SFI Machine Learning 2022 Scholarships for International Students

This year we have two application tracks:

• Technical Machine Learning Track: Researching and developing fundamental approaches and novel applications of machine learning.
• Machine Learning in Society Track: Investigating the impacts machine learning is having on society and developing policy to manage these impacts.

Please review the Application Template before you complete the actual online application, which is available at the bottom of this page

• Table of Content
• About Centre for Research Training in Machine Learning
• SFI Machine Learning Scholarships
• Aim and Benefits of SFI Machine Learning Scholarships
• Requirements for SFI Machine Learning Scholarships Qualification
• Interview date, Process and Venue for SFI Machine Learning Scholarships
• Application Deadline
• How to Apply

About Centre for Research Training in Machine Learning

The Centre for Research Training in Machine Learning is a collaboration between University College Dublin, Dublin City University, and Technological University Dublin. It is led by Dr. Brian Mac Namee, Dr. Georgiana Ifrim, Prof. Noel O’Connor, and Prof. Sarah Jane Delany.

SFI Machine Learning Scholarships

Aim and Benefits of SFI Machine Learning Scholarships

• Each student in the centre will receive a generous scholarship valued at over €120,000. This includes a tax-free stipend of €18,500 per year for four years, full coverage of tuition fees, funds for conference travel, and an ample equipment allowance. Students will also have the opportunity to earn extra income within their host institution through teaching activities.
• 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.
• 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.
• Most 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.

Requirements for SFI Machine Learning Scholarships Qualification

The minimum requirements for entry into the programme under the Technical Machine Learning track are:

• 2.1 grade (or equivalent) in an undergraduate or postgraduate degree in computer science, maths, engineering, science, or similar technical discipline.
• Strong programming ability.
• Non-native English speakers require at least IELTS 6.5 (with at least 6 in all components) or equivalent (further details on equivalence of tests are available HERE). At application stage it is not mandatory to upload the English test. Applicants that have not provided proof of IELTS test in the application will be asked to send the document if they are invited to an interview.
• Machine learning experience is desirable but not mandatory.

The minimum requirements for entry into the programme under the Machine Learning in Society track are:

• 2.1 grade (or equivalent) in an undergraduate or postgraduate degree in social science, digital humanities, engineering, science, or similar discipline.
• Non-native English speakers require at least IELTS 6.5 (with at least 6 in all components) or equivalent (further details on equivalence of tests are available HERE). At application stage it is not mandatory to upload the English test. Applicants that have not provided proof of IELTS test in the application will be asked to send the document if they are invited to an interview.
• Experience working on the societal impact of technology is desirable, but not mandatory.

In summary, as well as being intellectually strong, successful Ph.D. students need to be adaptable, determined and to have the passion to go the extra mile, especially when the research isn’t going well. Before completing the application form, please consult the application template with guidelines and FAQ.

Interview date, Process and Venue for SFI Machine Learning Scholarships

The applications will be evaluated through a three stage selection process:

1. Application form
2. Assessment task
3. Interview

Application Deadline

How to Apply

All applicants will be contacted by [email protected] and are advised to check the spam email folder regularly.

Please review the Application Template before you complete the actual online application.

For more details, the website.