Adjunct Faculty: Applied Analytics

Job Overview

Loras College invites applications for adjunct faculty to teach two courses in the Applied Analytics graduate program in the spring 2023 semester:  MAA 520 Data Science and MAA 540 Machine Intelligence.  These courses are delivered online in a combined synchronous and asynchronous format.  The synchronous component includes two hours weekly plus a single weekend in 7 week terms.  The courses are offered on Tuesday evenings with Data Science beginning January 31 and Machine Learning beginning March 28.  Information about the Applied Analytics M.S. program and course descriptions can be found here:

Essential Job Functions/Responsibilities:

• Teach assigned course 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 Data Science, Analytics, Computer Science, Statistics, Mathematics or another relevant field from a regionally accredited institution in combination with analytics related work experience.
• Student-centered approach and passion for teaching and mentoring a diverse student population.

Preferred Qualifications

• PhD in Data Science, Analytics, Computer Science, Statistics, Mathematics 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 Robert Keller – Professor of Mathematics and Analytics, Applied Analytics Program Director, robert.keller@Loras.edu  (563) 588-7015.

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 prior to 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.