Environmental Informatics and Computational Environment Science Faculty

Posting Details Posting Summary Job Title Environmental Informatics and Computational Environment Science Faculty Division Divison of Academic Affairs Department School of Computer, Mathematical & Natural Sciences Work Status Full Time Position Category Faculty Faculty Rank Assistant Professor FLSA Exempt Pay Range Exempt Salary Range $75,000 - $120,000/year (based on discipline)
Fund Source State Support Job Summary Morgan State University (MSU), Maryland's preeminent public urban research university located in Baltimore, offers more than 160 degree programs, including 31 doctoral programs. Over the past six years, the University's enrollment has grown by more than 50%, from approximately 7,600 to 12,400 students, while annual research grant output has increased from approximately $30 million to more than $100 million in .

The School of Computer, Mathematical, and Natural Sciences (SCMNS), in partnership with the Morgan State University Patuxent Environmental and Aquatic Research Laboratory (PEARL), invites applications for a 9.5-month, tenure-track Assistant Professor position in Informatics and Computational Environmental Science. The position will support the newly established Center for Urban and Coastal Climate Science Research. The Center addresses complex climate challenges affecting natural ecosystems, the built environment, the economy, and the health and well-being of Maryland's residents.

We seek an innovative scholar whose research integrates computational methods, environmental science, and advanced data analytics to improve understanding of environmental and climate systems, particularly in urban and coastal communities. The successful candidate will develop an independent, externally funded research program, contribute to interdisciplinary collaborations, teach undergraduate and graduate courses, and mentor students in environmental informatics, computational environmental science, and related fields.

• Establish and sustain an independent research program in environmental informatics and computational environmental science, and pursue competitive external funding from federal, state, foundation, and other sponsors.
• Develop and apply computational and quantitative approaches-including artificial intelligence, machine learning, data science, statistical methods, mathematical modeling, and/or high-performance computing-to investigate environmental and climate systems.
• Integrate and analyze large, heterogeneous environmental datasets to develop predictive models and computational tools for environmental monitoring, forecasting, risk assessment, and decision support.
• Develop interdisciplinary research collaborations across SCMNS, PEARL, the Center for Urban and Coastal Climate Science Research, and other University research centers.
• Publish research findings in peer-reviewed journals and disseminate results through scholarly presentations and other professional activities.
• Teach undergraduate and graduate courses in environmental informatics, computational environmental science, data science, environmental modeling, or related fields.
• Develop interdisciplinary courses and curricula that connect computational science with environmental and climate science.
• Mentor and supervise undergraduate and graduate students, postdoctoral researchers, and research technicians.
• Contribute to departmental, school, University, and professional service, community engagement, and initiatives that support student success and inclusive excellence.

• Knowledge of environmental and climate science principles relevant to computational environmental research.
• Knowledge of computational, statistical, and mathematical methods for analyzing and modeling environmental systems.
• Knowledge of methods for managing, integrating, and analyzing large, heterogeneous datasets.
• Knowledge of research design and scientific computing practices relevant to environmental informatics.

• Skill in applying computational and quantitative methods, such as artificial intelligence, machine learning, data science, mathematical modeling, or high-performance computing, to environmental research.
• Skill in using programming languages and analytical tools to process data, develop models, and interpret research findings.
• Skill in communicating complex scientific concepts through written materials, presentations, and instruction.
• Strong interpersonal and organizational skills to support collaborative…