Assistant Professor, Discrete and Applied Mathematics

Tucson, AZ
Feb 27, 2021
Position Type
Tenured & Tenure-Track
Employment Type
Full Time
Institution Type
Four-Year Institution
Posting Number:



College of Applied Sci & Tech

Department Website Link:

Medical Sub-Speciality:


Sierra Vista


Sierra Vista, AZ USA

Position Highlights:

The University of Arizona’s College of Applied Science & Technology (CAST) is a designated Center of Academic Excellence in Cyber Operations (CAE-CO) and a designated Intelligence Community Center of Academic Excellence (IC-CAE). CAST is seeking an Assistant Professor who will teach undergraduate courses within our Bachelor of Applied Science, Cyber Operations, and Intelligence & Information Operations degree programs.

CAST is seeking a candidate who can demonstrate outstanding teaching and course development consistent with the college's purpose, vision, and values. This position will contribute to building a strong team of culturally diverse faculty and staff who are committed to preparing traditional, post-traditional, and transfer students for success in a 21st-century workforce.

Outstanding UA benefits include health, dental, and vision insurance plans; life insurance and disability programs; sick leave and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; state and optional retirement plans; access to UA recreation and cultural activities; and more!

The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here.

Duties & Responsibilities:

  • Maintain workload typical for career track faculty at College of Applied Sciences and Technology (CAST) defined as 80% related to teaching and 20% related to service
  • Teaching responsibilities include online/live online course delivery, independent studies, as well as creation and revision of course content
  • Contribute to the service responsibilities of CAST in part through participation on committees and student mentoring, including those from underrepresented backgrounds
  • Contribute to CAST and University of Arizona’s development through appropriate outreach to local communities (including governmental units, businesses, nonprofit organizations, and community residents)
  • Assist in the development of innovative approaches to enhancing student engagements, increasing diversity, and expanding collaborations with community and business partners

Knowledge, Skills & Abilities:

  • Knowledge of discrete mathematics, algorithms, data structures, and how they are implemented through the fundamentals of basic programming
  • Ability to determine the complexity of the algorithm and identify cases in which the algorithm would/would not provide a reasonable approach for solving a specific problem
  • Ability to explain how variability affects outcomes; how to identify anomalous events; and how to identify the meaning of anomalous events
  • Ability to explain and demonstrate how automata are used to describe computing machines and computation; and the concept that some things are computable, and some are not
  • Ability to explain and demonstrate problems involving statistical and date terminology, the design of an experiment, and the knowledge of probability and the standard statistical distributions
  • Knowledge, understanding, and ability to teach problem-solving using hypothesis testing concerning population parameters and techniques (one-sample t-test, two-sample t-test, chi-square, regression, and One-way ANOVA)
  • Knowledge and ability to teach and demonstrate various statistical analyses using computer software

Minimum Qualifications:

  • Master’s degree in Mathematics, Computer Engineering, Computer Science, Cyber Operations, Cybersecurity, or a closely related field.
  • Specific and demonstrable experienced in the following areas:
oDiscrete mathematics
oAlgorithms analysis
oFinite automaton
oComplexity theory
oRegular expressions
oDeveloping & analyzing searching and sorting algorithms
oApportionment and scheduling to the applied sciences
oStatistical Analysis
oData Analysis
oHypothesis test

Preferred Qualifications:

  • Ph.D./D.Sc. in degree in Mathematics, Computer Engineering, Computer Science, Cyber Operations, Cybersecurity, or a closely related field
  • Demonstrated prior experience in online/live online teaching

Rank :

Assistant Professor

Tenure Information:

Career-Track (CT)



Full Time/Part Time:

Full Time

Number of Hours Worked per Week:


Job FTE:


Work Calendar:


Job Category:


Benefits Eligible:

Yes - Full Benefits

Rate of Pay:


Compensation Type:

salary at 1.0 full-time equivalency (FTE)

Type of criminal background check required::

Name-based criminal background check (non-security sensitive)

Number of Vacancies:


Target Hire Date:


Expected End Date:

Contact Information for Candidates:

William "Eric" Mapp
[email protected]

Open Date:


Open Until Filled:


Documents Needed to Apply:

Curriculum Vitae (CV) and Cover Letter

Special Instructions to Applicant:

Diversity Statement:

At the University of Arizona, we value our inclusive climate because we know that diversity in experiences and perspectives is vital to advancing innovation, critical thinking, solving complex problems, and creating an inclusive academic community. As an Hispanic-serving institution and a Native American/Alaska Native-serving institution, we translate these values into action by seeking individuals who have experience and expertise working with diverse students, colleagues, and constituencies. Because we seek a workforce with a wide range of perspectives and experiences, we provide equal employment opportunities to applicants and employees without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or genetic information. As an Employer of National Service, we also welcome alumni of AmeriCorps, Peace Corps, and other national service programs and others who will help us advance our Inclusive Excellence initiative aimed at creating a university that values student, staff and faculty engagement in addressing issues of diversity and inclusiveness.

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