Assistant Professor of Computer Science/Data Analytics at Universitt Heidelberg

Tiffin, Ohio, United States -

Full Time

Start Date

Immediate

Expiry Date

18 Feb, 26

Salary

0.0

Posted On

20 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Teaching, Data Analytics, Computer Science, Mathematics, Student Advising, Curriculum Development, Research, Interdisciplinary Collaboration, Analytical Thinking, Communication Skills, Teamwork, Student Engagement, Active Learning, Professional Development, Integrity, Diversity

Industry

Research Services

Description

Description 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. Essential Duties and Responsibilities: 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. Supervision Received: Reports directly to the Chair of the School of Natural Sciences and Nursing. Supervision Exercised: May supervise student research conducted in the school or students working as teaching/prep assistants (TAs). Core Values and Personal Attributes: Core values – models leadership values of integrity, honesty, humility, transparency, respectfulness, diversity, caring, loyalty and accountability in all work. Intellectual dynamism – demonstrates mental sharpness, capability and agility. Self-knowledge – gains insight from successes and mistakes. Personal learning – seeks feedback and counsel to improve managerial behavior. Peer relationships – encourages collaboration and cooperation across the organization. Teamwork – performs most effectively as a hard-working member of a team. Constituency focus – completes work to meet constituencies’ expectations and requirements. Community focus – brings a spirit of enthusiasm and energy to the campus and town. Requirements Education and Professional Experience: 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. Preferred Education and Experience: Ph.D. or ABD in computer science, data analytics, data science, or mathematics. Documented background in the related instructional area. Two years of college-level teaching experience. Necessary Knowledge, Skills, and Abilities: 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 Tools and Equipment Used: 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. Physical Demands: While performing the duties of this job, the employee is frequently required to use arms, hands and fingers to operate and manipulate equipment generally found in an office setting. The employee may be frequently required to be mobile, communicate, and hear. The employee may occasionally be subject to a variety of outdoor environmental conditions including heat, cold, and precipitation. The employee must frequently lift and/or move up to ten (10) pounds and occasionally lift and/or move more than fifty (50) pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. Mental demands include varied degrees of occasional stress while performing job duties. Work Environment: While performing the duties of this job, the employee frequently works in an office setting, and educational facilities including sports and entertainment venues, all of which may be indoor or outdoor. The noise level in the work environment will range from moderately quiet to occasionally loud.

Responsibilities

The successful candidate will teach a full-time load of undergraduate courses in computer science, data analytics, and mathematics. They will also advise students, contribute to curriculum development, and participate in university activities.