NEW PROGRAM — Artificial Intelligence, BSE has opened at Penn Engineering.

Penn AI Fellowship

The Penn AI Fellows is a program for postdocs and advanced graduate students at the University of Pennsylvania, whose research is focused on topics in or related to Data Science and Artificial Intelligence. The fellowship recruits rising talent with expertise in AI whose primary role is to bridge disciplines and foster new collaborations.

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About

The Penn AI Fellowship supports postdocs and graduate students across disciplines whose research engages with Artificial Intelligence (AI) and Data Science. Fellows receive faculty mentoring, dedicated funds for research and travel, and access to a weekly postdoc lunch and seminar series that fosters learning, networking, and collaboration. While the program has historically focused on the natural sciences, engineering, and biomedical sciences, the program is intentionally seeking scholars from fields such as policy, education, business, law, ethics, and the humanities. This expansion reflects the need for interdisciplinary perspectives to guide the responsible and inclusive development of AI and Data Science By bringing together researchers from diverse backgrounds, the fellowship cultivates a dynamic community where fellows can learn from one another, explore new ideas, and build cross-disciplinary collaborations.

MEET THE FELLOWS

The program aims to:

Facilitate collaboration between postdocs and graduate students engaging with AI and Data Science research across schools. Postdocs will typically work with up to two mentors, with complementary expertise in AI and another domain. 

AI is transforming the frontiers of discovery—enabling new questions to be asked, new methods to be applied, and new connections to be made across disciplines. At the same time, scientific and humanistic inquiry can shape the development of more meaningful, ethical, and impactful AI. We will foster interactions with research centers, labs, and institutes at Penn through co-hosted events and mixers, creating opportunities for postdocs to engage across fields. A weekly postdoctlunch program will bring together fellows and faculty from across the University, cultivating peer learning, interdisciplinary dialogue, and collaborative research. 

Emphasize the design and engineering of fair, ethical, explainable, robust, and trustworthy autonomous systems through interdisciplinary research at the intersection of AI and application domains. Applying AI to research across disciplines offers powerful testing grounds for approaches to interpretability, reliability and safety. 

Provide postdoctoral fellows with a unique opportunity to engage with cutting-edge data, leveraging Penn’s research centers, laboratories, and institutes. 

Program Information

Eligibility

The following individuals are eligible for the program:

Current postdocs at the University of Pennsylvania who are engaged in research with foundations in AI or Data Science. Postdocs must have at least six months remaining in their current year appointment or confirmation from their faculty mentor they will be reappointed for an additional year. Postdocs that have accepted an offer at Penn with a future start date are also eligible to apply.

Current graduate students at the University of Pennsylvania entering the final year of their graduate program who are engaged in research with foundations to AI or Data Science. Priority will be given to graduate students in disciplines where postdoctoral fellowships are not traditionally or frequently available (e.g. GSE, SP2, Law, Design etc.) 

Appointments

Appointment as a Penn AI Fellow is typically for one year and is renewable.  

Details

Participation in the Penn AI Fellowship entails: 

  • The title of Penn AI Fellow
  • Inclusion on the Penn AI website as a participating fellow
  • Participation in a weekly seminar lunch
  • A research and travel fund of $8,000 to support research expenses and conference travel related to Penn AI Fellows’ research (this fund is supported 50/50 by Penn AI and the school/center/department) 

Application Procedure

The Penn AI Fellows program is open to all areas of study at Penn. Individuals interested in participation should have a significant aspect of AI or Data Science integrated into their current research projects.  

To apply to the program, individuals should submit: 

  1. A curriculum vitae, including publications, education, and teaching history (if applicable), awards, honors, public service, and current and pending funding, if any (max 2 pages)
  2. A brief description of the applicant's research accessible to non-experts, such as a data science postdoc in another field. (Max one single space page)
  3. 1-3 papers (published or working papers) representative of the applicant’s work at the intersection of AI and another discipline.

Appointments

Appointment as a Penn AI Fellow is typically for one year and is renewable.  

Program

Participation in the Penn AI Fellowship entails: 

  • The title of Penn AI Fellow
  • Inclusion on the Penn AI website as a participating fellow
    • See current site here: https://web.sas.upenn.edu/data-science/postdoctoral-fellows/  
  • Participation in a weekly seminar lunch
  • A research and travel fund of $8,000 to support research expenses and conference travel related to Penn AI Fellows’ research (this fund is supported 50/50 by Penn AI and the school/center/department) 

Application Procedure

The Penn AI Fellows program is open to all areas of study at Penn. Individuals interested in participation should have a significant aspect of AI or Data Science integrated into their current research projects.  

To apply to the program, individuals should submit: 

  1. A curriculum vitae, including publications, education, and teaching history (if applicable), awards, honors, public service, and current and pending funding, if any (max 2 pages)
  2. A brief description of the applicant's research accessible to non-experts, such as a data science postdoc in another field. (Max one single space page)
  3. 1-3 papers (published or working papers) representative of the applicant’s work at the intersection of AI and another discipline.