At a Glance
- Tasks: Lead research on innovative wearable sensors for monitoring Parkinson's tremors.
- Company: Join Heriot-Watt University, a leader in engineering and technology.
- Benefits: Enjoy 33 days of annual leave, competitive salary, and professional development opportunities.
- Why this job: Make a real impact in healthcare with cutting-edge technology and research.
- Qualifications: PhD or equivalent experience in biomedical engineering or related fields.
- Other info: Collaborative environment with excellent career growth and networking opportunities.
The predicted salary is between 26000 - 36000 £ per year.
Research Assistant / Associate, School of Engineering and Physical Sciences, Institute of Sensors, Signals and Systems
Grade and Salary: Grade 6 £31,236 - £36,636; Grade 7 £37,694 - £47,389 (Grade depends on experience)
Contract details: Fixed term for 13 months, full time
Holiday Entitlement: 33 days annual leave plus 9 buildings closed days (and Christmas Eve when it falls on a weekday)
Job Purpose: To make a leading contribution to PD-WATCH, a project funded through the Tay Health Tech Grand Challenge, focused on the development and clinical validation of a miniaturised, flexible wearable patch for continuous tremor monitoring in Parkinson’s disease. Working with Dr Anne Bernassau and Prof Marc Desmulliez, the PDRA will support hardware optimisation, data acquisition, machine-learning pipelines for tremor classification, and clinical validation in collaboration with NHS Lothian. The successful candidate will contribute to experimental design, data analysis, the preparation of publications, and support management of this interdisciplinary project.
Main Duties And Responsibilities:
- Take a leading role in the planning and conduct of assigned research individually or jointly in accordance with the project deliverables and project strategy. This includes hardware refinement, tremor-signal acquisition, and algorithm development.
- Characterisation analysis and interpretation of tremor data, including maintenance of datasets, documentation, drafting technical reports and scientific publications.
- Establish and maintain your research profile in sensor systems, biomedical signal processing, wearable technologies, or related fields, through publications and research dissemination.
- Survey the research literature and environment, understand the research challenges associated with the project and subject area, and develop/implement a suitable research strategy.
- Presentation of work at international and national conferences, at internal and external seminars, colloquia and workshops to develop and enhance our research profile.
- Take a leading role in developing and maintaining collaborations with colleagues across the research group/School/College/University and broader community of academic and industrial partners.
- Take a leading role in team/group meetings/seminars/workshops and School research group activities to enhance the wider knowledge, outputs and culture of the School/College.
- Take the lead in the organisation, supervision, mentoring and training of undergraduate and/or postgraduate students and less experienced members of the project team to ensure their effective development.
- Perform administrative tasks related to the activities of the research group and School, including Budgets/Expenditure.
- Keep up to date with current knowledge and recent advances in the field/discipline.
- Engage in personal, professional and career development, to enhance both specialist and transferable skills in accordance with desired career trajectory.
- Undertake any other reasonable duties as required by the Head of School/Director of Research Institute.
- Contribute to the enhancement of the University’s international profile in line with the University Strategy.
For Appointment At Grade 7:
- Take the lead in identifying and attracting new sources of independent and external research funding and researchers into this research area as opportunities permit to support future research.
- Present research findings at high-profile national and international conferences, seminars and meetings to raise the profile of the research group to enhance the research strength of the School.
- Make a leading contribution to the management of the team/project and sustain an enhanced level of academic outputs and profile.
Essential Knowledge, Qualifications, Skills and Experience:
Knowledge and Qualifications:
- A1 Normally Scottish Credit and Qualification Framework level 12 (PhD) or alternatively possess the equivalent in professional qualifications and experience, with experience of personal development in a similar or related role(s).
- A2 A comprehensive and up-to-date knowledge of current issues and future directions within the field of inertial sensing, biomedical signal analysis, wearable devices, or related technical areas.
- A3 Evidenced Track Record In Analytical Ability And Data-processing Skills Relevant To Tremor Or Movement-disorder Data.
For Appointment At Grade 7 The Following Are Also Required:
- A4 Specialist theoretical and practical knowledge in biomedical sensing, wearable systems, tremor analysis, or movement-disorder signal processing.
- A5 Knowledge of advanced machine-learning or deep-learning approaches for biosignal analysis.
- A6 Understanding of technologies relevant to real-world deployments, such as embedded systems design, firmware programming, or low-power sensor design.
Grade 6 - Skills Essential:
- C1 Research or Industrial creativity and strong cross-discipline collaborative ability
- C2 Excellent communication skills (oral and written), including public presentations and ability to communicate complex data/concepts clearly and concisely
- C3 Excellent interpersonal skills including team working and a collegiate approach
- C4 Appropriate workload/time/project/budget/people management skills
- C5 Extensive IT and data analysis/interpretation skills as appropriate
- C6 Self-motivation, initiative and independent thought/working
- C7 Problem solving skills including a flexible and pragmatic approach
- C8 Good Team Leadership skills including demonstrable supervisory skills
Grade 7 - Skills Essential:
- C9 Evidence of expertise in wearable-sensor development, embedded systems, or advanced data analysis.
