Research Specialist I

Location
New Jersey, United States
Posted
11 Oct 2020
End of advertisement period
30 Nov 2020
Ref
12049
Contract Type
Fixed Term
Hours
Part Time

Department   Architecture
Category   Research and Laboratory
Full-Time / Part-Time   Part-Time
Name of Lab   Prof. Parascho-CREATE
Application Deadline   11/30/2020

Overview

The CREATE Lab Princeton invites applicants for a Research Specialist position in computational design and machine learning. The position is associated with the project “Bringing Social Distancing to Light: Crowd Management Using AI and Interactive Floor Projection” ( https://www.princeton.edu/news/2020/06/23/princeton-faculty-members-receive-grants-covid-19-research-c3ai-digital ) which focuses on mitigating the impacts of COVID 19 through the simulation of pedestrian collective behaviour and the proposal of physical interventions to public spaces. The project is led by the CREATE Lab, School of Architecture Princeton (Prof. Stefana Parascho) and the Tarnita Lab, Department of Ecology and Evolutionary Biology (Prof. Corina Tarnita).

During COVID-19 all work will be done in accordance with Research Resumption Plan as submitted. The work can be partially executed remotely, and will not require presence on campus for the entire duration of the project. However, during the implementation phase, periodical presence on campus (in accordance with Campus COVID-19 Regulations) will be needed.

The full time appointment is for 10 months (Nov 2020 - August 2021) with possible extension to 12 months.

Responsibilities

The research specialist will be responsible for:
a. extracting image/video data on pedestrian movement through different public spaces and developing and implementing a simulation tool for predicting people’s movement behavior under diverse circumstances.

b. developing and implementing a projection-based intervention system to safely guide pedestrians to navigate indoor spaces.

Qualifications

  • Bachelor degree required.
  • Ideal job candidates should have experience with or knowledge of Machine Learning methods (predictive models), they should be well versed in programming languages (Python, additional languages are a plus), and they should have interest in and a good understanding of architectural geometry.
  • Experience with custom hardware setups is a plus.
  • A background in computer science, engineering or architecture is preferred.

Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. EEO IS THE LAW

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