Research Fellow in Data Resilience Security and Privacy
Salary: £36,024 to £41,732 per annum
Post Type: Full Time
Closing Date: 23.59 hours BST on Thursday 05 October 2023
The Surrey Centre for Cyber Security (SCCS) within the School of Computer Science and Electronic Engineering at the University of Surrey is seeking to recruit a full-time Research Fellow in Data Resilience, Security and Privacy. The post is available with the opportunity for hybrid working – some time on campus and some from home. We welcome applicants who wish to pursue the role through flexible working patterns.
The successful candidate will be expected to conduct research within the context of the Defence Data Research Centre, funded by DSTL, in which SCCS is a partner, alongside the Universities of Exeter and Liverpool, and the Digital Catapult. The Centre is focusing on problems related to the use of data for Artificial Intelligence applications, particularly around the challenges of bringing raw data to the state where it can be used. We consider these problems within a defence context, such as logistics support, object tracking and data wrangling. SCCS is focused on the area of data resilience, security and privacy, considering problems such as the trustworthiness of data and issues around anonymisation.
The post holder will benefit from the research environment provided by the Surrey Centre for Cyber Security, an Academic Centre of Excellence in Cyber Security Research recognised by the National Cyber Security Centre. The Centre’s broader research agenda is in the areas of trusted computing, data privacy, privacy preserving security, applied cryptography, and a range of cyber security topics.
The post will also offer an excellent opportunity for a researcher to develop their own research agenda within the area of data resilience, security and privacy, and to work collaboratively in a team of colleagues working on related projects around privacy and security. It will also provide an excellent opportunity to influence research directions during the course of the appointment. The successful candidate will work under the direction of Professor Steve Schneider together with the support of other colleagues at Surrey and DDRC. Researchers with an interest in data security and in its role within AI applications are encouraged to apply. Applicants must have a PhD in a relevant subject.
Because the Dstl is an agency of the Ministry of Defence, certain nationalities are excluded from applying for this job, as follows:
Security clearance requirements
The following nationalities are excluded from eligibility:
- China (including Tibet, Hong Kong and Macau)
- North Korea
- British nationals with any dual nationality
The post is available until March 31st 2025 to start as soon as possible.
For informal enquiries, please contact Professor Steve Schneider email@example.com
Please submit a CV and covering letter with your application.
Please note, it is University Policy to offer a starting salary equivalent to Level 3.6 (£34,314) to successful applicants who have been awarded, but are yet to receive, their PhD certificate. Once the original PhD certificate has been submitted to the local HR Department, the salary will then increase to a competitive level.
Further details: Job Description
For more information and to apply online, please download the further details and click on the 'apply online' button above.
In return we offer a generous pension, relocation assistance where appropriate , flexible working options including job share and blended home/campus working locations (dependent on work duties), access to world-class leisure facilities on campus, a range of travel schemes and supportive family friendly benefits including an excellent on-site nursery.
The University of Surrey is committed to providing an inclusive environment that offers equal opportunities for all. We place great value on diversity and are seeking to increase the diversity within our community. herefore we particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities.