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Assistant Professor of Information Systems - Equitable AI & Machine Learning

Employer
Morgan State University
Location
Baltimore, Maryland, United States
Salary
Competitive Salary
Date posted
Jul 29, 2024
Posting Details

Posting Summary

Job Title
Assistant Professor of Information Systems - Equitable AI & Machine Learning

Division
Divison of Academic Affairs

Department
Department of Information Science and Systems

Work Status
Full Time

Position Category
Faculty

Faculty Rank

FLSA

Pay Range

Salary Range
$75,000 to $120,000 (Based on discipline)

Fund Source
State Support

Job Summary

Job Duties

This faculty position will serve the mission of Morgan State University and the Earl G Graves School of Business and Management through the activities of teaching, intellectual contributions and service. As a member of the CEAMLS faculty, engagement in multidisciplinary work with faculty with very diverse backgrounds is anticipated.

The person holding this position will be responsible for developing and teaching online and face-to-face undergraduate and graduate-level courses in AI, data analytics, information systems and/or project management.

The candidate will conduct research and write and obtain grants in AI/Data Analytics/Data Science/Information Systems leading to publishing in referred journals and presenting the research in local and national conferences and serve as a member of professional organizations.

The candidate will participate in Department, School and University committees. Teaching assignments will include courses in our Masters program in Data Analytics and Visualization, doctoral and undergraduate courses in AI, Data Visualization, Data Analytics, and depending on background and qualifications, may include courses in computer literacy, management information systems, computer networks, cybersecurity, systems analysis and design, project management, supply chain management, and enterprise information systems ( SAP ).

Knowledge, Skills, Abilities & Other Characteristics

Required Minimum Qualifications

The successful candidate will have an earned doctorate (by August 2025) in Information Systems, or related disciplines such as Decision Sciences and/or Management Sciences with research experience in artificial intelligence. The candidate should have a demonstrated record of quality research and writing proposals.

Other Preferences for Consideration
  • Equity aspects of artificial intelligence.
  • Prior work experiences that use related skills are desirable.
  • Potential for excellence in teaching.
Posting Detail Information

Posting Number
FA00357

Number of Vacancies
1

Job Open Date
07/29/2024

Best Consideration Date

Job Close Date

Special Instructions to Applicant

Interested candidates should attach to the application: a letter of interest, current curriculum vitae, portfolio of examples of research accomplishments, graduate transcript (initially, unofficial transcripts will be acceptable), statement of teaching philosophy with evaluation summaries and three letters of recommendation. Review of applications will begin immediately and will continue until the position is filled. The position will be available at: https://morgan.peopleadmin.com/hr/postings/abcxyz

Supplemental Questions

Required fields are indicated with an asterisk (*).

  1. * Will you have a Ph.D. in hand by the date of appointment or an advanced ABD by the date of the appointment?
    • Yes
    • No
  2. * Briefly list your area(s) of research or teaching expertise.

    (Open Ended Question)

  3. * Provide a statement of your research interest(s)

    (Open Ended Question)

  4. * Please describe the attributes that will make you a strong candidate for this position

    (Open Ended Question)

  5. * How did you hear about this employment opportunity?
    • Public Job Posting
    • Internal Job Posting
    • Agency Referral
    • Advertisement/Publication
    • Personal Referral
    • Website
    • Other
Applicant Documents
Required Documents
  1. Resume
  2. Cover Letter
  3. Transcripts (unofficial )
  4. Curriculum Vitae
  5. Statement of Teaching Philosophy
  6. Research Philosophy
  7. Syllabus Sample
Optional Documents
  1. Statement of Interest


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