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

Job in Baltimore, Anne Arundel County, Maryland, 21276, USA
Listing for: Johns Hopkins University
Full Time position
Listed on 2026-05-31
Job specializations:
  • Engineering
    Mechanical Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 200000 - 450000 USD Yearly USD 200000.00 450000.00 YEAR
Job Description & How to Apply Below
Position: Tenure-track faculty position at all levels in Data Science and Artificial Intelligence for Mechani

General Description

Salary: $170,000 - $200,000 Assistant Professor; $180,000 - $245,000 Associate Professor; and $200,000 - $450,000 Full Professor. All 12 month equivalent.

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.

Research

Focus

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, 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
Qualifications
  • PhD 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.
  • Commitment to high‑quality teaching, mentoring, and inclusive excellence.
Salary Range

The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University.

Total

Rewards

Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found at (Use the "Apply for this Job" box below)..

Equal Opportunity Employer

The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristic. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved.

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