At a Glance
- Tasks: Join our team to conduct innovative research in machine learning for health data.
- Company: Be part of the University of Edinburgh, a leading research institution with a vibrant community.
- Benefits: Enjoy competitive salary, flexible working options, and comprehensive staff benefits.
- Other info: Open to part-time and hybrid working arrangements; applications close on 21 July 2025.
- Why this job: Contribute to impactful projects that improve health and rehabilitation through technology.
- Qualifications: MSc or PhD in relevant fields; strong programming and presentation skills required.
The predicted salary is between 29000 - 35000 £ per year.
Grade UE06: £34,132 to £39,355 or UE07: £40,497 to £48,149 per annum, pro-rata if part time
College of Science and Engineering / School of Informatics
Full-time: 35 hours per week
Fixed term: to 31 October 2026
The School of Informatics, University of Edinburgh invites applications for two posts, which can be appointed at either Research Assistant or Research Associate levels, to contribute to cutting-edge research in machine learning for time series health and care data with opportunities for innovation, interdisciplinary collaboration, and career development.
The MoveR Laboratory at the University of Edinburgh (mover.ed.ac.uk) is a multidisciplinary research hub focused on improving movement, rehabilitation, and physical health across the life course. Combining expertise in engineering, informatics, medicine, and social science, MoveR develops low-cost, people-centred digital technologies that address real-world needs in health and care.
At its core is the MoveR Wearable, a bespoke, affordable sensor platform that captures rich movement, physiological, and behavioural data, supporting on-device machine learning and remote monitoring. The lab explores digital biomarkers and predictive analytics to support conditions such as Parkinson’s, stroke, cerebral palsy, and post-operative recovery. Research areas span biomechanical modelling, physical activity analysis, and digital phenotyping using edge computing.
MoveR collaborates extensively with industry, healthcare providers, and the public, translating research into products and services through partnerships and innovation funding. The team, led by Prof. Kia Nazarpour, includes researchers with expertise in AI, sensor systems, co-design, and translational health tech.
We are currently recruiting for two full-time positions at Grades UE06 (Research Assistant) or Grade UE07 (Research Associate) to join our team. These posts are full-time (35 hours per week); however, we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.
Your Skills And Attributes For Success
- For the UE06 Research Assistant position:
- An MSc (or equivalent) in broad areas of informatics, engineering, physics, or other natural, biological, or medical sciences or equivalent work experience
- Background in “time-series analysis and machine learning” or “Machine learning in electronic hardware including circuit design and fabrication”
- Strong programming skills, ideally including Python
- Strong presentation skills
- Proactive approach to building partnerships
- Experience of writing proposals for funding/investment
- For The UE07 Research Associate Position:
- A PhD in broad areas of informatics, engineering, physics, or other natural, biological, or medical sciences or equivalent work experience
- Background in “time-series analysis and machine learning” or “Machine learning in electronic hardware including circuit design and fabrication”
- Full understanding and experience of co-creation, co-design in digital health and care
- Track record of innovative (beyond ordinary) research work in the higher education, health, care sectors, evidenced by publications, e.g. patents
- Strong presentation skills
- Proactive approach to building strategic partnerships with stakeholders
- Experience of writing proposals for funding/investment
Application Information
Please ensure you include the following documents in your application:
- CV
- Cover letter
- Contact details for enquiries: Prof Kia Nazarpour
Feedback is only provided to interviewed candidates.
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, such as a generous holiday entitlement, competitive pension schemes, staff discounts, and family-friendly initiatives.
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 21 July 2025. Unless stated otherwise the closing time for applications is 11:59pm GMT. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browser's local time zone.
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
Informatics is the study of how natural and artificial systems store, process and communicate information. Research in Informatics promises to take information technology to a new level, and to place information at the heart of 21st century science, technology and society. The School enjoys collaborations across many disciplines in the University, spanning all three Colleges, and also participates as a strategic partner in the Alan Turing Institute and, with Heriot-Watt University, in the Edinburgh Centre for Robotics.
The School provides a fertile environment for a wide range of studies focused on understanding computation in both artificial and natural systems. It attracts students around the world to study in our undergraduate and postgraduate programmes, and currently has approximately 1000 undergraduate students, 320 MSc students and 350 PhD students. Informatics is one of seven schools in the College of Science and Engineering, at the University of Edinburgh. It is recognised for the employability of its graduates (demand exceeds supply), its contributions to entrepreneurship, and the excellence of its research.
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.
Research Assistant or Research Associate employer: The University of Edinburgh
The University of Edinburgh offers an exceptional work environment for Research Assistants and Associates, fostering a culture of innovation and collaboration within the cutting-edge MoveR Laboratory. Employees benefit from competitive salaries, comprehensive staff benefits, and a commitment to equality, diversity, and inclusion, all while contributing to impactful research that addresses real-world health challenges. With ample opportunities for professional growth and a vibrant international community, this role is ideal for those seeking meaningful and rewarding employment in a prestigious academic setting.
Contact Details:
The University of Edinburgh Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Research Assistant or Research Associate
✨Tip Number 1
Familiarise yourself with the MoveR Laboratory's current projects and research focus. Understanding their work on machine learning for health data will help you tailor your conversations and demonstrate genuine interest during interviews.
✨Tip Number 2
Network with professionals in the field of informatics and health tech. Attend relevant conferences or webinars where you can meet researchers from the University of Edinburgh, as personal connections can often lead to job opportunities.
✨Tip Number 3
Prepare to discuss your experience with time-series analysis and machine learning in detail. Be ready to share specific examples of your work, as this will showcase your expertise and fit for the role.
✨Tip Number 4
Highlight any collaborative projects you've been involved in, especially those that required co-design or partnerships with stakeholders. This aligns well with the lab's focus on interdisciplinary collaboration and will strengthen your application.
We think you need these skills to ace Research Assistant or Research Associate
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience and skills that align with the job description. Focus on your background in time-series analysis, machine learning, and any programming skills, particularly in Python.
Craft a Compelling Cover Letter:Your cover letter should not only express your enthusiasm for the role but also demonstrate how your qualifications and experiences make you a perfect fit for the Research Assistant or Associate position. Mention specific projects or research that relate to the MoveR Laboratory's focus.
Highlight Collaborative Experience:Since the role involves interdisciplinary collaboration, emphasise any past experiences where you've worked in teams across different fields. This could include co-creation or co-design projects in digital health and care.
Proofread and Edit:Before submitting your application, thoroughly proofread your documents. Check for grammatical errors, clarity, and ensure that all required information is included. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at The University of Edinburgh
✨Showcase Your Technical Skills
Make sure to highlight your programming skills, especially in Python, as well as your experience with time-series analysis and machine learning. Be prepared to discuss specific projects or experiences where you applied these skills.
✨Demonstrate Collaborative Experience
Since the role involves interdisciplinary collaboration, share examples of how you've worked effectively in teams. Discuss any co-creation or co-design experiences in digital health and care, as this will resonate well with the interviewers.
✨Prepare for Innovative Research Discussion
Be ready to talk about your innovative research work, particularly any publications or patents. This is crucial for the Research Associate position, so emphasise your contributions to the field and how they align with the lab's focus on cutting-edge technology.
✨Ask Insightful Questions
Prepare thoughtful questions about the MoveR Laboratory's current projects and future directions. This shows your genuine interest in the role and helps you assess if the environment aligns with your career goals.
