Job Vacancy: Research Fellow (CAAL project)

The Central Asian Archaeological Landscapes (CAAL) project is a partnership between institutions from the Republic of Kazakhstan, Kyrgyz Republic, Republic of Tajikistan, Turkmenistan, Republic of Uzbekistan, and the People's Republic of China (Xinjiang Uyghur Autonomous Region), and works closely with the International Institute for Central Asian Studies.

The project is undertaking documentation, digitisation, and open access dissemination of archaeological information from across the vast Central Asian region. The project draws together archaeological data from existing archives, country-based monument records, remote-sensing, field surveys, and other research databases, to create a Historic Environment Record for the whole region.

The successful candidate will be responsible for the development of quantitative methods and approaches to change detection applied to archaeological sites and landscapes. The post is offered as a full-time (1.0FTE) position and is available for 3 years, starting as soon as possible.

The post holder will have a strong background in computational archaeology and landscape modelling, with experience of international collaborations.

The post holder will contribute to research and training in the following areas: Geographical Information Systems (GIS), aerial remote sensing, spatial statistics, and landscape modelling. They will have a track record of open-access publications including scripts and/or codes in R and/or Python programming languages.

The post holder will have extensive experience of using GIS (ideally QGIS and/or ArcGIS) application to archaeological research and landscape modelling.

Further information

• Further details of the post and the online application facility are available on the UCL website»
• Informal enquiries about the post may be addressed to CAAL project member, Marco Nebbia at m.nebbia@ucl.ac.uk.
• Enquiries about the application process may be directed to the Institute's HR Administrator, Louisa Goldsmith.
• UCL CAAL project website