Experience Inc. Jobs

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• CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process (https://pennstateoffice365.sharepoint.com/:b:/s/KnowledgeBaseArticlesSharing/EfiwgKReZ4VAjprFZPKWUm0Bq_sU3KzTmERfpryq0esPKQ) . 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. (https://pennstateoffice365.sharepoint.com/:b:/s/KnowledgeBaseArticlesSharing/Eeys15Xva4hFokHVtbP1eGIB5i1WFLc-J3k9KHgrFYZ7mg) 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 (https://hr.psu.edu/sites/hr/files/Application_Process_for_External_Applications_Non-Penn_State_Employees_.pdf) .

  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 (https://hr.psu.edu/current-employee/flexible-work-arrangements/out-of-state-notice?utm_source=workday&utm_medium=req&utm_campaign=Oct23&utm_id=out-of-state) .

JOB DESCRIPTION AND POSITION REQUIREMENTS:

The College of Information Sciences and Technology (IST) is seeking applications for an Undergraduate Research Assistant position under the advice of Prof. Johnson Kinyua and Prof. Prasenjit Mitra.Research Interests: Artificial intelligence, applied machine learning, natural language processing, text mining, image processing, computer vision, sensor data processing, information retrieval and their applications in wildlife conservation, security of federated learning systems, etc.Project involves applying machine learning, game theory, big data analytics, natural language processing, image processing, computer vision, sensor data processing to wildlife conservation.

Students with a strong academic record, but no immediate experience in these fields will be considered. An excellent academic record may make up for absence of experience in machine learning but the willingness to work hard and learn, and desire to achieve excellence is required.

Interested students should submit their resume and a cover letter briefly outlining your skills related to data sciences and other abilities. Questions regarding the positions can be sent to to pmitra@psu.edu and jdk450@psu.edu .

Selected students will be interviewed via Zoom. Paid position will start in May 2024. Applications will be processed as soon as received and considered until the positions are filled.

The Pennsylvania State University is committed to and accountable for advancing diversity, equity, inclusion, and sustainability in all of its forms. We embrace individual uniqueness, foster a culture of inclusion that supports both broad and specific diversity initiatives, leverage the educational and institutional benefits of diversity in society and nature, and engage all individuals to help them thrive. We value inclusion as a core strength and an essential element of our public service mission.

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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 (https://police.psu.edu/annual-security-reports) .

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

EEO IS THE LAW

Penn State is an equal opportunity, affirmative action 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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