Research Associate (Smarter Robot Bodies)
About The Role
This is an exciting opportunity to join the Department of Mechanical Engineering as a Research Associate to work on the cutting‑edge project “New Analytical Framework: Developing Dexterous Manipulators”. Funded by the Advanced Research and Invention Agency (ARIA) through the groundbreaking Smarter Robot Bodies opportunity space, this project aims to unlock a step‑change in robotic capabilities. You will work in an interdisciplinary team to develop novel analytical frameworks that bridge the gap between soft robotic manipulators and their intelligence. The project specifically addresses the challenge of “Robot Dexterity” by creating mathematical models and AI‑based strategies that allow soft robotic manipulators to achieve human‑level dexterity. You will be part of a dynamic team of “Creators” within the ARIA ecosystem, collaborating to transform how soft robots interact with the physical world. A core focus of this role is using advanced mathematics and data analytics to “see inside” the robot. You will use data to uncover the hidden physics and internal states of complex manipulator bodies, moving beyond black‑box approaches to develop transparent, physics‑informed models that explain why the robot moves the way it does.
Key Responsibilities
* Developing rigorous mathematical models for the complex, non‑linear dynamics and underlying physics of soft robotic manipulators.
* Utilising machine learning to interpret sensor data, inferring internal physical states and structural behaviours that are not directly observable.
* Creating data‑driven models that bridge the gap between theoretical physics and real‑world robot performance.
* Implementing AI control strategies that leverage this deep physical understanding to achieve superior dexterity and adaptability.
* Designing and conducting experiments to validate the new models and findings on physical robotic hardware.
* Collaborating with external partners and other ARIA Creators to integrate hardware and software solutions.
Qualifications
* A PhD (or be close to completion) in Robotics, Control Engineering, Applied Mathematics, Computer Science, or a related field.
* Strong expertise in analytical modelling of dynamic systems and physical interactions. Experience in using data analysis to identify system parameters or model physical phenomena.
* Knowledge of soft robotics, continuum robots, or flexible manipulators.
* Excellent programming skills (e.g., Python, C++, MATLAB).
* A strong publication record in reputable journals or conferences.
Further Information
This is a full‑time (36.5 hours per week) position offered on a fixed‑term basis until 28 February 2028. For an informal conversation about the position please contact Professor Min Pan on mp351@bath.ac.uk. 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.
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 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.
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Benefits
* 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
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Further Details
* Job Description & Person Specification
* Job Description & Person Specification
Terms and Conditions of Employment
Right to Work in the UK: We do not assess immigration or right to work status until offer stage. Being invited to interview does not guarantee you are eligible for visa sponsorship and all offers are conditional on meeting right to work requirements. Further information is available on our application support webpage.
Anonymous shortlisting: We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details such as your name, may be removed from application forms at the initial shortlisting stage.
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