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Design and evaluation of interfaces to aid stakeholder understandings of data


Project Description

Applications are invited for a fully-funded Psychology PhD studentship available from April 2019 to research the design and evaluation of interfaces to aid stakeholders engage in data around water pollution. There will be opportunities during the PhD for secondment to our project partners.

Background
This PhD is an exciting opportunity to work alongside a multidisciplinary team developing early warning systems by analysing water content.

The PhD place would suit someone with a Psychology, Cognitive Science or Human Computer Interaction background. The PhD focus will be on the design and evaluation of interfaces to support different stakeholders in interpreting data. An appreciation of quantitative and qualitative methods would be desirable.

This is an exciting research opportunity running alongside a larger multi disciplinary collaborative project team. The RENEW project (Developing Resilient Nations - Towards a Public Heath Early Warning System via Urban Water Profiling) is funded by the EPSRC Global Challenges Research Fund. The aim of the project is to characterise the potential for waste water ‘finger printing’ to signal public health issues and to develop novel low cost biosensors for real-time monitoring of public health indicators in urban water. Through routine sampling of surface water, a broad range of indicators (biomarkers), such as antibiotics (and other pharmaceuticals), antibiotic resistance genes, indicators of infection, bio-markers for communicable diseases, pesticides, and illicit drugs are being monitored. ReNEW is committed to engaging with a broad range of stakeholders (such as municipalities, policy makers, health care providers, industries, and communities) to guide efforts towards optimizing indicators that are appropriate for the region, and to help us understand how to best implement this promising approach. The ReNEW project is a collaborative project with Stellenbosch University in South Africa. The PhD research can be based in the UK but there would also be opportunities to study the South African context.

The Project
The PhD project would involve developing methods for identifying the most important data to collect and display and articulating the contextual factors that affect interpretation and understanding of the data. As we prototype how this data should be displayed for optimal use by different groups, the ethical issues that need to be considered will be identified.
Over the last few years the university has made substantial investments to infrastructure including multi-million pound state-of-the art facilities for the Psychology department. A couple of years ago the department moved into a dedicated building which consists of eleven labs (including an EEG lab; a cross modal lab; a VR facility and an HCI lab: the CREATE Lab).

Applicant criteria
Applicants should:
• Fulfil the entrance requirements for a Department for Psychology PhD (http://www.bath.ac.uk/study/pg/programmes/mphi-psyc/)
• Have expertise in a range of quantitative and qualitative research methods.

You will have a background in Psychology, Cognitive Science or Human Computer Interaction. Experience of both quantitative and qualitative methods and enthusiasm to collaborate with the broader project team.

The preferred start date is 1 April 2019.

Interviews are due to take place on 15th March 2019.

To apply please follow this link: https://samis.bath.ac.uk/urd/sits.urd/run/siw_ipp_lgn.login?process=siw_ipp_app&code1=RDUPS-FP01&code2=0013



Funding Notes

The award is available for up to 3 years (subject to continued satisfactory progress) and will include tuition fees at the Home/EU rate, an annual stipend of £14,777 (2018/19 rate, liable to increase in 2019/20 and 2020/21) and a Training Support Fee of £1000 per annum.

Related Subjects

How good is research at University of Bath in Allied Health Professions, Dentistry, Nursing and Pharmacy?

FTE Category A staff submitted: 54.20

Research output data provided by the Research Excellence Framework (REF)

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