University of Oxford
The Analysis Affiliate – Geospatial Information Analytics will be a part of our dynamic analysis group throughout the Oxford Programme for Sustainable Infrastructure Techniques (OPSIS). You’ll present geospatial experience to allow us to advance our analysis, generate new analysis outcomes and supply worthwhile insights for decision-makers. Working with area specialists, you’ll entry revolutionary information sources, write code and produce evaluation and visualisations that help our analysis and influence actions.
For instance, you’ll work with quickly rising international datasets of infrastructure, together with databases of energy vegetation, highways, railways, ports, airports and flight schedules, cable connections, cell connectivity and huge dams, 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.
The post-holder will fulfil a wide range of duties as listed beneath. These will evolve with our portfolio of initiatives, so the post-holder will discover themselves working with completely different colleagues at completely different occasions and generally on a number of initiatives on the similar time. We anticipate that this can contain:
Researching, accessing and evaluating novel geospatial datasets. Creating revolutionary instruments to mix and clear a number of geospatial datasets associated to financial exercise and mix them to create novel datasets helpful for infrastructure sustainability and threat evaluation.
Contributing to a rising variety of worldwide initiatives which have utilized OPSIS’ software program instruments and analytics for sustainable and resilient infrastructure planning. Improvement of person interfaces and visualisation to allow use of our fashions and understanding of the outcomes.
Working with sector specialists in in infrastructure modelling to develop novel, strong analytical strategies and outcomes. Working with different researchers on cleansing and standardising large-scale spatial datasets that require combining data for various sources and throughout completely different information codecs.
The post-holder will report back to Tom Russell, who’s Senior Analysis Software program Engineer within the OPSIS group. They may 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 Maintain PhD/ DPhil (or be near completion) in geospatial information evaluation or a subject involving community evaluation, numerical modelling and/or threat evaluation for Grade 7; 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-about a Grade 6 with a commensurate adjustment in both the important standards, obligations or duties. Proficiency in the usage of a high-level programming language (e.g. Python). You should have glorious organisational, teamwork and communication abilities. A willingness to collaborate with others and work successfully as a member of a (generally distributed) group. Data and expertise of excellent follow in software program design and growth, together with testing, model management, steady integration, packaging, deployment. The flexibility to create a well-documented software program design; an organised strategy to structuring and commenting code.
There are 2 vacancies one for 12 months and the opposite for 18 months.
Purposes are significantly welcome and inspired from girls candidates and black and minority ethnic candidates who’re under-represented in educational posts in Oxford. SoGE is dedicated to equality and values variety.
Purposes 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 utility.
The deadline for purposes is 12 midday on 12 April 2024, interview will happen week commencing 22 or 29 April 2024
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