45 structural-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dip" research jobs at Pennsylvania State University
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. Duties include (but are not limited to): Perform small animal cardiac structure and functional analysis. This includes independently performing small animal echocardiography, real-time measurements
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REQUIREMENTS The College of Engineering, Electrical Engineering Department is seeking applicants for part-time job of part-time research support. Job duties to include: conducting research on Wind generation of
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, chemical processing, and laboratory support in materials research. Preferred Qualifications: PhD degree in mineral processing, hydrometallurgical engineering, chemical engineering, material engineering, or
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REQUIREMENTS We are looking for a graduate student with background in petroleum and natural gas engineering to work on development of advanced AI based models for drilling optimization and wellbore stability
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biomimetic structures. Schedule: Expected hours will be approximately 5 hours/week. Compensation: The starting rate for this job is $16/hour. The selected candidate will report to Dr. Randall McEntaffer
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. This position is ideal for students interested in materials science, mineral processing, chemical engineering, mechanical engineering, or related fields who want to gain hands‑on research experience in a
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interdisciplinary research focused on: (1) Elucidating the molecular mechanisms by which distinct phagophore membrane structures regulate protein function during autophagy (Ye et al., Nature Communications, 2021
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REQUIREMENTS The College of Engineering is seeking applicants for part-time job of Liberatory Tech Undergraduate Research Assistant. Job duties to include: Working with Dr. Dancy, THiCC Lab and CBDR members on a
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. Undergraduate students in engineering or science disciplines are encouraged to apply. Prior hands-on or research experience is preferred. Preference will be given to candidates who can continue working
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of EECS at Penn State, focuses on developing a personalized recommendation engine for microlearning content. The RA will play a key role in leveraging student performance data to deliver tailored learning