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. AI Foundations: advancing core AI/ML/DS methodology, including but not limited to generative AI, multimodal AI (e.g., vision language 3D), and the mathematical foundations of AI/ML/DS.
2. AI in Science: data-driven approaches that can transform scientific discovery and modeling of new phenomena across engineering and science, including but not limited to integration of physical and data-driven models, inverse problems in imaging science, novel AI methods for discovering new materials, learning the structure of proteins or modeling global climate, new paradigms for bridging the gap between human and machine learning.
3. AI in Health: data-driven approaches for analyzing complex multimodal biological and biomedical data, including but not limited to novel methods for learning from biological images, medical images, radiological and pathological reports, electronic health records, multiomic data.
4. Trustworthy AI: 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, the Internet of Things for Precision Agriculture (IoT4Ag) Center 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.
Candidates must hold a Ph.D. in Engineering, Science, or related areas. Primary appointments will be in the academic department most appropriate for the candidate within the School of Engineering and Applied Science. Joint appointments with other departments in other schools will also be considered.
Interested persons should submit an application online via Interfolio and include curriculum vitae, research, teaching, and diversity statements, and at least three confidential letters of recommendation. In addition, the candidate should indicate their desired department within the School of Engineering and Applied Sciences, as well as the area of interest to which they are applying.
Applications should be submitted at: http://apply.interfolio.com/157812
Review of applications will begin on December 1, 2024.
For technical assistance with your application, contact Interfolio Scholar Services by email at help@interfolio.com or by phone at (877) 997-8807 from 9:00 - 6:00 EST on Monday - Friday.
For non-technical assistance regarding this posting please contact soniacr@seas.upenn.edu
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).