- C10 Able to work both individually as well as part of a team and manage staff members as appropriate to disseminate findings to colleagues
- C11 Strong cross-discipline collaborative ability, including evidence of working across industry and academia;
- C12 Able to work in both industrial and academic environments with a good understanding of key legislative and process frameworks and/or industrial technology and approaches.
Experience Essential:
- E1 Sufficient depth of relevant research or industrial experience, including postdoctoral experience in biomedical engineering or closely related industrial applications, at a level appropriate for an early-career researcher.
- E2 Evidenced track record in analysing sensor or time-series biomedical data.
- E3 Proven ability to deliver quality outputs in a timely and efficient manner.
- E4 A track record of presentation and publication of research results in quality publications/conferences.
- E5 Experience of making a leading contribution in academic activities.
- E6 Ability to demonstrate a degree of independence as illustrated by identification of project objectives from assessment of the literature, design & analysis of experiments & drafting of papers.
- E7 Experience in undertaking independent research.
- E8 Commitment to open research, as appropriate to the discipline, through open data, open code, open educational resources and practices that support replication.
- E9 Proven Commitment To Supporting The Career Development Of Colleagues And To Other Forms Of Collegiality Appropriate To The Career Stage.
- E10 Experience of independence as illustrated by identification of project objectives from assessment of literature, design and analysis of research data and drafting of papers.
How To Apply: Applications can be submitted up to midnight (UK time) on. Please submit your CV & covering letter via the Heriot-Watt on-line recruitment.
Heriot-Watt University is committed to securing equality of opportunity in employment and to the creation of an environment in which individuals are selected, trained, promoted, appraised, and otherwise treated on the sole basis of their relevant merits and abilities. Equality and diversity are all about maximising potential and creating a culture of inclusion for all.
For more information, please see our website here and also our award-winning work in Disability Inclusive Science Careers here.
Use our total rewards calculator: here to see the value of benefits provided by Heriot-Watt University.
About Heriot-Watt University: At Heriot-Watt we are passionate about our values and look to them to connect our people globally and to help us collaborate and celebrate our success through working together. Our research programmes can deliver real world impact which is achieved through the diversity of our international community and the recognition of creative talent that connects our global team. Our flourishing community will give you the freedom to challenge and to bring your enterprising mind and to help our partners with solutions that can be applied now and in the future. Join us and Heriot Watt will provide you with a platform to thrive and work in a way that also helps you live your life in balance with well-being and inclusiveness at the heart of our global community.
Postdoctoral Research Associate in Wearable Sensors in Kilmarnock employer: Heriot-Watt University
Contact Detail:
Heriot-Watt University Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Postdoctoral Research Associate in Wearable Sensors in Kilmarnock
✨Tip Number 1
Network like a pro! Reach out to your connections in the field of wearable sensors and biomedical engineering. Attend conferences, workshops, or even local meetups to make those valuable contacts that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your previous work, especially any projects related to wearable technologies or data analysis. This will give potential employers a clear idea of what you can bring to the table.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing common questions related to your expertise in sensor systems and machine learning. The more comfortable you are, the better you'll perform when it counts.
✨Tip Number 4
Apply through our website! We encourage you to submit your application directly on our platform. It’s a great way to ensure your CV gets seen by the right people and shows your enthusiasm for joining our team.
We think you need these skills to ace Postdoctoral Research Associate in Wearable Sensors in Kilmarnock
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Postdoctoral Research Associate in Wearable Sensors. Highlight relevant experience, especially in biomedical engineering and wearable technologies, to show us you’re the right fit for the PD-WATCH project.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about this research area. Share specific examples of your past work that align with the project goals, and don’t forget to mention your collaborative spirit!
Showcase Your Skills: We want to see your analytical ability and data-processing skills shine through. Include any relevant projects or publications that demonstrate your expertise in tremor analysis or machine learning approaches.
Apply Through Our Website: Don’t forget to submit your application via our website! It’s the best way for us to receive your materials and ensures you’re considered for this exciting opportunity at Heriot-Watt University.
How to prepare for a job interview at Heriot-Watt University
✨Know Your Project Inside Out
Before the interview, dive deep into the PD-WATCH project details. Understand its goals, the technology involved, and how your skills can contribute to its success. This will not only show your enthusiasm but also help you answer questions more effectively.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with wearable sensors, data analysis, and machine learning. Bring examples of past projects or research that highlight your analytical abilities and problem-solving skills. This is your chance to shine!
✨Prepare for Collaborative Questions
Since teamwork is crucial in this role, think of examples where you've successfully collaborated with others. Be ready to discuss how you’ve contributed to team dynamics and supported colleagues in their development.
✨Ask Insightful Questions
At the end of the interview, ask thoughtful questions about the project, the team, or future directions in wearable technology. This shows your genuine interest and helps you gauge if the role aligns with your career goals.