Adjunct Faculty - Data Science and Cyber-engineering

September 15

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11 - 50 employees

Founded 2010

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Description

• Provide instruction in assigned courses (including applicable laboratory or work that is integral to the courses). • Engage and communicate with students to encourage their course participation and learning while maintaining mutual respect and professionalism. • Maintain accessibility for and provide timely responsiveness to students, academic/faculty leadership, and University staff by telephone, UC e-mail, and other appropriate means of communication. • Establish and maintain weekly office hours for student questions/support. • Assess student performance on course assignments and provide assignment feedback to support continued student growth and development. • Maintain appropriate documentation of student course activities. • Refer students to appropriate co-curricular and extra-curricular resources (e.g., advising, tutoring, library, learning centers, and career services). • Work closely with Program Chair and/or Lead Faculty (as appropriate). • Perform other responsibilities and abide by the appropriate policies and procedures contained in UC’s Faculty Handbook.

Requirements

• Doctoral/PhD Degree required with minimum 2 years online teaching experience at University Level • Minimum and preferred from an institution regionally accredited by an agency recognized by the U.S. Department of Education. • 18 graduate semester credit hours in Data Science, and/or Cyber engineering. • Data Science courses & certification from Microsoft, Google, IBM and other similar Academic institutions. • Strong organizational and time management skills • Strong interpersonal and oral presentation/written communication skills. • Proficiency in working effectively with Blackboard • Proficiency with standard office and mobile applications • Proficiency in any of the following topics: Statistics, Python Programing, R-Programing, Network System Engineering, Artificial Intelligence, Robotic System Engineering, Data Science Programing, Data Mining, and Deep Learning.