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Research and Development Engineer InternThe Pennsylvania State University • University Park, Texas, United States
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Research and Development Engineer Intern

The Pennsylvania State University
  • US
    University Park, Texas, United States
  • US
    University Park, Texas, United States
Jetzt Bewerben

Über

APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday. CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday. If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.
Approval of remote and hybrid work is not guaranteed regardless of work location.For additional information on remote work at Penn State, seeNotice to Out of State Applicants.
JOB DESCRIPTION AND POSITION REQUIREMENTS The Cyber Intelligence, Analytics, and Operations Department of the Applied Research Laboratory (ARL) is seeking interns to assist ARL engineers in the areas of data analysis, machine learning, and signal processing. Interns will have the opportunity to develop cutting-edge AI/ML techniques to solve problems in signal processing and anomaly detection. ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply. Typical duties may include:
Design and implement custom algorithmic solutions, specializing in machine learning and artificial intelligence, to meet varied sponsor objectives. Support machine learning model development using tools and libraries such as PyTorch, Scikit-learn, Pandas, and similar technologies. Support for data analysis and data display
Students studying Math, Physics, Electrical Engineering, Computer Science, Data Science, or related fields are encouraged to apply. Preferred Skills:
Experience in AI/ML Knowledge of Python, MATLAB, or similar language Knowledge of signal processing a plus Ability to take data in an organized fashion and write a report about their results
The successful candidate will work up to 20 hours/week during the fall and spring semesters and 40 hours/week over the summer. These positions will be onsite in Reston, VA or State College, PA. ARL's purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Department of Defense (DoD), and the Intel Community (IC). FOR FURTHER INFORMATION on ARL, visit our web site at www.arl.psu.edu. BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful completion of background check(s) in accordance with University policies. All positions at ARL require candidates topossess the ability to obtain a government security clearance; you will be notified during the interview process if this position is subject to a government background investigation. You must be a U.S. citizen to apply. Employment with the ARL will require successful completion of a pre-employment drug screen. CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here. EEO IS THE LAW Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
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  • University Park, Texas, United States

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  • English
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