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- Tasks: Contribute to groundbreaking research in AI and economic theory using game-theoretic models.
- Company: Major UK university with a focus on innovative research.
- Benefits: Hybrid working, competitive salary, and excellent training opportunities.
- Why this job: Join a pioneering team tackling advanced AI challenges and make a real impact.
- Qualifications: PhD in Economics, expertise in game theory, and strong analytical skills.
- Other info: Dynamic research environment with opportunities for professional growth.
The predicted salary is between 43277 - 51714 £ per year.
A major UK university is seeking a motivated Research Officer in Economic Theory and AI Alignment. You will contribute to groundbreaking research funded by the UK AI Safety Institute, focusing on advanced AI systems through game-theoretic models.
Candidates should have a PhD in Economics, expertise in game theory, and strong analytical skills.
The role offers hybrid working and excellent training opportunities, with a competitive salary range from £43,277 to £51,714 pa.
Hybrid Research Officer — AI Alignment & Economic Theory employer: The London School of Economics and Political Science (LSE)
Contact Detail:
The London School of Economics and Political Science (LSE) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Research Officer — AI Alignment & Economic Theory
✨Tip Number 1
Network like a pro! Reach out to your connections in the academic and AI fields. Attend conferences or webinars related to economic theory and AI alignment. You never know who might have a lead on that perfect job!
✨Tip Number 2
Prepare for interviews by brushing up on your game theory knowledge and recent advancements in AI. We recommend practising common interview questions and even doing mock interviews with friends or mentors to boost your confidence.
✨Tip Number 3
Showcase your analytical skills! During interviews, be ready to discuss specific projects or research you've done that highlights your expertise. Use examples that demonstrate how you can contribute to groundbreaking research in AI alignment.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace Hybrid Research Officer — AI Alignment & Economic Theory
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your PhD in Economics and any relevant experience in game theory. We want to see how your skills align with the role, so don’t be shy about showcasing your analytical prowess!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI alignment and economic theory. We love seeing candidates who can connect their research interests with our mission.
Showcase Your Research Experience: If you've worked on projects related to advanced AI systems or game-theoretic models, make sure to mention them! We’re looking for candidates who can contribute to groundbreaking research, so let us know what you’ve done.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at The London School of Economics and Political Science (LSE)
✨Know Your Game Theory
Brush up on your game theory concepts and be ready to discuss how they apply to AI alignment. Prepare examples from your PhD research that showcase your analytical skills and understanding of complex economic models.
✨Research the University’s Projects
Familiarise yourself with the university's ongoing research in AI and economic theory. This will not only show your genuine interest but also help you align your answers with their current projects and goals during the interview.
✨Prepare Thoughtful Questions
Think of insightful questions to ask about the role and the research team. This demonstrates your enthusiasm for the position and helps you gauge if the environment is a good fit for you.
✨Practice Your Presentation Skills
Since this role involves advanced research, practice explaining complex ideas clearly and concisely. You might be asked to present your previous work, so make sure you can communicate your findings effectively to a diverse audience.
