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Assistant Research Engineer - Institute of Transportation Studies, California PATH (Partners for Advanced Transportation Technol

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Position 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.

Responsibilities
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:
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 https://aprecruit.berkeley.edu/apply/JPF01615

Please direct all questions for this position to Dr. Xiao-Yun Lu at xiaoyun.lu@berkeley.edu

Job will remain open until filled

Requirements:
• Cover Letter
• Curriculum Vitae – Your most recently updated CV
• Publication List
• Statement of work

References:
Letters of reference may be requested of finalists. 3 references required (contact information only)

All letters will be treated as confidential per University of California Policy and California State law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality: (http://apo.berkeley.edu/evalltr.html) prior to submitting their letters.

We are interested in candidates who will contribute to diversity and equal opportunity in higher education through their research.

The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy see: http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct.

Application Requirements

Document requirements
  • Curriculum Vitae - Your most recently updated C.V.

  • Cover Letter

  • Statement of Work

  • Publication List

Reference requirements
  • 3 required (contact information only)

Job location

Berkeley, CA