At a Glance
- Tasks: Join a pioneering team to develop robotics and AI for healthcare, focusing on sports medicine.
- Company: Be part of the University of Oxford's innovative Podium Institute for Sports Medicine.
- Benefits: Competitive salary, potential for extended contract, and collaboration with world-leading experts.
- Other info: Dynamic research environment with opportunities for career growth and interdisciplinary collaboration.
- Why this job: Make a real impact on health and safety in community sports through cutting-edge technology.
- Qualifications: PhD/DPhil in relevant fields and programming skills in Python, MATLAB, or C/C++ required.
The predicted salary is between 40000 - 55000 £ per year.
We are seeking to appoint a highly motivated Senior Research Associate in Robotics and Artificial Intelligence (AI) for Healthcare, to work within the recently established Podium Institute for Sports Medicine at the University of Oxford. This full-time post is initially fixed term for 1 year and potentially extendable for a further 2 years, subject to funding. The postholder will work under the supervision of Professor Liang He.
Established in October 2022, the Podium Institute sits within the Institute of Biomedical Engineering (IBME) in the University’s Department of Engineering Science and is supported by a £25m 10-year donation to the University. It constitutes a world-unique ecosystem within which to develop and validate new technologies for the diagnosis, prevention, and management of sport injuries, with a particular emphasis on safety rather than performance in the community and youth sport (11-18 years of age).
You will be part of an interdisciplinary team of pioneering researchers, with the primary aim to develop cutting-edge robotics and AI technologies that will revolutionise how we understand and respond to human behaviour in both real-time and long-term contexts. You will play a crucial role in the design and creation of innovative wearable robotics, sensor technologies, or complex algorithms for human behaviour modelling. These may include wearable robotics, smart clothing, and any other relevant robotic technologies.
Your responsibilities will encompass developing new robotic hardware and computational models to interpret and predict human behaviour using soft sensors, wearable exoskeletons, and advanced simulation. You will be expected to devote a substantial portion of your research time to the field of Sports Medicine. Additionally, you will have the chance of working in other areas of soft robotic research for healthcare applications with world-leading engineering and clinical teams who aim to have a real impact on individuals’ lives.
You will hold a relevant PhD/DPhil with post-qualification experience in the field of robotics, biomedical engineering, information engineering, computer science or other field relevant to the proposed area of research. You will also have proven programming experience in Python, MATLAB or C/C++ and experience on programming microcontrollers for wearable devices.
You will help ensure a healthy and vibrant research environment within The Podium Institute for Sports Medicine at the University of Oxford. This will involve leading, devising, coordinating, and supervising research projects in this area, including the work involved in the collaborations with project partners, guidance to researchers and students, and applying for further funding to underpin the research.
Informal enquiries may be addressed to Professor Liang He (liang.he@eng.ox.ac.uk). For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online applications received before midday on Monday, 13 May 2024 can be considered. You will be required to upload your CV, a supporting statement, a research proposal, and the details of two referees as part of your online application. Please read the job description document for more details.
The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.
Senior Research Associate in Robotics and AI for Healthcare in Oxford employer: University of Oxford
The University of Oxford offers an exceptional work environment for the Senior Research Associate in Robotics and AI for Healthcare, fostering a culture of innovation and collaboration within the cutting-edge Podium Institute for Sports Medicine. Employees benefit from access to world-class resources, interdisciplinary teams, and opportunities for professional growth, all while contributing to impactful research that enhances community health and safety in sports. With a strong commitment to diversity and inclusion, as evidenced by its Athena Swan Bronze award, the University is dedicated to creating a supportive atmosphere for all staff members.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Research Associate in Robotics and AI for Healthcare in Oxford
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those connected to the Podium Institute. Attend relevant events or webinars and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or research, make sure to highlight it during interviews. Bring examples of your work with robotics or AI that demonstrate your expertise and passion for healthcare applications.
✨Tip Number 3
Prepare for the interview by diving deep into the latest trends in robotics and AI for healthcare. Be ready to discuss how your experience aligns with the goals of the Podium Institute. We want to see your enthusiasm and knowledge shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Make sure your CV and supporting statement are tailored to the role, showcasing how you can contribute to the innovative work at the Podium Institute.
We think you need these skills to ace Senior Research Associate in Robotics and AI for Healthcare in Oxford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your relevant experience in robotics and AI for healthcare. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Supporting Statement:Your supporting statement is your chance to shine! Use it to explain why you’re passionate about this role and how your background makes you a perfect fit. We love seeing enthusiasm and a clear connection to our mission.
Research Proposal Matters:When writing your research proposal, think about innovative ideas that could contribute to sports medicine. We’re looking for creativity and practicality, so make sure to outline how your work could have a real impact on individuals’ lives.
Don’t Forget Your Referees:Choose referees who can speak to your expertise in robotics and AI. We want to hear about your collaborative spirit and research capabilities, so pick people who know your work well and can vouch for your skills!
How to prepare for a job interview at University of Oxford
✨Know Your Stuff
Make sure you’re well-versed in the latest advancements in robotics and AI, especially as they relate to healthcare. Brush up on your knowledge of wearable technologies and human behaviour modelling, as these will likely be hot topics during your interview.
✨Showcase Your Experience
Prepare to discuss your previous projects in detail, particularly those involving programming in Python, MATLAB, or C/C++. Be ready to explain how your experience aligns with the responsibilities outlined in the job description, such as developing robotic hardware or computational models.
✨Ask Insightful Questions
Demonstrate your interest in the role by preparing thoughtful questions about the Podium Institute’s research focus and future projects. This shows that you’re not just interested in the position, but also in contributing to their mission of improving sports medicine through technology.
✨Be a Team Player
Since you’ll be working in an interdisciplinary team, highlight your collaborative skills. Share examples of how you’ve successfully led or contributed to team projects, and express your enthusiasm for working alongside world-leading engineering and clinical teams.
