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Are you eager to develop the new research field of AI- based management system which in real time gives advice to travelers, transport providers and network managers to ultimately develop an efficient balance between transport demand and supply?Is your next dream move an Assistant Professor role within the research field of AI-based Real Time Transport Supply-Demand Management?Are you challenged by teaching Bachelor and Master level students? One where you're expected to write research proposals to acquire fund and publish in high quality journals and be member of committees within faculty and/ or university?Are you passionate about the topics of AI-based transport supply-demand management?Position contextHousten, we have a challenge. An extremely large amount of data is available regarding real time (private and public) vehicle positions, aggregate traffic conditions, real time states of infrastructure, route planning recommendation (to drivers who use such system), position of sharing services in the network, availability of parking areas, accidents and in the future information about the presence of Autonomous Vehicles in the network.To overcome the challenges cities are facing, such as emission and congestion, it is vital that the substantial amount and diversity of data to be collectively and simultaneously used to optimize the usage of services and infrastructure by giving the right people, right types of advice at right times and right places and update the system in real time given citizens' reaction (to the recommendation).This reduces pressure on infrastructure (roads and parking for example), and allows valuable land in city areas to be better used for green and/or community-based facilities. The challenge therefore necessitates a system which optimizes the traffic network by collecting real time information, and providing recommendations to the drivers (as close to their preference as possible, whilst respecting their temporal and spatial constraints) in terms of mode choice, route choice, destination choice, departure time and activity duration.The system also enables the traffic infrastructure to be adjusted in real-time to maximize the efficiency of traffic. In the future, when AV would be part of the urban fleet (mixed fleet), having such a system in place which encompasses the real time information of manual cars, AV and states of infrastructure, would guarantee higher level of safety by communicating information to relevant parties (drivers, AV, infrastructure and transport service providers).As an assistant professor, you will contribute to achieving the educational and research objectives of the chair of urban planning and transportation group, within the unit Urban Systems and Real Estate (USRE). Part of your task is supervising of BSc, MSc and co-supervising of PhD students. You will contribute in teaching of courses at Bachelor and Master level. You are expected to write research proposals to acquire fund and publish in high quality journals and be member of committees within faculty and/or university.Requirements: We offer a stimulating and ambitious educational and research environment and are looking for candidates with the following qualifications:You hold an MSc Degree in Engineering and a PhD Degree in the field of data science,  or computer science minoring in transportation or a degree in transportation engineering with rich knowledge in deep learning and programming.You have demonstrated your research skills by means of publications in reputed journals and conference proceedings.You have an affinity with deep learning algorithms,  geospatial information systems (GIS) and have high expertise in Python and R.You have gained international experience and collaborated with international thought leaders in academia on the vacancy topic.You can create a vibrant and effective learning environment and have the ability to motivate students both in research-based and challenge-based types of education (academic proficiency and design and engineering attitude).You have an excellent and broad international network in academia and industry to acquire research grants.You have an affinity with engineering and planning applications in the built environment and a creative mind in finding new solutions.You have a good command of English, both orally and in writing.You are a team player by nature, but able to work collaboratively as well as independently.Salary Benefits: 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 (min. €4.332,-max. € 5.929,-).A year-end bonus of 8.3% and annual vacation pay of 8%.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.Work Hours: 38 hours per weekAddress: De Rondom 70

We have an excellent opportunity for an applied and industrially oriented mathematician! You will be working at the forefront of Geometric Learning and Image Analysis in the unique and inspiring Eindhoven Brainport region.This vacancy is part of the Irène Curie Fellowship and is currently only open to female candidates.Job Description In the Geometric Learning and Differential Geometry Group (GLDG) within the Centre for Analysis, Scientific Computing and Applications (CASA) we invent, apply, and build new theory and methods in geometric AI for automated medical and industrial image analysis. The Geometric Deep learning methods developed in GLDG bridge the gap in image processing between machine learning and traditional PDE/geometry-based methods.The focus in the group GLDG supported by VICI project 'Geometric Learning for Image Analysis' (R. Duits) is on PDE-based equivariant neural networks aiming for impact on industry and society. This requires close interplay between mathematical theory