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The Department of Engineering Science intends to appoint an Associate Professor of Engineering Science (Information Engineering) from 1st August 2026 or as soon as possible thereafter. The successful candidate will work at the Department of Engineering Science (Central Oxford, OX1 3EJ) and will be offered a Tutorial Fellowship at Somerville College under arrangements described in the Job Description. The combined University and College salary will be on a scale currently from £55,766 to £74,867 per annum plus additional benefits (see the Job Description for full details) including a housing allowance of £12,642 p.a.. The appointment will be initially for five years at which point, upon completion of a successful review, the post-holder will be eligible for reappointment to the retiring age.

This appointment will strengthen the Department’s research in the fast-growing area of Information Engineering. The successful candidate will conduct original research in the

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RSS Feed Source: Academic Keys

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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