JOB POSTING IS EXPIRED
Adjunct Faculty – Computer Science

Job Overview

Loras College invites applications for an adjunct faculty member to teach two courses in the Computer Science undergraduate program in the spring 2024 semester: CSC 225 Data Structures & Algorithms and CSC 350 Computer Graphics. A single adjunct is preferred to teach both courses, but applications from candidates who can teach just one of the two courses will also be considered. Please indicate your interest in teaching one or both courses in the cover letter. These courses will be delivered online in an asynchronous format. The courses are a part of the 15-week semester. Information about the Computer Science B.S. program and course descriptions can be found in the Loras College Undergraduate Bulletin. Spring 2024 classes begin January 8, 2024.

Essential Job Functions/Responsibilities:

• Teach assigned course(s) as specified in the schedule and course contract.
• Participate in welcome orientation to become familiar with the University's mission, academic policies and procedures, expectations, and Learning Management System, eLearn (Moodle).
• Clearly communicate course objectives and learning outcomes, teaching methodology, and assignments and deadlines.
• Employ a variety of teaching styles to effectively deliver course content demonstrating both academic and real-world applications of concepts covered.
• Encourage active learning through discussion topics, class assignments, group projects, etc.
• Provide feedback and grade assignments to students in a timely and thorough manner (within 24-48 hrs.).
• Outreach to students who are not attending synchronous class times, submitting assignments, or showing other evidence of active engagement in the class.
• Report early alerts for students who are not actively engaging in the course.
• Establish digital office hours to provide additional assistance with student questions/concerns.
• Ability to legally work in the US. Applicants who require sponsorship will not be considered.

Minimum Qualifications

• Master's degree in Computer Science or another relevant field from a regionally accredited institution in combination with IT-related work experience.
• Student-centered approach and passion for teaching and mentoring a diverse student population.

Preferred Qualifications

• Ph.D. in Computer Science or another relevant field from a regionally accredited institution.
• Teaching experience in an online setting at a higher educational institution.
• Experience with assessment of student learning.
• Knowledge of and demonstrated experience with integrating instructional technology into classroom experiences.
• Ability to use learning management systems effectively to teach, assess, and communicate with students.

Review of applications begins immediately and continues until the position is filled. For more information contact William Hitchcock - Professor of IT & Analytics, Dean of the Noonan School of Business, Engineering, and Innovation, William.Hitchcock@Loras.edu (563) 588-7286.

To apply, please go to: https://loras.applicantpool.com/jobs/ to upload your letter of application that explains your interest in and qualifications for the position, unofficial transcripts from advanced degree(s) awarded, curriculum vitae, as well as contact information for three professional references. The finalist will need to pass a background check before receiving a written employment offer. Official transcripts will also be needed before the start of employment.

Loras College is an equal opportunity employer committed to creating an educational and work environment that is inclusive, rich in diversity, and supportive of all students, faculty, and staff. Individuals from diverse racial, ethnic, and cultural backgrounds, women, veterans, and persons with disabilities are strongly encouraged to apply. Please visit www.loras.edu for additional information about Loras College.

APPLICATION PROCEDURE. Applicants must go to: http://loras.applicantpool.com to apply. Please upload: your letter of application and resume. The finalist will need to pass a background check before receiving a written employment offer.