Researcher/Scientist III, Civil and Architectural Engineering and Mechanics

The successful applicant will work with multiple research areas, including but not limited to, intelligent transportation systems, transportation planning, smart mobility, big data analytics, large-scale transportation system simulation and analysis,
transportation safety analysis, and/or traffic operations. This applicant will also work on writing grant proposals and coordinating administrative processes, and potentially support Arizona Transportation Institute (AZTI) of conducting research and project management.

We are seeking a well-rounded, motivated, and enthusiastic individual with experience in the aforesaid research areas. This individual should be detailed-oriented, conscientious, and have the ability to communicate in a clear, concise manner orally
and in writing.

CATS is a college-level research center established at the University of Arizona (UArizona) and founded in 2021. CATS' mission is to serve as a research, training, and capacity-building resource for regional governments, educational institutions, and
private sectors in the field of Smart Communities. The research areas include but are not limited to Transportation Systems Management and Operations (TSMO), transportation system performance management, and Mobility on Demand (MOD).

Outstanding UA benefits include health, dental, and vision insurance plans; life insurance and disability programs; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; state retirement plan; access to UA recreation and cultural activities; and more!

The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here.

• Manage sponsored research projects by serving as a Principal Investigator (PI), Co-PI, or Project Manager (PM), on research projects.
• Conduct advanced research, perform experiments, and analyze data in multiple research areas.
• Participate in grant writing, including generating preliminary data, submitting grant applications, and preparing progress reports.
• Travel to pitch research ideas to local research sponsors.
• Present research at local, national and international conferences.
• Prepare manuscripts for publication in peer-reviewed journals.
• Mentor and train graduate and undergraduate research assistants and low-level staff.
• Contribute to classroom and workshop teaching.
• Additional duties as assigned.

Knowledge, Skills, and Abilities:

• Knowledge of transportation engineering topics, such as traffic operations, transportation planning, pavement, safety, etc.
• Advanced database and computer programming skills, including database management and coding in Python, R, etc.
• Strong interpersonal skills in working with both technical and non-technical personnel at different levels in the organization.
• Ability to effectively communicate verbally and in writing.

• Minimum of five (5) years of relevant work experience, or equivalent combination of education and work experience.
• Bachelor's degree in Civil Engineering or related field or equivalent advanced learning attained through professional level experience required.
• Must have a valid driver's license and ability to drive according to the University Fleet Safety Policy.

• Master's or PhD in Civil Engineering or related field.
• Experience in transportation data collection methods and technologies.
• Prior experience of working as a PI or Co-PI in sponsor-funded projects.
• Established track record in developing strong proposals and securing funding.
• Familiarity in working with local transportation agencies in Arizona (or elsewhere).
• Prior experience of grant writing.

Application: The online application should be completed in its entirety. Blank or missed information may be considered an incomplete submission.

Letter of Interest: Should clearly indicate how your skills and professional employment experience meet the Minimum and the Preferred qualifications (if applicable).