College of IST Wage-Payroll Graduate Assistant

Penn State; Pennsylvania; Hybrid; USD 25,000 - 28,000; Part time

Job summary

Penn State College of IST is hiring a part-time, wage payroll Graduate Assistant to contribute to an NSF-funded interdisciplinary project on self-supervised visual learning inspired by human perception. You will work with faculty PIs and students in a collaborative environment.

Responsibilities include developing ML/CV algorithms, testing research software, processing datasets, running experiments, reviewing literature, and assisting with manuscripts and reports.

Qualifications

• Current enrollment in a graduate program at Penn State (M.S. or Ph.D.).
• Background in artificial intelligence, computer vision, machine learning, or a closely related field.
• Strong programming skills in Python.
• Experience with PyTorch, TensorFlow, or similar deep learning frameworks is preferred.
• Familiarity with computer vision, deep learning, or statistical learning methods.
• Experience with scientific programming, data analysis, or software development in a Linux environment.
• Strong analytical, problem-solving, and communication skills.
• Ability to work both independently and collaboratively within an interdisciplinary research team.
• Excellent organizational skills and attention to detail.

Responsibilities

• developing and evaluating machine learning and computer vision algorithms
• implementing and testing research software
• preparing and processing image and video datasets
• conducting experiments and statistical analyses
• reviewing relevant scientific literature
• assisting with studies as needed
• documenting research findings
• supporting the preparation of manuscripts, presentations, and research reports

Skills

Python

PyTorch

TensorFlow

Linux

Education

Graduate student (M.S./Ph.D.)

Tools

Python

PyTorch

TensorFlow

Linux

Job description

Approval of remote and hybrid work is not guaranteed regardless of work location.

For additional information on remote work at Penn State, see Notice to Out of State Applicants.

JOB DESCRIPTION AND POSITION REQUIREMENTS

The College of IST is seeking applicants for part-time job a part-time, wage payroll Graduate Assistant. The Wage-Payroll Graduate Assistant will contribute to an NSF-funded interdisciplinary research project investigating self-supervised visual learning inspired by human perception.

The student will work closely with faculty PIs (Profs. Brad Wyble of Psychology and James Wang of IST) and other students in a collaborative, interdisciplinary environment.

Responsibilities may include developing and evaluating machine learning and computer vision algorithms; implementing and testing research software; preparing and processing image and video datasets; conducting experiments and statistical analyses; reviewing relevant scientific literature; assisting with studies as needed; documenting research findings; and supporting the preparation of manuscripts, presentations, and research reports.

• developing and evaluating machine learning and computer vision algorithms
• implementing and testing research software
• preparing and processing image and video datasets
• conducting experiments and statistical analyses
• reviewing relevant scientific literature
• assisting with studies as needed
• documenting research findings
• supporting the preparation of manuscripts, presentations, and research reports

Requirements, qualifications, and/or competencies

• Current enrollment in a graduate program at Penn State (M.S. or Ph.D.).
• Background in artificial intelligence, computer vision, machine learning, or a closely related field.
• Strong programming skills in Python.
• Experience with PyTorch, TensorFlow, or similar deep learning frameworks is preferred.
• Familiarity with computer vision, deep learning, or statistical learning methods.
• Experience with scientific programming, data analysis, or software development in a Linux environment.
• Strong analytical, problem-solving, and communication skills.
• Ability to work both independently and collaboratively within an interdisciplinary research team.
• Excellent organizational skills and attention to detail.
• Prior research experience in mechanical engineering, robotics, materials science, or related application domains is a plus, but not required.
• Prior research experience, publications, or open-source software contributions are desirable but not required.

Compensation: The starting rate for this job is $18-20 depending on qualifications.

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies.

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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We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive.

We value belonging as a core strength and an essential element of the university’s teaching, research, and service mission.

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