AI – PhD Scholarship: University College Dublin’s School of Information and Communication Studies (ICS) is offering a fully funded PhD scholarship under the supervision of Dr. Stefanie Havelka. This scholarship aims to explore Artificial Intelligence (AI) in library and information studies, focusing on usage, roles, impact, privacy, and security. The successful candidate will delve into topics such as AI literacy, AI in the organization of information, and more. The scholarship provides a stipend of €22,000 per annum, with tuition fees waived. Both EU and non-EU students are eligible to apply.
AI in Libraries & Knowledge Organisations – PhD Scholarship
Summary Table:
- Study Area: AI in Libraries & Knowledge Organisations
- Location: University College Dublin, Ireland
- Eligibility/Qualification: Strong Master’s degree (2:1 or above) in Library and Information Studies/Science or related field, proficiency in English (C2 or C1 level), exceptional organizational skills
- Starting Date: September 2024
- Deadline for Application: 31st May 2024
- Supervisor: Dr. Stefanie Havelka
- Remuneration: €22,000 per annum stipend, tuition fees waived, travel funding prioritization
- Responsibilities: Research, thesis writing, conference participation, collaboration with supervisor, teaching support
- How to Apply: Submit application via UCD’s application portal, including CV, cover letter, research proposal, academic transcripts, and English language proficiency proof.
Study Area: AI in Libraries & Knowledge Organisations
Location: University College Dublin, Ireland
Eligibility/Qualification: Strong Master’s degree (2:1 or above) in Library and Information Studies/Science or related field, proficiency in English (C2 or C1 level), exceptional organizational skills
Description: The successful candidate will undertake research on AI’s impact on library and information studies, focusing on AI literacy, privacy, security, and more. They will collaborate with Dr. Stefanie Havelka, contributing to ongoing research in AI and LIS theories.
How to Apply: Submit application via UCD’s application portal, including CV, cover letter, research proposal, academic transcripts, and English language proficiency proof.
Last Date: 31st May 2024
- Position Available: Fully funded PhD scholarship in Artificial Intelligence in library and information studies at University College Dublin.
- Supervisor: Dr. Stefanie Havelka.
- Starting Date: September 2024.
- Deadline for Application: May 31st, 2024.
- Interviews: Scheduled for June 10-14, 2024.
- Duration: Full-time, tuition fees waived, renewable for up to four years.
- Remuneration: €22,000k per annum stipend, tax-free, priority for travel funding from ICS, provided equipment.
- Eligibility: Open to EU and non-EU students meeting university entry standards.
- Description: PhD focused on AI in library and information studies theory or professions.
- Suggested Topics: AI literacy and its implications, AI in organization of information, cataloguing & metadata.
- Supervisor’s Research Area: Dr. Havelka specializes in human-computer interaction, digital literacies, equity, diversity, and inclusion in LIS theory and practice.
- Responsibilities: Conduct original research, write and defend a PhD thesis, produce research outputs, attend conferences, collaborate with supervisor, contribute to intellectual life in ICS and UCD.
- Role Profile: Candidates must be proficient in qualitative methodologies and willing to learn necessary technical skills.
- Requirements: Strong command of English, Master’s degree in Library and Information Studies or related field, organizational skills, familiarity with qualitative and/or quantitative methods.
- Preference: Given to candidates matching proposed PhD topic, demonstrating understanding of relevant literature.
- Enquiries: Prospective applicants should contact Dr. Havelka with cover letter, CV, research topic outline, academic transcripts, and English language proficiency proof.
- Application Process: Submit via UCD’s application portal, including necessary documents and writing sample.
- Review Process: Applications undergo open, transparent, and merit-based recruitment.
- Interviews: Short-listed candidates will be notified at least five days in advance for online interviews.
