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Lehigh University 
Department of Materials Science and Engineering Faculty Position
Post Date: October 2, 2025
Department(s):
Assistant or Associate Professor of Materials Science and Engineering
Job Description:
The Materials Science and Engineering Department (MS&E) within the P.C. Rossin College of Engineering & Applied Science at Lehigh University invites applications for a tenure-track faculty position as an Assistant or Associate Professor with an anticipated start date of July 1, 2026. Tenure on appointment is possible for senior candidates. The area of interest for this search is computational materials science. 

The successful candidate will be expected to develop a thriving research program in materials modeling/simulation, in areas such as large-scale atomistic simulations (e.g., Monte Carlo, molecular dynamics) of structure–property relationships, mesoscale modeling of microstructures, first-principles electronic structure calculations (DFT), and emerging AI/datadriven methods for materials discovery, property prediction, and design optimization. Successful candidates will have the opportunity to collaborate with researchers utilizing

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RSS Feed Source: Academic Keys

From 03/10/2025 to 03/10/2025, a Tropical Storm (maximum wind speed of 130 km/h) TWO-25 was active in NorthIndian. The cyclone affects these countries: India (vulnerability High). Estimated population affected by category 1 (120 km/h) wind speeds or higher is 0 (16.04 million in tropical storm).

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Geomechanics and Geosensing Faculty Position
The Department of Civil and Environmental Engineering (CEE) at the University of Houston invites applications for a fulltime,
tenure-track faculty position in the broad area of Geomechanics/Geosensing nexus. All qualified candidates are invited
to apply at the Assistant or Associate Professor rank, with encouragement for those with multidisciplinary interests.

Qualifications
We seek an exceptional individual to lead a dynamic, internationally recognized research and teaching program at the intersection of geomechanics modeling, geosensing, and machine learning/data analytics. The ideal candidate will have a background in civil and environmental engineering, geosciences, or geomatics, with a strong record of research excellence and scholarly publications in computational/theoretical modeling and its application to remote sensing technologies. We especially encourage applications from individuals whose work addresses natural hazards (e.g., earthquakes, landslides), geothermal energy, or nationally significant areas such as critical mineral exploration and recovery. Preference will be given to

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