[visionlist] Postdoc in Visual Control and Modeling of Pedestrian and Crowd Dynamics, Brown University

[William Warren]

Postdoc in visual control and modeling of pedestrian and crowd dynamics

A post-doctoral position is available in the VENLab (Virtual Environment Navigation Lab) at Brown University, Providence, RI USA, under the direction of Dr. William H. Warren, Department of Cognitive, Linguistic & Psychological Sciences (CLPS). This is a full-time, 1-year position, with the possibility of renewal for up to 3 years based on satisfactory performance. 

The NIH-supported project investigates the visual control of locomotion in dynamic, crowded environments, with applications to sensory substitution for locomotor guidance.  Behavioral experiments focus on the visual control of pedestrian interactions and collective crowd motion, using VR techniques. Computational modeling includes developing a vision-based pedestrian model and simulations of collective motion.  The results will be used to design and evaluate assistive technology for guiding locomotion with a vibro-tactile belt.  The research makes use of virtual reality (visual and haptic), kinematic time-series analysis, dynamical systems modeling, and agent-based simulation methods.

Candidates must hold a Ph.D. in Cognitive Science, Psychology, Engineering, Computer Science, or a closely related field, with a strong research background in perception and action in humans or animals. Excellent computational and dynamical modeling skills (Matlab/Python) and knowledge of simulation and model comparison methods are essential; statistical expertise (Matlab/R) is highly desirable.  The candidate must have excellent verbal and written communication skills, a strong motivation, and work well with a team.  The start date is fall, 2021.

To express your interest, please send a CV, a 1-page statement of research interests, and the names of three references to Bill_Warren at brown.edu <mailto:Bill_Warren at brown.edu>. Review of materials will begin Oct. 15, 2021, and continue until the position is filled.

Brown University is committed to fostering a diverse and inclusive academic global community; as an EEO/AA employer, Brown considers applicants for employment without regard to and does not discriminate on the basis of race, gender, sex, sexual orientation, gender identity, national origin, age, protected veteran status, disability, or any other legally protected status.



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