PhD Projects: Technical Machine Learning - Machine Learning in Society SFI Centre for Research Training in Machine Learning (ML-Labs)

Job Description

Applications are now open for PhD scholarships in the SFI Centre for Research Training in Machine Learning. We deliver an ambitious programme of study that allows students to develop the deep research and technical expertise required for an internationally excellent PhD, alongside the transferable skills and industry experience to make them attractive industry-ready hires. The key training components are-A programme defined through close engagement with industry-A cohort-based interdisciplinary training programme-A focus on fundamental and applied machine learning research-An industry placement for all students-A supervision team of world-class machine learning researchers-A generous fully-funded PhD scholarships-A unique PhD experience mixing focused research with group activities and training. 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 .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. 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. 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.

Student requirements
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.
Supervisor Details: Prof. Sarah Jane Delany
[email protected]
TU Dublin School of Computer Science

Research Centre webpage: www.ml-labs.ie

Funding Details
Duration of Funding: 4 years
Fees covered by the funding
Materials & Travel Budget per annum: Generous travel and equipment budget
Student Stipend per annum €: €18,500
Funding Agency: Science Foundation Ireland (SFI)

If you are interested in submitting an application for this project, please complete an Expression of Interest available here: forms.office.com/Pages/ResponsePage.aspx?id=yxdjdkjpX06M7Nq8ji_V2hiTno1vZnVJip0jxPLsgu9UN0JWSjA5REk3M1FFTTFGSEwzVzNQNklJMS4u

Application deadline 12/02/2023