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The Department of Mechanical Engineering at Johns Hopkins University invites applications for tenure-track or tenured faculty positions to lead the transformation of mechanical engineering through data science (DS) and artificial intelligence (AI). We seek scholars who advance the field through foundational contributions to DS and AI, as well as apply these methods to address grand challenges in mechanical engineering. We welcome candidates whose research pushes the boundaries of what is possible when deep expertise in DS/AI intersects with core mechanical engineering domains, including fluid dynamics, mechanics and materials, dynamics and controls, robotics, biomechanics and bioengineering in human health, energy systems, space engineering, planetary health, and climate resilience.

Examples of DS/AI-centric research thrusts of interest to Mechanical Engineering include, but are not limited to:

AI-accelerated modeling and simulation for multiphysics and multiscale problems Physics-informed and hybrid learning for reduced-order and surrogate models Uncertainty quantification,

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RSS Feed Source: Academic Keys

The Department of Mechanical & Materials Engineering (https://engineering.unl.edu/mme) at the University of Nebraska-Lincoln (UNL) invites applications for a tenure-track faculty position at the Assistant Professor level. The successful candidate is expected to develop a world-renowned research program in any area related to mechanical engineering or a closely related field and contribute to teaching courses related to aerospace engineering. A research program that leverages AI/ML in a principled way will be considered a significant strength. We seek innovative and inspirational scholars with a commitment to excellence in teaching, research, service, and engagement.

The Department of Mechanical & Materials Engineering (MME) consists of approximately 29 tenured/tenure-track faculty, over 800 undergraduate students, and 120 graduate students. Recent investments in the College of Engineering include a new ~$80M research building and a new $120M teaching and learning building. UNL supports an outstanding system of central facilities housing state-of-the-art

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RSS Feed Source: Academic Keys

Research Faculty – AI for Surgical Simulation and Skill Assessment

Florida State University

Office of the Dean, FAMU-FSU College of Engineering

(12- Month, Permanent, Non-Tenure Track Position)

Position Overview:

Artificial intelligence (AI) and immersive simulation are redefining how surgeons learn—enhancing training outcomes, reducing errors, and improving patient safety.

Florida State University (FSU) invites applications for a Research Faculty position in AI for Surgical Simulation and Skill Assessment, housed within the FAMU-FSU College of Engineering.

This position offers an exciting opportunity to join a growing interdisciplinary research program that integrates AI, computer vision, and virtual reality (VR) to create next-generation systems for surgical training and evaluation. The successful candidate will help design AI-driven, data-informed simulation platforms that objectively assess performance, accelerate skill acquisition, and enable adaptive, personalized learning.

The position is ideally suited for a researcher passionate about combining machine learning, real-time simulation, and human

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RSS Feed Source: Academic Keys

Preliminary flood risk information and updated Flood Insurance Rate Maps are available for review by residents and business owners in affected communities in Carroll County, New Hampshire, including the Town of Ossipee. Residents and business owners are encouraged to review the latest information to learn about local flood risks and potential future flood insurance requirements.

The updated maps were produced in coordination with local, state and FEMA officials. Significant community review of the maps has already taken place. Before the maps become final, community stakeholders can raise questions or concerns about the information provided and participate in the 90-day appeal and comment periods.

The 90-day appeal and comment period for the Town of Ossipee began on October 15, 2025. The Town was added to the May 22, 2025 Proposed Flood Hazard Determinations Notice in the Federal Register through a correction, which is available at the following website: https://www.federalregister.gov/documents/2025/08/20/2025-15876/proposed-flood-hazard-determinations

Residents may submit an appeal if they think modeling or data used to create the map is technically or scientifically incorrect.

An appeal must include technical information, such as hydraulic or hydrologic data, to support the claim. Appeals cannot be based on the effects of proposed projects or projects started after the study is in progress.If property owners see incorrect information that does not change the flood hazard information — such as a missing or misspelled road name in

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