Research Associate in Modelling and Robotics

Bath; Bath; In loco; GBP 40.000 - 47.000; Tempo pieno

Vantaggi offerti da questo lavoro

Generous annual leave

Pension scheme

Cycle to work

EV salary sacrifice

Team Bath gym discount

Postgraduate tuition discounts

Descrizione del lavoro

University of Bath is seeking a Research Associate in Modelling and Robotics to join the Mechanical Engineering team. The role focuses on advanced physics-based modelling, numerical simulation and experimental validation for dexterous soft robotic manipulators within the ARIA Robot Dexterity Programme.

You will develop and verify high-fidelity models using tools like COMSOL, ABAQUS or ANSYS, and collaborate with multidisciplinary researchers to push the boundaries of computational mechanics and

Competenze

• PhD (or nearing completion) in Mechanical Engineering, Robotics, Computational Mechanics, Applied Mathematics or a closely related STEM field.
• Strong knowledge of high-fidelity computational modelling and FEA, nonlinear mechanics, structural dynamics or multi-physics.
• Experience with COMSOL, ABAQUS or ANSYS or equivalent tools.
• Good understanding of robotic systems including kinematics, dynamics, actuation and control.
• Programming skills in MATLAB or Python.
• Ability to conduct independent research and communicate findings effectively.
• Collaborative and able to work in a multidisciplinary team.

Mansioni

• Develop and validate physics-based models of robotic systems using numerical simulations.
• Investigate kinematics, dynamics and actuation of soft and continuum robots.
• Design and conduct experiments to validate computational models.
• Collaborate with robotics researchers, publish findings, and support project milestones.

Conoscenze

PhD in Mechanical Engineering

Robotics knowledge

FEA experience

MATLAB/Python

Formazione

PhD in Mechanical Engineering

Strumenti

COMSOL

ABAQUS

ANSYS

Descrizione del lavoro

Research Associate in Modelling and Robotics

Job title Research Associate in Modelling and Robotics

Department Mechanical Engineering

Salary Starting from £39,560, rising to £46,970

We are seeking a motivated Research Associate to join our research team at the University of Bath, contributing to the ARIA-funded Robot Dexterity Programme. The project aims to advance the fundamental understanding, modelling and control of robotic systems, with a particular focus on developing new analytical and computational frameworks for dexterous soft robotic manipulators. The successful candidate will contribute to ground breaking research at the intersection of computational mechanics, robotics and intelligent modelling, working within a multidisciplinary team to bridge fundamental physical principles and practical robotic applications.

Key responsibilities include:

High-fidelity computational modelling: Develop and validate advanced physics-based models of robotic systems, including nonlinear mechanics, structural dynamics, large deformation and multi physics interactions, using numerical simulation tools such as COMSOL, ABAQUS or ANSYS.

Robotic modelling and dynamics: Investigate the kinematics, dynamics and actuation of robotic manipulators, particularly soft and continuum robots, and establish computational frameworks that capture their complex physical behaviour.

Experimental validation: Design and conduct experiments to validate high-fidelity computational models of robotic systems, integrating experimental measurements with numerical simulations to assess model accuracy, investigate dynamic behaviour and support the development of robotic manipulation and control.

Research collaboration and validation: Work closely with researchers in robotics, modelling and control to validate theoretical developments through simulations and experiments, contribute to scientific publications, and support the delivery of project achievements.

About you

You will have a PhD (or be close to completion) in Mechanical Engineering, Robotics, Computational Mechanics, Applied Mathematics or a closely related fields. Experience in robotics, finite element analysis, multi physics simulation would be particularly advantageous. This position offers an opportunity to contribute to an ambitious ARIA research programme, combining fundamental engineering science with the development of next-generation intelligent robotic systems.

We are looking for a motivated researcher with a strong background in computational modelling and robotics, who enjoys tackling challenging engineering problems and working collaboratively within a multidisciplinary research team.

Essential qualifications, skills and experience:

A PhD (or nearing completion) in Mechanical Engineering, Robotics, Computational Mechanics, Applied Mathematics or a closely related STEM field, or equivalent relevant research experience.

Strong knowledge and practical experience in high-fidelity computational modelling, particularly finite element analysis (FEA), nonlinear mechanics, structural dynamics or multi physics simulation. Experience using numerical simulation software such as COMSOL, ABAQUS or ANSYS, or equivalent computational modelling tools.

A good understanding of robotic systems, including kinematics, dynamics, actuation and control.

Strong programming and numerical analysis skills, preferably in MATLAB, Python or equivalent environments.

Ability to conduct independent research, analyse complex technical problems and communicate findings effectively.

Good interpersonal and collaborative skills, with the ability to contribute effectively to a multidisciplinary research team.

We welcome applications from candidates with diverse technical backgrounds who can demonstrate relevant expertise and a willingness to develop new skills.

Further information

The role is offered on a full time (36.5 hours per week) fixed term basis with an expected start date of January/February 2027.

For an informal discussion about the role, please contact Professor Min Pan at [e-mail] .

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.

We're continually expanding our benefits package to better support you and enhance your experience with us and the below is just an example of some of the many great benefits we offer:

• Generous annual leave allowance with an additional 5 discretionary days so that you can enjoy a positive work life balance
• Generous employer contributory pension schemes
• Cycle to work scheme
• Electric vehicle salary sacrifice scheme
• Staff discount at Team Bath gym
• Staff benefits include discounted postgraduate tuition and language courses, alongside a wide range of personal and professional development opportunities such as apprenticeships, LinkedIn Learning, and more
• Local discounts, including free entry to the Holburne Museum in Bath
• An excellent reward package that recognises the talents of our diverse workforce
• Employee assistance services through Health Assured, including access to the Wisdom app

We’re committed to creating a health-supporting working environment where everyone can thrive and be at their best. We offer a range of resources to enable you to do that from your first day here, including:

• Staff support groups and networks
• A network of Staff Wellbeing Champions
• A suite of tools, resources and frameworks that enable you to be at your best and thrive

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.