Information Systems and Decision Sciences - Part-Time Lecturer Pool

Information Systems and Decision Sciences - Part-Time Lecturer Pool

Department of ISDS
Part-Time Lecturer Pool

POSITION

The Department of Information Systems and Decision Sciences (ISDS) at CSU Fullerton invites applications for its Part-Time Lecturer Pool.

We welcome applications from individuals who are experienced and student-centered to teach in the following subject areas:

• Information System (Management Information Systems / MIS)
• Statistics / Decision Sciences
• Business Analytics
• Data Analytics / Information Technology

Applicants are also encouraged to indicate interest in graduate-level teaching in the M.S. in Information Systems (MSIS) and the MBA concentrations in Information Systems, Business Analytics, and Decision Sciences.

This is a pool of part-time lecturers for the department to draw on as necessary. Qualified applicants will be contacted when positions are available.

APPOINTMENTS FROM THE PART-TIME POOL ARE TEMPORARY AND OFTEN MADE JUST PRIOR TO THE START OF THE ACADEMIC TERM. APPLICANTS MUST BE AVAILABLE ON VERY SHORT NOTICE.

REQUIRED QUALIFICATIONS

• Master's Degree in Management Information Systems, Operations Research, Statistics, Business Analytics, Data Sciences or related field from an accredited institution or foreign equivalent
• Relevant experience in a related quantitative or computational field
• Demonstrated competency with the tools used in our courses appropriate to the teaching area - for example SQL/databases, Python or R, Tableau or Power BI, Excel modeling, and/or systems analysis and design
• Candidates should demonstrate their ability to interact and work effectively with a wide and culturally diverse range of students, including first-generation college students

PREFERRED QUALIFICATIONS

• Doctoral degree in a related field
• Preference will be given to those with significant teaching experience in working with diverse populations and fostering a collaborative, supportive and inclusive environment.
• Preference will also be given to those with relevant performance and professional experience.
• To support the College's AACSB accreditation, candidates are asked to describe their professional currency, certifications, and/or scholarly activity so the appointment can be classified under the AACSB faculty qualification framework (e.g., Instructional Practitioner or Scholarly Practitioner).
• Familiarity with artificial intelligence concepts and hands-on experience with AI tools (e.g., generative AI / large language models, AI-assisted analytics and coding), and the ability to integrate them responsibly into instruction

HOW TO APPLY

A complete online application must be submitted in order to receive consideration. Please provide the following materials as it relates to your application requirements:

Required materials at time of application:

1. Cover Letter which includes a statement of which courses qualified to teach
2. Curriculum Vitae
3. Copy of your unofficial transcripts conferring your highest terminal degree
4. A list of three (3) references with contact information (these same three individuals will serve as your letter-of-recommendation writers if you are selected as a finalist - no additional references are required)
5. Sample of course syllabi
6. Teaching Evaluations (strongly preferred)
7. A brief statement confirming your availability - day and/or evening sections, campus locations, online vs. in-person modality, and willingness to accept a single-section assignment on short notice

Required materials before official hire:

1. Three letters of recommendation - Once selected as a finalist, your previously listed references will be notified via email to upload their confidential letter of recommendation
2. Official transcripts from the institution's Registrar's office emailed to: rbhaskar@fullerton.edu

Applications will be reviewed as needed. Please direct all questions about the position to: Dr. Rahul Bhaskar, Department Chair at rbhaskar@fullerton.edu

APPOINTMENT DATE AND ACADEMIC CALENDAR

The need for part-time faculty is greatest in Fall and Spring semesters. The Fall term begins in the late August and ends in mid-December; the Spring term runs from the middle of January through the end of May. On rare occasions part-time faculty are needed during one of the Summer Session segments.

PERFORMANCE EVALUATION

Regular performance evaluations of part-time lecturers are made by the department in accord with the faculty Collective Bargaining Agreement and University Policy Statement 210.070. These performance evaluations determine which lecturers will be retained for future and continued teaching assignments. And in some instances, syllabi, assignments and reading material will be reviewed by the departmental personnel committee.

APPOINTMENT AND SALARY

All part-time faculty appointments are made as Lecturers, under the terms of the Collective Bargaining Agreement between the CSU system and the California Faculty Association. Initial appointments are for one semester only.

Classification Range: $5,507 - $6,677 per month
Anticipated hiring range depending on qualifications, not to exceed $6,221 per month

The full-time (15 units per semester) monthly base salaries indicated above are prorated to the number of units worked and are paid in six monthly payments for each full semester. For a three-unit assignment, typical starting compensation ranges from $6,608.40 to $7,465.20 per semester.

For a description of potential benefits, go to: https://hr.fullerton.edu/total-wellness/health-benefits.html