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Old Dominion University’s Vision Lab is seeking candidates to work on approximation algorithms for control problems, pattern recognition and algorithmic design issues with special focus on applications in air traffic management (ATM). Candidates should have a strong background in machine learning, Candidates will also benefit from having a strong mathematical background and research in few of the following areas: controls, transfer learning, probabilistic modeling, sparse feature analysis, relational learning, and computer vision/perception. Candidates should be familiar with C++, Java and Matlab programming in both Windows and Linux-based environments.
Research focuses on pattern recognition and image processing algorithms, models and tools for large-scale planning, simulation and optimization, multi-agent decision making, and game-theoretic analysis. This position requires the candidate to demonstrate capabilities in real-time controls and prediction and adaptive decision analytic, using real-life data sets, specifically targeted towards the ATM sector. Familiarity with microcontrollers and electronics is also desirable.
Candidates with solid background in machine learning, data mining, supported by a solid publication record are encouraged to apply. Strong implementation skills are required. The goals of the project are flexible but will involve the development of new, efficient algorithms for concept mapping, and statistical inference and approximate dynamic programming for pattern mapping.
Some (academic or industrial) experience is preferred (but not required) in HPC and big data systems, probabilistic models, model reduction, and collaborative search and optimization techniques.
Strong communication and presentation skills is a must as the Post-Doctoral Fellow will have the opportunity to gain experience in grant and paper writing as well as multidisciplinary collaboration. A Ph.D. in Electrical and Computer Engineering or a closely related field is required.
The Fellow will also have opportunities for mentoring students. Additionally, depending on individual and departmental interests, he/she may have the opportunity to lecture on their subject matter expertise at ODU.
Send a cover letter indicating the research area of interest, curriculum vitae, one-page summary of Ph.D. dissertation research and the contact information of three references to Old Dominion University Research Foundation website http://researchfoundation.odu.edu/ then click on the employment tab to begin viewing career opportunities with the Research Foundation. Position #14042. AA/EOE/M/F/Disability/VET/Drug Free
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