Assistant Professor Data Science for Agricultural and Ecosystem Sustainability | University of Minnesota Twin Cities

The University of Minnesota Twin Cities is seeking a tenure-track Assistant Professor in Data Science for Agricultural and Ecosystem Sustainability. This role focuses on developing data-driven solutions to enhance agricultural efficiency and environmental sustainability through agro-eco-bioinformatics. Responsibilities include research, teaching, and collaboration with public and private sectors. The position aims to establish a recognized research program and secure funding, contributing to sustainable agricultural practices.
There is an important need to develop data-driven solutions for addressing complex problems facing agriculture and the environment for a sustainable future. With its central motivation to improve agricultural efficiency and contribute to this need, Minnesotaâ™s AGREETT (Agricultural Research Education, Extension and Technology Transfer) initiative is making significant investments in agricultural research, education, and Extension to work in key areas of agricultural production taking advantage of the technological changes that are transforming agriculture and complementing the Universityâ™s MnDRIVE (MN Driven Innovation Economy) initiative investments.

The Department of Bioproducts and Biosystems Engineering(BBE), College of Food, Agricultural and Natural Resource Sciences (CFANS) at the University of Minnesota seeks candidates for a 9-month tenure-track assistant professor position in the broader area of agro-eco-bioinformatics and sustainability with research and teaching (50%/50%) responsibilities.

The goal of the agro-eco-bioinformatics and sustainability position is to improve efficiency in agricultural and ecological systems by developing new ways to collect, interpret, and analyze agricultural and environmental data at various scales, to integrate bioinformatics, computational modeling and machine learning, and help create sustainable solutions to improve decision making. Areas of research may include quantifying the interactions between agricultural and ecological systems and the biotic, abiotic and/or physical factors affecting agricultural efficiency and environmental sustainability. The faculty member will be expected to advance the design and implementation of highly efficient sustainable agricultural systems and sustainable environmental management solutions. The scope may cover a broad spectrum of disciplines in agro-eco-bioinformatics, from data collection, analysis, and integration with computational modeling, systems thinking, analysis and management, database development to dissemination technologies/platforms.

The University of Minnesotaâ™s robust research, teaching, and Extension programs have a long history of developing and delivering cutting edge research and education to farmers and other stakeholders. The person in this faculty position will address a critical need in the broad area of agro-eco-bioinformatics. Responsibilities include working with both the public and private sectors to develop new technologies and guidelines for improving agricultural systems efficiency and environmental sustainability. This faculty member will help Minnesota maintain its strong leadership position in bioinformatics and sustainable agriculture.

The person in this position is expected to develop a nationally and internationally recognized research program, seek and secure extramural research funding from state and national competitive grant programs, and develop an independent research program of basic and applied research. The person is expected to build collaborations across disciplines, and closely interact with other departments within CFANS and CSE and across the University including the Precision Agriculture Center, AI-CLIMATE, and the University of Minnesota Data Science Institute (DSI). The University of Minnesota offers opportunities to work with engineers, agricultural scientists, and other faculty on campus and a network of Research and Outreach Centers across the state.

Teaching responsibilities for this position are envisioned to include undergraduate and graduate level courses offered by the department and related to the successful candidateâ™s discipline and background, including computer applications, and potential electives on topics of big data analytics, circular economy, machine learning in agriculture, agro-bioinformatics, eco-bioinformatics, and Sustainable Systems Management (SSM) program courses. The Sustainable Systems Management program aims to advance societyâ™s goals of sustainability in our global economy and the environment ( SSM curriculum includes courses such as Systems Thinking, Environmental Life Cycle Analysis, Environmental Management Systems and Strategy etc. Other faculty responsibilities include advising graduate students and service commitments to the department, college, University, and the profession.

Required:
• PhD (completed or expected by the end of May, 2025) in data science, bioinformatics, machine learning, artificial intelligence, computer science, or a related agricultural, environmental, or sustainability field
• Basic and relevant applied research experience in biological and ecological systems that are important in Minnesota
• Demonstrated record of publication within discipline

Preferred:
• A strong peer reviewed publication record and experience in bioinformatics, data science with modeling or machine learning applications
• Evidence of ability to work collaboratively on multidisciplinary projects
• Evidence of potential to develop and manage independent interdisciplinary research programs at the forefront of the discipline
Evidence of effective teaching with diverse audiences
• excellent written and oral communication skills
• Demonstrated experience in obtaining external funding
• Interest in, experience with, and commitment to diversity and inclusiveness

About University of Minnesota Twin Cities

The University of Minnesota, founded in the belief that all people are enriched by understanding, is dedicated to the advancement of learning and the search for truth; to the sharing of this knowledge through education for a diverse community; and to the application of this knowledge to benefit the people of the state, the nation, and the world.
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