Tenure-track faculty position at in Data Science and Artificial Intelligence Mec.

Overview

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. 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—are encouraged to apply.

• AI-accelerated modeling and simulation for multiphysics and multiscale problems
• Physics-informed and hybrid learning for reduced-order and surrogate models
• Uncertainty quantification, verification and validation, and risk-aware decision-making
• Learning-enabled estimation, planning, and control for autonomous and human-in-the-loop systems
• Digital twins and lifecycle analytics for complex engineered systems
• Data-centric engineering, including sensing, data assimilation, experimental design, and streaming analytics
• Generative and inverse design with autonomous design exploration
• Edge and embedded AI for real-time inference and control
• Foundations of trustworthy, robust, and interpretable AI for engineering decision-making
• Agentic and Agent-based approaches
• Computer vision
• Natural language processing
• DS/AI for resilience, sustainability, and planetary health

Johns Hopkins University has made a landmark investment in data science and artificial intelligence by establishing the Johns Hopkins Data Science and AI Institute (DSAI Institute). The Whiting School of Engineering will add approximately 150 new faculty members over the next few years, construct a new half‑million‑square‑foot building to house the DSAI Institute, and deploy unparalleled computational infrastructure to support cutting‑edge research and collaboration.

This transformative initiative will establish Johns Hopkins University as one of the nation’s largest and most distinguished engineering schools, featuring a world‑leading AI research program. Faculty in the Department of Mechanical Engineering will play a vital role in this vision, with opportunities to engage across disciplines, access exceptional resources, and shape the future of data science and AI in engineering.

The Department of Mechanical Engineering leads distinctive research programs spanning core and emerging areas such as mechanics and materials, robotics, fluid mechanics and thermal processes, systems modeling and control, mechanical engineering in biology and medicine, energy and the environment, micro/nanoscale science and engineering, and space engineering. The department operates the Johns Hopkins Turbulence Databases (JHTDB), a multi‑terabyte open numerical laboratory that provides programmatic access to DNS datasets for data assimilation, model discovery, and ML benchmarking.

Faculty members also contribute to the Artificial Intelligence for Materials Design Laboratory (AIMD‑L) and engage across a network of university institutes and centers amplifying DS and AI research impact, including the Laboratory for Computational Sensing and Robotics (LCSR), Institute for Nano Bio Technology  (INBT), Hopkins Extreme Materials Institute (HEMI), Institute for Assured Autonomy (IAA), Center for Environmental & Applied Fluid Mechanics (CEAFM), Mathematical Institute for Data Science (MINDS), Ralph O’Connor Sustainable Energy Institute (ROSEI), Malone Center for Engineering in Healthcare, Johns Hopkins Institute for Planetary Health (JHIPH), and Space@Hopkins.

• Ph.D. in Mechanical Engineering or a related field by the start date.

• A record of research excellence and a clear vision for an independent, collaborative program in DS/AI for Mechanical Engineering.

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