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- Tasks: Join us as a Research Fellow to develop decentralised algorithms for efficient data search.
- Company: Be part of the University of Southampton, a leading institution in electronics and computer science.
- Benefits: Enjoy full-time hours, collaborative projects, and access to cutting-edge research facilities.
- Why this job: Contribute to impactful research while working with top professors and industry partners.
- Qualifications: PhD in computer science or equivalent experience required; expertise in Linked Data is essential.
- Other info: Position is for 12 months, with opportunities for professional growth and networking.
The predicted salary is between 36000 - 60000 £ per year.
Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Established Researcher (R3) Country United Kingdom Application Deadline 25 Aug 2025 – 00:00 (UTC) Type of Contract Other Job Status Full-time 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
The post is full-time for 12 months.
We are seeking a researcher to work on the EPSRC-funded ESPRESSO project (“Efficient Search over Personal Repositories – Secure and Sovereign”).
The post is based at the School of Electronics and Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing techniques to enable large-scale data search across Personal Online Datastores (pods) hosted on distributed pod servers, addressing both keyword-based search and SPARQL querying. EPRESSO will build on and extend existing frameworks and systems such as SOLID, NSS, Dataswyft/HAT, gtk-gnutella, Gaian DB.
You will be working with Professors Thanassis Tiropanis and Adriane Chapman (University of Southampton), Professors Alexandra Poulovassilis and George Roussos (Birkbeck, University of London), as well as our partner organisations (Dataswyft and the NExT++ Centre, Singapore), the broader research community, and industry stakeholders and will be responsible for research on distributed query processing and information retrieval for text and RDF files. Experience in Linked Data and Semantic Web technologies is essential, while familiarity with approaches related to redecentralisation of the Web and testbed development is highly desirable. This research will also involve the use of benchmarks and the generation of synthetic datasets for experimentation in the domain on health and wellbeing. In addition, the post will involve administrative tasks associated with the running of the project and the requirements of our funders.
It is essential that you have a PhD in computer science, or equivalent professional qualifications and experience; ideally your PhD or equivalent professional qualifications and experience will be in distributed database systems, information retrieval, computer networking or semantic web.
The post does not involve working outside of the UK for over 30 days in a row or over 90 days in a year.
*Applications will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon completion of PhD. Prior to the qualification being awarded the title ofSenior Research Assistantwill be given.
Working at the University of Southampton:
Check out thestaff benefits and why you should join us at The University of Southampton!
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Research Fellow, School of Electronics and Computer Science employer: Unist
Contact Detail:
Unist Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Fellow, School of Electronics and Computer Science
✨Tip Number 1
Network with current and former researchers in the field of distributed database systems and semantic web technologies. Attend relevant conferences or workshops where you can meet professionals from the University of Southampton and partner organisations. This can help you gain insights into the research culture and potentially get a referral.
✨Tip Number 2
Familiarise yourself with the EPSRC-funded ESPRESSO project and its objectives. Understanding the project's goals and methodologies will allow you to tailor your discussions during interviews, demonstrating your genuine interest and knowledge about the work you'll be involved in.
✨Tip Number 3
Engage with the broader research community by contributing to online forums or publications related to decentralised algorithms and information retrieval. This not only showcases your expertise but also helps you stay updated on the latest trends and challenges in the field.
✨Tip Number 4
Prepare to discuss your experience with Linked Data and Semantic Web technologies in detail. Be ready to provide examples of past projects or research that align with the requirements of the position, as this will highlight your suitability for the role.
We think you need these skills to ace Research Fellow, School of Electronics and Computer Science
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the specific requirements and responsibilities of the Research Fellow position. Pay attention to the skills needed, such as experience in Linked Data and Semantic Web technologies.
Tailor Your CV: Customise your CV to highlight relevant experience and qualifications that align with the job. Emphasise your PhD work, especially if it relates to distributed database systems or information retrieval.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you are a great fit for the role. Mention your research interests, any relevant projects you've worked on, and how they relate to the EPSRC-funded ESPRESSO project.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for spelling and grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at Unist
✨Understand the Project
Familiarise yourself with the EPSRC-funded ESPRESSO project and its objectives. Be prepared to discuss how your skills in decentralised algorithms and information retrieval can contribute to the project's success.
✨Showcase Relevant Experience
Highlight your experience with Linked Data, Semantic Web technologies, and distributed database systems. Be ready to provide examples of past projects or research that align with the job requirements.
✨Prepare for Technical Questions
Expect technical questions related to query processing and data structures. Brush up on your knowledge of SPARQL querying and keyword-based search techniques to demonstrate your expertise.
✨Engage with the Interviewers
The interviewers will likely be professors and industry stakeholders. Engage them with thoughtful questions about their research and the project's direction, showing your enthusiasm and interest in collaboration.
