PhD in Artificial Intelligence for predictive maintenance in water and electricity infrastructure

PhD in Artificial Intelligence to support Sustainable Development Goals 6 (clean water) and 7 (clean energy) as part of the Innovation Lab for Utilities on Sustainable Technology and Renewable Energy (ILUSTRE) project, funded in a public private partnership by NWO/NLAIC and private partners.

JADS is seeking an enthusiastic colleague for the position of PhD researcher in Artificial Intelligence for predictive maintenance in water and electricity infrastructure,
as part of the ILUSTRE project that focusses on use-cases in the Caribbean region.

Job Description
Predictive maintenance offers great potential value to the energy and water supply industry. Timely detection of required maintenance of machines, sensors, or other critical infrastructure can prevent service disruptions and costly loss of resources. For instance, visual sensors can be used to analyze and detect subtle patterns, and auditory sensors can pick up subtle sound changes.
Artificial intelligence allows for improved prediction performance on predictive maintenance tasks. However, one of the main challenges is dealing with real-time-based predictive maintenance. Instead of treating predictive maintenance as a simple alert monitoring, real-time-based predictive maintenance offers an estimate of time-to-failure. You will be addressing this challenge by working with large amounts of unlabeled visual and auditory datasets to create models for continuous and reliable monitoring of system states that can accurately predict time-to-failure. You will work on deep learning solutions to achieve real-time-based predictive maintenance algorithms. These models will be based on unsupervised and self-supervised learning, and you will work with both discriminative and generative models. Moreover, you will study the accuracy, reliability, and possible integration of these models with water and energy providers and other industrial partners.

Your work will contribute to achieving a more reliable distribution of energy and water and to the more general goal of building robust machine learning for a sustainable society. You will be part of the Jheronimus Academy of Data Science in ‘s-Hertogenbosch and closely collaborate with Tilburg University and the Eindhoven University of Technology.

ILUSTRE project
This position is linked to ILUSTRE, a new Innovation Center for Artificial Intelligence (ICAI) to be established in Curaçao. ILUSTRE will be a living lab in the Caribbean with the objective to develop, implement and test AI innovations that will accelerate the use of clean energy and advanced solutions in water treatment and wastewater recycling/purification. The innovation lab is one of the new ICAI labs that are part of the ROBUST program on Trustworthy AI-based Systems for Sustainable Growth which is financed under the NWO LTP funding scheme. ILUSTRE offers opportunities for PhD candidates who wish to support to the acceleration of the energy transition and who have an affinity with the Dutch Caribbean islands.

have an affinity with the Dutch Caribbean islands.

Job description

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Information and application

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