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to apply. Experience or interest in signal/image processing, object tracking, autonomous control, software development, artificial intelligence, and/or machine learning (deep learning/reinforcement learning
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REQUIREMENTS The Department of Computer Science and Engineering is seeking part-time Research Assistant/Programmer to assist with robotics and machine learning research as well as data collection and data
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upgraded software algorithms into multiple DoD and IC systems. Technologies include near-real-time software and systems, signal processing, machine learning, and related applications. This position works
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interpersonal and communication skills; Strong computer skills, specifically Excel, Microsoft 365, Teams, Zoom, and willingness to learn Penn State specific systems CRM (AWA) and endowment management systems
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that meet student learning, workplace and placement expectations. Creates an educational environment which fosters innovation, responsiveness, and accountability. This position is a full-time, in-person
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master’s degree in information systems, information technology, or a closely related field is required. Prior college-level teaching experience. Familiarity with AI concepts, including machine learning
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learning objectives, develop and lead educational events to support these learning objectives. The individual will be expected to develop original content to engage audiences through innovative educational
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, crisis management, and technical support Desire to learn, upgrade skills, and computer-related knowledge Previous success with collaborations in a multi-disciplinary, team-oriented culture The ability
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multidisciplinary topics from signal processing to machine learning to software design with a focus on sonar systems. The goal of our group is to leverage all of the available acoustic physics to generate data
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), and in vivo fiber photometry (TDT). We are particularly looking for a PhD-level systems neuroscientist with expertise in animal behavior tracking using deep learning algorithms and their causal link