Post Doctoral Research Associate
- Rochester Institute of Technology
- Location: Rochester, NY
- Job Number: 7089986
- Posting Date: Dec 2, 2021
- Application Deadline: Open Until Filled
Job DescriptionDetailed Job Description
The College of Engineering Technology (CET), Department Of Civil Engineering Technology, Environmental Management, and Safety (CETEMS) at the Rochester Institute of Technology (RIT) is soliciting applications for a one year full-time post-doctoral research position. Essential Responsibilities: Conduct research in designated areas of expertise, Publish research papers, Assist in managing research laboratory, Assist in graduate student supervision, Assist in research/funding proposals
Applicants should have demonstrated background in one or more of the follow areas of research:
Optical sensing and optical metrology, including laser-based surface texturing and imaging (LiDAR), event-camera and high-speed camera based scanning and processing, 3D photogrammetry and stereovision, digital image correlation, synthetic aperture imaging, image processing and computer vision, Traffic controller design and operation, Autonomous and connected vehicles, GPS applications in GIS network, Large-scale stochastic optimization, mixed integer programming, convex programming, network programming, Artificial intelligence, machine learning and statistical learning, Geopolymer and/or asphalt modification with novel materials as additives (epoxy resin, graphene, bio-asphalt, nanomaterials, nanotubes, fullerene, graphene, recycling materials, synthetic polymeric materials), Experimental mechanics of solids, including asphalt mixture testing and visco-elasto-plasto constitutive models, Structural dynamics of vehicle, bridge, high-speed railway and train, Bridge structural health monitoring, Nondestructive testing and evaluation, Finite element method and discrete element method.
Rochester Institute of Technology is a diverse and collaborative community of engaged, socially conscious, and intellectually curious minds. Through creativity and innovation, and an intentional blending of technology, the arts and design, we provide exceptional individuals with a wide range of academic opportunities, including a leading research program and an internationally recognized education for deaf and hard-of-hearing students. We are dedicated to building a diverse community, one where employees feel a sense of belonging, and are valued for their contributions and the perspectives they bring.
As a member of the RIT community, you'll receive a comprehensive employee benefits package that offers multiple options and access to additional employment advantages. You can tailor your benefit elections to meet your needs (affordable medical/dental/vision benefits; paid vacation/sick time/retirement saving plan with exceptional employer match; and tuition assistance for you and your family, to name a few).
The department is housed in the College of Engineering Technology (CET), one of RIT’s nine colleges, which enrolls approximately 12% percent of the university’s students. CET prides itself on its constant evolution, innovation, and global outreach via online learning, corporate education, and international programs. CET is known throughout the RIT, national, and international communities as an excellent choice for an education that embraces the integration of “hands-on learning” and application based instruction grounded in science, technology, engineering, and mathematics (STEM) subjects. (https://www.rit.edu/engineeringtechnology/department-civil-engineering-technology-environmental-management-and-safety).
Required Minimum Qualifications
Advanced degree: Earned PhD. Civil and Environmental Engineering, Mechanical Engineering, Electrical Engineering, Computer Science, Computer Engineering, Optical Engineering, Chemical Engineering, Material Science and Engineering, Applied Mathematics, Operations Research, Statistical Science, Data Science, or in relevant field.
Effective writing skills for publication of articles in scientific journals
Strong publication record
Ability to work independently and in collaboration with graduate students and other collaborators
Effective communication skills
Strong background in laboratory experience or numerical computation
Ability to program in Matlab, C++, Python, or an equivalent language
Ability to perform any of the software packages (ABAQUS, ANSYS, COMSOL, LS-DYNA, optimization, TensorFlow, SAS, R, optical modeling) is a plus.