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collaboration. Qualifications: Applicants must have a PhD in Robotics, Control Engineering, Machine Learning, AI, Mechanical or Electrical Engineering, or a closely related field. Strong focus on robot
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models and data science ideas. Applicants must have received a PhD in engineering, computer science, urban science, or a related field. Experience in transportation, in particular related to urban science
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possible research topics include: (i) social media analysis, (ii) collaboration and teamwork, (iii) gender inequality, (iv) diversity, (v) online controlled experiments, and (vi) network science. The ideal
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. Safe and Certified Control for manipulation: Designing control algorithms that ensure passivity, Lyapunov stability, and safety for human-robot collaboration. Qualifications: Applicants must have a PhD
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inequality, (iv) diversity, (v) online controlled experiments, and (vi) network science. The ideal candidate is self-motivated and hard-working with a PhD in Data Science, Computational Social Science
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imaging) at the exclusion of combining information across modalities. Our long-term objective is to develop a “phenotypic fingerprint” from multimodal imaging data in healthy controls to be used as an early
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fingerprint” from multimodal imaging data in healthy controls to be used as an early predictor of adverse neurologic events. The overarching aim of this project, which represents the first step in
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interdisciplinary researchers in materials science, chemical and environmental engineering. Contribute to mentorship of students and lab group discussions. Minimum Qualifications: PhD in Chemical Engineering
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) Social Media Analysis (iii) Algorithmic Privacy, (iv) Analysis of Academic Collaborations, (v) Human-Bot interaction, (vi) Network Science. The ideal candidate is self-motivated and hard-working with a PhD
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interaction, (vi) Network Science. The ideal candidate is self-motivated and hard-working with a PhD in one of the following: Data Science, Computer Science, Computational Social Science, Information