and practical requirements. With implementation running parallel to theoretical development, we ensure that our geometric learning is both well-founded in profound new mathematics and relevant for practical applications.Key objectives of the position are:Develop high-performance implementations of geometric learning methods for modern hardware while connecting advanced scientific computing to applied and geometric analysis.Establish connections to industry via joint projects on geometric learning and image processing, while investing in in-house implementations to keep our research relevant for industry.Target and steer the direction of the theory by available hardware and performance. Advanced geometrical, topological theory and algorithms need to be developed.Be active in funding acquisition and set up a clear, personal, and visible research line that fits the overall activities and strategy in the GLDG group and CASA cluster.Open the black box of deep learning via geometric interpretability and explainable AI. Promising results are growing and allow for clear analysis by experts, but intuitive visualization and interpretation tools to industrial/health tech partners raise challenges to be tackled.  Design new equivariant PDE-based neural networks. Current methods in GLDG reveal drastic network reduction, and training data-reduction with better performances. Pursue a research direction in explainable and transferable geometric AI.  Analysis of topological transitions, semi-ring co-domain extensions, Lie group domain extensions require new models.Connect to the GLDG group, the CASA cluster, and the M&CS department at TU/e, and act in cross-divisional institutes such as EAISI, to guarantee a vibrant, well-embedded and well-funded research group with better network design and image analysis applications. Requirements: Motivated researcher, with a PhD in Applied Mathematics, Data Science, Electrical Engineering or Computational Physics, or a related field, with both an applied computational and a geometric interest. Strong knowledge of state-of-the-art computational methods in both geometric learning, differential geometry and geometric image processing. Excellent programming and software engineering skills both for developing CPU code (Python/Mathematica, C++), GPU (CUDA/Triton) code and other modern parallel hardware.Ability to conduct high quality academic research, reflected in demonstrable outputs.Ability to teach, demonstrated by experience or assistance in teaching. Informed vision on teaching and learning within your own discipline.  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. Salary Benefits: 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:An 18-month contract as Assistant Professor which can become permanent after 12 months on the same employment level upon successful evaluation.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.As an Irène Curie Fellow, you are entitled to a substantial start-up package to kick-off your career.  Salary in accordance with the Collective Labour Agreement for Dutch Universities, scale 11 (min. €4332, max. €5929).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.Work Hours: 38 hours per weekAddress: De Rondom 70

Would you like to contribute to the progress in the field of dynamics and control for engineering systems? Are you able to further valorise such research in industry and society and willing to contribute to the existing BSc program Mechanical Engineering and the MSc programs Mechanical Engineering (ME) and Systems and Control (S&C) within the department?The Department of Mechanical Engineering of the TU/e seeks to hire an outstanding faculty member at the level of Assistant Professor within the field of Dynamics and Control for Engineering Systems, who should play a role in addressing challenges and trends in our field.The Dynamics and Control SectionThe mission of the Dynamics and Control Section within the Mechanical Engineering department is to perform outstanding research and make key contributions to future societal challenges and industrial challenges in the fields of high-tech systems, mobility, sustainability and health. We train next-generation students on the topic of understanding and predicting the dynamics of complex engineering systems in order to develop advanced control, estimation, planning, and learning strategies which are at the core of the intelligent autonomous systems of the future: designing and realizing smart autonomous systems for industry and society. Our section has a broad funding base and a strong track record in attracting industrial funding and in engaging in international collaborations.The Dynamics and Control section currently consists of a diverse and committed team of 21 staff members, 6 post-doc and 35 PhD researchers.Our researchAutonomous vehicles, fully automated industrial value chains, high-tech and cyber-physical systems, collaborative robots in unstructured environments, intelligent medical devices, automated transportation networks, soft robotics, together with sustainable automotive technology are key examples of the broad application domain of the Dynamics and Control section. The design of these systems requires a thorough understanding of their underlying dynamics. Therefore, the first focal point of our research is on both data-based and first-principle-based modelling, model complexity management, and dynamic analysis of complex, multi-physics, multi-disciplinary and cyber-physical engineering systems.Building on this foundation, our second focal point is on 'making autonomous systems smarter'. To this end, we develop both model- and data-based sensing, planning, and monitoring and control technologies to provide autonomous systems