Eindhoven University of Technology
(TU/e) is one of Europe's top technological universities, situated at the heart of a most innovative high-tech region. Thanks to a wealth of collaborations with industry and academic institutes, TU/e's research has real-world impact. TU/e has around 3,000 employees and 2,300 PhD students (half of which international, representing about 70 nationalities).
Our university is at the heart of society: TU/e focuses in education and research on complex, societal challenges such as Energy, Health and Smart Mobility.The Eindhoven Artificial Intelligent Systems Institute
(EAISI) was established in the summer of 2019 as a cross-departmental institute. It has a staff consisting of a program acquisition team, a team focusing on (inter-)national positioning, and a scientific team. It builds on the strengths of AI research in the Data Science Center Eindhoven, the High-tech Systems Center, the strategic area Smart Mobility and ongoing collaborations among TU/e researchers.
EAISI's goal is to increase the use of AI in real-time, autonomous decision-making for the benefit of society, the economy and science. Working for EAISI means having a direct impact, focusing especially on the areas of health, mobility and high-tech industry. Our traditional TU/e strengths include systems engineering and our close ties with industry, and we are building on these with AI to lead towards the next generation of machine intelligence. Our approach is based on bringing together the three fields of 1) data and algorithms, (2) humans and ethics, and (2) engineering systems. EAISI's overall purpose is to significantly speed up the development of meaningful technical solutions that address important societal challenges, via high-tech systems, data and robotics.The EAISI Digital Twin Lab
Rapid progress in digitalization and artificial intelligence is providing numerous opportunities for virtual and human-interaction research at TU/e. Connecting the real world to the digital world using Digital Twins is facilitated by an increasing availability of sensor information, which allows new applications in many different areas to be explored. EAISI, as the linking pin between TU/e departments and industry in AI, has started a Digital Twin Lab to support experiments in this area, in its three application areas of high-tech systems, health and mobility. The lab brings researchers together from the EAISI Digital Twin Research Community, to share experiences, reduce the cost of setting up experimental environments and to address the important societal issues. This community is large and represents a wide range of advanced research from across the TU. This typically involves modelling real-world situations and creating data interfaces between the real context and model. The Digital Twin lab provides tools such as Virtual Reality (VR) and Augmented Reality (AR) to allow deeper interaction with the virtual models, using advanced databases to support AI activities.
For more information on the lab:EAISI Digital Twin Lab (tue.nl). The ambition of the Digital Twin Lab is develop an (software) infrastructure, consisting of references architectures and frameworks, to build of digital twins for our research community but also showcase the our technologies to external contacts (industry and government).
In order to further develop the Digital Twin Lab
and realize its full potential we are searching for a proactive and entrepreneurial Lab Manager.
This new position includes the following laboratory management responsibilities:
- Operational management of the laboratory including supervising the student assistants who are occupied with the software engineering assignments;
- Advising in innovation and modification of available equipment/software;
- Collaborating in the digital twin research community to build inspiring examples of twin environments;
- Management, expansion and maintenance of the equipment-(setups), including hard- and software;
- Managing software licenses and administrating design software;
- Supporting the research by contributing with designing and testing research setups, advising on choice of parts, equipment and materials;
- Health and safety procedures;
- Perform measurements and writing measurement reports.