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:
We are looking for someone who understands the support of science and education. Other important assets are personal initiative, collaboration capacity, ability to switch between helicopter view and ground level and a well-developed common sense. We need someone who will proactively pick-up ideas and transform them into demos and working environments.
For the Lab Manager position, candidates are expected to have the following qualifications:
- Master, EngD or PhD in a relevant field;
- Experience in lab management, software engineering and in experimental validation;
- Organizational and supervising skills, e.g. in developing and implementing simple procedures, time management, guiding student assistants and ability to meet deadlines;
- Knowledge and experience in:
- Excellent communication and problem-solving skills;
- A desire and drive to work on demanding technical problems, and the ability to come up with creative solutions to these problems;
- Ability to share concepts, ideas and solutions with peers in a clear and concise manner without omitting the essentials;
- Good command of English and Dutch language .
Marijella van der Klugt, by email: m.g.v.d.klugt@tue.nl or via 06-48457550