The successful applicant will undertake research as part of the Smarter Suffolk consortium (a Department for Transport project led by Suffolk County Council). Reporting to Professor Nicholas Caldwell, the Research Associate will be responsible for the day-to-day execution of the University of Suffolk’s contribution to the programme.
The University of Suffolk will be supporting the sensor-based work packages by providing scientific rigour to experiments to determine which sensors achieve the desired performance in specific environmental conditions, and generate data baselines. Related to this, will be research to discern intervention points to trigger adaptation of lighting levels, with the aim of increasing energy savings, providing longevity to the asset and improving the environment. A core workstream will be to assist in requirements elicitation, design, implementation and testing of a prototype dashboard and displays to provide visualisations of multidimensional data at multiple levels of granularity, supporting robust decision-making at strategic and tactical levels. A final element will be the examination of business cases and testing these to assess whether savings are real, income streams are meaningful and replicable, and also whether qualitative and quantitative benefits are realised by citizens.
Applicants will have (or be about to achieve) a PhD in computing, engineering design, information systems or some cognate discipline; knowledge and experience of software development; knowledge and experience in experimental research on IoT sensors and networks, knowledge and experience of databases and Big Data tools and techniques, knowledge and experience of quantitative and qualitative research; and flexibility to work within a research consortium. The ability to demonstrate self-motivation and time management skills to meet tight deadlines with limited supervision, are both essential.
For informal enquiries please telephone or email Professor Nicholas Caldwell (01473) 338609, email@example.com
Closing date: 15 July 2019
Interview date: 30 July 2019
We are actively committed to growing and supporting a diverse workforce and welcome applications from all backgrounds and communities. We particularly welcome applications from black and ethnic minority candidates and from candidates with a disability who are currently under-represented within our workforce.
We consider flexible working requests for all our vacancies.
How to apply:
- Read the Guidance Notes and Privacy Notice
- Fill in the Application Cover Sheet
- Fill in the Equal Opportunities Monitoring Form
- Attach a curriculum vitae and a covering letter setting out clearly how you meet the essential and desirable criteria for the post
EITHER return them as Word (.doc) or Rich Text Format (.rtf) attachments by email to firstname.lastname@example.org including the post title in the email subject heading
OR by post to:
The Human Resource Team
University of Suffolk
Ipswich IP4 1QJ
After submitting your application, if you have not heard from us before the interview date shown, please assume you have not been shortlisted for interview.
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