RSS Feed Source: Academic Keys

The research groups of Prof. Chad Landis and Prof. Fabrizio Bisetti at the University of Texas at Austin are engaged in funded research on modeling and simulation of the response of Ceramic Matrix Composite (CMC) materials to high-speed flows.

A postdoctoral fellow position on this topic is available starting immediately. The appointment is yearly and renewable for up to 3 years based on performance and availability of funding. The salary is between $65,000 and $75,000 per year, depending on qualifications and experience. Benefits include health, dental, and vision insurance, and relocation allowance.

The postdoctoral fellow will be responsible for (i) formulating a mathematical model for the external heat and mass transport in the boundary layer, radiative heat transfer at the surface of the CMC, and thermal conduction in the anisotropic material, (ii) formulating mathematical models for the structural response and failure of the CMC,

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Professional Track Teaching Faculty Position in Structural Engineering

POSITION SPECIFICS
Professional Track Teaching Faculty Position in Structural Engineering

The Department of Civil and Environmental Engineering (CEE) at The Pennsylvania State University invites applications for a full-time, professional track (non-tenure line), teaching faculty or Professor of Practice position in structural engineering. The successful candidate will teach undergraduate and graduate courses, advise students, and contribute to the department through service and committee work.

Preference will be given to applicants with significant industry- and/or design-related U.S. experience and those who hold, or are expected to hold by the time of the appointment, a Doctoral degree in civil engineering, or a closely related field. Engineers with a M.S. degree and significant relevant industry experience are also invited to apply and will be considered for a Professor of Practice position. Candidates should be, or intend to be, licensed as a professional engineer (P.E.)

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Job ID: 263054

OERI – Critical Infrastructure and Data Transformation (CID) to Advance National Security (Research Faculty, Non Tenure Track )
Old Dominion University

Job Description

The Office of Enterprise Research and Innovation (OERI) at Old Dominion University invites applicants for an annual 10-month position at Non-Tenure Track Assistant/Associate/Full Research Professor rank as part of a multi-position hiring cluster aiming for the Critical Infrastructure and Data Transformation to Advance National Security to begin in Fall 2026. This is an annual 12-month appointment that will begin July 25, 2026. The cluster, with faculty hires in School of Data Science, Batten College of Engineering and Technology and Office of Enterprise Research and Innovation, integrates interdisciplinary research in resilient infrastructure, infrastructure data transformation, and secure smart systems to address national security challenges in coastal regions. It explicitly

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Postdoc: Harnessing Real-time Weather Data for Bridge Inspection

Specialized Lab: Kinetic Structures Laboratory (https://ashleythrall.com/)
Department: Department of Civil & Environmental Engineering & Earth Sciences (www.ceees.nd.edu)
Institution: University of Notre Dame
Location: Notre Dame, IN
Application Deadline: Open until filled
Type: Full-time
Position Start Date: Fall 2025 (preferably) or early Spring 2026
Proposed Minimum Salary: $65,000

Job Description
Opening for a Postdoctoral Research Associate to work with Dr. Ashley Thrall in the Department of Civil & Environmental Engineering & Earth Sciences at the University of Notre Dame. The successful candidate will perform cutting-edge research investigating near real-time weather data to improve guidance for bridge inspections following rainfall events. Recent rainfall events in Indiana have washed out bridges, resulting in broken transportation networks and loss of life. The National Oceanic and Atmospheric Administration (NOAA) provides near real-time weather information that integrates data from radar, rain gauges, satellites, numerical predictions, and other observations (i.e., lightning, surface,

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