Postdoctoral Research Associate in Topological Machine Learning and Generative AI

Posted 1 hour 57 minutes ago by Laplace Expert Ltd

Permanent
Full Time
Research Jobs
Dublin, Ireland
Job Description
Postdoctoral Research Associate in Topological Machine Learning and Generative AI

Northeastern University


County Dublin


9 Sep 2026


About This Opportunity

Northeastern University's Dublin Innovation Institute is recruiting a Postdoctoral Research Associate for TOPO-LLM, a project on topologically informed large language models for innovation intelligence.


This 10-month full-time postdoctoral role is based on site at the Dublin Innovation Institute. The researcher will design and validate an Innovation Topology Embedding using persistent homology, higher-order Laplacian features and multiscale network structure, then integrate these representations into transformer-based language models and evaluate them through benchmarks and ablation studies. The project combines topological data analysis, higher-order networks, knowledge graphs and generative AI.


Topological data analysis Geometric deep learning Large language models Knowledge graphs Network science


Level

Postdoc


Attendance

On-site


Time Commitment

Full-time


Field

Topological Machine Learning and Generative AI


Specialization

Artificial Intelligence & Data Science


Organization Type

University


Funding & Compensation

Amount EUR 64,000 / Per Year


Funding Type Salary


Funding Status Paid


Period Per Year


Requirements
Experience

Experience in topological or geometric methods and the implementation and evaluation of machine-learning systems at scale is expected.


Technical Skills

Topological data analysis Persistent homology Higher-order Laplacian features Multiscale network analysis Knowledge graphs Transformer-based language models Benchmarking Ablation studies Large-scale language-model training


General Skills

Interdisciplinary collaboration Research software development Publication writing Industry collaboration Rapid learning


Languages

Applicants may come from topological data analysis, geometric deep learning, network science, statistical physics, machine learning or a closely related field.