[robotics-worldwide] [jobs] Postdoc in Multi-Task and Lifelong Learning at the University of Pennsylvania

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[robotics-worldwide] [jobs] Postdoc in Multi-Task and Lifelong Learning at the University of Pennsylvania

Eric Eaton
POSTDOC IN MULTI-TASK AND LIFELONG MACHINE LEARNING
UNIVERSITY OF PENNSYLVANIA

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. The Fellow will conduct research on multi-task and lifelong learning, focusing on the development of methods for continually learning and refining knowledge over consecutive learning tasks and continuous experience in problem domains (including robotics, multi-agent control/coordination, and medicine).  Additionally, the Fellow will have opportunities for mentoring students and assisting in the grant proposal process.

The position is available immediately and will be renewable for up to 3 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, 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., NIPS, ICML, etc.). Candidates will also benefit from having a strong mathematical background and research in one or more of the following areas: relational learning, transfer learning, multi-task learning, deep learning, Bayesian methods, probabilistic modeling, computer vision/perception, or robotics. 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 (https://urldefense.proofpoint.com/v2/url?u=http-3A__www.seas.upenn.edu_-7Eeeaton_&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=6iMbtQ0I-5KA3nhMJ8Hi-nFxoj2yudLezk66LwmZI_s&s=cpM7TNw60WJV4CkiAjFL7Mk-XpWzCVtzDDsGzl_nUic&e= <https://urldefense.proofpoint.com/v2/url?u=http-3A__www.seas.upenn.edu_-7Eeeaton_&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=6iMbtQ0I-5KA3nhMJ8Hi-nFxoj2yudLezk66LwmZI_s&s=cpM7TNw60WJV4CkiAjFL7Mk-XpWzCVtzDDsGzl_nUic&e=>) with a subject line of "Postdoc application: YOUR NAME“.  Please have 2 letters of recommendation sent directly to Dr. Eaton via e-mail with the subject line “Postdoc reference: YOUR NAME”.

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 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.

For further information, see: https://urldefense.proofpoint.com/v2/url?u=http-3A__www.seas.upenn.edu_-7Eeeaton_openpositions.html&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=6iMbtQ0I-5KA3nhMJ8Hi-nFxoj2yudLezk66LwmZI_s&s=eKonSb_f7_BCbhu0JhJuSIj_nXl_d-fEW4zHqg9mts0&e= <https://urldefense.proofpoint.com/v2/url?u=http-3A__www.seas.upenn.edu_-7Eeeaton_openpositions.html&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=6iMbtQ0I-5KA3nhMJ8Hi-nFxoj2yudLezk66LwmZI_s&s=eKonSb_f7_BCbhu0JhJuSIj_nXl_d-fEW4zHqg9mts0&e=>
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