with the intelligence needed to guarantee performance, robustness, and safety.Combining the investigation of both dynamics and control theory in one section allows to take on these challenges standing in a privileged position. In particular, it enables us to educate uniquely skilled engineers and researchers as well as to valorize our research together with the high-tech, automotive, health-care and energy sectors. While the disciplinary focus of the Dynamics & Control section is on 1) Dynamical Systems and 2) Control (where the combination is a unique selling point), the section focusses on the following main themes:Collaborative and Autonomous Robotics.Automotive Systems and Smart Mobility.Intelligent High-tech Systems Design.Manufacturing Systems and Smart Industry.The positionYou will have a mentor to guide you to build a leading research line in your discipline, while at the same time you will have the unique opportunity to enrichen your research with close collaborations with researchers within the section, as well as outside the section, within our unique ecosystem in the Brainport region. In the context of this vacancy, you are expected to:Perform outstanding research in the area of 'Dynamics and Control for Engineering Systems'.Contribute to the progress in the field of dynamical systems and control and valorize such research in industry and society.Teach relevant courses in the broader area of complex dynamical systems and control specifically in the scope of the Master programs on Mechanical Engineering, Systems and Control and Artificial Intelligence Engineering Systems.Initiate, acquire, and coordinate research projects.Strengthen industrial collaborations of the section within the Brainport area.Establish research collaborations both within TU/e and (inter)nationally.Supervise BSc, MSc, PhD and EngD students.Requirements: We are looking for a candidate who adds value to the Dynamics and Control section and matches the following profile:Motivated researcher, with a PhD in Mechanical Engineering, Electrical Engineering or another provably relevant degree. Candidates should have proven experience in two or more of the following core disciplines:ControlSystem theoryMachine learningOptimization and game theoryData-based controlPDE controlLarge-scale and multi-scale systemsKnowledge on relevant application domains such as, for example mechatronics, high-tech and cyber-physical systems, automotive systems, transportation systems, health applications, smart industry, energy, etc.Preferably, at least 2 years of postdoc or industrial experience after obtaining your PhD.Ability to conduct high quality academic research reflected in demonstrable 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. Salary Benefits: 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: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.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.Family-friendly initiatives are in place, such as the partner career support program to support accompanying partners, an international spouse program 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 is - depending on your personal situation - a tax compensation scheme (the 30% facility).Work Hours: 38 hours per weekAddress: De Rondom 70

The Department of Industrial Design (ID) is one of the nine departments of TU/e and has an internationally leading position because of its core commitment to research through design (RtD) and its strikingly original conceptual work. ID's ambition is to be recognized as one of the top departments in the world that conduct exciting research in the intersection of Design, Technology, Human-Computer Interaction, and Social Sciences and Humanities. In particular, the department aims to inspire and educate a new generation of design engineers who can contribute with their novel designs, their fluency in AI/ML algorithms and data, and their academic critical questioning, to the imminent and complex societal challenges our world is facing nowadays.The ID education program is competence-centered, self-directed and challenged-based. ID focuses on educating students to design through five different perspectives (called Expertise Areas), through core courses and electives:Math, data and computing.User and society.Technology and realization.Business and entrepreneurship.Creativity and aesthetics.Students also learn to make connections between the different perspectives within project groups called squads. In addition, the ID education curriculum encourages and empowers students to take the ownership of their personal and professional development. Supported by their academic coaches, through ID curriculum and their personal, industrial and research projects, students develop a unique competence of designing and related design approaches individually. Next to self-directed learning and competence development, the educational model of ID is challenge-based. ID students work together on challenging and authentic projects in which multiple perspectives or disciplines are incorporated to solve the challenge (for example by working within interdisciplinary groups) using an entrepreneurial mindset.At the Industrial Design department we have two research groups: Systemic Change and Future Everyday.Job descriptionResearch: 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.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. Salary Benefits: 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.Work Hours: 38 hours per weekAddress: De Rondom 70

