At a Glance
- Tasks: Join a national team to develop AI tools for data privacy and risk management.
- Company: UWE Bristol, a leading higher education provider in a vibrant city.
- Benefits: Progressive pay, generous leave, training opportunities, and a supportive environment.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Make a real impact on data privacy while advancing your research career.
- Qualifications: Master's degree in AI or Data Science and strong communication skills.
The predicted salary is between 36000 - 60000 £ per year.
As part of UWE's Computer Science Research Centre, you will join a national team delivering "TREvolution". This ambitious project sits at the heart of the UK's aim to establish a safe and collaborative, AI‑enabled network of Trusted Research Environments where approved researchers can efficiently access and analyse sensitive data to advance research for public benefit. You will be part of a team working at the cutting‑edge where advanced analytics (including federation and AI) meets data privacy. We are creating tools for assessing and managing the vulnerability of research outputs (such as statistics, or trained AI models) produced from sensitive data to subsequent "inference attacks" that might disclose individuals' confidential data.
Role Responsibilities
- Designing, implementing (in python, extending the SACRO toolkits), and conducting experiments to evaluate the effectiveness of various inference attacks and risk mitigation strategies for trained AI models.
- Assisting in the design and creation of resources to effectively communicate the privacy risk of a trained AI model, including novel Risk Visualisation tools and underpinning "hands‑on" training resources.
- Working with DARE UK's 'real‑world exemplar projects' to understand their needs, and extending the SACRO family of tools to support more use‑cases.
- Incorporating these to deliver step‑changes in scalability and applicability of the SACRO framework and embedding within the wider TREvolution project deliverables.
This role offers an unparalleled opportunity to collaborate with leading academics, policymakers, and industry stakeholders. With access to state‑of‑the‑art research facilities, you will contribute to high‑quality publications, shape national policy discourse, and explore innovative approaches to privacy risk management. This is a rare chance to advance your research career while making a tangible impact on unlocking the potential of data and advanced analytics.
What we’re looking for
We’re looking for dynamic researchers with the ambition to deliver research that matters. You will be passionate about AI and data science, but respectful of people's concerns about privacy, and the need to ensure inclusive benefits for all. You will hold (or be close to completing) a Master’s degree in a relevant area of AI or Data Science. You thrive in collaborative environments and have the communication skills to work with a diverse range of stakeholders. Experience in a range of research methods, and the confidence to select appropriate techniques is essential, and an understanding of secure data environments would be desirable.
Benefits & Working Environment
We offer a wide range of employee benefits including progressive pay rates, generous annual leave and career average pension schemes as well as retail savings, onsite nursery and opportunities for training and personal development. We are one of the largest providers of Higher Education in the South West with 38,000 students and 4,000 staff from right across the globe. Based in Bristol, one of the UK's most exciting and forward‑thinking cities, we are regionally embedded and globally connected, with an established network of employer and academic partners.
Our Commitment to Diversity
UWE Bristol recognises the power of a truly diverse university community. We are proud to be part of a vibrant, multicultural city that celebrates diversity, we're always looking for talented people from all backgrounds to join us. Our people are our strength, and diversity enhances our creativity and leads to better decision‑making and problem‑solving. Bring your talent and ambition to our growing community and find yourself in a stimulating and supportive environment where you'll thrive. We particularly encourage applications from global majority and female candidates as we are currently under‑represented in this area of the organisation, however all appointments are made strictly on individual merit.
Add your individuality to ours. We encourage you to bring your unique perspective and creativity to this role.
Research Associate in AI and Data Privacy in Bristol employer: UWE Bristol
UWE Bristol is an exceptional employer, offering a dynamic and inclusive work culture that fosters collaboration and innovation in the field of AI and data privacy. With access to state-of-the-art research facilities and a commitment to employee development, you will have the opportunity to contribute to impactful research while enjoying generous benefits, including progressive pay rates and extensive training opportunities. Located in the vibrant city of Bristol, you will be part of a diverse community that values creativity and aims to make a meaningful difference in society.
StudySmarter Expert Advice🤫
We think this is how you could land Research Associate in AI and Data Privacy in Bristol
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We think you need these skills to ace Research Associate in AI and Data Privacy in Bristol
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at UWE Bristol. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
