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Description of the project
Knowledge of the torque and torsional response of a maritime powertrain is important for emission-compliant control. Torque and torsional response are normally measured using strain gauges, dedicated torque sensors, or other instrumentation installed on the drivetrain. Torsional response can also be calculated if the external torsional forces acting on the powertrain are known, but measurements of this external forcing are rare in maritime powertrains. Instrumenting large maritime powertrains is also costly, and there is often not enough measured information available to fully determine the torsional response using conventional methods alone.

Unknown external forces and torsional response can instead be estimated using methods such as convex optimization or Kalman filtering. These torque estimation methods allow much more freedom in sensor placement and reduce the number of sensors needed to characterize the full torsional response of the powertrain.

This project aims to develop

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Scientists in Vienna have achieved a major breakthrough in timekeeping by creating the world’s first self-stabilizing nuclear clock, a technology that could eventually surpass even the most precise atomic clocks. Instead of relying on electrons in atoms, the clock uses the tiny nuclei of thorium atoms, which are far less sensitive to outside disturbances.

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Princeton Plasma Physics Laboratory may have found a dramatically more efficient route to fusion energy by reversing the traditional approach: heating plasma first, then increasing its density. Their calculations could help future reactors reach self-sustaining fusion with far less energy while avoiding hidden problems that make ignition harder.

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Assistant Professor in Robotics (#4407)

Mechanical Engineering and Engineering Science

Position Overview

The Department of Mechanical Engineering and Engineering Science at the University of North Carolina at Charlotte invites applications for a nine-month, tenure-track faculty position at the rank of Assistant Professor in robotics, with an expected start date of August 2027.

We seek candidates conducting foundational research in robotics and autonomy with broad applications across manufacturing, aerospace, space, defense, and energy.

Areas of interest include, but are not limited to:

Embodied AI, physical intelligence, and learning-enabled robotics; Robotic manipulation and locomotion; Mobile robotics and autonomous systems; Robotics and automation for advanced manufacturing; and Soft, continuum, and compliant robotic systems.

Research that complements and expands existing departmental strengths is particularly encouraged. Relevant faculty expertise includes digital twins and AI for manufacturing, human–robot interaction, assisted driving, traffic-flow automation, bio-inspired robotics, multi-robot systems and

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