The Department of Industrial Design (ID) is one of the nine departments of TU/e and has an internationally leading position because of its core commitment to research through design (RtD) and its strikingly original conceptual work. ID's ambition is to be recognized as one of the top departments in the world that conduct exciting research in the intersection of Design, Technology, Human-Computer Interaction, and Social Sciences and Humanities. In particular, the department aims to inspire and educate a new generation of design engineers who can contribute with their novel designs, their fluency in AI/ML algorithms and data, and their academic critical questioning, to the imminent and complex societal challenges our world is facing nowadays.The ID education program is competence-centered, self-directed and challenged-based. ID focuses on educating students to design through five different perspectives (called Expertise Areas), through core courses and electives:Math, data and computing.User and society.Technology and realization.Business and entrepreneurship.Creativity and aesthetics.Students also learn to make connections between the different perspectives within project groups called squads. In addition, the ID education curriculum encourages and empowers students to take the ownership of their personal and professional development. Supported by their academic coaches, through ID curriculum and their personal, industrial and research projects, students develop a unique competence of designing and related design approaches individually. Next to self-directed learning and competence development, the educational model of ID is challenge-based. ID students work together on challenging and authentic projects in which multiple perspectives or disciplines are incorporated to solve the challenge (for example by working within interdisciplinary groups) using an entrepreneurial mindset.At the Industrial Design department we have two research groups: Systemic Change and Future Everyday.Job descriptionResearch: 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.Requirements: Motivated researcher, with a PhD in 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. Salary Benefits: 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.Work Hours: 38 hours per weekAddress: De Rondom 70

The Department of Industrial Design (ID) is one of the nine departments of TU/e and has an internationally leading position because of its core commitment to research through design (RtD) and its strikingly original conceptual work. ID's ambition is to be recognized as one of the top departments in the world that conduct exciting research in the intersection of Design, Technology, Human-Computer Interaction, and Social Sciences and Humanities. In particular, the department aims to inspire and educate a new generation of design engineers who can contribute with their novel designs, their fluency in AI/ML algorithms and data, and their academic critical questioning, to the imminent and complex societal challenges our world is facing nowadays.The ID education program is competence-centered, self-directed and challenged-based. ID focuses on educating students to design through five different perspectives (called Expertise Areas), through core courses and electives:Math, data and computing.User and society.Technology and realization.Business and entrepreneurship.Creativity and aesthetics.Students also learn to make connections between the different perspectives within project groups called squads. In addition, the ID education curriculum encourages and empowers students to take the ownership of their personal and professional development. Supported by their academic coaches, through ID curriculum and their personal, industrial and research projects, students develop a unique competence of designing and related design approaches individually. Next to self-directed learning and competence development, the educational model of ID is challenge-based. ID students work together on challenging and authentic projects in which multiple perspectives or disciplines are incorporated to solve the challenge (for example by working within interdisciplinary groups) using an entrepreneurial mindset.At the Industrial Design department we have two research groups: Systemic Change and Future Everyday.Job description of the 3 positions for Assistant Professor1. Design of Games and Digital TwinsResearch: 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.Please apply here for this position (Please DO NOT USE THE "Apply now button" BELOW!)2. Data Interaction and Visual AnalyticsResearch: 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.Please apply here for this position (Please DO NOT USE THE "Apply now button" BELOW!)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).Please apply here for this position (Please DO NOT USE THE "Apply now button" BELOW!)Requirements: Motivated researcher, with a PhD in Design, HCI, Computer Science or other related disciplinesAbility 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. Salary Benefits: 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.Work Hours: 38 hours per weekAddress: De Rondom 70

