PhD Scholarships in Artificial Intelligence (NLP/e-Health)

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Mohammed Hasanuzzaman

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Jan 15, 2025, 3:57:30 PM1/15/25
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Dear Colleagues,

I am looking for PhD students in e-Health and Sign Language Translation at the School of Electronics, Electrical Engineering and Computer Science, Queen's University in Belfast, UK. The details of the projects are below:

  1. Breaking Barriers: AI-Powered Sign Language Translation for Enhanced Healthcare Access for the Deaf . The Project is co-supervised by Prof. Asif Ekbal, Professor, IIT Jodhpur, India, and Dr. Anna Jurek-Loughrey, Senior Lecturer, EEECS, Queen’s University.

  2. Empowering Mothers: AI-Enhanced Personalized Management of Gestational Diabetes . The project is co-supervised by Prof. Pietro Liò, Professor, Department of Computer Science and Technology, University of Cambridge, UK.

Both projects offer an exciting opportunity for students to spend time at the prestigious University of Cambridge in the UK and IIT Jodhpur in India.

Requirements: The successful candidate is expected to have a solid background in NLP, Machine Learning, Statistics, computer science, or related disciplines. The minimum academic requirement for admission to a research degree programme is normally an Upper Second Class Honours degree from a UK or ROI HE provider or an equivalent qualification acceptable to the University. Refer to the official application process for details: Application process.

Application Process: For enquiries, please send an email to Dr. Mohammed Hasanuzzaman at m.hasan...@qub.ac.uk with your CV and transcript, as well as a brief description of your research interests. Unfortunately, due to a high volume of inquiries, I may not be able to respond to all emails.

Submit your formal application through the following link: Application portal.

Your application should be clearly marked as EEECS/2025/MH1 and/or EEECS/2025/MH2 to ensure consideration for funding.

About Queen's: The Queen's University Belfast, founded almost two centuries ago, is one of the oldest universities in the United Kingdom. As a member of the prestigious Russell Group, Queen’s is one of the UK’s 24 leading research-intensive universities (ranked 13th in the UK for research intensity). For more details: Queen’s University rankings.

International students are welcome to apply, but additional funding (Scholarships) or personal finances will be required to cover the difference between home (UK) and overseas fees.

Best regards,

Mohammed

------------------------------------------------------------------------------------------------------
Dr. Mohammed Hasanuzzaman
Lecturer/Assistant Professor
Queen's University Belfast, UK &
Munster Technological University, Ireland
Funded Investigator, ADAPT Centre- A World-Leading SFI Research Centre
Chercheur AssociéGREYC UMR CNRS 6072 Research Centre, France 
Associate Editor: IEEE Transactions on Affective Computing, Nature Scientific Reports, IEEE Transactions on Computational Social Systems, ACM TALLIP, PLOS One, Computer Speech and Language
Website: https://mohammedhasanuzzaman.github.io/

            




 

                             


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