications and memberships required for this job have also been included.
Please note, all our adverts close at 23:59 on the date specified unless stated otherwise in the advert text.
Job details
Job details
Job reference
P68894
Date posted
29/08/2019
Application closing date
26/09/2019
Location
Exeter
Salary
The starting salary will be from £35,845 up to £40,322 on Grade F, depending on qualifications and experience.
Package
Generous holiday allowances, flexible working, pension scheme and relocation package (if applicable).
Contractual hours
Blank
Basis
Blank
Job category/type
Academic
Attachments
Blank
Postdoctoral Research Fellow on Statistical Evaluation of Windstorm Footprints
Job description
College of Engineering, Mathematics and Physical Sciences
This full time, 20 month fixed term post is available immediately to work alongside Prof.
David Stephenson and Dr. Ben Youngman in the NERC-funded BigFoot project.
Summary of the role
The BigFoot (BIG data methods for improving windstorm FOOTprint prediction) project is exploring how alternative
unconventional big data sources, such as weather observations made by amateurs, social media comments, and video CCTV recordings, can be used to improve estimation of windstorm footprints (spatial maps of maximum wind gust speed of great relevance to natural hazard risk quantification and insurance).
The post will develop new statistical approaches for the comparative evaluation of windstorm footprints, and will critically test the methods on footprints that have been produced in the project using novel spatio-temporal statistical approaches. The successful applicant will work under the guidance of Prof. David Stephenson and Dr. Ben Youngman, collaborating strongly with the three other fellows in the project, and with stakeholders in the insurance industry, such as Willis Towers Watson.
Applicants will possess a relevant PhD, or equivalent, and be able to demonstrate sufficient knowledge in the discipline to work within established research programmes. They will also need to be able to present information on research progress and outcomes, communicate complex information, orally, in writing and electronically. The successful applicant should have experience of developing and programming statistical models (e.g. in R/Python/Matlab).
You can view the
Job Description and Person Specification document here.
The University of Exeter
We are a member of the prestigious Russell Group of research-intensive universities and in the top 150 universities in the world (Times Higher Education World University Rankings 2019). We combine world-class teaching with world-class research, achieving a Gold rating in the Teaching Excellence Framework Award 2017.
Our research income in recent years means we're fastest growing UK Research University and we seek to answer some of the most fundamental issues facing humankind today through this. 98% of our research is international quality (2014 Research Excellence Framework) and we encourage proactive engagement with industry, business and community partners to enhance the impact of research and education and improve the employability of our students.
With over 22,000 students and 5,500 staff from 180 different countries we offer a diverse and engaging environment in which to work. We are an equal opportunity employer, 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.
Benefits
We offer some fantastic benefits including:
41 days leave per year
options for flexible working
numerous discounts at leading retailers
onsite gyms on all of our campus' and a cycle to work scheme
sector leading policies around maternity, adoption and shared parental leave (up to 26 weeks full pay), paternity leave (up to six weeks full pay) and a new Fertility Treatment Policy
stunning campus environments in Exeter and Cornwall, in the beautiful South West of England
The Departments of Mathematics and Computer Science have a Silver Athena SWAN award as a commitment to providing equality of opportunity and advancing the representation of women in STEM/M subjects.
Further information
For further information please contact Prof. David Stephenson (Director of Exeter Climate Systems, d.b.stephenson@exeter.ac.uk) or Dr. Ben Youngman (b.youngman@exeter.ac.uk).
We welcome applications from candidates interested in working part-time hours or job-sharing arrangements.
Job title
Postdoctoral Research Fellow on Statistical Evaluation of Windstorm Footprints
Job reference
P68894
Date posted
29/08/2019
Application closing date
26/09/2019
Location
Exeter
Salary
The starting salary will be from £35,845 up to £40,322 on Grade F, depending on qualifications and experience.
Package
Generous holiday allowances, flexible working, pension scheme and relocation package (if applicable).
Contractual hours
Blank
Basis
Blank
Job category/type
Academic
Attachments
Blank
Job description
College of Engineering, Mathematics and Physical Sciences
This full time, 20 month fixed term post is available immediately to work alongside Prof.
David Stephenson and Dr. Ben Youngman in the NERC-funded BigFoot project.
Summary of the role
The BigFoot (BIG data methods for improving windstorm FOOTprint prediction) project is exploring how alternative
unconventional big data sources, such as weather observations made by amateurs, social media comments, and video CCTV recordings, can be used to improve estimation of windstorm footprints (spatial maps of maximum wind gust speed of great relevance to natural hazard risk quantification and insurance).
The post will develop new statistical approaches for the comparative evaluation of windstorm footprints, and will critically test the methods on footprints that have been produced in the project using novel spatio-temporal statistical approaches. The successful applicant will work under the guidance of Prof. David Stephenson and Dr. Ben Youngman, collaborating strongly with the three other fellows in the project, and with stakeholders in the insurance industry, such as Willis Towers Watson.
Applicants will possess a relevant PhD, or equivalent, and be able to demonstrate sufficient knowledge in the discipline to work within established research programmes. They will also need to be able to present information on research progress and outcomes, communicate complex information, orally, in writing and electronically. The successful applicant should have experience of developing and programming statistical models (e.g. in R/Python/Matlab).
You can view the
Job Description and Person Specification document here.
The University of Exeter
We are a member of the prestigious Russell Group of research-intensive universities and in the top 150 universities in the world (Times Higher Education World University Rankings 2019). We combine world-class teaching with world-class research, achieving a Gold rating in the Teaching Excellence Framework Award 2017.
Our research income in recent years means we're fastest growing UK Research University and we seek to answer some of the most fundamental issues facing humankind today through this. 98% of our research is international quality (2014 Research Excellence Framework) and we encourage proactive engagement with industry, business and community partners to enhance the impact of research and education and improve the employability of our students.
With over 22,000 students and 5,500 staff from 180 different countries we offer a diverse and engaging environment in which to work. We are an equal opportunity employer, 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.
Benefits
We offer some fantastic benefits including:
41 days leave per year
options for flexible working
numerous discounts at leading retailers
onsite gyms on all of our campus' and a cycle to work scheme
sector leading policies around maternity, adoption and shared parental leave (up to 26 weeks full pay), paternity leave (up to six weeks full pay) and a new Fertility Treatment Policy
stunning campus environments in Exeter and Cornwall, in the beautiful South West of England
The Departments of Mathematics and Computer Science have a Silver Athena SWAN award as a commitment to providing equality of opportunity and advancing the representation of women in STEM/M subjects.
Further information
For further information please contact Prof. David Stephenson (Director of Exeter Climate Systems, d.b.stephenson@exeter.ac.uk) or Dr. Ben Youngman (b.youngman@exeter.ac.uk).
We welcome applications from candidates interested in working part-time hours or job-sharing arrangements.