AHRC PhD studentship: Data-driven climate change risk assessment for heritage in England

We are looking for someone to join our team to undertake a PhD research project that will deepen our understanding of the risks posed by climate change to heritage in England.

Key information

Supervisors

• Dr Scott Allan Orr, UCL ISH
• Dr Hannah Fluck, Historic England
• Dr Valentina Marincioni, UCL IEDE
• Neil Guiden, Historic England

We are an interdisciplinary team who are passionate about the opportunities provided by data science for managing heritage in the complex and rapidly changing context of climate change.

Dates

1 October 2022 start (4-years full time or 8-years part time)

Industry collaborator

Historic England, the public body that helps people care for, enjoy and celebrate England’s spectacular historic environment.

Deadline for applications

Sunday 15 May 2022 @23:59PM (UK TIME)

Interview date: We are aiming to have the interviews during weeks commencing 6 and 13 June. Depending on applications these dates might change.

We are looking for someone to join our team to undertake a PhD research project that will deepen our understanding of the risks posed by climate change to heritage in England. This will use advanced data science and spatial analysis methods while also developing your ability to apply data science in a heritage context. A more accurate understanding of climate change related risks for heritage needs to incorporate diverse aspects of risk, such as vulnerability and exposure. Due to the diversity and scale of England’s rich heritage (there are about 360,000 heritage assets on the National Heritage list for England and many times that on local Historic Environment Records and existent as unlisted heritage), this requires a data-driven approach. Working closely with Historic England, you will undertake a statistical climate change risk assessment that incorporates hazard, vulnerability, and exposure for England’s heritage. Working in the context of cultural heritage is, by definition, value-driven and therefore challenging, requiring both technical expertise and an awareness of the broader social and cultural context of the work.