Part Time Assistant Professor, Data Science
The School of Engineering & Technology is seeking a PT Faculty Member in the following areas of specialization(s): Data Science, Engineering, Computer Science, Statistics, Business Analytics.
Part-time faculty members teach courses within a programmatic core discipline as assigned, guide doctoral candidates through doctoral dissertation requirements (as Chair or committee member), and teach doctoral courses. Primary responsibility is to engage students, offer excellent feedback, and inspire students to achieve course and program outcomes relevant to the core discipline. This position works closely with other faculty teaching in the discipline, Associate Dean, and Dean.
The role of Assistant Professor includes teaching courses within a programmatic core discipline as assigned, acting as a Dissertation Chair and/or acting as a Dissertation Committee Member.
Specific performance standards for teaching include, but are not limited to:
- Assistant Professor will email/record and post a welcome letter to their assigned students one week prior to the start of course, when feasible, but always within the first week of the course.
- Assistant Professor will record and post a video introduction which will be placed in each course.
- Assistant Professor will answer all student emails within two calendar days which is likely to require responding over weekends. The exception to this requirement is if the Assistant Professor is on PTO or when there is a holiday observed by the University.
- Communication with students will take place within the University learning management system (LMS), University-designated systems and through University assigned email.
- Assistant Professor will contact Student Services (by use of designated means) in the LMS as soon as a Assistant Professor determines a student is not actively participating in the course.
- Assistant Professor will contact a student by email and a phone call to encourage re-engagement in the course as soon as Assistant Professor determines a student is not actively participating in the course.
- As technologically supported by the platform, Assistant Professor will host no less than two one-hour synchronous office hour sessions per week. Office hours will be posted in each course.
- Assistant Professor will provide quality feedback to students. Quality feedback includes but is not limited to:
- substantive and reflect a content focus
- impart knowledge, share resources and dialogue with students
- include track changes of edits to proper use of mechanics
- include a summative statement at the beginning or end of document with key observations
- communicate in a manner and with language reflecting support of the student
- If Assistant Professor fulfills all or a portion of their load serving as a Dissertation Chair or Dissertation Committee Member, Professor will:
- complete NCU Doctoral Student Experience Training (and other training as required).
- follow dissertation guidelines
- adhere to timelines required of chairs and committee members
- be available to students and fellow committee members for synchronous meetings when needed
Assistant Professor is expected to meet the University’s requirements for scholarship as articulated in the Faculty Handbook. Assistant Professor is encouraged to apply for the various initiatives the University funds to promote research and scholarship. Assistant Professor will:
- Maintain a record of scholarly activities befitting a doctoral granting institution
- Contribute to the body of knowledge of their discipline
Compliance with University Policies
PT Assistant Professor are expected to know, acknowledge, and comply with University policies as stated in the Team Member Handbook and Faculty Handbook.
Education & Experience:
- Doctorate in Data Science, Engineering, Computer Science, Statistics, Business Analytics or a related field
- Experience with Python, R programming, Tableau, or other data science software tools
- 1-3 years of industry or teaching experience in data science or related fields
- Experience serving on doctorate dissertation committees, preferred
- Experience with online teaching in higher education with working adults, preferred
- Must reside and be eligible to work in the United States
- Ability to participate as an active team member of the team and organization and work toward a common goal. Contributes fully to the team effort and plays an integral part in the smooth running of teams without necessarily taking the lead.
- Accepts personal accountability, proactively seeks resolution for personal limitations head-on; and supports honesty and respect towards others, the company and oneself.
- Actively seeks to influence, build effective relationships and gain alignment with peers, functional partners and/or external partners to accomplish business objectives.
- Develops new insights into situations; questions conventional approaches; encourages new ideas and innovations; designs and implements new or cutting-edge programs/processes. Ability to generate and/or recognize imaginative or creative solutions that generate successful outcomes.
- Working knowledge, principles and practices of office management/systems within a higher education environment, preferred. Demonstrates an understanding of underlying organizational issues.
- Ability to drive towards achieving measurable and challenging goals to support organizational success. Demonstrates the ability to focus on achieving results consistent with the organization’s objectives. As a leader, develops goals based on the organization’s vision, mission, strategic goals and objectives.
- Strong interpersonal skills and the ability to effectively communicate with a wide range of individual of constituencies in a diverse community.
- Work independently and foster a cooperative spirit within a large and/or small team of diverse cultures, while working in a fast-paced environment with multiple deadlines and frequently changing priorities.
- Intermediate use of computers and Microsoft Office Suite Applications such as Word, Excel, Power Point, Outlook. Experience using Student Information System (SIS) such as SOAR/Peoplesoft systems.
- Skill in verbal and written communication
- Skill in operating equipment, such as personal computer, fax, copier, phone systems
- Ability to handle a diversity of details in order to make informed and responsive decisions on matters that impact the Part-time Professors, and students
- Ability to read, analyze, and interpret periodicals, professional journals, technical procedures, and governing body regulations
- Ability to write reports, business correspondence, and procedure manuals
- Ability to define problems, collect data, establish facts, and draw valid conclusions
- Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables
- Strong analytical and critical thinking skills
- Demonstrated writing skills
- Experience with the online delivery of education and the systems that support it
- Willingness to participate in trial use of new technologies and integrate new technologies into teaching
- Excellent interpersonal and verbal/written communication skills
- Excellent organizational and communication skills
- Skill in using or eagerness to learn to use multiple technologies to teach and communicate with students (learning management systems, Skype, etc.)
- Demonstrated mastery of APA style
Travel: No travel required
: $0.00 – $0.00Candidate receiving offers will be offered a salary/pay rate commensurate with experience that vary based on a candidate’s qualifications, skills, and competencies. Absent exceptional circumstances, candidates will be offered a salary within this range for this position. Base pay is one component of National University’s total rewards package, as we are dedicated to supporting the needs of the “whole you” with our holistic approach to employee benefits by offering comprehensive well-being benefits for you and your family. For full details about our benefit plan offerings, please visit benefits.nu.edu. For part-time positions, please click here.
How to apply
National University offers an opportunity to work in an innovative environment that supports diversity.
National University (NU) is proud to be an equal opportunity employer and does not unlawfully discriminate against any employee or applicant for employee per applicable federal, state and local laws. At NU, a diverse mix of highly talented, innovative, and create people come together to make the impact of a lifetime for each of our student learners. All qualified applicants will receive equal consideration for employment, education, and admission at National University. We are focused on equality and believe deeply in diversity of race, color, ancestry, age, family care status, veteran status, marital status, creed, religion, sex, gender, sexual orientation, religion, ethnicity, national origin, and other legally protected group status.