The Department of Industrial Design (ID) is one of the nine departments of TU/e and has an internationally leading position because of its core commitment to research through design (RtD) and its strikingly original conceptual work. ID's ambition is to be recognized as one of the top departments in the world that conduct exciting research in the intersection of Design, Technology, Human-Computer Interaction, and Social Sciences and Humanities. In particular, the department aims to inspire and educate a new generation of design engineers who can contribute with their novel designs, their fluency in AI/ML algorithms and data, and their academic critical questioning, to the imminent and complex societal challenges our world is facing nowadays.The ID education program is competence-centered, self-directed and challenged-based. ID focuses on educating students to design through five different perspectives (called Expertise Areas), through core courses and electives:Math, data and computing.User and society.Technology and realization.Business and entrepreneurship.Creativity and aesthetics.Students also learn to make connections between the different perspectives within project groups called squads. In addition, the ID education curriculum encourages and empowers students to take the ownership of their personal and professional development. Supported by their academic coaches, through ID curriculum and their personal, industrial and research projects, students develop a unique competence of designing and related design approaches individually. Next to self-directed learning and competence development, the educational model of ID is challenge-based. ID students work together on challenging and authentic projects in which multiple perspectives or disciplines are incorporated to solve the challenge (for example by working within interdisciplinary groups) using an entrepreneurial mindset.At the Industrial Design department we have two research groups: Systemic Change and Future Everyday.Job description 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 program (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).Requirements: Motivated researcher, with a PhD in in Design, HCI, Computer Science or other related disciplinesAbility 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. Salary Benefits: 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.Work Hours: 38 hours per weekAddress: De Rondom 70

Are you inspired by the challenge of urban planning design models and methods to specific planning domains (public space, infrastructure, retail, jobs, housing, and public facilities)?Are you fascinated by going beyond the teaching methods and planning concepts, by focusing on the planning of sustainable built environments that cater to the diverse characteristics, preferences, needs, and activity patterns of individuals and communities?Do you see yourself as our next Assistant Professor in the Chair of the Urban Planning and Transportation Group?Are you eager to supervise BSc and MSc students and co-supervising PhD candidates, and teach lectures/courses and supervise student projects at the Bachelor and Master level?Are you passionate about contributing to state of the art theories and methods, applying advance modelling to real world problems?Job descriptionUrban planning refers to a scientific approach to support multi-objective decisions concerning the location, size, and quality of a set of interconnected land uses; and this considers environmental, societal, cultural and economic perspectives, and people's preferences, needs and behavior. The scientific orientation is reflected in theories, concepts, and modeling approaches that may be used to guide these location decisions. This in turn quantifies the demand for land use and assesses the impacts of plans, together with a set of supporting methods and models that support the plan development and implementation process. State of the art theories, methods and advanced modelling to real world problems!Urban planning is closely related to transportation planning. The change in the spatial distribution of demand and facilities has a direct impact on generated and attracted traffic, while in turn traffic volumes influence the feasibility of land use patterns and facilities.Recent years have witnessed an increased policy focus on safe and healthy living environments promoting the development of urban planning and designs to support such policies. The development of digital twinning and mixed-reality (in particular VR) facilities has enabled new ways to support the generation of various urban forms and planning. This allows citizens to evaluate and co-create the new design and planning solutions in a semi-real world context. Moreover, it has been widely recognized that due to the complexity of the urban system, any (urban) planning and policy can have secondary and higher order effects which are essential to be understood. Digital twining of built environment provides the opportunity for examining and communicating the effects of planning and policies to a large group of stakeholders.You are expected to develop and maintain an accurate overview of the state of the art (intersection of urban planning, VR experiments,  digital twining, big data and machine learning); as well as recent developments in this field of study in academics and urban planning practice, plus help students to apply this knowledge and skills set through a series of lectures and projects.Requirements: ** We are looking for the successful candidate to start on December 2024 as this position is to follow up for a colleague who is retiring. **We offer a stimulating and ambitious educational and research environment and are looking for candidates with the following qualifications:A PhD Degree in Urban Planning or a closely related discipline;Some experience as a postdoc researcher;Demonstrated research skills evidenced by publications in leading planning journals and conference proceedings.Expertise in/affinity with the application of digital twin technology to smart and healthy urban systemsThe ability to create a vibrant and effective learning environment and motivate students both in research-based and challenge-based types of education (academic proficiency and design and engineering attitude).Broad (inter)national network in academia and industry to acquire research grants.Good command of English, both orally and in writing.Team player by nature, willing to develop teaching and research in close collaboration with other members of the group and the department, respectively TU/e.Salary Benefits: 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 to 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 goals within the strategic objectives of the university.Salary in accordance with the Collective Labor Agreement for Dutch Universities, scale 11 (min. €4.322,-max. € 5.929,-).A year-end bonus of 8.3% and annual vacation pay of 8%.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, a tax compensation scheme (30%) and partner career support is available for international candidatesWork Hours: 38 hours per weekAddress: De Rondom 70

