
1855 Assistant/Associate/Full Professor-Tenure System
Michigan State University(MSU)
East Lansing, MIFull-timeSeen todaySeen in employer's feed today
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Job overview
Michigan State University’s Colleges of Engineering and Agriculture and Natural Resources invite applications for a tenure-system faculty position in hydrologic systems engineering and data science. The successful candidate will establish an externally funded research program, contribute scholarship, teach and mentor students, conduct community-engaged research, and provide service. Candidates must hold a PhD in Engineering or a closely related discipline by appointment; applications are welcome at Assistant Professor rank, with outstanding Associate or Full Professor candidates also encouraged.
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Position Summary The Colleges of Engineering and Agriculture and Natural Resources at Michigan State University (MSU) invite applications for a tenure-system faculty position in hydrologic systems engineering and data science. Securing water has become a defining challenge of the century, and Michigan is where that challenge is most sharply concentrated. The state holds the world's largest freshwater system, anchors a diverse agricultural economy dependent on water, and is now attracting a wave of water-intensive industry --- data centers, EV battery production, and advanced manufacturing --- that is creating unprecedented and unevenly distributed demand. Floods, droughts, and weather extremes across the Great Lakes region are growing more frequent and severe, straining aging infrastructure and agricultural systems. MSU is uniquely positioned at this precise intersection of freshwater abundance, agricultural mission, and industrial water demand --- and meeting these challenges is fundamentally an engineering problem. We welcome candidates whose research and teaching address these critical societal challenges, particularly in areas such as flood and drought forecasting, controllable urban water systems, resilient infrastructure, and data-driven management of rivers, lakes, and groundwater. This includes the coupling of process-based hydrologic and hydrodynamic modeling with AI, machine learning, remote sensing, high-performance computing, and real-time data infrastructure. Distinct opportunities also exist in physics-informed AI, digital twins of watersheds and water infrastructure, and smart-sensored water systems grounded in a real freshwater-agriculture-industry setting. We welcome applications at the rank of Assistant Professor, though outstanding candidates at Associate or Full Professor level are also encouraged to apply. Candidates must have earned a PhD in Engineering or a closely related discipline at the time of appointment, with an anticipated start date of August 16, 2027. Appointments will be made in the Departments of Biosystems and Agricultural Engineering and Civil and Environmental Engineering, based on existing strengths and capabilities and the candidate's preferences. This will be a full-time, academic-year appointment in the tenure system, with tenure, if appropriate, at a salary commensurate with the candidate's background and experience. Those who conduct research that broadens access to education and innovation, addresses barriers to participation, or enhances the university's ability to serve communities are of high interest. The candidate is expected to establish a sustainable, externally funded, and internationally visible research program; make significant scholarly contributions to their discipline; conduct community-engaged research; be an effective teacher and mentor of undergraduate and graduate students; engage in institutional and professional service; and contribute to the university's land-grant mission of access, service, and advancing knowledge for the common good. Candidates are encouraged to describe the potential impacts of their scholarship and how their work might complement existing strengths within the College and across the university. Additional qualifications include strong leadership and interpersonal skills, excellent written and oral communication abilities, a demonstrated capacity to thrive in a collaborative research environment, and a commitment to advancing MSU's land-grant mission of expanding access, opportunity, and excellence. Successful candidates are expected to collaborate with and build on existing MSU activities focused on hydrologic systems engineering and data science, advancing collaborations
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