Skip to main content

This job has expired

Research Engineer (Research Fellow) in Adaptive Online Safety and Privacy Software

Employer
UNIVERSITY OF SURREY
Location
Surrey, United Kingdom
Salary
£36,024 to £44,263 per annum depending on experience
Closing date
15 Jul 2024

Computer Science

Location:  Guildford
Salary:  £36,024 to £44,263 per annum depending on experience  
Fixed Term Contract until 31/03/2025
Post Type:  Full Time
Closing Date:  23.59 hours BST on Monday 15 July 2024
Interview Date:  To be confirmed
Reference:  028624

Applications are invited for a 13 month Research Engineer (Research Fellow) in adaptive online safety and privacy software, to work full-time on an EPSRC-funded project “AP4L: Adaptive PETs to Protect & emPower People during Life Transitions”. We are looking for the successful post holder to start as soon as possible and will be based in the Department of Computer Science and its highly regarded Surrey Centre for Cyber Security (SCCS), reporting to the project PI (Prof. Sastry).

The role

The aim of the project is to undertake research in online privacy & vulnerability challenges that people face when going through major life transitions such as relationship breakdowns; LBGT+ transitions or transitioning gender; entering/leaving employment in sensitive sectors such as the Armed Forces; and developing a serious illness or becoming terminally ill.  

The postholder will be responsible for;

  • Designing and building the software to be developed in the project, such as browser extensions, mobile apps, open-source software libraries and datasets to be released from the project. The software to be developed will include fundamental new privacy enhancing technologies, privacy sensitive machine learning to personalise automatic online safety responses and immersive simulation environments to explore how safety and can be compromised online during life transitions.
  • Working collaboratively as part of a cohort of researchers with the REPHRAIN National Research Centre on Privacy, Harm Reduction and Adversarial Influence Online. A key aspect of the project is working closely with 26 core partners spanning legal enforcement agencies (e.g., Surrey Police), tech companies (e.g., Facebook, IBM), support networks (e.g., LGBT Foundation, Revenge Porn Helpline, Macmillans Cancer Care), financial agencies (Mastercard, Lloyd’s) and regulators such as Ofcom. A six-part radio series has been commissioned by the BBC for disseminating the key project messages.

About you

  • The successful applicant is expected to have a postgraduate qualification in computer science or a related subject, or equivalent professional experience.
  • Experience in software development relevant to online privacy and safety. 
  • Experience developing secure web environments, and in Applied Machine Learning and Privacy Enhancing Technologies is highly desirable. 
  • Direct research experience, or experience of software development while working closely with researchers, is also desirable.

For informal inquiries about the position, please contact Prof. Nishanth Sastry (n.sastry@surrey.ac.uk).

The closing date for applications is Monday 15th July 2024. Interview planned for week commencing 22nd July 2024.

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.

Click here to find out more about the benefits we offer to support you.

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.  Therefore we particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities.

Get job alerts

Create a job alert and receive personalised job recommendations straight to your inbox.

Create alert