General Description

Johns Hopkins University
Advanced Academic Programs
Data Analytics and Policy Program
Adjunct Faculty: Data Visualization and Machine Learning 

Institution Description:
The Advanced Academic Programs (AAP) is a division of the Krieger School of Arts and Sciences at the Johns Hopkins University (JHU).  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 in the mid-Atlantic region and online.  In addition to the online programs, AAP also offers master's degree programs at its Washington, DC Center and at the Homewood campus in Baltimore, MD.  AAP has approximately 18,000 enrollments each academic year.  JHU is committed to hiring candidates who, through their teaching and service, will contribute to the diversity and excellence of the academic community.

Position Description:
The Advanced Academic Programs (AAP) division seeks one or more non-tenure track adjunct faculty to develop and teach courses within the Master of Science in Data Analytics and Policy program. Specifically, we are seeking instructors qualified to teach Data Visualization (470.673) and/or Machine Learning Methods and Applications (470.667). Applicants may also be considered for other teaching opportunities in the program. The course(s) will begin their development processes in January 2024 and will be taught in the fall 2024 semester and beyond. The courses will be taught fully online (asynchronously) and/or onsite in Washington, DC. Candidates with online course development and teaching experience and those with experience teaching and engaging students from diverse backgrounds are of particular interest.

Data Visualization is a core course in our curriculum, introducing learners to exploratory data analysis and visualization in R, Python, and Tableau. Interactive visualization and dashboard development are also included in the course.

Machine Learning Methods and Applications is an introductory course in machine learning, including topics such as linear modeling for prediction, classification, tree-based methods, support vector machines, and an introduction to deep learning and neural networks.

Full course descriptions and an overview of our full curriculum are available on the program website.

Faculty duties include collaborating with the program director and AAP's instructional design team on course design in the spring and summer of 2024. In fall 2024, the faculty member will serve as the instructor for the course(s).

Qualifications

Minimum Qualifications

• An advanced degree with training in quantitative methods, with a master's degree at minimum (e.g., political science, sociology, business analytics, economics, geography, public policy, psychology, or similar)
• Experience with statistical programming, data visualization, machine learning, and data analytics

Preferred Qualifications

• A terminal degree with training in quantitative statistical methods (e.g., political science, sociology, business analytics, economics, geography, public policy, psychology, or similar)
• 1-3 years of graduate or advanced undergraduate-level teaching experience
• Online teaching experience
• Experience or interest in multimedia course content development
• 1-3 years of professional experience with applied statistics, predictive modeling, machine learning, database management, and related data science tools. An equivalent record of scholarly work is also desirable.

Application Instructions

The position will remain open until filled. For best consideration, please apply by August 21, 2023.

Candidates must submit the following:

• Cover letter
• Curriculum vitae
• Teaching evaluations for two most recently taught courses, if the applicant has teaching experience.
• Sample syllabi for relevant data analytics course(s), if available
• transcript for your highest degree awarded

The selected candidate will be expected to undergo a background check and submit references upon request.

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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.

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