Assistant Professor Industrial Design
2 weken geleden
Job description
of the 3 positions for Assistant Professor1. Design of Games and Digital Twins
Research: The department of Industrial Design of the TU/e, seeks to hire an assistant professor with expertise in human-computer interaction/ interactive systems design, and with a specific emphasis in the areas of game design, virtual worlds, and digital twins. The candidate is expected to strengthen the department's competence in machine learning and AI. This position is intended to strengthen the department's research and education program regarding gameful design, simulations and digital twins, and tangible, mixed reality or digital games, where games and play are used to promote goals related to education, healthy living, or the energy transition. Familiarity with game engines and quantitative methods is expected.
Education: The candidate should enhance the competence of industrial design graduates in areas related to math data and computing and especially artificial intelligence, XR, and software prototyping. The candidate should demonstrate a keen interest on addressing societal challenges in a real-world context, to work closely with colleagues and stakeholders from diverse disciplinary and cultural backgrounds and be ready to embrace a design oriented perspective.
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2. Data Interaction and Visual Analytics
Research: You have a design focus on data interaction, visual analytics, and information visualization, a keen sense of data quality and meaningful interactions with data. In Industrial Design, we look for effective and aesthetic ways of presenting large-scale, complex data to diverse audiences and to support various types of users. For this position, we focus on professional users of high-tech systems in the semiconductor, printing, and healthcare industries. This could mean supporting professionals in complex tasks using high-dimensional data streams, providing new views on data using knowledge representation techniques and machine-learning, or connecting organizational data silos to empower stakeholders. In addition, we focus on how data evolves and changes, and how our understanding and sense-making such data will be dynamic, adaptive, and evolving over time. This means strengthening qualities of data interaction to promote design agency in the interpretation of data in and out of a context. You will develop novel concepts and applications, and related design methodology and technologies to support the application of visual analytics in different application domains. You will engage in and lead collaboration projects with industrial stakeholders. You are familiar with current data visualization and data interaction technologies, and you have a track record and strong ambition to contribute to the development of tools, methods and theory, guiding and inspiring designers in this field, and connecting to contemporary data design methodologies such as data-enabled design.
Education: You will contribute to our educational expertise in the areas of "Math, Data & Computing", "Technology & Realization" and "Creativity & Aesthetics" through courses at bachelor's and master's level in topics related to data and information visualization, generative design, designing with data, and visual analytics. Furthermore, education will involve the definition and coaching of student projects at bachelor's and master's level, and in our post-graduate Engineering Doctorate program.
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3. Design for Human-Vehicle Interaction (Smart Mobility and Automated Vehicles)
Research: For this position, we are looking for a motivated colleague who will work on designing and evaluating solutions to overcome human factors issues in the domain of automated driving, such as trust and acceptance, shared control, situation awareness, automation surprise, perceived safety, uncertainty and the interaction between autonomous vehicles and pedestrians, cyclists and manually driven vehicles. Within these themes, issues such as inclusivity, AI, data, methodologies, regulations and ethics play a potential role.
The candidate should have a PhD degree, building on a background in Industrial Design, Interaction Design, Human-Technology Interaction, Cognitive Psychology or Human Factors with a strong affinity with user experience research, design research methodologies and design as solutions for complex HMI challenges such as mode confusion, automation surprise, discomfort, overload, distraction, trust calibration and perceived uncertainty and perceived safety. Having a track record in automative (design) research is preferred, preferably with a good international reputation as evident from a range of high standing publications, participation in conferences and events and publications in the automotive design and research community.
Education: The candidate should be able and motivated to contribute to the bachelor and master programme (e.g. our course Automotive Human Factors), demonstrate ability to create links between education and research, take an active role in coaching students in our Future Mobility Squad and guide final bachelor and master students, also together with other departments at the University (e.g. IE&IS).
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Job requirements
Motivated researcher, with a PhD in Design, HCI, Computer Science or other related disciplines Ability to conduct high quality academic research, reflected in demonstratable outputs. Motivated to teach, contribute to teaching processes, and to develop excellent teaching skills. Strong cooperation skills and ability to work in an interdisciplinary team. Effective communication and leadership skills, including coaching and mentoring of students and staff, leading a project or chairing a group. Excellent (written and verbal) proficiency in English.Conditions of employment
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
A Tenure Track of five years with the prospect of becoming an Associate Professor. The opportunity to focus your career on education, research or impact. You can develop your personal ambitions and objections within the strategic objectives of the university. Salary in accordance with the Collective Labour Agreement for Dutch Universities, scale 11/12 (min. €4332 - max. €6737). A year-end bonus of 8.3% and annual vacation pay of 8%. A dedicated mentoring program to help you get to know the university and the Dutch (research) environment. High-quality training programs for academic leadership and teaching. An excellent technical infrastructure, on-campus children's day care and sports facilities. Partially paid parental leave and an allowance for commuting, working from home and internet costs. A Staff Immigration Team is available for international candidates, as are a tax compensation scheme (the 30% facility) and partner career support.-
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