Research Associate in Physical Intelligence in Edinburgh

Research Associate in Physical Intelligence in Edinburgh

Edinburgh Full-Time 48822 - 48822 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Conduct cutting-edge research in robotics and machine learning to develop physical intelligence.
  • Company: Join the University of Edinburgh, a world-class institution with a vibrant community.
  • Benefits: Competitive salary, generous leave, flexible work options, and professional development opportunities.
  • Other info: Be part of a diverse community committed to equality and innovation.
  • Why this job: Make a real impact in robotics while collaborating with an interdisciplinary team.
  • Qualifications: PhD or near completion in relevant fields with strong research experience.

The predicted salary is between 48822 - 48822 £ per year.

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 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.

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.

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.

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 browser's local time zone. Interview dates to be confirmed.

Research Associate in Physical Intelligence in Edinburgh employer: University of Edinburgh

The University of Edinburgh is an exceptional employer, offering a vibrant and inclusive work culture where every team member is valued. As an Operations Supervisor, you will enjoy a competitive salary, comprehensive benefits, and opportunities for professional growth while contributing to a world-class institution that prioritises community impact and diversity. With award-winning facilities and a commitment to equality, this role provides a unique chance to make a meaningful difference in the lives of students and visitors alike.

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Contact Details:

University of Edinburgh Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Research Associate in Physical Intelligence in Edinburgh

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We think you need these skills to ace Research Associate in Physical Intelligence in Edinburgh

PhD in robotics, electrical/electronic engineering, mechanical engineering, computer science, biomedical engineering, or a closely related discipline
Research experience in soft/flexible sensors
Research experience in robotics
Research experience in machine learning
Research experience in signal processing
Research experience in embodied/physical intelligence
Development and experimental validation of sensing methods

Some tips for your application 🫡

Showcase Your Technical Expertise:When applying for an engineering role like Research Associate in Physical Intelligence, it’s essential to highlight your technical skills. Include any relevant software or tools you're proficient in on your CV—think CAD software, simulation tools, or programming languages. Don't skimp on any engineering projects you've worked on that demonstrate your ability to solve complex problems.

Focus on Results and Impact:In the engineering world, we love numbers and real-world impact. Quantify your achievements wherever possible—like reducing costs by a certain percentage, improving efficiency, or successfully completing a project ahead of schedule. This gives your future employers at University of Edinburgh a clear picture of the value you can bring.

Craft a Compelling Cover Letter:Use your cover letter to express your passion for engineering and explain why you’re drawn to University of Edinburgh specifically. Share what aspects of their work excite you and how your values align with theirs. This is your chance to show a bit of personality while keeping it professional!

Include Relevant Certifications:If you have any engineering certifications, especially ones that are recognised in your field, make sure to feature them prominently on your CV. They demonstrate not just your knowledge, but also your commitment to professional development, which is something we at StudySmarter value highly.

How to prepare for a job interview at University of Edinburgh

Brush Up on Core Engineering Principles

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Show Off Your Problem-Solving Skills

Expect technical questions or case studies during your interview—after all, engineering is all about solving problems! Prepare a few examples of how you've tackled engineering challenges in the past, whether at university or in any practical experience. Practising with mock technical interviews can really help you articulate your thought process and solutions.

Relate Your Experience to the Role

In a full-time role, employers like University of Edinburgh want to see that you can adapt and grow within their team. Be ready to discuss how your previous internships, projects, or studies relate directly to the work you'll be doing. Highlight specific experiences that showcase your collaborative skills and how you've successfully worked within a team environment.

Know Your Tools and Software

Most engineering roles require familiarity with specific tools and software. Prepare to talk about your proficiency with programmes like AutoCAD, MATLAB, or SolidWorks if they’re relevant to the role. Even better, have examples of projects where you’ve used these tools, as it'll demonstrate your hands-on experience and readiness for the job.