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- Tasks: Conduct original research in philosophy of science and machine learning.
- Company: Join the prestigious University of Edinburgh, a world-class institution.
- Benefits: Competitive salary, career development, and a supportive academic environment.
- Why this job: Make a real impact on ethical issues in machine learning and science.
- Qualifications: PhD in relevant field and strong research skills.
- Other info: Full-time role for 36 months with excellent growth opportunities.
The predicted salary is between 41064 - 48822 £ per year.
Grade UE07: £41,064 - £48,822 per annum
College of Arts, Humanities and Social Science / School of Philosophy, Psychology and Language Sciences
Full-time: 35 hours per week
Fixed-term: for 36 months
The Philosophy Department in the School of Philosophy, Psychology and Language Sciences is seeking a full time, fixed term Postdoctoral Research Associate. This post is available from May 2026.
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 post for 36 months, available from 1st of May 2026.
If you are interested in this role, you may also be interested in our 24‑month PDRA role working on the same project – reference number 13788.
Informal enquiries may be made to Dr Emily Sullivan, esulliv2@ed.ac.uk
13824 - 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 13824 - Postdoctoral Research Associate
✨Tip Number 1
Network like a pro! Reach out to current or former colleagues, professors, or anyone in your field. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Prepare for interviews by researching the department and its projects. Knowing about Dr Emily Sullivan's work will show your genuine interest and help you stand out during the interview.
✨Tip Number 3
Practice your pitch! Be ready to explain how your research aligns with the ERC funded grant project. Highlighting your relevant experience can make a big difference.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the University of Edinburgh team.
We think you need these skills to ace 13824 - Postdoctoral Research Associate
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Postdoctoral Research Associate role. Highlight your relevant experience in philosophy of science and machine learning, and show us how your background aligns with the project goals.
Show Your Passion: We want to see your enthusiasm for the subject! In your application, share why you're excited about the research project and how it connects to your academic journey. Let your passion shine through!
Be Clear and Concise: Keep your writing clear and to the point. Avoid jargon unless necessary, and make sure your ideas flow logically. We appreciate well-structured applications that are easy to read and understand.
Apply Through Our Website: Don’t forget to submit your application through our official website. It’s the best way to ensure your application gets to us directly and is considered for the role. We can’t wait to hear from you!
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 how it relates to the philosophy of science and machine learning. Be prepared to discuss your previous work and how it connects to the project you'll be working on with Dr Emily Sullivan.
✨Understand the Project Goals
Familiarise yourself with the ERC funded grant project, 'Machine Learning in Science and Society: A Dangerous Toy?'. Knowing the aims and objectives will help you articulate how your skills and experiences align with the project's needs during the interview.
✨Prepare Thoughtful Questions
Interviews are a two-way street! Prepare insightful questions about the project, the team dynamics, and the University of Edinburgh’s approach to research. This shows your genuine interest and helps you assess if it's the right fit for you.
✨Showcase Your Collaborative Spirit
Since you’ll be working closely with Dr Emily Sullivan and possibly other researchers, highlight your teamwork skills. Share examples of past collaborations and how you’ve contributed to a positive research environment.