About The RoleThis project will develop new artificial intelligence and machine learning techniques applicable to the optimisation of high-volume, high-variation manufacturing of injectable medicines. 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. The project is funded by EPSRC as part of the project "Transforming the future use of injectable medicines: Increasing capacity in the NHS".We will be employing two Research Associates (Grade 7) who will be working in close collaboration with each other. The team will be working closely with Professor zg r im ek and Dr. Tom SF Haines and will be part of the Artificial Intelligence and Machine Learning Research Group within the Department of Computer Science at the University of Bath.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.Further informationEach post is a full-time, fixed term contract for two years (with a potential extension to three years, depending on funding). There is also associated funding for conference attendance.The expected start date is 1 March 2025 (negotiable)As well as an online application, you are required to submit a 1 page cover letter, a full curriculum vitae (including a list of publications) and a 2 page research statement outlining past research achievements and future research plans.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 yearA 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.What We Can Offer Youa very generous employer contributory pension schemegenerous annual leave allowance with an additional 5 discretionary days so that you can enjoy a positive work life balancewe are a family-friendly University and with an increasingly agile workforce, are open to flexible working arrangementsan excellent reward package that recognises the talents of our diverse workforcea wide range of personal and professional development opportunitiesa number of support options available for new and existing staff to help with the cost of some immigration expenses which you may be eligible for: Relocation allowance, Visa Reimbursement, Interest-Free Loan.Find Out More About Our Benefits.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 equality 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, so we 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.We are very proud to be an autism friendly university and are an accredited Disability Confident Leader; committed to building disability confidence and supporting disabled staff.Find out from our staff what makes the University of Bath a great place to work. Follow us @UniofBath and @UniofBathJobs on Twitter for more information.Closing Date: 26 Jan 2025Department: Education & ResearchSalary: 30,505, rising to 36,924 (Research Assistant) or 37,999, rising to 45,163 (Research Associate)











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