The Department of Industrial Engineering & Innovation Sciences of Eindhoven University of Technology has a PhD position in its Human Technology Interaction (HTI) group to work on the visual and non-visual properties and effects of light in Human-Centric Lighting systems and their digital twins, within the EU-funded AI-TWILIGHT consortium.
Project context: the AI-TWILIGHT consortium and the TU/e Intelligent Lighting InstituteThis PhD position is one of three TU/e positions at the core of the AI-TWILIGHT consortium, funded by a H2020-ECSEL grant from the EU. In the AI-TWILIGHT consortium 25 participants from academia and industry join forces to create self-learning digital twins of LED-based luminaires that can be used for health monitoring as well as for predicting maintenance, performance and product lifetime. The digital twin models apply modern mathematical and artificial intelligence methods to drastically reduce the amount of test data needed and will widen the predictive power of multi-domain (i.e., involving optical, mechanical, electrical, electronic, thermal and human perception aspects) LED models. The consortium is led by Genevieve Martin of Signify and combines world leading industry partners representing the product and the application sides of the value chain. The academic partners focus on the development of the digital twins and their self-learning capabilities and on the methodology how to derive the parameters and perception indices from data sets.
The core objectives of AI-TWILIGHT are:
- create self-learning digital twins of lighting systems (LED sources, driver electronics/modules and luminaire), and use these to predict performance and lifetime of LED products and optimize infrastructure design and management in an autonomous world
- create self-learning models using AI and analytics techniques
- facilitate the implementation of the digital twins in digitalized design flow (for SSL product design) and facilitate their applications upstream, up to lighting systems of large infrastructures/buildings.
- test AI-TWILIGHT methods, models and tools within selected application domains (e.g. automotive, horticulture, general and street lighting) and implement them within consortium partners to harvest their benefits
Three TU/e groups participate in the AI-TWILIGHT consortium: the Scientific Computing group, the Statistics group and the Human Technology Interaction group, with 2 postdocs and a PhD position respectively. The consortium will enable the TU/e and its Intelligent Lighting Institute (ILI) to develop new scenarios, services, data analytics and enabling technology for intelligent, integrative and human-centric lighting applications that balance energy savings, lifetime, human performance, (visual) comfort, health and wellbeing aspects.
PhD position: The visual and non-visual properties and effects of light within LED applications and modelsThe Human Technology Interaction department of the TU/e is seeking an enthusiastic, ambitious young researcher to work in our team on the execution of the AI-TWILIGHT tasks 'Spectral Power Distribution Modelling for Calculation of all Application Indices' and 'Application
Use-cases'.
Job descriptionWe aim to develop and implement performance indices for visual and non-visual effects/perception of light within (i) LED digital twins, (ii) lab studies, and (iii) a general lighting use-case/field test. The overall aim of this PhD project is to expand digital twin models of LED solutions to also include aspects like visual (dis)comfort, discrimination thresholds, temporal-light artefacts, biological (i.e, non-visual) potency, thus enabling for an improved prediction and control of application benefits across the lifetime of LED luminaires and Human Centric Lighting installations. In the lab studies established light-quality metrics will be compared and complemented with more detailed subjective and objective assessments that concern visual perception, (dis)comfort, alertness and psychophysics, also exploring interindividual variability and potential age-dependencies. In the use-case we will evaluate benefits and digital twin model predictions for a smart Human-Centric Lighting solution with a 24 hr dynamic light cycle that is designed to strengthen circadian rhythms and be more supportive of human health, sleep, mood, wellbeing and functioning, as compared to a conventional static lighting installation.
You will conduct your research under the supervision of prof. Ingrid Heynderickx, Yvonne de Kort, dr. Luc Schlangen and dr. Raymond Cuijpers. You will be a member of the light group in the HTI department at TU/e, the Intelligent Lighting Institute of the TU/e, and the larger
AI-TWILIGHT community.