Open Research Positions

I have openings for the following research positions:

Postdoctoral Research Assistant in Lifelong Machine Learning
The University of Pennsylvania, Department of Computer and Information Science

Status as of October 2, 2013: Thank you for your interest, but the postdoc position has been filled and is no longer available.

Applications will be reviewed as they arrive, starting immediately, and will be accepted until the position is filled. For full consideration, we recommend that you apply early.

The University of Pennsylvania's Department of Computer and Information Science and the General Robotics, Automation, Sensing and Perception (GRASP) Laboratory invites applications for a full-time Postdoctoral Fellow in machine learning and artificial intelligence. The Fellow will conduct research on lifelong machine learning and knowledge transfer, focusing on the development of methods for continually learning and refining knowledge over consecutive learning tasks and continuous experience in problem domains (including object recognition and agent control/coordination). Additionally, the Fellow will have opportunities for mentoring students and assisting in the grant proposal process.  For further information on the lifelong machine learning project and our recent progress, please see our 2013 ICML and AAAI papers.

The position is available immediately and will be renewable for up to 2 years. A Ph.D. in computer science (or a related field) is required. The position will report to Dr. Eric Eaton. The compensation package includes a competitive salary, health benefits, career mentoring, and conference travel support.

Candidates should have a strong background in machine learning, supported by a solid publication record in top-tier machine learning conferences (e.g., ICML, NIPS, etc.). Candidates will also benefit from having a strong mathematical background and research in at least one of the following areas: transfer learning, multi-task learning, probabilistic modeling, sparse feature analysis, or computer vision/perception. Candidates should be familiar with Java, C/C++, and Matlab programming in Linux-based environments.

To apply, e-mail a single PDF file containing your cover letter, curriculum vitae, research statement, list of representative publications with URLs, and list of references directly to Dr. Eric Eaton ( ) with a subject line of "Postdoc Application". Please have 2-3 letters of recommendation sent directly to Dr. Eaton at .

The University of Pennsylvania is an Ivy League University located near the center of Philadelphia, the 5th largest city in the US. The University campus and the Philadelphia area support a rich diversity of scientific, educational, and cultural opportunities; major technology-driven industries such as pharmaceuticals, finance, and aerospace; as well as attractive urban and suburban residential neighborhoods. Princeton and New York City are within commuting distance.

The University of Pennsylvania is an Equal Opportunity/Affirmative Action Employer. Minority candidates and women are especially encouraged to apply. Hiring is contingent upon eligibility to work in the United States. Questions can be directed to Dr. Eric Eaton.