Qualification Type: | PhD |
---|---|
Location: | Bradford |
Funding for: | UK Students |
Funding amount: | £20,780 |
Hours: | Full Time |
Placed On: | 3rd March 2025 |
---|---|
Closes: | 19th May 2025 |
Project Supervisors:
Prof Vincent Gaffney
Dr Andrew Fraser
Project Description:
The University of Bradford is inviting applications for a PhD studentship in Archaeological Sciences, funded through the ERC Synergy Subnordica project. The student would be based at the Submerged Landscapes Centre, in the School of Archaeological and Forensic Sciences, at the University of Bradford.
This PhD studentship is integrated into work package 5 of the ERC Synergy Subnordica Project, which will combine data from across the entire project into a set of predictive models for comparative analysis across case study regions. The successful candidate will work on the development and application of AI/Machine learning and behavioural modelling within the North and Baltic seas, utilising legacy and new data collected as part of the wider project. The candidate will work closely with the wider Subnordica team, and our partners, in order to integrate data across a number of case study areas.
The successful candidate will start this project in October 2025.
The candidate should hold a masters, (or due for completion before the intended start), in a related discipline. Furthermore, a background in machine learning/AI, geoarchaeology, environmental science, or computer science would be beneficial, but is not required, depending on equivalent experience.
Funding notes:
This project is funded by the European Research Council (ERC). The successful applicant will be awarded a studentship, which will cover Home tuition fees, plus an annual tax-free stipend of at least £20,780 per year.
Funding for: UK Students
Enquiries email name and address: For informal enquiries, please contact research@bradford.ac.uk
How to apply:
Applicants should register an account, and include the project title on the Research Proposal section.
Apply online via the above ‘Apply’ button.
Application Deadline: 19 May 2025
Type / Role:
Subject Area(s):
Location(s):