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.
- Benefits: Competitive salary, collaborative environment, and impactful research opportunities.
- Other info: Fixed-term contract until November 2028 with potential for visa sponsorship.
- Why this job: Make a real difference in healthcare using cutting-edge AI technology.
- Qualifications: Expertise in AI, machine learning, or telecommunications required.
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.
To explore the post further or for any queries you may have, please contact: Dr. Maryam Hafeez, Associate Professor in Communication Systems and Networks.
£41,064 to £48,822 per annum
Research Fellow in AI-Native Telecommunications Systems in Leeds employer: Economicsnetwork
Join the Faculty of Science and Engineering at the University of Manchester, where you will be part of a vibrant team dedicated to pioneering research in quantum materials. With a strong commitment to employee development, we offer generous benefits including a substantial pension contribution, 29 days of annual leave, and access to world-class research facilities, all within a collaborative and inclusive work culture that values diverse perspectives.
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We think this is how you could land Research Fellow in AI-Native Telecommunications Systems in Leeds
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We think you need these skills to ace Research Fellow in AI-Native Telecommunications Systems in Leeds
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