At a Glance
- Tasks: Join us to research AI's impact on democracy and decision-making processes.
- Company: Be part of the Trustworthy Distributed Intelligence Lab at a top UK university.
- Benefits: Enjoy 42 days off, a generous pension, and access to a state-of-the-art gym.
- Other info: Flexible working arrangements and potential visa sponsorship available.
- Why this job: Contribute to meaningful projects that shape the future of digital democracy.
- Qualifications: PhD or PhD candidate in AI, data science, or computational social science required.
The predicted salary is between 28800 - 48000 £ per year.
Are you a researcher looking for your first challenge? Are you excited to explore the opportunities and risks of artificial intelligence on democratic and collective decision-making processes? Do you want to advance your career by joining the Trustworthy Distributed Intelligence Lab at one of the UK\'s leading research-intensive universities with industrial collaborations?
You will have a PhD or be a PhD candidate who has already submitted your thesis prior to starting the position, with a research track record in artificial intelligence, data science, and computational social science. You should have a keen interest in digital democracy, particularly in computational social choice (voting methods), deliberation, and collective decision-making. You should know how to work with data, especially collecting and analyzing AI-assisted human choices and deliberation data. You will be eager to explore the opportunities and risks of large language models for AI assistance in human decision-making, and capable of applying machine learning and computational social choice algorithms.
This role is associated with the following projects:
- Embedding EDI in the Distribution of Research Funding: An AI-assisted Collective Intelligence Approach, AI for Collective Intelligence Hub
- Digitally-assisted Collective Governance of Smart City Commons (ARTIO), UKRI Future Leaders Fellowship
This position will be based at the University of Leeds campus, with scope for hybrid working arrangements. We are open to discussing flexible working options.
To explore the role further or for any queries, please contact:
Professor Evangelos Pournaras
Professor of Trustworthy Distributed Intelligence
Tel: +44 (0)113 343 4810
Email: E.Pournaras@leeds.ac.uk
Please note that this position may be suitable for sponsorship under the Skilled Worker visa route. First-time applicants might need to qualify for salary concessions. For more information, visit the UK Government\'s Skilled Worker visa page.
For research and academic posts, we will consider eligibility under the Global Talent visa. More information is available on the Government\'s Apply for the Global Talent visa page.
What we offer in return:
- 26 days holiday plus approximately 16 bank holidays (including Christmas), totaling 42 days off per year
- Generous pension scheme with 14.5% employer contribution and life assurance
- Health and Wellbeing: Discounted staff membership at The Edge, our state-of-the-art campus gym with a pool, sauna, climbing wall, cycle circuit, and sports halls
- Personal Development: Access to courses run by our Organisational Development & Professional Learning team
- Additional benefits include on-site childcare, shopping discounts, and travel schemes
And much more!
#J-18808-LjbffrResearch Fellow in Artificial Intelligence for Digital Democracy in Leeds employer: University of Leeds
The University of Leeds is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration in the field of artificial intelligence and digital democracy. With generous benefits including 42 days of annual leave, a robust pension scheme, and access to state-of-the-art facilities, employees are supported in both their professional and personal development. The opportunity to engage in impactful research while enjoying flexible working arrangements makes this position particularly attractive for those looking to advance their careers in a leading research-intensive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Research Fellow in Artificial Intelligence for Digital Democracy in Leeds
✨Get Involved in Research Communities
Dive headfirst into the scientific research world by joining relevant communities and forums. Engage in discussions, share your insights, and even attend conferences or seminars in your field. This not only boosts your visibility but can also lead to potential job opportunities—don't forget to connect with like-minded folks!
✨Show Off Your Research Projects
Have you worked on any cool research projects? Make it easy for potential employers to see your work by creating a portfolio or a personal website. This way, when you apply for roles like the one at University of Leeds, you can point them to your projects and publications, showcasing your expertise directly.
✨Utilise Professional Networks
Networking is key in scientific research. Join professional bodies or organisations related to your field. They often have job boards and resources tailored for job seekers. Make connections with professionals who may know about openings or can give you tips on landing a full-time position.
✨Keep Your Eyes on Openings & Apply Directly
Don’t just rely on job boards! Keep an eye on the careers section of the websites of companies like University of Leeds. Apply directly through their website because sometimes they post jobs there before anywhere else. Plus, it shows your proactive approach!
We think you need these skills to ace Research Fellow in Artificial Intelligence for Digital Democracy in Leeds
Some tips for your application 🫡
Highlight Your Research Experience:When applying for a full-time role in scientific research, make sure to emphasise your research experience prominently in your CV. Share specific projects you’ve worked on, the methodologies you used, and any significant findings. If you’ve published papers or presented at conferences, definitely include that too – it shows you’re on it in the academic world!
Tailor Your Cover Letter to the Research Area:Your cover letter should reflect your passion for the specific area of research at University of Leeds. Mention relevant experiences that align with the organisation’s goals or projects. This shows that you’ve done your homework and are genuinely interested in the position – plus, it helps us see how you’d fit into the team dynamics.
Showcase Your Data Analysis Skills:In scientific research, data analysis skills are a big deal! Make sure to detail any relevant analytical tools or software you’re familiar with, like R, Python, or statistical packages. Employers are keen to know you can handle the data-heavy elements of the role, so add specific examples where you’ve used these skills effectively.
Discuss Your Future Research Goals:In your motivation section, it’s a great idea to talk about your future research goals and how they align with the work being done at University of Leeds. This shows that you’re not just looking for any job, but rather a chance to contribute meaningfully to the field. We love to see applicants who are forward-thinking and enthusiastic about their research journey!
How to prepare for a job interview at University of Leeds
✨Showcase Your Research Skills
In scientific research, it’s crucial to demonstrate your ability to design and conduct experiments. Come armed with examples of past projects where you've developed hypotheses, collected data, and analysed results. Be ready to discuss any specific methodologies or tools you’ve used, like PCR techniques or statistical software.
✨Prepare for Technical Questions
Expect some technical questions specific to your field. Make sure you're up to speed with recent advancements in scientific research related to the role at University of Leeds. Brush up on concepts relevant to their projects and be prepared to discuss how you would approach a specific research problem or challenge they might face.
✨Know Your Publications
If you've authored or co-authored any papers, be prepared to discuss them! Highlighting your contributions to published research can really set you apart. It shows not only your expertise but also your ability to communicate complex ideas clearly, which is key in scientific research roles.
✨Exhibit Your Team Spirit
In full-time roles, collaboration is often at the heart of scientific research. Prepare examples that show how you've successfully worked in teams, dealt with conflicts, or contributed to group projects. We want to know how you can work effectively with the team at University of Leeds to drive research projects forward.
