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 consortium 25 participants from academia and industry join forces to create self-learning digital twins of LED-based luminaires that can be used to assess and predict maintenance, performance and lifetime of lighting systems and products as well as their visual and non-visual responses. 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 LED models (i.e., involving optical, mechanical, electrical, electronic, thermal and human perception aspects). 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: Measuring and modeling the visual and non-visual properties and effects of light within LED applications The 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'.