PhD Scholarship in AI for Mining: This PhD project focuses on developing AI and statistical methods to mine, understand, and enhance public opinion and discourse. The successful candidate will utilize AI to extract insights from vast social media and news data to improve decision-making in democratic societies.
PhD Scholarship in AI for Mining, Understanding, and Augmenting Public Opinion and Public Discourse
Designation
PhD Scholarship in AI for Mining, Understanding and Augmenting Public Opinion and Public Discourse
Research Area
- Data Science
- Natural Language Processing
- Responsible and Explainable AI
- Computational Social Science
- Social Computing
Location
UCD School of Computer Science, University College Dublin (Hybrid working arrangements possible)
Eligibility/Qualification
| Mandatory Criteria | Selection Criteria |
|---|---|
| BSc degree in Computer Science or similar discipline | MSc degree in Computer Science or similar discipline |
| Excellent programming skills | Research and/or industry experience |
| Excellent English communication skills | Excellent quantitative research skills |
| Self-motivation and research interests | |
| Expertise in programming in Python | |
| Experience in Machine Learning and/or Statistics | |
| Experience in Computational Social Science and/or Social Computing | |
| Excellent written and oral communication skills |
Description
The PhD candidate will innovate AI-based systems to derive representative signals from millions of social media and news media points. These systems are expected to provide more accurate public opinion estimates than traditional polls. The research will also address misinformation, bias, and polarization, making strides toward fair and explainable AI systems. A scholarship value of approximately €114,000 is offered, which includes a tax-free stipend, registration fees, an international travel budget, and a new computer. In addition, doctoral candidates will participate in teaching as part of their professional development.
How to Apply
Candidates can apply by filling out a Google Form and attaching a PDF containing a CV, cover letter or personal statement outlining their interests and experiences, and academic transcripts.
Application link: Application Form
Last Date for Apply
April 10, 2024 (for full consideration). Shortlisted candidates will be interviewed in March or early April.
