Thanks to a major $750M investment in science, engineering and medicine, the University of Pennsylvania recently launched the Center for Innovation in Data Engineering and Science (IDEAS). IDEAS’ mission is to harness the power of artificial intelligence, machine learning and data science to transform scientific discovery, design and engineering of trustworthy autonomous systems, and AI in neuroscience and health. As part of this initiative, IDEAS invites applications for multiple Postdoctoral Fellowships. 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.

The ideal candidate is expected to show an exceptional promise for, or a proven record of, cross-disciplinary and multi-disciplinary research achievement at the intersection of AI/ML/DS and one or more application domains in science, engineering, and medicine, 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 Center for Soft and Living Matter, the Center for Mechanobiology, and Penn Institute for Computational Science (PICS). Interaction and collaboration with postdoctoral fellows in the natural and social sciences at Penn’s Data Driven Discovery Initiative will be facilitated as well.

Qualifications and Application Instructions

Candidates must hold a Ph.D. in Engineering, Science, or related areas. Candidates should identify two mentors, one with expertise in AI/DS/ML and the other with expertise in an application domain in science, engineering, or medicine. Interested persons should submit an online application and include a curriculum vitae, research, teaching, and diversity statements, and at least three confidential letters of recommendation. In addition, the candidate should indicate their preferred mentors.

Review of applications will begin on January 15, 2024.

Equal Employment Opportunity Statement

The University of Pennsylvania values diversity and seeks talented students, faculty and staff with diverse backgrounds, experiences, and perspectives. The University of Pennsylvania is an equal opportunity and affirmative action employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status or any other legally protected class. Questions or concerns about this should be directed to the Executive Director of the Office of Affirmative Action and Equal Opportunity Programs, University of Pennsylvania, 421 Franklin Building, 3451 Walnut Street, Philadelphia, PA 19104-6205; or (215) 898-6993 (Voice) or (215) 898-7803 (TDD).