Job Description

About ARU:

ARU is a global university transforming lives through innovative, inclusive and entrepreneurial education and research. ARU holds a Gold award for the quality of its education, awarded through the Teaching Excellence Framework (TEF).

ARU's research institutes and four faculties bridge scientific, technical and creative fields. We deliver impactful research which tackles pressing issues and makes a real difference to our communities. Our academic excellence has been recognised by the UK's Higher Education funding bodies, with 16 of our research areas assessed as world leading. We are the largest provider of Nursing, Midwifery, Health and Social Care students in the East of England, and we are also among the UK's leading universities for degree apprenticeship provision, working with hundreds of employers across the UK.

About the Role:

We are looking to recruit a highly motivated Post-Doctoral Research Fellow in AI enabled Multidimension Geographic Information Systems (MultiGIS) to contribute to the UKRI/EPSRC funded AI4MultiGIS project under the EU CHIST-ERA 2023 call. The AI4MultiGIS aims to enhance GIS capabilities and optimize the processing chains of MultiGIS data generation and management through innovative solutions for an intelligent data pipeline that gathers and structures data from diverse sources and employs novel outlier detection algorithms using unsupervised deep learning techniques with real-time spatiotemporal data processing and Responsible AI practice. The project is a collaboration with partners from leading academic institutions across Europe.



The role will be in the link between two different schools of ARU including Computing and Information Science and Engineering and the Built Environment, is based at both the Cambridge and Chelmsford campus and operates within the Faculty of Science and Engineering.



With a PhD or near completion or other relevant post-graduate research qualification, you'll be creative, motivated and have experience in relevant research methods. You will have excellent written and oral communication skills with proven track record of publishing peer-reviewed research papers. You will be proficient in applying AI/ML techniques for geospatial analysis and geospatial modelling using state of the art GIS-based software. We provide an agile working environment with opportunity to work from home and campus.



The role is a fixed-term for 18 months



Informal queries can be made to Professor Dr Shareeful Islam at shareeful.islam@aru.ac.uk



Find out more about working with us and how we recruit.



We have an agile working culture and offer an extensive range of benefits including generous holiday entitlement, occupational pension schemes, training and development opportunities, travel to work scheme and a competitive relocation package. Visit our benefits page for full details.

We are committed to safeguarding and promoting welfare of our staff and students and expect all staff and volunteers to share this commitment. Applicants should be aware that ARU will carry out online searches as part of the due diligence on short listed candidates.

We value diversity at ARU and welcome applications from all sections of the community.



We have a responsibility to ensure that all employees are eligible to live and work in the UK.

Committed to being inclusive and open to discuss flexible working.



We reserve the right to close this vacancy once we have received sufficient applications.

Guidance Notes:

Please download the Person Specification for key requirements. To apply, demonstrate how your skills and experience meet the criteria.

Job Category Teaching, Research & Scholarship
Vacancy Type Fixed term contract
Fixed Term Duration 18 months
Employment Type Full time
Salary From 38,784
Salary To 44,746
Location Cambridge
Faculty/Prof Service Faculty of Science & Engineering
Ref No 3716
Closing Date 07/11/2025