Fully funded PhD studentship in context-aware machine learning/deep learning techniques for eHealth at MTU, Ireland
Mohammed Hasanuzzaman
The Science Foundation Ireland Centre for Research Training in Advanced Networks for Sustainable Societies (https://www.advance-crt.ie/), Munster Technological University (www.mtu.ie) invites applications for a fully funded 4-year PhD position in context-aware machine learning/deep learning techniques for eHealth.The SFI Centre for Research Training in Advanced Networks for Sustainable Societies focuses on enabling technologies for future hyper-networks, including concepts such as network virtualization, dependable communications, Internet of Things, data driven network management and applications in sustainable and independent living. This centre will train the next generation of researchers who will seek solutions to the technical and societal challenges of global hyper-connectivity.
Vision
"… train the next generation of doctoral graduates at the interface of technologies and social sciences, graduates who can stimulate socially-responsible and inclusive creativity and innovation in the fields of advanced communications. Our aim is to ensure that the next generations of communications technology are developed with human and societal benefit as a priority objective."
The successful candidate will contribute to the multi-million euro H2020 Project WARIFA - Watching the risk factors: Artificial Intelligence (AI) and the prevention of chronic conditions. The main focus areas of the project are the prevention of melanoma skin cancer by reducing unhealthy sun exposure, and the prevention of the complications of diabetes by improving lifestyle risk factors such as unhealthy diet and physical inactivity. In collaboration with the project partners from universities, hospitals and research centres, the successful candidate will contribute to the development of novel machine learning/deep learning techniques for context data reasoning.
Funding Notes & Eligibility Criteria
The ADVANCE CRT postgraduate programme offers excellent student a fully-funded PhD where they will receive a tax-free stipend of approx. €18,500 per year for up to four years including EU tuition fees, research and equipment costs and all costs associated with training related covered.
Eligibility criteria & application process
We invite applications from individuals who hold at least a 2.1 honours undergraduate/postgraduate degree in relevant disciplines such as Computer Science, Computer Engineering, Electrical and Electronic Engineering or related disciplines with strong programming skills. In addition, it is desirable that a candidate has skills in:
i) Hierarchical Bayesian Networks/Deep Learning algorithms
ii) Semantic and structured database
iii) Handling ubiquitous data
iv) Excellent written and verbal communication and interpersonal skills
Application Process
Interested candidates can send an application with the following documents directly to Dr. Mohammed Hasanuzzaman (mohammed.h...@mtu.ie)
Primary and highest degree(s) and awarding institutions; GPA/degree class.
A CV (maximum 3 pages)
Evidence of English language proficiency for non-native speakers based on IELTS (or similar) score of 6.5 (or similar local requirements)
A max. 2 page statement of motivation including description of:
Why you wish to undertake an ADVANCE Degree PhD (with reference to your future career plans)
Diversity
To help address gender under-representation in science, applications from female applicants are strongly encouraged, as are those from international students and other under-represented groups. This reflects each of the supervisory institutions commitment to providing a diverse and open environment for students and faculty.
| Dr. Mohammed Hasanuzzaman, Lecturer, Munster Technological University | |
| Funded Investigator, ADAPT Centre- A World-Leading SFI Research Centre Member, Lero, the SFI Research Centre for Software | |
| Dept. of CS | |
| Munster Technological University Bishopstown campus | |
| Cork | e: mohammed.h...@adaptcentre.ie/ |
| Ireland | https://mohammedhasanuzzaman.github.io/ |
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Sender notified by Mailtrack |
08/10/21, 00:56:20 |
