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Pennsylvania State University Postdoctoral Scholar | Applied Machine Learning in University Park, Pennsylvania

APPLICATION INSTRUCTIONS:

  • 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) .

JOB DESCRIPTION AND POSITION REQUIREMENTS:

The Pennsylvania State University is seeking an outstanding postdoctoral scholar to join the Intelligent Information Systems Laboratory (http://iis.ist.psu.edu/) at the College of Information Sciences and Technology University Park campus. The position is available immediately or starting in Spring 2025. The postdoc will be mentored for a successful transition to a faculty or scientist position in academia or a leading research laboratory as many of our previous postdoctoral scholars. You will be involved in leading and assisting in proposal preparation, research execution, and mentoring students on a project involving the use of artificial intelligence (AI) in wildlife conservation. In addition to the wildlife conservation project, the postdoctoral scholar and the faculty mentors may identify and scope other areas of research to pursue.

Required skills include a strong record of technical excellence and achievement as demonstrated through publications, presentations at national and international meetings, and research in relevant discipline in artificial intelligence such as machine learning, natural language processing, deep learning, large language models, pattern recognition, computer vision, etc. The applicant must possess a strong prior experience in software development and the ability to design and perform experiments to validate research hypotheses. The applicant must have demonstrated strong written communication skills. The candidate must be self-directed and have the ability and willingness to mentor Ph.D. students working in the project. Prior experience in working in an interdisciplinary, team-oriented technical atmosphere is desirable.

The position fully focuses on research with no expectation of teaching. However, should the scholar want to teach, arrangements can be made to build teaching experience. The objective of this position is to enhance the researcher’s skills and record for a placement in a leading university or research laboratory at the end of the post-doctoral position.

Education: Ph.D. in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related area is required by start date.

Penn State is a premier Research I university in the northeastern United States situated in a university town, State College, that is within three to four hours by car from New York, Washington, D.C., Philadelphia, Cleveland, Pittsburgh, Baltimore, etc. Situated in a valley surrounded by mountains, State College has a low cost of living and small university town charm.

More information about the future plans for the project will be provided to interested candidates. Please submit an application consisting of a CV and names of three references. For any questions related to the position please contact Professors Johnson Kinyua (jdk450@psu.edu (giles@ist.psu.edu) ), Bing Pan (bingpan@psu.edu) and Prasenjit Mitra (pmitra@psu.edu). Applications will be considered starting immediately and will be accepted on a continuing basis until the position is filled.

This is a term appointment for one year from the start date with the possibility of renewal depending on performance and funding.

The College of Information Sciences and Technology is strongly committed to a diverse community and to providing a welcoming and inclusive environment for faculty, staff and students of all races, genders, and backgrounds. The college is committed to making good faith efforts to recruit, hire, retain, and promote qualified individuals from underrepresented minority groups including women, persons of color, diverse gender identities, individuals with disabilities, and veterans.

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 (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.

Federal Contractors Labor Law Poster (https://affirmativeaction.psu.edu/files/2022/01/Federal-Contractors-Labor-Law-Poster.pdf)

PA State Labor Law Poster

Affirmative Action (https://policy.psu.edu/policies/hr11)

Penn State Policies

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