IBM-Trinity College PhD in Artificial Intelligence
Introduction
We are delighted to offer an opening for a 4-year paid (salary + full fees) PhD position in the area of artificial intelligence (AI) as part of an ongoing initiative between IBM Research and Trinity College Dublin (Trinity). You will be employed by IBM Research Dublin and registered for a PhD at Trinity College Dublin (School of Engineering) with supervision from Trinity faculty and IBM staff.
The selected student is expected to work on the ECOTWIN Horizon Europe project on advancing generalisable digital-twin methods. Focus areas include knowledge- and causal-graph-grounded LLM agents tightly integrated with complex simulators and data-driven models. The aim is trustworthy, decision-grade planning across domains.
Your role and responsibilities
Example research directions:
• Design LLM agents whose planning and tool-use are guided/guardrailed by expert-defined or discovered knowledge graphs - either augmenting discovered relations with LLMs or constraining retrieval, reasoning and action selection via the KG.
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• Couple LLM agents to complex simulators and data-driven models: propose scenarios, generate code/parameters, call surrogates, and trigger high-fidelity runs when warranted.
• Develop an evaluation harness and metrics beyond standard NLP (e.g., causal consistency, goal-directed planning under KG constraints, sample efficiency, robustness to shift, cost/latency).
• Release a reproducible benchmark suite and, where feasible, a public challenge.
• Leverage simulation-derived synthetic data and retrieval-augmented generation; explore alignment (preference optimisation / lightweight RL) with causal/KG-aware reward signals.
The selected student will be employed by IBM and be a registered PhD student at Trinity, resulting in the following benefits:
• Access to resources and expertise both at IBM Research and Trinity
• Research experience in both private and public sectors
• A substantial PhD Salary
• Full Trinity PhD programme fees paid
Required education
Master's Degree
Preferred education
Master's Degree
Required technical and professional expertise
Example research directions:
• Design LLM agents whose planning and tool-use are guided/guardrailed by expert-defined or discovered knowledge graphs - either augmenting discovered relations with LLMs or constraining retrieval, reasoning and action selection via the KG.
• Couple LLM agents to complex simulators and data-driven models: propose scenarios, generate code/parameters, call surrogates, and trigger high-fidelity runs when warranted.
• Develop an evaluation harness and metrics beyond standard NLP (e.g., causal consistency, goal-directed planning under KG constraints, sample efficiency, robustness to shift, cost/latency).
• Release a reproducible benchmark suite and, where feasible, a public challenge.
• Leverage simulation-derived synthetic data and retrieval-augmented generation; explore alignment (preference optimisation / lightweight RL) with causal/KG-aware reward signals.
The selected student will be employed by IBM and be a registered PhD student at Trinity, resulting in the following benefits:
• Access to resources and expertise both at IBM Research and Trinity
• Research experience in both private and public sectors
• A substantial PhD Salary
• Full Trinity PhD programme fees paid
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