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- Tasks: Conduct original research in philosophy of science and machine learning.
- Company: Join the prestigious University of Edinburgh and unlock your potential.
- Benefits: Full-time role with a competitive salary and opportunities for career development.
- Why this job: Make a real difference in understanding machine learning's impact on society.
- Qualifications: Background in philosophy or related fields, with a passion for research.
- Other info: Collaborate with leading experts in a dynamic academic environment.
The predicted salary is between 30000 - 40000 £ per year.
The Opportunity: We’re unlocking Edinburgh’s potential. Join us. Here at the University of Edinburgh there’s a career for everyone. We can offer opportunities for you to develop in your career and make a real difference in the communities around us whilst contributing to the world at large. Our people come from a wide range of backgrounds, each bringing their abilities and experiences to our organisation.
The University of Edinburgh is a world‑class organisation. We look for the best in the field across all disciplines and provide a working environment where academics can develop their careers and passion for their chosen subject area. We offer the full range of academic roles and have a genuine focus on our student’s performance and wellbeing.
The role: The successful candidate will work alongside Dr Emily Sullivan as part of the ERC funded grant project Machine Learning in Science and Society: A Dangerous Toy? (TOY). The PDRA will conduct original research in philosophy of science and the philosophy of machine learning. TOY aims to conceptualise and evaluate machine learning models across science and society as a type of toy model, bridging epistemic and ethical issues in simple computational models with contemporary complex machine learning models.
This post is full‑time (35 hours per week), fixed‑term for 24 months, available from 1st of May 2026.
If you are interested in this role, you may also be interested in our 36‑month PDRA role working on the same project – reference number 13824.
Informal enquiries: Informal enquiries may be made to Dr Emily Sullivan, esulliv2@ed.ac.uk.
13788 - Postdoctoral Research Associate employer: University of Edinburgh
Contact Detail:
University of Edinburgh Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land 13788 - Postdoctoral Research Associate
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the University of Edinburgh on LinkedIn. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by diving deep into the project details. Understand the philosophy of machine learning and be ready to discuss how your research aligns with TOY's goals.
✨Tip Number 3
Show your passion! When you get the chance to speak with Dr Emily Sullivan or anyone from the team, let your enthusiasm for the subject shine through. It makes a huge difference!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team!
We think you need these skills to ace 13788 - Postdoctoral Research Associate
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application to highlight how your skills and experiences align with the role. We want to see how you can contribute to our project on machine learning in science and society!
Show Your Passion: Let your enthusiasm for philosophy of science and machine learning shine through in your written application. We love candidates who are genuinely excited about their field and eager to make a difference.
Be Clear and Concise: Keep your writing clear and to the point. We appreciate well-structured applications that are easy to read, so avoid jargon and focus on what makes you a great fit for the role.
Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity.
How to prepare for a job interview at University of Edinburgh
✨Know Your Research Inside Out
Make sure you’re well-versed in your own research and the project you'll be working on. Familiarise yourself with Dr Emily Sullivan's work and the ERC funded grant project. This will not only show your enthusiasm but also help you engage in meaningful discussions during the interview.
✨Prepare Thoughtful Questions
Think of insightful questions to ask about the project, the team dynamics, and the University’s approach to machine learning in science. This demonstrates your genuine interest and helps you assess if the role is a good fit for you.
✨Showcase Your Interdisciplinary Skills
Highlight any experience you have that bridges philosophy, science, and machine learning. Be ready to discuss how your unique background can contribute to the project and the wider goals of the University of Edinburgh.
✨Practice Your Presentation Skills
You might need to present your previous work or ideas during the interview. Practise explaining complex concepts clearly and concisely, as this will reflect your ability to communicate effectively within an academic setting.