Transportation Research Engineer

The Transportation Research Engineer will extend technical expertise in the Traffic Lab, develop new research avenues utilizing existing and improved experimental resources. You will collaborate with faculty to prepare proposals to actively pursue new research funding, and interface with sponsors on field implementation of research projects.

You must submit examples of work with large data sets exceeding 10 billion records to be considered for this position.

The Lyles School of Civil Engineering at Purdue University strives to advance civil engineering learning, discovery, and engagement in fulfillment of the Land Grant promise and the evolving responsibility of a global university.

For the past several years, we have been consistently ranked by U.S. News & World Report as one of the top 10 civil engineering undergraduate and graduate programs in the country. We are justifiably proud of our past accomplishments; prouder still of the hard work, dedication, and academic rigor it took to get us to this point.  But we are striving to improve further.  While our accomplishments, not to mention our graduates, have been exemplary, we will not merely reflect on the past but continue to make civil engineering history.  We are committed to leading the civil engineering profession and to be the most sought-after civil engineering program in the country.

For more information about our department, please visit: https://engineering.purdue.edu/CE

Education and Experience:

Required:

• Master’s degree in Civil Engineering or related degree
• 2-3 years of experience in transportation and infrastructure systems and analyzing large data sets such as commercial probe vehicle data, airport operations data, and traffic signal data
• Experience with multiple types of connected / probe vehicle data analysis; these vehicle probe data include commercially available crowd sourced data, Bluetooth MAC address matching data, side fire radar, wireless magnetometer sensors, inductive loop technology, and video analysis
• Experience with traffic signal systems and vehicle detection systems
• Experience with Cloud data warehousing services, ArcGIS, SQL Server, the Microsoft Office Suite, version control systems (such as Git), Adobe After Effects, Synchro, HCS, and VISSIM
• Experience with creating and handling real-time data ingestion services from telematics APIs

Preferred:

• Ability to provide evidence of this experience in technical reports or publications

Skills:
Required:                

• Knowledge in the following areas: relational databases, traffic operations, transportation systems analysis, optimization, performance measures
• Demonstrated expertise using Google Big Query
• MUST submit examples of work with large data sets exceeding 10 billion records
• Discretion and independent judgment in all areas of research including choosing methods and strategies and avoiding loss of valuable research time and resources
• Responsible and accountable for design of field experiments
• Ability to delegate and manage day-to-day research procedures
• Strong verbal and written communication skills, demonstrated by a history of publication/research dissemination

• Purdue University will not sponsor employment authorization for this position  
• A background check will be required for employment in this position
• FLSA: Exempt (Not Eligible for Overtime)
• Retirement Eligibility:  Defined Contribution Waiting Period
• Purdue University is an EOE/AA employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply
• Benefit Statement: Purdue University offers a substantial Benefit Package including medical, dental, and vision insurance as well as a generous paid time off package for sick and vacation days