EnvironmentJADS Den Bosch closely collaborates with both Eindhoven University of technology and Tilburg University. This unique collaboration enables a true interdisciplinary approach building on deep technological and engineering knowledge combined with leading humanities and social sciences.In this joint appointment (e.g. 0.8 at JADS in Den Bosch and 0.2 at TU/e ITEM group in Eindhoven) you will connect to several groups at both Eindhoven University of technology and Tilburg University and strive to combine their strengths in setting up large scale research programs and educational programs. The department at Tilburg University you closely collaborate with is the Strategy and Entrepreneurship | Tilburg University group. Depending on your profile, a 0.8 at JADS in Den Bosch and 0.2 at this group can also be considered. Combined with the strong entrepreneurial ecosystem of the Netherlands, the province of Brabant, the Brainport area, Tilburg and Den Bosch Innovation Quarter (an new area under development focusing entirely on Data Driven Businesses) offer opportunities to initiate new interdisciplinary research collaborations. JADS also has its own incubator, the Playground (JADS Playground - JADS), which is connected to a network of similar accelerators adding to the vibrant startup climate.JADSWe do cool stuff that matters, with data. The Jheronimus Academy of Data Science (JADS) is the joint Data Science Academy of Tilburg University and Eindhoven University of technology. JADS Mariënburg is located in Den Bosch and currently has 40 FTE scientific faculty and support staff, 35 EngD and 40 PhD students and has been growing substantially in its research portfolio. As a young institution we are looking for excellent researchers with a can-do mentality who are team players and are willing to connect to other fields. Our researchers have a strong background in quantitative and statistical methods, data science and computer science.The Data Entrepreneurship unitThe research department of JADS consists of three units: Data Governance (DG), Data Analytics (DA) and Data Entrepreneurship (DE). We are looking for an Associate Professor in Data-Driven Entrepreneurship for the Data Entrepreneurship unit. The Data Entrepreneurship unit focuses on how data can be used to create and capture value for business and society. It combines Data Science and Entrepreneurship/Business.ResponsibilitiesLead the Data Entrepreneurship unit that is positioned within the JADS Research Department.Initiating, supervising and conducting research on data-driven entrepreneurship, business models, and ecosystems.Acquiring external funding for research projects (e.g. second and third money streams).Supervising PhD, EngD, MSc and BSc projects in this area.Designing, coordinating and teaching courses at BSc, MSc, PhD and EngD levels.Participating in committees at the intra- and inter-departmental levels.Contributing to the management of JADS.Key themesIn this role you will focus on how data can be used to create and capture value for business and society and contribute to three key themes in the field.Implications of big data and AI for business: the study of business performance implications of (big) data and AI and potential trade-offs among performance indicators and to understand how value is distributed among different actors.Data science and AI methods in entrepreneurship research: research into how to make data collections more scalable and less intrusive, which in turn provide deeper/broader empirical findings and inform interventions more extensivelyData-driven decision making tools: how to ensure that the DS/AI solutions are fully embedded in the organizational process and there is an ongoing link between the models and decision-makers. In short, ensure the DS solution solves the right problems.Requirements: PhD in a relevant field.Experience in entrepreneurship with profound knowledge of the data science field in general, and business models and innovation ecosystems in particular.Ability to conduct high-quality academic research reflected in demonstratable outputs in the field of entrepreneurship, Data-Science, AI and innovation and innovation management.Ability to teach, demonstrated by experience or assistance in teaching. Informed vision on teaching and learning within your own discipline.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. Salary Benefits: A meaningful job in a dynamic and ambitious University, in an interdisciplinary setting and within an international network. You will work on a beautiful, historic campus within walking distance of the central train station of the Bosch and the city center that offers all facilities.The current position is at the level of Associate Professor. If you have a more senior profile, a tailor-made career proposal will be considered.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.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.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.Work Hours: 38 hours per weekAddress: De Rondom 70

