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Posted: Friday, January 19, 2018 12:10 AM



Deadline Open until filled
Date Posted December 15, 2017
Type Tenured, tenure track
Salary Not specified
Employment Type Full-time
Recruitment Period Open date: December 14th, 2017 Next review date: January 15th, 2018
Apply by this date to ensure full consideration by the committee. Final date: January 15th, 2018
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. Description
V2VCalifornia PATH (Partners for Advanced Transportation Technology), has been a leader in Intelligent Transportation Systems research since its founding in 1986. PATH is one of the research divisions in the Institute of Transportation Studies, University of California Berkeley. Since its foundation, PATH has been leading in the research field of Vehicle and Highway Automation in the world, particularly, in the development and demonstration of Connected Automated Vehicles (CAV) such as platooning and CACC (Cooperative Adaptive Cruise Control). PATH has also taking a leadership role in several other research areas in Intelligent Transportation Systems including: traffic system detection, monitoring, modeling, simulation, control and optimization and implementation; connected vehicle (CV) and CAV simulation and applications with assumed wireless communication between vehicle (V2V) and between vehicle and infrastructure (V2I & I2V); advanced computer vision and machine learning; transit system modeling, simulation and signal priority; transportation safety; and transportation planning.

Appointment Length:
This is a full time one-year position with the possibility of being extended annually based on performance and the continued availability of funding. Anticipated start date is February 1, 2018.

The Assistant Research Engineer will conduct research on micro-, meso- and macroscopic simulation of transportation systems, with a particular focus on freeway and arterial traffic modeling for microscopic simulation. The modeling and simulation work will represent the traffic effects of Connected Vehicles in traffic networks and Connected Automated Vehicle systems using Vehicle-to-Vehicle (V2V) and Vehicle-to- Infrastructure (V2I/I2V) wireless communication. The impacts to be assessed should include traffic throughput and travel time, energy consumption, and pollutant emissions. The transportation and traffic management studies will include system optimization in operations and planning. The candidate will be expected to document his or her research in professional publications for leading conferences and journals and to make oral presentations for internal and external audiences (including project sponsors).

Basic Qualifications:
At time of application
Ph.D. or equivalent degree in Civil Engineering or related field.

Additional Qualifications:
By start date

The candidate should have an experienced background in transportation systems in general and traffic systems in particular. Knowledge/experience in traffic data analysis, microscopic and macroscopic traffic simulation, fundamentals of automated vehicle modeling and implementation in simulation, such as Adaptive Cruise Control (ACC) and Cooperative ACC vehicles and their interactions with public traffic. Specific knowledge and experience of traffic simulation. Programming skills in C/C++, and Microsoft Visual Studio, Java, etc. Proven oral and written skills for communication, presentation and report/paper writing are also required. Experience in traffic modeling, simulation and performance evaluation of microscopic traffic simulation involving Connected and Automated Vehicles (CAV) and their impact on traffic throughput, pollutant emission, energy consumption with progressive market CAV penetration.

Preferred Qualifications:

A background in mathematics is desirable, particularly in system optimization with numerical computation. Candidate should be an efficient, self-motivated individual with demonstrated research and supervision of undergraduate and graduate students working on relevant projects. Post-doctoral experience in the relevant field will be a plus.

Salary will be commensurate with qualifications and experience and based on UC Berkeley salary scales. The anticipated salary is $93,200 (step 1)

Application procedure:
To apply go to

Please direct all questions for this position to Dr. Xiao-Yun Lu at

• Location: San Francisco

• Post ID: 91740162 sf is an interactive computer service that enables access by multiple users and should not be treated as the publisher or speaker of any information provided by another information content provider. © 2018