The Department of Civil Engineering and Engineering Mechanics at Columbia University seeks applications for a position as an Associate Research Scientist. The candidate will work under the supervision of Prof. Andrew Smyth.
Using machine learning techniques, the Associate Research Scientist will develop probabilistic ambulance travel times for different times of the day based on previously acquired large data sets on general vehicle travel times as well as road network attributes such as numbers of lanes, on-street parking, traffic signal patterns etc. Large data sets on past years’ ambulance travel times will also be incorporated. Integrate the ambulance travel times into a larger simulation tool for optimization of EMS spatial deployment across an urban road network in order to promote optimal incident response times. Evaluate the performance of different deployment policies and prepare presentations to be made to our emergency services collaborator. Use developed tools to provide guidance on emergency response to localized neighborhood clusters of acute illness such as those seen during the Covid19 pandemic, to more optimally balance the load on nearby hospital emergency departments. Coordination with faculty and PhD students working on the project, as well as collaboration with the EMS collaborator analytics team.
The Associate Research Scientist is a professional officer of research whose qualifications are equivalent to those of an assistant professor with at least 3 years prior experience. ARS are expected to be able to coordinate independent research in the area of their training.
Excellent verbal and written communication skills required. Independent research capability is of high value.
Candidates must have a Ph.D. or Sc.D. in Civil Engineering and Engineering Mechanics.
Ph.D. degree or equivalent in engineering required. Ability to handle a multitude of tasks under the pressure of deadlines.
Special consideration will be given to candidates having strong research background in machine learning in a civil engineering context.
Applications should be submitted electronically and include the following: curriculum-vitae including a publication list, a description of research accomplishments, a statement of research.
The screening of applications will begin on August 1, 2020.