University of Oxford
Job title:
Analysis Affiliate – Infrastructure Resilience Analytics
Firm
College of Oxford
Job description
Analysis Affiliate – Infrastructure Resilience AnalyticsThe brand new Analysis Affiliate (Infrastructure Threat Analytics) will assist advance our analysis on international infrastructure networks and the implications of failure for provide chains and the economic system. This may embrace transport infrastructure and might also embrace energy and water provide infrastructure. You’ll work with the quickly rising international datasets of infrastructure, together with multi-sector, multi-region financial datasets. Alongside this, you’ll make use of worldwide financial and inhabitants situations and datasets of worldwide manufacturing websites and provide chains which you’ll affiliate with infrastructure networks. You’ll advance our strategies for inferring connectivity, interdependence and attribute customers to the belongings. You’ll quantify hotspots of infrastructure vulnerability and compute quite a lot of metrics of danger, to supply a platform for testing potential disruption situations, for instance resulting from excessive occasions, and their propagation although international energy networks. You may be concerned in assembling and creating novel knowledge on a variety of various pure hazards and infrastructure networks. The emphasis might be upon (i) utilized methodological growth (ii) technology of recent insights concerning the vulnerability of real-world networks (iii) evaluation of choices for community adaptation to reinforce resilience and (iv) exploration of uncertainties and sensitivities. These strategies might be utilized in international locations anyplace on the earth and at a worldwide scale.The post-holder will report back to Dr Raghav Pant, who’s Senior Analysis Affiliate inside the Oxford Programme for Sustainable Infrastructure Methods (OPSIS), which is led by Professor Jim Corridor. They can even work together with researchers in different teams in Oxford, different UK universities and internationally, with whom we’re collaborating.The profitable candidate ought to possess a Holds PhD (or be near completion) or equal expertise in engineering or a subject involving community evaluation, numerical modelling and/or danger evaluation or maintain educational {qualifications} (ideally related Grasp’s diploma or working in direction of a PhD/ DPhil) and an in depth information of the topic space to be thought of a Grade 6 with a commensurate adjustment in both the important standards, obligations or duties. You should have glorious communication and interpersonal abilities. A willingness to collaborate with others and work successfully as a member of a (typically distributed) group. Expertise utilizing a high-level programming language (e.g. Python) for scientific programming and/or spatial knowledge evaluation. Consciousness of, and curiosity in growing, good apply in software program design and growth, together with testing, model management, design and documentation. You should have functionality to mannequin the financial impacts of systemic disruption. Eager curiosity within the sustainability and resilience of infrastructure methods.There are 2 vacancies one for 12 months and the opposite for 18 months.Functions are significantly welcome and inspired from ladies candidates and black and minority ethnic candidates who’re under-represented in educational posts in Oxford. SoGE is dedicated to equality and values variety.Functions for this emptiness are to be made on-line. You may be required to add a CV and supporting assertion as a part of your on-line software.The time limit for functions is 12 midday on 12 April 2024, interview will happen week commencing 22 or 29 April 2024.
Contact Individual : HR Assistant Emptiness ID : 171231
Contact Telephone : Closing Date & Time : 12-Apr-2024 12:00
Pay Scale : STANDARD GRADE 7 Contact E-mail :
Anticipated wage
Location
Oxford
Job date
Sat, 23 Mar 2024 03:43:26 GMT
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