Postdoctoral Researcher in Generative AI: Trinity College Dublin invites applications for the position of a Postdoctoral Researcher in Generative AI & Knowledge Graphs. This 12-month opportunity, based at Trinity College Dublin, offers a chance to work with the renowned ADAPT research center, contributing to cutting-edge projects in AI-driven technologies.
Postdoctoral Researcher in Generative AI & Knowledge Graphs
Designation: Postdoctoral Researcher
Research Area: Generative AI & Knowledge Graphs
Location: Trinity College Dublin
Eligibility/Qualification:
- PhD or equivalent in Computer Science or aligned field.
Job Description: The Postdoctoral Researcher will:
- Undertake research into the application of Generative AI techniques within established ADAPT projects using Knowledge Graph technologies.
- Collaborate with a multidisciplinary team to develop guidelines and training materials on the use of Generative AI in Knowledge Graph applications.
- Contribute to projects like the Virtual Records Treasury of Ireland and ERC VOICES.
- Have a high-impact role in implementing technical solutions, producing advisory documents, and presenting findings at relevant conferences.
How to Apply: Interested candidates can submit their application via the following link: Application Form
Applications must include:
- Cover Letter: A personal letter of motivation explaining why you want to conduct this research project and why you believe you can successfully complete it based on your career to date.
- CV: Detailed curriculum vitae, including relevant publications if applicable.
Last Date for Apply: February 9, 2024 (5 PM GMT)
For informal enquiries about the role, contact Prof. Declan O’Sullivan at declan.osullivan@adaptcentre.ie.
Salary: SFI Level 2B Point 1: €50,539
Benefits:
- Competitive salary
- Flexible working arrangements
- Choice of computer and peripherals
- Fast-paced environment with impactful work
- Pension
- Day Nursery
- Travel Pass Scheme
- Bike to Work Scheme
- Employee Assistance Programme
- Sports Facilities
- 22 days of Annual Leave
- Paid Sick Leave
- Training & Development
- Staff Discounts
