The SFI Centre for Research Training in Machine Learning addresses the urgent industry demand for Machine Learning talent. The centre brings together leaders in their field to supervise and train students. Students benefit from world-class, inter-institutional programmes, led by active researchers as part of a mature interdisciplinary environment that emphasises cutting-edge research with an industry-relevant and entrepreneurial focus.
“Machine learning is changing the way we shop, exercise, entertain ourselves, travel, and even date. The SFI Centre for Research Training in Machine Learning will put Ireland in a position to lead this change.” Dr Brian Mac Namee, Director of SFI Centre for Research Training in Machine Learning.
All students will be members of a cohort in the centre and complete training activities as a group across the three host institutions. Each student, however, will be offered a place in one host institution from which they will receive their PhD.
Students will join the ML-Labs programme without having made a commitment to work on a specific research project with a particular project supervisor. During the initial Bootcamp a series of matchmaking events will be organised to allow students and supervisors to meet to discuss research interests and to find the best matches between students, supervisors, and research topics. This process has been designed this way to allow all involved to have plenty of opportunities to get to know each other and as it has been shown to work very well on international PhD training programmes.
Will train 120 academically outstanding, industry-ready PhD graduates.
Our PhD is a fully-funded programme where accepted candidates receive four years of tuition fees, a tax-free stipend of €18,500 and a travel allowance for research and training related activities. Students will also have the opportunity to earn extra income within their host institution through teaching activities.
The centre seeks applications to join the programme in September 2020 from talented graduates with an interest in machine learning research. The minimum requirements for entry into the programme are:
Application is now closed.
The centre is committed to diversity in its named supervisor group and its student body and so applications from international students and from under-represented groups are strongly encouraged.
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