Adjuncts Faculty - Master Degree Program in Data Science and Cyber-engineering

Get Set for Cumberlands! Join our team of student-focused individuals working together in order to encourage intellectual and spiritual growth, leadership and service. CURRENT STUDENT or EMPLOYEE? Please log into Workday and use the Career Tile to find and apply to jobs from our internal career sites. Consistent with and supportive of UC’s mission to provide industry-relevant higher education to a diverse student population. Adjunct Faculty members provide quality and innovative instruction and meaningful engagement with our students to successfully achieve the relevant course, program, and degree level outcomes and support their academic success in the Data Science and Cyberengineering Domain. Responsibilities:.

• 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.

Required Skills:

• 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.

Required:

• 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.
• Candidate must be based in the US.

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