Research Assistant/Associate: Integrated Urban-Infrastructure Spatial Decision Analytics and Visualisation - D189094R
 

Salary: £27,831 - £29,515 per annum (PhD Submitted - Assistant Level)
            £30,395 - £39,610 per annum (PhD Awarded - Associate Level)

Closing Date: 22 March 2019


We are seeking a dynamic and experienced researcher to develop an integrated urban infrastructure spatial decision support analytics and visualisation platform. You will work with an interdisciplinary group in the Newcastle Spatial Analytics and Modelling Lab (SAM@Newcastle) to integrate a suite of database management systems, simulation models and related analytics to deliver a spatial decision support visualisation platform for real-time decision making and long-term spatial planning of urban infrastructure. The ideal candidate will have experience in the development of spatial data visualisation software (for example, experience in WebGL, python visualisation packages (e.g., vispy)). Experience with Virtual Reality (VR) and/or Augmented Reaility (AR), and the use of gaming technology for visualisation purposes would be beneficial.

The appointee will be based in the recently established Spatial Analytics and Modelling Lab (SAM) and become a member of the Geomatics research group. You will work closely with a team of spatial data management, big data, cloud computing, spatial and infrastructure modelling experts. The post will provide an opportunity to work with the UKCRIC DAFNI facility (Data and Analytics Facility for National Infrastructure) run by the Science and Technology Facilities Council and engage with the Alan Turing national centre for data science.

This post is available fixed term for two years in the first instance. For informal enquiries please contact Professor Stuart Barr (stuart.barr@ncl.ac.uk )

For further information please follow the links: https://www.ncl.ac.uk/sam/
https://www.dafni.ac.uk/

The University holds a silver Athena SWAN award in recognition of our good employment practices for the advancement of gender equality.  The University also holds the HR Excellence in Research award for our work to support the career development of our researchers, and is a member of the Euraxess initiative supporting researchers in Europe.

Please be advised that due to the minimum salary threshold of £30,000 per annum imposed by the UKVI, this post may not qualify for University sponsorship under Tier 2 of the points based system.

Click here for further details

Newcastle University is committed to being a fully inclusive Global University which actively recruits, supports and retains staff from all sectors of society. We value diversity as well as celebrate, support and thrive on the contributions of all our employees and the community they represent. We are proud to be an equal opportunities employer and encourage applications from everybody, regardless of race, sex, ethnicity, religion, nationality, sexual orientation, age, disability, gender identity, marital status/civil partnership, pregnancy and maternity, as well as being open to flexible working practices
Faculty/Services
Faculty of Science, Agriculture & Engineering
Unit
Engineering
Sub Unit
Infrastructure
Staff Category
Research
Contract Type
Fixed Term
Hours of Work
Full Time
Location
Newcastle upon Tyne
 
Salary: £27,831 - £29,515 per annum (PhD Submitted - Assistant Level)
            £30,395 - £39,610 per annum (PhD Awarded - Associate Level)

Closing Date: 22 March 2019


We are seeking a dynamic and experienced researcher to develop an integrated urban infrastructure spatial decision support analytics and visualisation platform. You will work with an interdisciplinary group in the Newcastle Spatial Analytics and Modelling Lab (SAM@Newcastle) to integrate a suite of database management systems, simulation models and related analytics to deliver a spatial decision support visualisation platform for real-time decision making and long-term spatial planning of urban infrastructure. The ideal candidate will have experience in the development of spatial data visualisation software (for example, experience in WebGL, python visualisation packages (e.g., vispy)). Experience with Virtual Reality (VR) and/or Augmented Reaility (AR), and the use of gaming technology for visualisation purposes would be beneficial.

The appointee will be based in the recently established Spatial Analytics and Modelling Lab (SAM) and become a member of the Geomatics research group. You will work closely with a team of spatial data management, big data, cloud computing, spatial and infrastructure modelling experts. The post will provide an opportunity to work with the UKCRIC DAFNI facility (Data and Analytics Facility for National Infrastructure) run by the Science and Technology Facilities Council and engage with the Alan Turing national centre for data science.

This post is available fixed term for two years in the first instance. For informal enquiries please contact Professor Stuart Barr (stuart.barr@ncl.ac.uk )

For further information please follow the links: https://www.ncl.ac.uk/sam/
https://www.dafni.ac.uk/

The University holds a silver Athena SWAN award in recognition of our good employment practices for the advancement of gender equality.  The University also holds the HR Excellence in Research award for our work to support the career development of our researchers, and is a member of the Euraxess initiative supporting researchers in Europe.

Please be advised that due to the minimum salary threshold of £30,000 per annum imposed by the UKVI, this post may not qualify for University sponsorship under Tier 2 of the points based system.

Click here for further details

Newcastle University is committed to being a fully inclusive Global University which actively recruits, supports and retains staff from all sectors of society. We value diversity as well as celebrate, support and thrive on the contributions of all our employees and the community they represent. We are proud to be an equal opportunities employer and encourage applications from everybody, regardless of race, sex, ethnicity, religion, nationality, sexual orientation, age, disability, gender identity, marital status/civil partnership, pregnancy and maternity, as well as being open to flexible working practices