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- Tasks: Conduct original research in philosophy of science and machine learning.
- Company: Prestigious academic institution in Edinburgh with a focus on impactful research.
- Benefits: Full-time position with opportunities for significant contributions to science and society.
- Why this job: Join a cutting-edge project and make a real difference in the field.
- Qualifications: PhD in Philosophy or related field with relevant research experience.
- Other info: Fixed-term position starting May 2026 with potential for career advancement.
The predicted salary is between 35000 - 45000 £ per year.
A prestigious academic institution in Edinburgh seeks a Postdoctoral Research Associate to join the Philosophy Department. This full-time, fixed-term position is available from May 2026 and focuses on conducting original research in philosophy of science and machine learning as part of an ERC funded project.
Candidates should have a PhD in Philosophy or a related field, with experience in relevant topics. The role provides an opportunity to contribute to significant research impacting science and society.
PDRA: Philosophy of Science & Machine Learning (TOY) employer: University of Edinburgh
Contact Detail:
University of Edinburgh Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land PDRA: Philosophy of Science & Machine Learning (TOY)
✨Tip Number 1
Network like a pro! Reach out to your academic contacts and let them know you're on the hunt for a PDRA position. Attend conferences or seminars related to philosophy of science and machine learning – you never know who might be looking for someone just like you!
✨Tip Number 2
Showcase your research! Prepare a solid portfolio that highlights your previous work in philosophy and machine learning. This will not only demonstrate your expertise but also give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Practice your interview skills! Mock interviews with friends or mentors can help you articulate your thoughts clearly and confidently. Focus on how your research aligns with the ERC funded project and be ready to discuss your ideas on the impact of your work.
✨Tip Number 4
Apply through our website! We make it easy for you to find and apply for positions like this one. Keep an eye on our listings and don’t hesitate to reach out if you have any questions about the application process.
We think you need these skills to ace PDRA: Philosophy of Science & Machine Learning (TOY)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your PhD and any relevant experience in philosophy of science and machine learning. We want to see how your background aligns with the role, so don’t be shy about showcasing your skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this research area and how you can contribute to our ERC funded project. Keep it engaging and personal – we love to see your enthusiasm!
Showcase Your Research Experience: In your application, be sure to detail any original research you've conducted, especially if it relates to the philosophy of science or machine learning. We’re looking for candidates who can bring fresh ideas to the table!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates. Let’s get started on this exciting journey together!
How to prepare for a job interview at University of Edinburgh
✨Know Your Research Inside Out
Make sure you can discuss your previous research and how it relates to the philosophy of science and machine learning. Be prepared to explain your methodologies and findings clearly, as this will show your depth of understanding and passion for the subject.
✨Familiarise Yourself with the Project
Research the ERC funded project you'll be contributing to. Understand its goals, significance, and how your expertise fits in. This will not only impress the interviewers but also help you articulate how you can add value to their team.
✨Prepare Thoughtful Questions
Think of insightful questions to ask during the interview. This could be about the department's research culture or future projects. It shows your genuine interest and helps you assess if the institution aligns with your career goals.
✨Practice Your Presentation Skills
Since this role involves original research, you might be asked to present your ideas. Practise explaining complex concepts in a simple way. This will demonstrate your ability to communicate effectively, which is crucial in academia.