At a Glance
- Tasks: Lead the development of AI solutions for early respiratory disease identification.
- Company: Join a pioneering research team at the forefront of AI and healthcare innovation.
- Benefits: Competitive salary, flexible working arrangements, and impactful research opportunities.
- Other info: Collaborative environment with excellent career growth and societal impact.
- Why this job: Make a real difference in healthcare by developing cutting-edge conversational AI technologies.
- Qualifications: Expertise in AI, machine learning, or telecommunications is essential.
The predicted salary is between 48822 - 48822 £ per year.
Working Time: 37.5 hours per week
Post Type: Full Time
Contract Type: Fixed Term (Until 30 November 2028 - to complete specific time limited work)
Are you an ambitious researcher with expertise in artificial intelligence, large language models or retrieval-augmented generation, looking to tackle real-world healthcare challenges? Do you have experience developing and evaluating advanced AI systems and want to translate your research into technologies that can support earlier identification of respiratory disease? Would you like to lead the development of novel conversational AI solutions and real-world demonstrators as part of a major interdisciplinary research project?
We are seeking a highly motivated Research Fellow to join the EPSRC-funded AIRE project, developing next-generation AI systems for early identification of respiratory conditions through telephone-based interactions. You will work at the intersection of artificial intelligence, telecommunications and digital health, contributing to the design of conversational AI capable of conducting clinical history-taking, analysing speech and language signals, and supporting earlier intervention for respiratory disease.
Working with an interdisciplinary team of engineers, computer scientists and healthcare professionals, you will develop and evaluate novel approaches for conversational AI, multimodal machine learning, large language models, speech analytics and clinical decision support. The project aims to improve access to healthcare through scalable, accessible telephone-based assessment technologies, helping identify individuals who may benefit from further clinical investigation.
You should have a strong background in one or more of the following areas: artificial intelligence, machine learning, natural language processing, speech processing, data science, digital health, telecommunications, or software engineering. This is an exciting opportunity to contribute to impactful research with clear societal benefit while working in a collaborative environment at the forefront of AI-enabled healthcare innovation.
This role will be based on the University campus, with scope for it to be undertaken in a hybrid manner. We are open to discussing flexible working arrangements.
To explore the post further or for any queries you may have, please contact Dr. Maryam Hafeez, Associate Professor in Communication Systems and Networks.
Email: [contact email]
Note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information, please visit the Government’s Skilled Worker visa page. For research and academic posts, we will consider eligibility under the Global Talent visa. For more information, please visit the Government’s page, Apply for the Global Talent visa.
£41,064 to £48,822 per annum
Research Fellow in AI-Native Telecommunications Systems in Leeds employer: Collabdemy
Queen Mary University of London is an exceptional employer, offering a vibrant work culture that prioritises diversity and inclusion. As a Clinical Research Fellow in Gastrointestinal Medical Oncology, you will be part of a leading institution renowned for its research excellence and commitment to improving health outcomes in diverse communities. With competitive salaries, generous leave, and extensive professional development opportunities, Queen Mary fosters an environment where employees can thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Research Fellow in AI-Native Telecommunications Systems in Leeds
✨Get Chummy with Industry Events
Dive into telecommunications networking conferences and expos. These are golden opportunities to meet potential employers like Collabdemy and learn about open positions directly from their teams. Keep an eye out for workshops or panels – they’re perfect for showcasing your passion and expertise!
✨Join Networking Communities
Find online forums or local meetups that focus on telecommunications and networking. Sites like LinkedIn Groups or Reddit communities can be great for connecting with professionals in the field. Just remember to participate in discussions – you never know when someone might mention job openings at places like Collabdemy.
✨Showcase Your Skills with Personal Projects
If you’ve got any personal projects or contributions to open-source networking tools, flaunt them! Create a portfolio that showcases your skills relevant to what telecommunication companies are looking for. It’s a great conversation starter during interviews and networking chats.
✨Utilise Online Job Boards Wisely
While we’re all about encouraging you to apply through our website, also keep an eye on job boards specific to tech and telecommunication roles. Websites such as Telecommunication Jobs and TechCareers often list full-time roles that may not appear elsewhere. Just be sure to tailor every application to grab attention – even small tweaks can make a big difference!
We think you need these skills to ace Research Fellow in AI-Native Telecommunications Systems in Leeds
Some tips for your application 🫡
Show Off Your Technical Know-How:When you're applying for a role in telecommunications and networking, it’s crucial to highlight your technical skills. Mention specific technologies you're proficient in, like IP networking, VoIP, or security protocols. Be sure your CV includes any relevant certifications such as CCNA or CompTIA Network+; they really show you've got the chops for the job.
Tailor Your Experience to Match Networking Projects:In your CV and cover letter, don’t just list your past jobs—showcase specific projects that align with the role! If you've worked on network design, implementation, or troubleshooting, weave those experiences in and highlight metrics to demonstrate your impact. This paints a vivid picture of how you'd fit into the role at Collabdemy.
Show Enthusiasm for the Industry:With telecommunications evolving rapidly, it’s important to express your passion for the field in your application. Mention any trends or innovations you've been following that excite you and how they'd influence your work. This can really set you apart and show that you're not just after a job, but a career!
Keep It Clean and Professional:While it’s important to be personable, ensure your application maintains a clean and structured format. Use clear headings and bullet points to make it easy for hiring managers to dig into your skills and experience. Remember, you’re applying for a full-time role, so a well-organised application will signal your seriousness about the position at Collabdemy.
How to prepare for a job interview at Collabdemy
✨Brush Up on Networking Protocols
Make sure you’re up to speed with the key networking protocols like TCP/IP, UDP, and perhaps even MPLS if it's relevant. We can expect technical questions about how these protocols function and the problems they solve, so a solid understanding will help you shine.
✨Showcase Your Projects
Got a portfolio? Bring it along! Highlight any relevant projects where you've designed or managed network systems. This is your chance to demonstrate practical experience; employers love to see how your skills can be applied in real-world scenarios.
✨Get Comfortable with Technical Scenarios
You might be faced with a case study or a technical troubleshooting scenario during the interview. Practise responding to common networking issues—like packet loss or latency problems. Thinking through these scenarios will help us sound confident and competent in our responses.
✨Emphasise Team Collaboration Skills
In the telecommunications field, teamwork is key! Make sure to share examples of how you’ve worked collaboratively, whether in past jobs or projects at uni. Employers want to see that you’re not just technically savvy, but also great at working within a team setting.