Are you interested in structural design for a sustainable future reducing the environmental impact of our buildings and infrastructure? Are you a researcher who is passionate about teaching on structural design with sustainable materials and elements, using new design methodologies for modern construction methods? Then you may be an excellent candidate for this Assistant Professor position.Job Description The Assistant Professor position is embedded in the chair of Sustainable Structural Design of the Unit Structural Engineering and Design of the Department of the Built Environment of Eindhoven University of Technology (https://www.tue.nl/en/research/research-groups/structural-engineering-and-design/). Sustainable structural design is a field that substantially contributes to the reduction of the environmental impact and CO2 footprint due to the construction of buildings and infrastructure. This can be achieved by various strategies:optimization of structures e.g. by using parametric design and AI;design of light-weight and/or adaptive structures;design for manufacturing structures by robotics;using new bio-based building materials specifically developed for structural applications;making structural designs truly circular: designing for circularity and reuse of building materials, elements and components in new and refurbished structures;renovation of existing building structures.Our new Assistant Professor is a structural designer with experience, or a specific interest, in contributing to a more sustainable future of the built environment.As Assistant Professor, you will be involved in research, teaching, valorization and organization.As a researcher, you will write research proposals and submit these to (inter)national funding agencies. Granted research proposals will lead to appointing PhD students of which you act as the daily supervisor. Your research output is published in highly ranked relevant international journals.As a teacher, you are able to connect your teaching to your research. You will be educating the structural engineers and designers of the future, both at the bachelor and at the master level. You will (co-)develop and teach courses and projects in English. Your expertise is in the field of structural design for buildings and infrastructure, with an emphasis on sustainability and circularity. Since our educational programs are integrally addressing all building disciplines, it is appreciated if you have affinity with e.g. architecture, building physics, urbanism and urban systems, and real estate.You are able to build a network and attract companies becoming interested in your research. You will set up valorization projects together with companies to bring your research to practice.You will contribute to the organization by participating in committees aimed at maintaining and improving the quality of our research and of our bachelor and master educational programs. These programs contribute to important societal themes like the energy transition, sustainability and circularity, the housing problem and ageing infrastructure. Our department participates in (inter)national activities like the New European Bauhaus initiative and the EWUU alliance on themes of sustainability, inclusiveness and circular society, which gives you ample opportunities to cooperate with colleagues from other organizations and universities.Requirements: Motivated researcher, with a PhD in civil or building engineering with a specialization in structural design, or a comparable domain.Some years of experience as a postdoc researcher.Ability to conduct high-quality academic research, reflected in demonstratable output.Ability to teach, demonstrated by experience or assistance in teaching. Clear vision on teaching and learning within the discipline.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 (writing and verbal) proficiency in English.Affinity with circularity and sustainable strategies in structural engineering and design.Adequate knowledge of parametric design and finite element programs for structural design purposes.Holding a 'University Teaching Qualification' or the willingness to obtain such a qualification in the first three years of the appointment.Salary Benefits: 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. If you have a more senior profile, a tailor-made career proposal will be considered.The opportunity to focus your career on education, research or impact. You can develop your personal ambitions within the strategic objectives of the university.Salary in accordance with the Collective Labour Agreement for Dutch Universities, scale 11 (min. € 3974,- max. € 5439,- per month).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.Work Hours: 38 hours per weekAddress: De Rondom 70

ECO GroupThe Electro-Optical Communication systems (ECO) group in the faculty of Electrical Engineering has been leading the scientific and applied research into the use of light for communication systems for the past 40 years, in the Netherlands, Europe and the world. With a strong partnership with industry and academia around the globe, the ECO group offers new members an opportunity to become the next leaders in optical communications research. The core competence of the ECO staff members is making the link between different technologies and different requirements being raised by the industry. We apply the knowledge gained by collaborators and other scientists in the TU/e and more recently in the Eindhoven Hendrik Casimir Institute to develop the required solution for many of the most burning problems in communication. For that sake, the group includes expertise spanning the fundamentals of photonic integrated circuits (PICs) design and manufacturing to the higher layers of communication networks.The ECO group is housed in the FLUX building on the