Assistant or Associate Teaching Professor - Baltimore, United States - Loyola University Maryland

Description

Position Title Assistant or Associate Teaching Professor Faculty Type Non Tenure Track Fulltime Office/Department Computer Science Work Environment Onsite Location Evergreen Main Campus If Temporary or Visiting, Estimated End Date: Position Duties We seek an individual committed to excellence in undergraduate teaching to join the Computer Science teaching faculty at the rank of Assistant or Associate Teaching Professor, who has the appropriate experience and skill set to serve as the Faculty Director of the MS in Data Science program. A master's in Computer Science, Computer Engineering, or a closely related field is required; a Ph.D. is preferred. This is an open rank position; however, candidates must have the equivalent of at least five years of full time teaching experience, or equivalent academic/industry experience for consideration for hire at the level of Associate Teaching Professor.

As the Faculty Director of the MS in Data Science, the successful candidate will work with faculty who teach in this interdisciplinary program to manage the curriculum and student concerns. The faculty director will have administrative staff support for the day to day running of the program, and a faculty committee to support curricular and educational needs of the program.
Applicants should feel comfortable teaching computer science majors and will have the opportunity to teach upper-level electives based on expertise. Interest in teaching in our data science undergraduate and MS programs is highly desirable.

Teaching load is usually four courses each in fall and spring, with no required summer teaching. The role of Faculty Director for the MS in Data Science program will include two yearly course releases, as well as a summer stipend. The candidate will assist the department in curricular development, review, and assessment, as well as contribute to the educational mission of Loyola University Maryland. Teaching faculty are full voting members of the department.Loyola seeks a broad spectrum of candidates, including but not limited to women, people of color, persons with disabilities, sexual minorities, first-generation college students, those with non-traditional career paths, and those who understand, respect, and can actively contribute to the University's Jesuit mission and values. For more information about our values please visit With a newly established Office of Equity and Inclusion headed by our Chief Equity and Inclusion Officer, we are committed to providing an environment where everyone can learn, grow, and thrive. Key efforts include faculty development programming, opportunities for learning (e.g., Diversity Reading Groups), investment in pedagogical resources for differential instruction (e.g., ), affinity faculty and staff groups, and following best-practices for hiring. For a full list of benefits to working at Loyola University Maryland, please visit .

Applicants must submit the following online

A cover letter noting why the applicant is interested in both the teaching position and Data Science director positions, listing specific teaching interests and summarizing relevant experience in the classroom and in overseeing programs.

A up-to-date curriculum vitae.

A teaching statement that includes your philosophy of teaching, a summary of your teaching experiences, and the courses that you are interested in and able to teach.

A list of courses previously taught either on CV or in teaching statement.

Contact information for three professional references; this must include email addresses. We will contact references to provide letters for candidates who are chosen for the initial phone interview.

Required Qualifications

Masters' degree in Computer Science or related field

For the associate teaching rank,, the equivalent of at least five years of full-time teaching experience, or equivalent academic/industry experience

Knowledge of computer science, if degree is in a related field

Expertise in Java, Python, or a similar high-level programming language

The ability to teach across multiple courses in the curriculum

Ability to direct the MS in Data Science program and strong interest in curricular and program development.

Experience overseeing or coordinating programs

A desire to and/or experience in teaching in the liberal arts context

A demonstrated appreciation of or engagement in high-impact teaching practices

Commitment to the goals of education in the Jesuit tradition

An awareness of approaches for creating a sense of inclusion and belonging in the classroom

Preferred Qualifications Any of the following preferred qualifications will help a candidate stand out:

Ph.D. in Computer Science or a closely related discipline

Significant teaching experience in majors-level computer science courses

Significant teaching experience at a four-year higher education institution