At a Glance
- Tasks: Develop innovative machine learning techniques for bespoke product manufacturing.
- Company: Join the University of Bath's Centre for Artificial Intelligence.
- Benefits: Enjoy flexible working, professional development, and generous leave.
- Other info: Work in a beautiful location with a diverse and inclusive community.
- Why this job: Make a real impact in healthcare with cutting-edge research.
- Qualifications: PhD candidates with creative problem-solving skills are encouraged to apply.
The predicted salary is between 35000 - 45000 £ per year.
This project will develop new machine learning techniques to enable efficient production of bespoke products, such as medicines in a high-volume, high-variation manufacturing setting. It will focus on the problem of sequential decision making, with an emphasis on approaches that could eventually be deployed into real scenarios to improve industrial processes. Relevant areas of research include reinforcement learning and probabilistic machine learning.
This post is funded by EPSRC as part of the project "Transforming the future use of injectable medicines: Increasing capacity in the NHS".
Candidates will be expected to design and develop novel machine learning techniques that are robust and applicable to real industrial scenarios. This project has substantial flexibility in how it can be approached and an ideal candidate would demonstrate creative problem solving and independent working with a proactive approach to research. The Research Associate will work closely with project investigators Professor Özgür imek and Dr Tom SF Haines. They will be part of the Centre for Artificial Intelligence at the University of Bath, as well as the Artificial Intelligence and Machine Learning Research Group within the Department of Computer Science.
This post is a full time, fixed term contract for two years, with a potential extension to three years. There is associated funding for conference attendance. The start date is flexible.
For an informal discussion regarding the role please contact Özgür imek or Tom Haines.
Please submit a CV and optionally a research statement (up to two pages) and writing samples with your application. Interviews will be conducted in two stages. Following a successful online interview, candidates will be invited to visit the University of Bath campus. Applications will be considered on a rolling basis until the position is filled. Initial shortlisting will take place on 30 April, with first-round online interviews tentatively scheduled for the week of 11 May.
As a member of Research Staff at the University of Bath, you will be encouraged to take up a minimum of 10 days professional development pro rata per year. A lower grade offer may be made (Grade 6) with comparable reduction in responsibilities and amendment in job title to Research Assistant, if a suitable applicant cannot be found to fill the Grade 7 position. Applicants will need to be within six months of their course completion date and will be promoted to Research Associate once their PhD has been awarded.
The University of Bath is based on an attractive, single-site campus that facilitates interdisciplinary research. It is located on the edge of the World Heritage City of Bath and offers the lifestyle advantages of working and living in one of the most beautiful areas in the United Kingdom.
We consider ourselves to be a university where difference is celebrated, respected and encouraged. We have an excellent international reputation with staff from over 60 different nations and have made a positive commitment towards gender equity and intersectionality receiving a Silver Athena SWAN award. We truly believe that diversity of experience, perspectives, and backgrounds will lead to a better environment for our employees and students and encourage applications from all genders, backgrounds, and communities, particularly from under-represented groups, and value the positive impact that will have on the university.
We are committed to maintaining a safe and secure environment for our students, staff, and community by reinforcing our Safer Recruitment commitment.
What we can offer you:
- Free counselling services through Health Assured
- Cycle to work scheme
- Electric vehicle salary sacrifice scheme
- Staff discount at Team Bath gym
- Staff discounts on postgraduate tuition fees
- Staff discount on language courses
- Generous employer contributory pension schemes
- Generous annual leave allowance with an additional 5 discretionary days so that you can enjoy a positive work life balance
- A wide range of personal and professional development opportunities including Apprenticeships, LinkedIn Learning and more
- Free entry to the Holburne Museum in Bath
- Local discounts and more
- A family-friendly workplace
- An excellent reward package that recognises the talents of our diverse workforce
- Relocation allowance
- Visa reimbursement and Interest-Free Loan to help with the cost of some immigration expenses
Find out more about our benefits and watch the video to hear from our staff about what makes the University of Bath a great place to work.
Closing Date: 02 Apr 2026
Department: Education
Research Associate in Machine Learning (SS13519R) - Bath, BA2 7AY employer: University of Bath
The University of Bath is an exceptional employer, offering a vibrant work culture that celebrates diversity and fosters professional growth. With a commitment to employee well-being, the university provides generous benefits such as a supportive pension scheme, extensive professional development opportunities, and a family-friendly workplace, all set against the stunning backdrop of Bath, a UNESCO World Heritage City. Join us to be part of a collaborative environment where innovative research thrives and your contributions are valued.
StudySmarter Expert Advice🤫
We think this is how you could land Research Associate in Machine Learning (SS13519R) - Bath, BA2 7AY
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the University of Bath, especially those in the AI and Machine Learning fields. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for your interviews by diving deep into the latest trends in machine learning, particularly reinforcement learning and probabilistic methods. Show us that you're not just a candidate, but a passionate researcher ready to tackle real-world problems.
✨Tip Number 3
Don’t underestimate the power of a follow-up! After your interview, drop a quick thank-you email to your interviewers. It shows your enthusiasm and keeps you fresh in their minds.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it gives you a chance to showcase your skills and experience directly to us at StudySmarter.
We think you need these skills to ace Research Associate in Machine Learning (SS13519R) - Bath, BA2 7AY
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Research Associate in Machine Learning. Highlight relevant experience, skills, and projects that showcase your expertise in machine learning techniques, especially in reinforcement learning and probabilistic methods.
Craft a Compelling Research Statement:If you choose to include a research statement, make it count! Use it to outline your past research experiences and how they relate to the project. Show us your creative problem-solving skills and how you can contribute to real industrial scenarios.
Show Your Passion:In your application, let your enthusiasm for machine learning and its applications shine through. We want to see your proactive approach to research and how you envision contributing to the project on injectable medicines.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way to ensure we receive all your materials and can consider you for this exciting opportunity at the University of Bath.
How to prepare for a job interview at University of Bath
✨Know Your Machine Learning Stuff
Make sure you brush up on the latest in machine learning, especially reinforcement learning and probabilistic methods. Be ready to discuss how these techniques can be applied to real-world scenarios, like the bespoke production of medicines.
✨Show Off Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in your past research. Think about times when you had to be creative and independent in your approach, as this role values proactive researchers who can think outside the box.
✨Familiarise Yourself with the Team
Do a bit of homework on Professor Özgür imek and Dr Tom SF Haines. Knowing their research interests and recent publications can help you connect during the interview and show that you're genuinely interested in working with them.
✨Ask Thoughtful Questions
Prepare some insightful questions about the project and the Centre for Artificial Intelligence. This not only shows your enthusiasm but also helps you gauge if the role aligns with your career goals and interests.
