- Assistant/Associate Professor of Data Science for Animal Systems
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The Department of Animal Science and Institute for Computational and Data Sciences (ICDS) at The Pennsylvania State University, University Park, invite applications for a 9-month tenure-line faculty position in Data Science for Animal Systems. This is an 80% research and 20% teaching appointment at the Assistant or Associate Professor level.
We seek an outstanding scientist with expertise in the application of artificial intelligence (AI) and machine learning (ML) to large and multimodal data sets generated in animal production systems and/or experiments investigating animal physiology and disease. The successful candidate will conduct ground-breaking interdisciplinary research to develop precise, data-driven strategies for efficient and humane animal management using large datasets generated from technological innovations adopted by the dairy, poultry, swine, or other animal production industries. As an ICDS co-hire, the successful candidate will engage in computation and data-intensive research including development and/or application of innovative computational methods. This research will advance areas such as animal behavior monitoring to optimize welfare, environmental sustainability of animal production, application of bioinformatic and genomic tools to animal selection, or enhanced farm profitability through increased production efficiencies. The successful candidate will advise graduate students and teach an Animal Science course emphasizing the application of data sciences, artificial intelligence, and machine learning to animal production systems and biology. They will also be expected to engage in appropriate service and professional activities within and outside the Department and in their professional discipline.
Education and Experience: Applicants must have a Ph.D. in Animal Science, Bioinformatics, Statistics, Data Science, or a closely related field and a strong record of academic outputs. The successful candidate must have completed all degree requirements by the appointment date. Applicants at the Assistant Professor level must have strong potential to obtain external research funding and teach courses that emphasize the application of artificial intelligence and machine learning in real-world settings. Applicants at the Associate Professor level must have demonstrated ability to obtain external funding and a history of excellence in teaching in these areas. The faculty member will be expected to develop and maintain an active interdisciplinary research portfolio, work collaboratively on research proposals and projects, and leverage existing strengths at the University e.g., Information Sciences and Technology, Statistics, Engineering, the Institute for Energy and the Environment, and the Microbiome Center.
The Department of Animal Science at Penn State (https://animalscience.psu.edu/) includes 32 faculty members and is home to internationally recognized programs in animal reproduction, nutrition, physiology, and genetics. Facilities for dairy, beef, sheep, swine, poultry, horse, and deer research, as well as a USDA-inspected meat laboratory, are all located on campus. Facilities include the new Animal, Veterinary and Biomedical Sciences Building, a 105,000 sq. ft., $98.5M facility containing seminar and classrooms, offices, and state-of-the-art, open-concept laboratory space designed to facilitate collaborative research.
The Institute for Computational and Data Sciences (ICDS), one of five university-wide interdisciplinary institutes, is home for advanced interdisciplinary computation and data-enabled collaborative science at Penn State. ICDS fosters both high-impact computational and data science methodologies as well as their applications to address a broad range of scientific and societal challenges, multifaceted models, and their societal impacts. ICDS supports a vibrant community of scholars, which includes more than 30 co-hired faculty and over 300 affiliated researchers with access to ICDS advanced research computing infrastructure called Roar and a cadre of technical experts, research scientists, and engineers. Further information on the institute and its co-hires can be found at https://icds.psu.edu.
Salary for this position is competitive and commensurate with experience. An attractive benefits package is available. Employment will require successful completion of background check(s) in accordance with the University policies.
Application Requirements: Candidates should submit a curriculum vitae, a cover letter describing their current research and how their future plans will synergize with the department, a statement of teaching philosophy, and names and contact information for at least three references. Applicants should provide evidence, either woven through their application materials or as a separate diversity statement, of a commitment to fostering diversity, equity, and engagement which creates an inclusive environment. Review of applicants will begin on May 18, 2023 and continue until the position is filled. For questions about this position, please contact Dr. Chad Dechow, firstname.lastname@example.org, or Dr. Kevin Harvatine, email@example.com.
The Pennsylvania State University is committed to and accountable for advancing diversity, equity, and inclusion in all of its forms. We embrace individual uniqueness, foster a culture of inclusive excellence that supports both broad and specific diversity initiatives, leverage the educational and institutional benefits of diversity, and engage all individuals to help them thrive. We value inclusive excellence as a core strength and an essential element of our public service mission.
Interested candidates, please apply directly online at: https://psu.wd1.myworkdayjobs.com/PSU_Academic/job/Penn-State-University-Park/Assistant-Associate-Professor-of-Data-Science-for-Animal-Systems_REQ_0000042091-1
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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.
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