The School of Engineering and Applied Science at the University of Pennsylvania is growing its faculty thanks to a major $750M investment in science, engineering and medicine. As part of this initiative, the Center for Innovation in Data Engineering and Science (IDEAS) is engaged in an aggressive hiring effort for multiple tenured or tenure-track faculty positions in Artificial Intelligence, Data Science and Machine Learning.

IDEAS is seeking candidates with an exceptional promise for, or a proven record of, cross-disciplinary and multi-disciplinary research achievement, who will take a position of international leadership in defining their field of study and who will excel in undergraduate and graduate education. Areas of interest include but are not limited to:

1.    Foundations of AI/ML/DS: understanding the mathematical foundations of AI/ML/DS to enable the development of the next generation of data-driven methods.

2.    Scientific AI/ML/DS: data-driven approaches that can transform scientific discovery and modeling of new phenomena across engineering and science.

3.    Bio-inspired AI/ML/DS: developing new paradigms for bridging the gap between human and machine learning, bio-inspired computing, and AI in health.

4.    Trustworthy AI/ML/DS: design and engineering of fair, ethical, explainable, robust, safe, and trustworthy autonomous systems.

Leadership in cross-disciplinary and multi-disciplinary collaborations is of particular interest, leveraging Penn’s strengths in cutting-edge scientific and clinical data. Opportunities for interactions across the University include the Warren Center for Networks and Data Science, the Center for AI-Enabled Systems (ASSET), the PRECISE Center for Safe AI, the GRASP Laboratory, the Center for AI and Data Science for Integrated Diagnostics (AI2D), Penn Institute for Biomedical Informatics (IBI), the Singh Center for Nanotechnology, the Materials Research Science & Engineering Center (MRSEC), the Center for Soft and Living Matter, the Center for Mechanobiology, and Penn Institute for Computational Science (PICS).

We are especially interested in candidates with a diversity of experiences and perspectives. Penn Engineering strongly supports dual career couples, and we welcome and encourage inquiries about dual career assistance (for academic and non-academic opportunities) at an early stage of the recruitment process.