The Department of Civil and Systems Engineering (CaSE) at Johns Hopkins University (JHU) is seeking to advance foundational AI methods, including machine learning and data science, and apply them to civil and systems engineering domains to solve complex societal challenges.
Requirements
- earned doctorate in an appropriate field by the time of their appointment
- record of research excellence and a clear vision for a research program in data science and AI for civil and systems engineering
- commitment to high-quality teaching, mentoring, and inclusive excellence
Responsibilities
- advancing foundational AI methods, including machine learning and data science approaches
- demonstrated connections between their AI research and civil and systems engineering domains
- data-driven discovery, design, modeling, simulation, decision-making, and/or policy development for sustainable, resilient, and autonomous systems and technologies in CaSE-relevant applications
- computational modeling
- optimization
- uncertainty quantification in physics-based and data-based simulation
- bring engineering solutions to society's greatest challenges
Other
- Cover letter describing the candidate's primary research expertise and envisioned integration with DSAI
- research statement
- teaching statement
- names and contact information for three references
- The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students.
