Location: Newark, NJ
Company: New Jersey Institute Of Technology
at the Assistant Professor level in the area of transportation systems, with an emphasis on advanced transportation mobility, multimodal transportation systems management and operations, resilient and sustainable transportation systems. Both educational and research aspect of this position will be cross-cutting and multidisciplinary, relaying on transportation systems analysis, integration of sensors for transportation data acquisition, data science and artificial intelligence data analytics and visualization, modeling of transportation systems, and considerations of mobility and impact of transportation on sustainable urban growth and development.
With 22 tenured/tenure-track faculty,
CEE is a one of the most active departments at NJIT when it comes to research, with annual research expenditure exceeding $7M. Research thrust areas include resilient infrastructure systems, sustainable environmental systems and intelligent transportation systems and are funded by NSF, USDOT, USDOD, USEPA, NJDOT, NJDEP and private foundations, among others.
The department offers bachelor, masters and doctoral programs serving about 1000 students. CEE, in addition to all the core disciplines, offers both an MS and Ph D in Transportation. Essential Functions: - Candidates are expected to conduct and advance scholarly research in transportation systems management and operations, advanced
mobility, transportation systems resiliency, safety and security, performance monitoring and analysis, economic development, and sustainable growth aspect of investments in transportation.
- We are seeking candidates with experience in deployment and integration of sensors and digital communication for transportation data acquisition, analysis, and system evaluation, such as infrastructure-based and vehicle-based sensor integration. - Demonstrable experience with integration of sensors in urban corridors with legacy technology and transportation control systems is highly desirable. The candidates should have experience in translating the results of transportation systems analysis to planning and operations strategies and policies.
- The Department is interested in recruiting candidates with keen research interest and experience in applications of artificial intelligence (AI) in transportation systems engineering and planning, especially the applications in studying and advancing emerging mobility technologies and solutions for first/last mile travel and delivery services, including micro mobility, automated mobility, Urban Air Mobility (UAM) and use of drones in transportation systems management and operations, as well as data-driven transportation infrastructure operations.
- The candidates are expected to take initiative in research activities involving the analysis of cross-cutting impacts of innovative transportation technologies and management strategies, with application of advanced data modeling of intermodal transportation systems. - Candidates are expected to teach undergraduate and graduate courses in transportation engineering, as well as provide service to the program, department, university and profession. Additional Functions: - The envisioned research directions imply experience in the areas of advanced transportation demand management, advanced traveler information systems, traffic incident management and safety management, and performance-based planning and operations, with a comprehensive understanding of integrated multimodal transportation systems, including both passenger and freight transportation modes.
- Understanding of the current state of practice, emerging concepts and trends, and future needs for AI solutions in the transportation field is highly desirable. - Candidates should have the ability to apply computational transportation modeling in the analysis of transportation systems based on a variety of sensor data, including connected-vehicles, vehicle probe data, crowd-sourced user data, and roadside sensor data.
- The candidates must have a keen interest in and experience of transferring this knowledge in teaching capacity. - The ability to apply and teach application of innovative modeling techniques such as activity-based and simulation models for travel demand and transportation impact analysis, application of transportation big data and AI in transportation systems planning and transportation management and operations, and economic impact analysis of transportation systems is highly desirable.
Prerequisite Qualifications: - Candidates are expected to have a Ph. D. in transportation engineering, civil engineering, or a closely related field. Candidates should have a record of scholarly achievement and a demonstrated commitment to excellence in undergraduate and graduate education. - They should possess a strong enthusiasm and ability to teach broadly and conduct research within the department. - This faculty position is expected to sustain a significant externally funded research program in their areas of specialization. - Thus, the department is seeking outstanding candidates with strong research interests, track record and experience in preparing research/grant proposals, and proven research experience and scholarly accomplishment.
- At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position. Bargaining Unit: PSA FLSA: Exempt Full-Time Special Instructions to Applicants: Rank and salary will be commensurate with qualifications and experience.
Applications must be posted at njit. jobs and must include a curriculum vitae, teaching and research statements, cover letter and list of 3 professional references. Questions may be directed to the Department chairperson, Dr. Taha F. Marhaba; Save Job
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