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The University of Edinburgh
The University of Edinburgh

Research Associate in Physical Intelligence

City of Edinburgh On-site 2-5 yrs exp£41k – £49k / year
RoboticsMachine learningSignal processingSoft sensingEmbodied intelligence

Requirements

Candidates must hold or be near completion of a PhD in robotics, engineering, computer science, or a related discipline. Strong research experience in at least two relevant technical areas and a track record of experimental validation on physical systems are required.

Job Description

Job Description

Grade UE07: £41,064 to £48,822 per annum

School of Engineering / CSE

Full-Time: 35 hours per week

Fixed-term: for up to 24 months

The Opportunity

Where curiosity becomes impact

With roles from hospitality to research, there’s a career for everyone at the University of Edinburgh. We can offer opportunities for you to develop in your career and make a real difference in the communities around us while contributing to the world at large.

We offer careers and roles in just about every area you can think of. Whether you are looking for entry-level, mid-career or roles at the top of your chosen specialism, we can offer you a career where you can flourish and make a real difference in the communities around us while 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 isn’t just any employer. We are part of a local community and a contributor to global thinking, progress and research. In Edinburgh, you are in one of the world’s most attractive cities with active arts and social sectors, while working in a University that has made significant contributions to society, medicine, physics and teaching for over four centuries. Our people have helped create the modern world and are working on more ground-breaking technologies and practices. Join the University of Edinburgh and you’ll be making a difference to everything around you

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 successful candidate will conduct research at the interface of soft sensing, robotics, machine learning and signal processing, with the aim of developing physical intelligence for next-generation soft and embodied robotic systems. The research will involve developing sensing and perception methods that enable robots to understand their own body state and interactions with the physical environment, and integrating these capabilities into robotic platforms for extensive experimental validation.

The Research Associate will work within an interdisciplinary research team spanning sensing, robotics, electronics and artificial intelligence, and will be encouraged to develop and lead new research ideas arising from the ERC project.

Your Skills And Attributes For Success

  • A PhD, or near completion of a PhD, in robotics, electrical/electronic engineering, mechanical engineering, computer science, biomedical engineering, or a closely related discipline.
  • Strong research experience in at least two of the following areas: soft/flexible sensors, robotics, machine learning, signal processing, or embodied/physical intelligence.
  • Experience in developing and experimentally validating sensing, perception or learning methods on physical robotic or mechatronic systems.
  • A strong track record of research appropriate to career stage, together with excellent problem-solving, communication and collaborative working skills.

People have always been at the heart of our work. As part of the University, you are a part of our community. We are looking for people with drive, determination, and a passion for what they do. We are a place where everyone is welcome and offer a range of policies and benefits designed to support you in building the right meaningful/personalised flexibility for you.

A career with us has a range of other benefits that can be tailored to your lifestyle:

  • Professional development and subject matter expertise
  • Leading-edge research
  • Excellent benefits and support
  • Contributing to the work and purpose of the University

This post is full time (35 hours per week). Due to the experimental nature of the research, the role will require regular on-campus laboratory work.

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How To Apply

Please include the following documents in your application:

  • CV, including a full list of publications
  • Cover letter outlining your relevant research experience and explaining how your background aligns with the research areas of physical intelligence, soft sensing, robotics, machine learning and/or signal processing

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. Check out the full list on our staff benefits page (opens in a new tab) and use our reward calculator to discover the value of your pay and benefits.

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.

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 (opens new browser tab)

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 5 October 2026.

Unless stated otherwise the closing time for applications is 11:59pm UK time. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone.

Interview dates to be confirmed.

About Us

As a world-leading research-intensive University, we are here to address tomorrow’s greatest challenges. Between now and 2030 we will do that with a values-led approach to teaching, research and innovation, and through the strength of our relationships, both locally and globally.

About The Team

Engineering has been taught at Edinburgh in one form or another since 1673. In 2002, the present School of Engineering was formed from the previously existing departments of Chemical Engineering, Civil Engineering, Electronics and Electrical Engineering, and Mechanical Engineering. Since then, the School has grown from strength to strength, growing rapidly in the last 5 years, now having the largest number of students among the seven Schools in the College of Science and Engineering, offering undergraduate degree programmes across all disciplines and taught Masters courses in niche areas. All of the undergraduate degree programmes are accredited by the relevant professional institutions.

The School of Engineering addresses diverse complex challenges across the entire field of engineering, at the micro- and macro/global scales. At the microscopic scale, its research supports the design and deployment of novel nanotechnology and devices for biological monitoring and medical diagnosis; at the macro/global scale, it optimises the security and sustainability of the built environment and develops engineering solutions to climate change issues. In REF 2021 the joint submission from the University of Edinburgh and Heriot-Watt University to General Engineering was ranked 1st in Scotland and 3rd in the UK for quality and breadth of research. The ranking cited is based upon the breadth and quality of research which apply standard formula (as used by the Times Higher Education) to the REF 2021 results.

The School has a strong track record in producing more than 50 technology spin-outs and developing industry links that enable our graduates to build career-long relationships. Current research income in the School was c.£22.0M in 2020/21.

We aim to ensure that our culture and systems support flexible and family-friendly working and recognise and value diversity across all our staff and students. The School has an active programme offering support and professional development for all staff; providing mentoring, training, and networking opportunities.

The School of Engineering holds a bronze Athena SWAN award, in recognition of our commitment to advance gender equality in higher education & research.

Further information, including details of undergraduate & postgraduate taught programmes: www.eng.ed.ac.uk

Education

Postgraduate Degree

Skills

RoboticsMachine learningSignal processingSoft sensingEmbodied intelligencePhysical intelligenceMechatronicsElectronicsArtificial intelligenceExperimental validationPerception methodsProblem-solvingCommunicationCollaborative working