Assistant Professor of Computer Science

Job Details

Description

The Assistant Professor of Computer Science is a full-time non-tenured faculty position requiring a strong educational background specifically in more than one area of Computer Science. This position shall have the primary responsibility of supporting the Division of Computer Science, Mathematics & Technology in maximizing its operating performance while achieving institutional goals. The Assistant Professor of Computer Science requires a strong academic background specifically in Computer Science, Cybersecurity, Information Systems and Data Science and experience in the field with the ability to teach undergraduate and graduate courses both face-to-face and online. This key position shall report to the Chair of the Division of Computer Science, Mathematics & Technology.

Essential Functions

• Teach computer science, cybersecurity and information systems courses.
• Actively participate in community technology and cybersecurity activities.
• Perform program assessment for ABET and CAE-CD accreditation.
• Perform teaching, scholarship, service, and professional development.
• Advise students in both academic and career fields.
• Offer both introductory and advanced courses directly related to scheduled instruction, including lecture, laboratory, clinical, performance and coaching assignments.
• Conduct student assessment activities.
• Develop and utilize a course syllabus for each course, following established institutional guidelines.
• Be accountable for collaborative and applied research in various disciplines, including assistance with grant applications and data analysis on funded grants.
• Actively engage in faculty-student research supported through external grants.
• Perform teaching, scholarship, service, professional development, and program assessment for accreditation.
• Advise students for both academic and career fields.
• Give individual evaluations of student performance including midterm and final grades.
• A thorough understanding of technology, learning management systems (LMS) and computer applications is essential (i.e. Blackboard, Canvas, Powercampus, Jenzabar, LinkedIn Learning).
• Perform other duties and responsibilities as required or deemed appropriate to the accomplishments of the responsibilities and functions of the Division of Computer Science, Mathematics & Technology.
• The omission of specific duties does not preclude the department head from assigning tasks that logically relate to the position.
  
  

Required Knowledge, Skills, And Abilities

• Ability to foster a collaborative academic environment and cross-disciplinary initiative.
• Ability to demonstrate a high level of professionalism, initiative, resourcefulness, and personal accountability.
• Ability to handle information of sensitive and confidential nature in the utmost professional manner.
• Commitment to excellence in teaching and learning, scholarship, service, and professional development.
• Effective analytical and decision-making skills.
• Excellent communication (oral and written), organizational, and time management skills.
• Effective interpersonal skills and ability to work with diverse constituents.
• Attention to detail and adaptability to a changing environment is extremely important as well as dependability.
• Proficient in MS Office Suite, and LinkedIn Learning.
• Proficient in using data in assessment and decision making.
• Moderate physical activity. Requires handling objects of average weight up to fifty (50) pounds or standing and/or walking for more than four (4) hours per day.
• Note: In compliance with the American Disabilities Act (ADA), those functions of the job which are identified essential are required to be performed with or without reasonable accommodations. Requests to facilitate the performance of essential functions will be given careful consideration.
  
  

Minimum Requirements

• An earned doctorate degree in Computer Science and 18 graduate credits hours in computer science.
• The ability to provide quality instruction in the academic discipline.
• The potential for peer reviewed research, scholarly and/or creative accomplishment by representing the University in the academic discipline.
• The potential to have a positive impact through service that represents the University on campus and within the greater community.
• Experience teaching in higher education.
• Familiarity with the Jenzabar technology suite for higher education.
• An equivalent combination of experience and education may be considered.
• Ability to maintain a flexible work schedule that may include working nights and weekends. (if applicable).
  
  

Pre-Employment Requirements

• Criminal background check.
• Drug testing.
  
  

Florida Memorial University is an Equal Employment Opportunity Employer.