Adjunct Instructor in Software Development in Python

Brandeis University’s Rabb School is seeking an Adjunct Faculty member for RSEG 111: Software Development in Python, for the 2027 Spring 1 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in Software Engineering Software Engineering Artificial Intelligence Track and Software Engineering with Artificial Intelligence Online Master's Certificate .

Course Description: This course involves software development, scientific problem-solving and machine learning approaches using Python. Topics include procedures and functions, iteration, recursion, arrays and vectors, strings, an operational model of procedure and function calls, algorithms, exceptions, object-oriented programming, and GUIs (graphical user interfaces). Students will practice scientific programming and machine learning approaches using libraries such as SciPy, NumPy, Keras or Pytorch.

Application Process: Interested candidates should submit

- A cover letter highlighting relevant qualifications and teaching experience.
- A current CV or resume.
- Contact information for three professional references.

Application review begins October 29, 2026, though we will continue to accept submissions on an ongoing basis.

This appointment is to a position that is in a collective bargaining unit represented by SEIU Local 509.

Compensation for this position is $6573.15

Pay Range Disclosure

The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.

Responsibilities

Course Logistics and Facilitation : Focuses on the organized and timely rollout of course content, maintaining consistent communication through weekly announcements, and ensuring all instructional activities occur within university-approved digital platforms.; Instructor Presence and Engagement : Centers on building an active teaching persona by hosting live introductory sessions, facilitating weekly academic discourse in forums, and maintaining regular availability for student consultation.; Individual Feedback and Grading : Emphasizes the professional obligation to provide transparent, rubric-based evaluations and supportive commentary on student work within a standardized weekly timeframe.; Professional Conduct and Standards : Requires adherence to university communication protocols, the promotion of respectful online "netiquette," and ensuring the course meets accessibility and technical visibility standards before and during the term.

Requirements

Required:; Master’s degree (Doctorate preferred) in Computer Science or in a relevant discipline; At least 1 year of teaching or training experience (preferably online/asynchronous); Proficiency with LMS platforms and digital authoring tools; Familiarity with analytical tools, collaborative platforms, and interdisciplinary teamwork; Strong communication, organization, and independent work skills; Preferred:; Experience teaching or developing graduate-level online courses; Prior online teaching experience at the graduate level; Knowledge of global learner personas and culturally responsive pedagogy; Familiarity with Moodle LMS and digital authoring tools (e.g., H5P)