Purdue School of Engineering and Technology

Purdue School of Engineering and Technology

Assistant Research Professor Position

October 31, 2014


Transportation Active Safety Institute

Department of Electrical and Computer Engineering

Essential duties and responsibilities:

The person will involve multiple research projects in the area of human factors in intelligent transportation systems. These projects are related to human-machine interface issues of vehicular technology, transportation active and passive safety, large-scale naturalistic driving data collection and analysis, and human factors in autonomous driving vehicle development, utilization and evaluation.

The person is expected to

  1. develop and test multi-level driver and pedestrian cognitive/physical behavior and anthropometric models with induction of comprehensive vehicle movement and driving needs patterns, multimodal perceptual load variations, road and traffic conditions, and environment scenarios;
  2. complete design of experiment and construct complex scenarios to evaluate human-vehicle interactions and study driver behaviors using driving simulators, parked experimental vehicles, on-track driving vehicles, and naturalistic driving data collection;
  3. prepare Institutional Review Board documents, design data acquisition processes from multiple devices and sensors, regulate data collection protocols, develop driver behavior control systems, create cognitive- construct measuring questionnaires, and control subjects for large-scale subject-based in-lab or naturalistic driving data collection;
  4. evaluate and apply human behavior data acquisition methods and perform corresponding data analysis including optical, magnetic, mechanical, and camera-based full-body or partial-body motion capture devices, eye-tracking devices, and other biomedical signal capture devices in driving simulator or real vehicular cabins;
  5. design and implement computational intelligence based models for learning human behavior and vehicle movement data, develop graphical user interfaces for video analysis, and use statistical tools for testing hypotheses;
  6. involve other ongoing research projects related to computational intelligence, crash mannequin development, vehicle crash tests,  and other automobile active and passive safety topics;
  7. Actively pursue external funding in order to continue the position after the first year of employment;
  8. Supervise undergraduate and graduate students.

The successful candidate should

  1. have a Ph.D. degree in industrial engineering majoring in human factors and ergonomics with transportation human factors and digital human modeling background;
  2. at least three years of research experiences in human behavior modeling, human-vehicle interaction, driver simulator and naturalistic driving data collection, and intelligent transportation systems;
  3. provable expertise and experience in following areas: multimodal human-vehicle interaction, design of experiment, pattern recognition and factor analysis for learning and predicting human behaviors, digital human modeling, human cognitive model, driving and crash simulation, as well as motion capture and behavior acquisition systems;
  4. provable programming prowess in Visual Basic, VBA, and Matlab, potent understanding of statistical hypotheses testing and relationship modeling, and rich experiences in using Excel and SPSS or SAS. 
  5. must be a clear, articulate, effective communicator (written, verbal, and presentation)

To Apply:

Send CV and cover letter with a list of three references by email or regular mail to:

Ms. Amanda Herrera

Department of Electrical and Computer Engineering

723 W. Michigan St., Ste. SL 160

Indianapolis, IN 46202

Application deadline is: November 21, 2014

IUPUI is an Affirmative Action/Equal Opportunity Institution M/F/D