Open Research Positions

I have openings for the following research positions:

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

Status as of 08/27/14: The position has been filled. Thank you for your interest!

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 robotics. 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. The Fellow will investigate applications of this research to various problems in robotics (object recognition, control, or multi-robot 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, and our forthcoming 2014 ICML paper on lifelong policy gradient methods for robotic control.

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 and/or robotics, supported by a solid publication record in top-tier conferences (e.g., ICML, NIPS, IROS, ICRA, 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, computer vision/perception, or robotic control. Candidates should be familiar with Java, C/C++, and/or Matlab programming in Linux-based environments. The ideal candiate will also have experience in robotics and/or ROS.

To apply, e-mail a single PDF file containing (1) your cover letter, (2) curriculum vitae, (3) research statement, (4) list of representative publications with URLs, and (5) 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.