The Advanced Academic Programs (AAP) unit of the Krieger School of Arts and Sciences seeks an adjunct faculty to teach in the areas of energy systems and earth systems modeling, techno-economic modeling, and modeling of the electric grid. As the nation's oldest and one of the most prestigious research universities, Johns Hopkins offers high-quality master's degrees and post-baccalaureate education to students located in the greater Baltimore and Washington, D.C. regions and throughout the United States and abroad.
The Advanced Academic Programs division provides high-quality master's degrees and post-baccalaureate education to students in the mid-Atlantic region and online. AAP currently offers master's degrees and graduate certificate programs for graduate students at its Washington, DC Center as well as in Montgomery County and Baltimore, MD, and online. AAP enrolls more than 3000 part-time graduate students and is looking to aggressively grow its programs.
We invite applications to fill an opening for a non-tenure-track, adjunct teaching position. The adjunct faculty will teach one or more courses per year in the above topics in online format.
The following fields are preferred:
Modeling Energy systems and tools
This course examines decision models and analytical tools that to be used to make optimal decisions as applied to energy supply and demand. An emphasis will be on understanding and developing quantitative and predictive models, both for policy support and commercial perspectives. The course will be divided into two sections. The first part of the course will be focused training on basic modeling tools. The second part of the course will explore the development and implementation of projection models and their application in various business decision situations.
The Earth Systems
This course is designed using a systems approach in modeling the short- and long-term behavior of the Earth's climate and environment. A focus will be on modeling the climate system and the interconnected systems including the hydrosphere, the geosphere, the biosphere and the human dimension. The course will explore the assumptions and approximations needed in modeling each system. Modeling exercises will include forecasting, developing holistic concepts, and dealing with corrective strategies such as mitigation, adaptation, and geoengineering. Students will be exposed to the models used in Intergovernmental Panel on Climate Change (IPCC) reports and will use simplified versions of these models in order to better understand assumptions and results from the larger models.
Modeling the Electric Grid
This course will provide a broad look at modeling scenarios on the electric grid, including exploring renewable energy systems, distributed generation and energy storage on the grid. Distributed generation will be explored with models of power system operations and include the integration of systems (e.g. power converters, AC/DC drives and control, multilevel converts, wind and solar integration), building scenarios under various assumptions, and testing grid stability under different strains.
Nuclear Energy and Policy
This course provides an overview of the nuclear power program, including the technology (both fission and fusion) and new technology concepts (e.g. small modular reactor) as well as safety issues. The course will also cover the national and international policy and regulation as well as the current view of nuclear power in the context of the modern grid.
The ideal candidate will have an advanced degree in a relevant field, with a master's degree being a minimum, but a Ph.D. preferred. Teaching experience, especially online and with professional students, and work experience within the relevant science fields are also desired. A successful candidate would ideally be able to begin teaching in January 2020. College-level teaching experience is required and a proven record of effective online teaching and familiarity with Blackboard (or a similar learning management system) are strong advantages. The applicant should also have the background to teach a wide variety of courses in the greater energy and climate policy fields.
The position will remain open until filled; however, for best consideration please apply by July 1, 2019. Submit the following: (a) a cover letter; (b) curriculum vitae; (c) list of 3 references with names, titles, institutions, email addresses, and telephone numbers, and (d) end-of-semester student evaluations for any two courses taught recently. The selected candidate will be expected to undergo a background check and to submit proof of educational attainment.
Submit your application online only at https://apply.interfolio.com/61624 and clicking the "Apply Now for Free" button.
Internal Number: A-61624-2
About Johns Hopkins University
Johns Hopkins University remains committed to its founding principle, that education for all students should be grounded in exploration and discovery. Hopkins students are challenged not just to learn but also to advance learning itself. Critical thinking, problem solving, creativity, and entrepreneurship are all encouraged and nourished in this unique educational environment. After more than 130 years, Johns Hopkins remains a world leader in both teaching and research. Faculty members and their research colleagues at the university's Applied Physics Laboratory have each year since 1979 won Johns Hopkins more federal research and development funding than any other university. The university has nine academic divisions and campuses throughout the Baltimore-Washington area. The Krieger School of Arts and Sciences, the Whiting School of Engineering, the School of Education and the Carey Business School are based at the Homewood campus in northern Baltimore. The schools of Medicine, Public Health, and Nursing share a campus in east Baltimore with The Johns Hopkins Hospital. The Peabody Institute, a leading professional school of music, is located on Mount Vernon Place in downtown Bal...timore. The Paul H. Nitze School of Advanced International Studies is located in Washington's Dupont Circle area.