The successful applicant will conduct analytical and computational research in the area of structural damage detection and prognosis, via physics-informed machine learning, and work with immediate supervisor in writing scholarly articles and research proposals.
The initial appointment will be for one to two years with a possibility of renewal based on productivity and performance and the availability of funding.
Minimum Qualifications (Required):
PhD in Mechanical Engineering, Structural Engineering, Applied Math/Statistics, Computer Science, or related areas
Deep Learning, Damage Diagnosis and Prognosis, Big Data Analytics, Risk Analysis, Uncertainty Quantification
Dynamic and computational model formulation; statistical modeling; computer programming; finite element modeling and analysis and computational simulation; effective scientific and interpersonal communication (individual and group meetings, presentations, written reports, journal publications, etc.)
Should demonstrate a minimum number of at least 3 publications in the field of data analytics and risk quantification of structural health monitoring and prognosis
Ability to work independently, with limited direction, as well as within a team environment
Ability to mentor and inspire students with limited research experience
The ability to work effectively with diverse groups
Special Instructions to Applicants:
This position is contingent upon funding.
Only Internal UML Employees within the Grants & Contracts (MTA/GRACE) bargaining unit will be considered during the first 10 business days of the posting. All other candidates will be considered after that period.
Initial review of applications will begin immediately and continue until the position is filled. However, the position may close when an adequate number of qualified applications are received.
Please include a resume, cover letter and list of publications with your application. Names and contact information of three references will be required during the application process.
Internal Number: 504497
About University of Massachusetts Lowell
A PUBLIC RESEARCH UNIVERSITY COMMITTED TO EXCELLENCE
The University of Massachusetts Lowell is a nationally ranked public research university committed to excellence in teaching, research and community engagement. We strive to prepare students to succeed in college and to become lifelong learners and informed citizens in a global environment. UMass Lowell offers affordable, experience-based undergraduate and graduate academic programs taught by internationally recognized faculty who conduct research to expand the horizons of knowledge and sustainable practices. The programs span and interconnect the disciplines of business, education, engineering, fine arts, health, humanities, sciences and social sciences. The university continues to build on its founding tradition of innovation, entrepreneurship and partnerships with industry and the community to address challenges facing the region and the world.
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The mission of the University Risk Management and Insurance Association is to advance the discipline of risk management
in higher education.