Adjunct Research Professor
Adjunct Research Professor
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Salary Not Disclosed
1 Vacancy
Job Description
APPLICATION INSTRUCTIONS:
CURRENT PENN STATE EMPLOYEE (faculty staff technical service or student) please login to Workday to complete the internal application process. Please do not apply here apply internally through Workday.
CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State please login to Workday to complete the student application process. Please do not apply here apply internally through Workday.
If you are NOT a current employee or student please click Apply and complete the application process for external applicants.
Approval of remote and hybrid work is not guaranteed regardless of work additional information on remote work at Penn State seeNotice to Out of State Applicants.
JOB DESCRIPTION AND POSITION REQUIREMENTS
The Larson Transportation Institute in the College of Engineering at Pennsylvania State University is actively seeking a highly motivated candidate to conduct research within the field of Transportation Engineering. This part-time research professor position will primarily focus on autonomous vehicles and dynamic system modeling contributing to cutting-edge research projects in smart mobility particularly concerning connected and automated vehicles and their profound impact on multi-scale transportation system modeling.
Qualified candidates are expected to meet the following requirements:
- Possess a Ph.D. in Civil Engineering or a related engineering field.
- Demonstrate a strong background and hands-on experience in one or more of the following areas of transportation engineering: transportation systems modeling automated vehicle development and testing demand management SLAM and perception and AI applications in transportation engineering.
- Exhibit advanced analytical and problem-solving skills.
- Display the ability to conduct high-quality research and showcase research outcomes through prior publications and presentations.
- Possess excellent communication and presentation skills.
- Demonstrate leadership qualities.
- Preferred qualifications for this position include a strong background in mathematical modeling and programming or substantial hands-on experience in autonomous vehicle development testing and simulation.
Key responsibilities associated with this position are as follows:
- Lead and conduct research activities related to automated and transportation system modeling.
- Provide technical support to an existing project that focuses on AV and traffic modeling.
- Author and co-author high-quality journal papers.
- Collaborate and coordinate research efforts with both internal and external research teams and industry partners.
- Provide support to the Principal Investigator (PI) in the preparation of grant proposals.
Interested candidates are required to submit the following documents along with their application in WorkDay:
- An academic CV.
- A research vision statement outlining future career goals.
- Contact information for at least three academic references.
For any questions or inquiries related to the position applicants are encouraged to reach out to Dr. Xianbiao (XB) Hu ( When contacting Dr. Hu please include LTI research professor position in the email subject line.
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988 Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security such as those concerning alcohol and drug use crime prevention the reporting of crimes sexual assault and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race color religion age sex sexual orientation gender identity national origin disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability please contact .
Employment Type
Part-Time
