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- Tasks: Join us as a Research Fellow to innovate health analytics using machine learning and transprecise computing.
- Company: Queen's University Belfast is a leading research institution committed to equality and diversity.
- Benefits: Enjoy flexible working, generous holiday, pension schemes, and opportunities for personal development.
- Why this job: Be part of a cutting-edge project with real-world impact in health technology and sustainability.
- Qualifications: PhD in relevant fields and experience in high-performance or distributed computing required.
- Other info: This is an 18-month fixed-term role with potential for renewal based on funding.
The predicted salary is between 36000 - 60000 £ per year.
Organisation/Company Queen\’s University Belfast Research Field Computer science » Other Researcher Profile Recognised Researcher (R2) Country United Kingdom Application Deadline 1 Sep 2025 – 00:00 (UTC) Type of Contract To be defined Job Status Negotiable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
Offer Description
We are seeking a Research Fellow to perform research on deployment of machine-learned models for health analytics on distributed IoT/edge/cloud systems using transprecise computing and contribute to the research project “Sustainable Wearable Edge InTelligence (SWEET)”.
The successful candidate will develop theoretical concepts in transprecise computing in the application domain of health analytics using machine learning, and for precision-aware scheduling in distributed systems. They will design, develop and refine a software prototype system for distributed serving of machine learning models that leverage the concepts of transprecise computing to achieve the target constraints on performance, timeliness, power consumption and accuracy and undertake research under supervision within the SWEET research project.
About the person:
The successful candidate must have, and your application should clearly demonstrate that you meet the following criteria:
Have, or be about to obtain, a relevant PhD. Relevant areas include high-performance computing, middleware and computing systems.
Recent relevant research experience to include:
Undertaking research in the area of high-performance / distributed / parallel computing or middleware
A proven track record of using experimental models to carry out analyses, critical evaluations, and interpretations of experimental data as relevant to the research project
Working effectively as part of a research team in the development and promotion of the research theme
Strong publication record commensurate with stage of career.
To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information.
This post is available for 18 months. Fixed term contract posts are available for the stated period in the first instance but in particular circumstances may be renewed or made permanent subject to availability of funding.
What we offer:
Beyond a competitive salary, the University offers an attractive benefits package including a holiday entitlement of up to 8.4 weeks a year, pension schemes and development opportunities. We support staff wellbeing with flexible working options, work-life balance initiatives and support for physical and mental health. You can find more detail on all of this and more at https://www.qub.ac.uk/directorates/HumanResources/pay-reward-and-benefits/ .
Queen\’s University is committed to promoting equality of opportunity to all. We subscribe to Equality Charter Marks such as the Diversity Charter Mark NI and Athena Swan and have established staff networks such as iRise (Black, Asian, Minority Ethnic and International Staff Network) and PRISM (LGBTQ+) which help us progress equality.
If you are an international applicant and don\’t already hold a visa that permits you to take up the role you are applying for, please use the information provided on our website to self-assess whether the University is likely to be able to support a visa application – https://go.qub.ac.uk/internationalstaffsupport .
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Research Fellow - US-Ireland project \"Sustainable Wearable Edge InTelligence (SWEET)\" employer: Queen's University Belfast
Contact Detail:
Queen's University Belfast Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Fellow - US-Ireland project \"Sustainable Wearable Edge InTelligence (SWEET)\"
✨Tip Number 1
Familiarise yourself with the latest advancements in transprecise computing and health analytics. This will not only help you understand the project's goals but also allow you to engage in meaningful discussions during interviews.
✨Tip Number 2
Network with current researchers or alumni from Queen's University Belfast who have worked on similar projects. They can provide insights into the research culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Prepare to discuss your previous research experiences in detail, especially those related to high-performance computing and distributed systems. Be ready to explain how your work aligns with the objectives of the SWEET project.
✨Tip Number 4
Stay updated on the latest publications in the field of machine learning and IoT systems. Being knowledgeable about recent studies can help you demonstrate your commitment to the field and your potential contributions to the research team.
We think you need these skills to ace Research Fellow - US-Ireland project \"Sustainable Wearable Edge InTelligence (SWEET)\"
Some tips for your application 🫡
Understand the Role: Thoroughly read the job description for the Research Fellow position. Make sure you understand the key responsibilities, required qualifications, and the specific research focus on machine-learned models for health analytics.
Highlight Relevant Experience: In your application, clearly demonstrate how your previous research experience aligns with the requirements of the role. Focus on your work in high-performance computing, distributed systems, and any relevant publications.
Tailor Your CV and Cover Letter: Customise your CV and cover letter to reflect the skills and experiences that are most relevant to the SWEET project. Use specific examples to illustrate your expertise in transprecise computing and machine learning.
Follow Application Guidelines: Ensure you follow any specific application guidelines provided by Queen's University Belfast. This includes submitting all required documents and adhering to the application deadline of 1 September 2025.
How to prepare for a job interview at Queen's University Belfast
✨Showcase Your Research Experience
Make sure to highlight your recent research experience in high-performance computing or middleware. Be prepared to discuss specific projects you've worked on, the methodologies you used, and the outcomes of your research.
✨Demonstrate Team Collaboration Skills
Since the role involves working as part of a research team, be ready to share examples of how you've effectively collaborated with others. Discuss any challenges you faced and how you overcame them to contribute to the team's success.
✨Prepare for Technical Questions
Expect technical questions related to machine learning, distributed systems, and transprecise computing. Brush up on key concepts and be ready to explain how they apply to health analytics and the SWEET project.
✨Align Your Goals with the Project
Research the SWEET project and understand its objectives. Be prepared to articulate how your skills and career goals align with the project's aims, demonstrating your enthusiasm and commitment to contributing to its success.
