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Heidelberg University is accepting applications for an Assistant Professor of Computer Science and Data Analytics. The successful candidate will be a generalist who can teach a wide variety of undergraduate courses in computer science, data analytics, mathematics, and closely related areas. This faculty appointment includes a full-time teaching load, office hours, advising, committee work, research, and opportunities for continued professional development. This is a three-year appointment with the possibility of extension. The computer science, data analytics, and mathematics programs were recently integrated into the School of Natural Sciences and Nursing; candidates with a background in multiple disciplines who can contribute to and further develop interdisciplinary curricula are strongly encouraged to apply.
Job Responsibility:
Teach a full-time load (24 credit hours/year) which includes lecture and laboratory courses appropriate to their expertise
Utilize innovative and collaborative teaching methods in support of the program’s mission and learning objectives that promote knowledge, critical thinking, and communication competency within the discipline
Attend school and university faculty meetings
Advise students in scheduling classes and making progress toward degree completion and career goals
Advise undergraduate student research projects
Contribute to school and interdisciplinary initiatives, including recruitment and retention efforts, and curriculum development
Participate in University activities including but not limited to: committee assignments and activities, extra- and co-curricular activities supporting student success and achievement in alignment with a liberal arts tradition, and professional development activities which personally and academically enhance a professional academic career
Perform other essential duties as assigned/as outlined in the Faculty Manual
Requirements:
Master’s Degree in computer science, data analytics, or a closely related field
Teaching/Instructional experience in the areas above
Familiarity with small liberal arts student-focused institutions
Ability to relate to a diverse cross-section of individuals
Must demonstrate analytical and strategic thinking abilities
Demonstrated strong commitment to student-centered active learning and student engagement activities
Demonstrated experience, knowledge, and appreciation for a liberal arts tradition
Commitment and a demonstrated record of academic excellence with professional and personal integrity
Demonstrated excellent interpersonal, written, and verbal communication and problem-solving skills
A demonstrated work ethic that promotes teamwork, enhances creativity and motivation and builds consensus in a high-energy and high-task environment
Ability to manage several projects simultaneously
Ability or willingness to learn to manage class in an online learning modality
Knowledge of operation and use of various office equipment, including, but not limited to: personal computer, including spreadsheet and word processing software, integrated database software, fax machines, copier, telephone, scanner, and printers
A valid driver’s license may be required
Nice to have:
Ph.D. or ABD in computer science, data analytics, data science, or mathematics
Documented background in the related instructional area
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