TU/e Campus overlooking a state-of-the-art cleanroom and supported by more than 300m2 of labs for conducting experimental work. With 11 tenured scientists and as many as 70 PhD and Postdocs the ECO group is a vibrant and exciting research group perfectly suited to embed talented and ambitious scientists. In this video you can get a short glimpse at the kind of research activities carried out in our group through short interviews with past students.Innovative Optical NetworksThe ECO group has been a world leader in research for application of photonics in communication systems for more than 25 years. For the past 5-10 years there has been a huge increase in the intake of optical technologies in many segments of the data center, access and metro/core networks. Optical networks growth in large data centers is due to exponential growth in demand for bandwidth-hungry applications in the cloud and recently this growth has been further exponentially amplified by the emerging of highly computationally intensive AI applications. This trend will continue as consumers and machine-to-machine communication are using more and more data, exploiting the high capacity Fixed and Mobile telecom networks. Looking a few years ahead we foresee that some of current technologies are hitting the limits of their maximum capacity and thus innovative optical networks are crucial to be able to manage this traffic growth, reduce the energy consumption and the costs. The tremendous increase of traffic and connected devices, data centers, and network edge nodes is expected to push optical telecom and datacom networks capacity beyond its current limit. Future optical telecom and datacom networks will be highly complex as all layers of the networks, from the physical layer to the control and data processing and computing should be considered for optimal resource optimization, quality of services and energy consumption. Novel applications in emerging Internet of Things (IoT), 5G, and future 6G networks and applications such as autonomous driving, automated manufacturing, smart cities, industry 4.0 and more as well as the many emerging AI-enabled applications such as Virtual Reality (VR) and Augmented Reality (AR) have demanding requirements in terms of low and deterministic latency, high capacity and high computational power that oblige to move the computing from the cloud to the edge close to the users. Therefore, the massive 5G / 6G cell deployments and edge computing nodes as well as novel applications with different requirements in terms of connectivity, latency and reliability is forcing operators to deploy a large amount of networks elements and IT resources. Connectivity and coordination of such massive network elements and IT resources deployed in photonic networks becomes crucial to optimize and adapt those massive resources and match the heterogenous applications with different requirements as well as minimize their energy consumption. These complex networks will demand for novel low latency, scalable, and intelligent control systems from the local/access to the metro/core optical networks and data centers.Job DescriptionEmerging future optical and computing networks will be required to integrate the increasing demand for bandwidth with the need to provide low latency access to advanced computation modalities. The network can be based on any variant of connected devices and computing nodes from traditional optical and wireless nodes to 6G-mobile computing nodes, edge computing nodes, and quantum nodes.We foresee a need to build specific knowledge in optical network control and orchestration and more specifically to support the growing disparity between the different modes of communication and computing. The position can grow to support smart optical datacom and telecom networks including emerging free-space optics (FSO) and 6G optical wireless networks. A holistic approach is needed, covering local/access network to metro/core network and data centers, the transmission link optimization at the physical layer, and the computing decentralized systems by exploiting state of the art machine learning approaches to ultimately implement highly efficient and low energy consumption zero-touch autonomous networks. On the datacom and computing side we see trends towards networks of disaggregated and edge computing nodes required for new applications such as digital twin, mobile edge computing node for 6G, high performance computing, machine learning training networks, etc.The research is a key part of the photonic system-oriented research activities in the Eindhoven Hendrik Casimir Institute (ECHI), contributing to solve the computing and communication challenges to enable a sustainable information society.Requirements: PhD in Electrical/Photonic Engineering or Applied Physics, or a comparable domain.Ability to conduct high quality academic research, demonstrated for instance by a relevant PhD thesis and/or publication(s).Ability to teach, shown by experience or assistance in teaching and positive evaluations of these teaching efforts.Ability to initiate and sustain collaboration (often multidisciplinary) with national and international researchers.Interest and ability to valorise academic knowledge for/with industrial/commercial partners.Good communication and leadership skills.Excellent (written and verbal) proficiency in English.Salary Benefits: 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: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.Female candidates are eligible for the Irène Curie FellowshipSalary in accordance with the Collective Labour Agreement for Dutch Universities.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.Work Hours: 38 hours per weekAddress: De Rondom 70