Postdoctoral Scholar: Applied Machine Learning (Johnson Kinyua)
 The Pennsylvania State University | |
remote work
| |
 United States, Pennsylvania, University Park | |
| 201 Old Main (Show on map) | |
 Sep 16, 2025 | |
APPLICATION INSTRUCTIONS:
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. This is a term position; length of the term will be discussed during the interview process. Continuation past the termlengthdiscussed willbebasedonuniversityneed,performance,and/oravailabilityoffunding.POSITION SPECIFICS The Pennsylvania State University is seeking an outstanding postdoctoral researcher to join the Intelligent Information Systems Laboratory (http://iis.ist.psu.edu/) at the College of Information Sciences and Technology. The position is available to start during the Fall 2025 semester. The postdoctoral scholar 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 fellows. You will be involved in leading and assisting in proposal preparation, research execution, and mentoring students on a project involving the use of AI in wildlife conservation and big data analytics in national parks. In addition to the wildlife conservation and data analytics projects, the postdoctoral fellow 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 data mining, machine learning, natural language processing, deep learning, large language models, pattern recognition, computer vision, etc. The applicant must possess strong prior experience in software development and the ability to design and perform experiments to validate research hypotheses. The applicant must demonstrate strong written communication skills. The candidate must be self-directed and have the ability and willingness to mentor Ph.D. or M.S. students working on the project. Prior experience 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 prior to start date. Penn State is a premier Research 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 future plans for the project will be provided to interested candidates by emailing Professors Johnson Kinyua (jdk450@psu.edu), Bing Pan (bingpan@psu.edu) and Prasenjit Mitra (prasenjm@andrew.cmu.edu). Please submit an application consisting of a CV and names of three references. Applications will be considered starting immediately and will be accepted on a continuing basis until the position is filled. This position is funded for one year from start date with the possibility of reappointment contingent on funding available and performance. BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful completion of background check(s) in accordance with University policies.BENEFITS Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being.For more detailed information, please visit our Benefits Page. 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. Federal Contractors Labor Law Poster PA State Labor Law Poster Penn State Policies Copyright Information Hotlines | |