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<div>Phd Postion: Emergent Behavior and Responsibility in Mixed-traffic Interactions</div>
<div> Delft University of Technology</div>
<div> Deadline: April 4, 2021</div>
<div> <a href="https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?jobId=2155&jobTitle=PhD%20Position%20Emergent%20Behavior%20and%20Responsibility%20in%20Mixed-traffic%20Interactions"><font color="#0563C1"><u>https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?jobId=2155&jobTitle=PhD%20Position%20Emergent%20Behavior%20and%20Responsibility%20in%20Mixed-traffic%20Interactions</u></font></a>
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<div> Challenge: Mitigate responsibility gaps associated with automated vehicles (AVs)</div>
<div style="padding-left:36pt;">Change: Understand emergent phenomena in multi-agent human-AV interactions</div>
<div style="padding-left:36pt;">Impact: Provide concrete measures and models of emergent behaviors in complex human-AV interactions </div>
<div style="padding-left:36pt;"> </div>
<div>Job description</div>
<div> </div>
<div style="padding-left:36pt;">Modelling and analysis of human interactions in traffic is notoriously complex. The introduction of automated vehicles (AVs) in mixed-traffic interactions further increases this complexity and can contribute to emergent behaviors
leading to responsibility gaps, situations in which there is no human who is responsible for avoiding undesirable consequences. Current research on human-AV interactions focuses mainly on the interactions between one human and one automated vehicle, however,
the same computational approaches are unlikely to scale up to multiple interacting heterogeneous agents.</div>
<div style="padding-left:36pt;"> </div>
<div style="padding-left:36pt;">You will study and model traffic interactions of multiple human-driven and autonomous vehicles by combining experiments in a driving simulator, cognitive modeling, and multi-agent simulations. You will develop novel experimental
approaches to study traffic interactions, and investigate how to measure, model, and predict novel human and AV behaviors emerging in these interactions. The cornerstone of this project is the notion of human responsibility; you will develop ways of quantifying
responsibility in the context of mixed-traffic interactions and provide insights into how it can be facilitated through interaction design. Your work will, first, contribute to a better understanding of emergent effects and diffusion of responsibility due to
autonomous vehicle penetration, and second, provide guidelines for the development of automated vehicles capable of handling complex, multi-agent traffic interactions.</div>
<div style="padding-left:36pt;"> </div>
<div style="padding-left:36pt;">HERALD Lab is a Delft Artificial Intelligence Lab. Artificial Intelligence, Data and Digitalisation are becoming increasingly important when looking for answers to major scientific and societal challenges. In a DAI-lab, experts
in ‘the fundamentals of AI technology’ along with experts in ‘AI challenges’ run a shared lab. As a PhD, you will work with at least two academic members of staff and three other PhD candidates. In total TU Delft will establish 24 DAI-Labs, where 48 Tenure
Trackers and 96 PhD candidates will have the opportunity to push the boundaries of science using AI. You will be a member of the thriving DAI-Lab community that forsters cross-fertilization between talents with different expertise and disciplines.</div>
<div style="padding-left:36pt;"> </div>
<div style="padding-left:36pt;">Each team is driven by research questions which arise from scientific and societal challenges, and contribute to the development and execution of domain specific education. You will receive a 5-year contract and will be deployed
for AI-related education for the usual teaching effort for PhD students in the faculty plus an additional 20%. The extra year compared to the usual 4-year contract accommodates the 20% additional AI, Data and Digitalisation education related activities. All
team members have many opportunities for self-development.</div>
<div style="padding-left:36pt;"> </div>
<div style="padding-left:36pt;">HERALD Lab is led by Luca Laurenti and Arkady Zgonnikov. You will work at the Department of Cognitive Robotics (Faculty of Mechanical, Maritime and Materials Engineering) and will closely collaborate with the Interactive Intelligence
group (Faculty of Electrical Engineering, Mathematics and Computer Science). You will be supervised by Arkady Zgonnikov and Luciano Cavalcante Siebert.</div>
<div> </div>
<div>Requirements</div>
<div style="padding-left:36pt;">Need to have:</div>
<div style="padding-left:36pt;">An MSc degree in artificial intelligence, complex systems, transportation, human factors, cognitive sciences, or related areas.</div>
<div style="padding-left:36pt;">Open-mindedness and motivated interest in interdisciplinary research.</div>
<div style="padding-left:36pt;">Affinity with teaching and supervising students.</div>
<div style="padding-left:36pt;">Solid programming skills.</div>
<div style="padding-left:36pt;">Ability to take initiative.</div>
<div style="padding-left:36pt;">Proficient in verbal and written English.</div>
<div style="padding-left:36pt;"> </div>
<div style="padding-left:36pt;">In addition, experience with one or more of the following topics is considered a plus: agent-based modeling, game-theoretic modeling, cognitive modeling, experiments with human subjects, microscopic traffic simulation, ethics
of AI. </div>
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<div>Conditions of employment</div>
<div style="padding-left:36pt;">TU Delft offers DAI-Lab PhD-candidates a 5-year contract, with an official go/no go progress assessment after one year. The duration of your employment contract corresponds to the envisaged time of 5 years to complete your Doctoral
programme as agreed with you. As a DAI lab PhD candidate you will be specifically deployed for AI-related education within the DAI labs programme. Therefore the duration of your employment contract is 5 years instead of a standard 4 year PhD contract. The extra
year accommodates for the additional teaching load with regard to AI, Data and Digitalization education related activities.</div>
<div style="padding-left:36pt;"> </div>
<div style="padding-left:36pt;">Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2395 per month in the first year to € 3217 in the fifth year. As a PhD candidate you will be enrolled in the
TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related
and research skills.</div>
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<div style="padding-left:36pt;">The TU Delft offers a customisable compensation package, discounts on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. For international applicants we offer
the Coming to Delft Service and Partner Career Advice to assist you with your relocation.</div>
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<div>TU Delft (Delft University of Technology)</div>
<div style="padding-left:36pt;">Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It
delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business
and in a social context. At TU Delft we embrace diversity and aim to be as inclusive as possible (see our Code of Conduct). Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale.</div>
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<div style="padding-left:36pt;">Challenge. Change. Impact!</div>
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