Research associate in Urban Analytics and Modelling

Research associate in Urban Analytics and Modelling Newcastle upon Tyne, England

Newcastle University
Full Time Newcastle upon Tyne, England 33348 - 41931 GBP ANNUAL Today
Job description

Salary: £33,348 to £41,931 per annum

Newcastle University is a great place to work, with excellent benefits . We have a generous holiday package; plus the opportunity to buy more, great pension schemes and a number of health and wellbeing initiatives to support you.

Closing Date: 02 July 2023

The Role

The School of Engineering at Newcastle University are seeking to appoint a research professional to join the Geospatial Data, Analytics and Modelling team working on the development and application of urban analytics and modelling. The post will involve the further development of key computer models that support the Newcastle Urban Integrated Assessment Framework (UIAF); a suite of models that have been extensively utilised in climate impact research, infrastructure systems assessment and urban sustainability studies.

The successful candidate will have experience of academic research and collaborative projects, with expert knowledge of urban analytics and modelling particularly in the use of geospatial data and methods.

You should hold a PhD (or nearing completion) in the field of urban analytics and modelling and/or geospatial data science or a closely related discipline. You should have a strong publication record and experience of presenting at international conferences. Experience of working with industry and government stakeholders and partners is highly desirable.

The Geospatial Data, Analytics and Modelling Group focuses on the use of geospatial data, analytics and modelling to urban and infrastructure systems research and applications; ranging from real-time data analytics through to decadal urban and infrastructure systems planning.

We are committed to building and maintaining a fair and inclusive working environment and we would be happy to discuss arrangements for flexible and/or blended working.

The appointment is fixed-term, tenable for 12 months in the first instance. The position is available on a full-time basis (37 hours per week).

To apply , please complete an online application and upload a CV and cover letter. Your cover letter is a supporting statement, and you should outline how you meet the essential criteria of the role and evidence this with examples.

For informal queries regarding the role or the project, please contact Stuart Barr, Professor of Geospatial Systems Engineering, at: [email protected]

Key Accountabilities
To design, implement and maintain modelling software
To liaise with the principal investigator to plan, organise and carry out the research work programme
To disseminate research results through high-quality academic journals
To contribute to existing and new interdisciplinary collaborations
Contribute to learning and development via documentation and training
Undertake relevant training and development activities to address professional development needs
Maintain and develop knowledge of the latest research advances
Any other duties within the scope and general nature of the grade which may be required

The Person

Knowledge, Skills and Experience
Knowledge of urban analytics and simulation modelling
Knowledge of geospatial data analytics and modelling approaches
Knowledge of modern geospatial data management
The ability to design, implement and test computational models
Experience in the software model development using python and/or C/C++
Experience of working with RESTful APIs
A strong publication portfolio showing evidence of work with an increasing impact in your field and/or discipline, evidence of high-quality journal publications and internationally recognised papers
Desirable
Experience of developing Cellular Automata (CA) and/or agent-based models of urban/infrastructure systems
Experience of developing and deploying containerised software solutions

Attributes and Behaviour
Strong interpersonal and team-working skills
High level of analytical and problem-solving capacity
Evidence of development effective working relationships and exhibiting strong networking skills to support collaboration
Demonstrable experience of working in a multidisciplinary team environment and actively supporting the development of a collaborative research culture
Communicates complex information clearly and adapts communication styles to suit the audience
Professional approach with a commitment to equality, diversity, dignity, and respect in the workplace

Qualifications
PhD awarded (or nearing completion) within the area of urban analytics and modelling or a closely related field
Desirable
Evidence of formal software engineering training/CPD

Newcastle University is a global University where everyone is treated with dignity and respect. As a University of Sanctuary, we aim to provide a welcoming place of safety for all, offering opportunities to people fleeing violence and persecution.

We are committed to being a fully inclusive university which actively recruits, supports and retains colleagues from all sectors of society. We value diversity as well as celebrate, support and thrive on the contributions of all of our employees and the communities they represent. We are proud to be an equal opportunities employer and encourage applications from individuals who can complement our existing teams, we believe that success is built on having teams whose backgrounds and experiences reflect the diversity of our university and student population.

At Newcastle University we hold a silver Athena Swan award in recognition of our good employment practices for the advancement of gender equality. We also hold a Race Equality Charter Bronze award in recognition of our work towards tackling race inequality in higher education REC.

In addition, we are a member of the Euraxess initiative supporting researchers in Europe.
Requisition ID: 25575

Research associate in Urban Analytics and Modelling
Newcastle University

www.ncl.ac.uk
Newcastle, United Kingdom
Sir Liam Donaldson
$500 million to $1 billion (USD)
1001 to 5000 Employees
College / University
Colleges & Universities
Education
1963
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