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will undertake doctoral research focused on activity-based travel behaviour, household energy use, and sustainability policy, contributing to the development of causal inference and agent-based modelling
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model to study stress and developmental responses. The project will use well established plant models including Arabidopsis thaliana and Hordeum vulgare (barley). The candidate will use a combination of
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) approaches. Design predictive maintenance algorithms using machine learning, statistical learning, and digital twin-based models to anticipate failures and optimise maintenance interventions. Integrate AI
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provides training in applying advanced statistical methods (such as Structural Equation Modelling, Latent Class Analysis and/or Multi-level Modelling). You should be able to demonstrate competencies in
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PhD Scholarship in High-level quantum chemistry calculations on key reactions in ammonia combustion.
For information on moving to Ireland please see www.euraxess.ie Detailed Project Description : Carry out high-level ab initio calculations for some key reactions in combustion chemistry model. Write and publish
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. Key research directions may include: Nonlinear control for complex robotic systems Distributed optimization and coordination in multi-agent systems Game-theoretic modelling of cooperative and
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SPEAR Centre: PhD in ‘Long-Range, High Bandwidth Distributed Acoustic Sensing for Fibre Optic Links’
optical amplification models for DAS systems, including SOA, EDFA, Raman, and hybrid amplifier configurations. Investigate high-bandwidth interrogation techniques, such as high-rate linear frequency
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) Position C Powering data-driven sustainability assessment tasks in agri-food systems with IoT-data Datlakes and Large Language Models. Aarhus University (DK) & Université Libre Bruxelles (BE) Position D