Postdoctoral Research Associate in Midlothian

Postdoctoral Research Associate in Midlothian

Midlothian Full-Time 41064 - 48822 £ / year (est.) No home office possible
The University of Edinburgh

At a Glance

  • Tasks: Conduct original research in philosophy of science and machine learning.
  • Company: Join the University of Edinburgh, a world-class institution with diverse opportunities.
  • Benefits: Competitive salary, generous leave, pension scheme, and flexible work options.
  • Other info: Be part of a supportive environment that champions diversity and inclusion.
  • Why this job: Make a real impact on society through innovative research in a vibrant community.
  • Qualifications: PhD in relevant field and strong research skills.

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: 36 months

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 students’ 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 1 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. You can view and apply for this opportunity via Job Requisition 13788. Informal enquiries may be made to Dr Emily Sullivan, esulliv2@ed.ac.uk.

Application information

Applicants should upload a cover letter and CV into the online application portal. These documents must be uploaded in all cases. If you are currently in the process of completing your studies/PhD programme please note any relevant timescales in your cover letter and/or CV. In addition we ask you to submit the names of three referees who may be contacted at a later date (please note if you do not wish for anyone to be contacted until after an offer has been made). As a School we acknowledge that people’s career paths are rarely linear and welcome applicants to expand on their professional and personal journeys where appropriate. More information on how to submit your application can be found. Informal enquiries may be made to Dr Emily Sullivan, esulliv2@ed.ac.uk.

As a valued member of our team you can expect:

  • A competitive salary.
  • An exciting, positive, creative, challenging and rewarding place to work.
  • To be part of a diverse and vibrant international community.
  • Comprehensive Staff Benefits, including generous annual leave entitlement, a defined benefits pension scheme, a wide range of staff discounts, family‑friendly initiatives, and flexible work options.

Championing equality, diversity and inclusion

The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality. We particularly welcome applications from eligible candidates from under‑represented groups, including racially minoritised individuals and all gender identities.

Prior to any employment commencing with the University, you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages. The University may be able to sponsor the employment of international workers in this role. This will depend on a number of factors specific to the successful applicant.

Key dates to note

The closing date for applications is 20th April 2026. Unless stated otherwise the closing time for applications is 11:59pm GMT. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone. We aim to give successful candidates 2 weeks’ notice ahead of interviews.

Postdoctoral Research Associate in Midlothian employer: The University of Edinburgh

The University of Edinburgh is an exceptional employer, offering a vibrant and inclusive work environment that fosters academic growth and innovation. With a commitment to equality, diversity, and inclusion, employees benefit from comprehensive staff perks, including generous leave, a defined benefits pension scheme, and flexible working options. Join a world-class institution where your research can make a meaningful impact on society while being part of a diverse international community.
The University of Edinburgh

Contact Detail:

The University of Edinburgh Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Postdoctoral Research Associate in Midlothian

✨Tip Number 1

Network like a pro! Reach out to current or former employees at the University of Edinburgh, especially those in your field. 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 you'll be working on. Familiarise yourself with Dr Emily Sullivan's work and the ERC funded grant project. Show us you’re genuinely interested and ready to contribute!

✨Tip Number 3

Practice your pitch! Be ready to explain how your background in philosophy of science and machine learning aligns with the role. We want to see your passion and how you can make a difference in our community.

✨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 us you’re serious about joining our team at the University of Edinburgh.

We think you need these skills to ace Postdoctoral Research Associate in Midlothian

Research Skills
Philosophy of Science
Philosophy of Machine Learning
Machine Learning
Analytical Thinking
Conceptualisation
Evaluation Skills
Interdisciplinary Collaboration
Communication Skills
Ethical Analysis
Problem-Solving Skills
Project Management
Academic Writing
Data Interpretation

Some tips for your application 🫡

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Make sure to highlight your research interests and how they align with the project. We want to see your passion for philosophy of science and machine learning, so don’t hold back!

Tailor Your CV: When you upload your CV, ensure it’s tailored to the role. Highlight relevant experience and skills that match the job description. We’re looking for candidates who can contribute to our exciting project, so make it clear why you’re the perfect fit!

List Your Referees Wisely: Choose referees who know your work well and can speak to your abilities in research. If you’d prefer not to have someone contacted until after an offer, just let us know in your application. It’s all about making you feel comfortable!

Apply Through Our Website: Don’t forget to apply through our online portal! It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, you’ll find all the details you need right there!

How to prepare for a job interview at The 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 ERC funded project 'Machine Learning in Science and Society: A Dangerous Toy?'.

✨Prepare Thoughtful Questions

Think of insightful questions to ask Dr Emily Sullivan about the project and the team dynamics. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.

✨Showcase Your Unique Journey

The University of Edinburgh values diverse backgrounds, so don’t hesitate to share your unique career path and experiences. Highlight how your personal journey has shaped your approach to research and collaboration.

✨Practice Your Presentation Skills

Since this role involves complex concepts, practice explaining your research clearly and concisely. Use examples that bridge epistemic and ethical issues to demonstrate your understanding of the project's aims.

Postdoctoral Research Associate in Midlothian
The University of Edinburgh
Location: Midlothian

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