Part-Time Grad

The Pennsylvania State University; Ferguson Township (PA); On-site; USD 28,000 - 41,000; Full time

Job summary

The Pennsylvania State University, through the Guidance and Control Technologies Division of ARL, invites graduate students for paid internship opportunities in State College, PA. The role focuses on researching, developing, and testing autonomous undersea system capabilities, with duties spanning MATLAB/C++/Python and AI/ML areas.

Interns will work up to 20 hours/week during fall/spring and 40 hours/week in summer; relocation not provided, U.S.

Qualifications

• Graduate student in relevant engineering/science field
• Experience or interest in signal/image processing, object tracking, autonomous control, AI/ML
• Experience with MATLAB, C/C++, and/or Python preferred

Responsibilities

• Research, develop, analyze, implement, and test new capabilities for autonomous undersea systems
• Participate in fall/spring up to 20 hours/week and summer up to 40 hours/week
• Subject to government security investigation; U.S. citizen required

Skills

Signal processing

Object tracking

Autonomous control

Software development

Artificial intelligence

Machine learning (deep learning/rein.

Education

Pursuing graduate degree in Electrical/Mechanical/CS/CE/Applied Math/Data Science/Physics

Tools

MATLAB

C/C++

Python

Job description

JOB DESCRIPTION AND POSITION REQUIREMENTS

The Guidance and Control Technologies Division of the Applied Research Laboratory (ARL) at Penn State University is seeking graduate students for internship opportunities. ARL/Penn State’s purpose is to develop innovative solutions to challenging national problems in support of the Navy, DoD, and Intel communities engineering and technology needs. ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply. Typical duties include researching, developing, analyzing, implementing, and testing new capabilities for current and future autonomous undersea systems. Students studying Electrical Engineering, Mechanical Engineering, Computer Science, Computer Engineering, Aerospace Engineering, Applied Mathematics, Data Science, or Physics are encouraged 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) is desired. Experience with MATLAB, C/C++, and/or Python is preferred. The successful candidate will work up to 20 hours/week during the fall and spring semesters and 40 hours/week over the summer. This is a paid internship located at ARL's Science Park Building in State College, PA; relocation and housing are not provided. Candidate selected may be subject to a government security investigation. You must be a U.S. citizen to apply. Employment with the Applied Research Laboratory will require successful completion of a pre- employment drug screen.

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 to possess 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.

ABOUT PENN STATE

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