We welcome applications from individuals who are passionate about teaching and student-centered to teach in the following subject areas:

• Artificial Intelligence and Machine Learning
• Web or Mobile Application Programming
• Cybersecurity
• Cloud Computing
• High Performance Computing
• Computer Graphics
• Computer Networks
• Machine Intelligence
• Bioinformatics
• Programming Languages and Compilers
• Algorithms
• Operating Systems
• Software Engineering

This is a pool of part-time lecturers for the department to draw on as necessary. Qualified applicants will be contacted when positions are available.

APPOINTMENTS FROM THE PART-TIME POOL ARE TEMPORARY AND OFTEN MADE JUST PRIOR TO THE START OF THE ACADEMIC TERM. APPLICANTS MUST BE AVAILABLE ON VERY SHORT NOTICE. 

REQUIRED QUALIFICATIONS

• MS degree in computer science or closely related field, or BS degree in computer science or closely related field with at least 5 years industry experience in computer science field, and demonstrable experience in the appropriate field.
• Ideal candidates will be able to document their excellent academic preparation in computer science or closely related field along with current experience in industry
• Proficiency in online teaching strategies
• Candidates should have prior teaching experience at the university level
• Candidates should demonstrate their ability to interact and work effectively with a wide and culturally diverse student population, including first-generation college students.

PREFERRED QUALIFICATIONS

• A Ph.D. in Computer Science or related field
• Preference will be given to those with significant teaching experience in working with diverse populations and fostering a collaborative, supportive and inclusive environment.
• Preference will also be given to those with relevant work experience and those who bring professional capabilities

HOW TO APPLY

A complete online application must be submitted in order to receive consideration. Please provide the following materials as it relates to your application requirements:

• Letter of interest or Cover Letter explaining expertise and what courses you are competent to teach and/or interested in teaching
• Curriculum Vitae (CV)
• Three Letters of Recommendation
• Sample Course Syllabi (if applicable)
• Undergraduate and graduate Unofficial transcripts (official transcripts upon appointment)
• Inclusive Excellence Statement (no more than 500 words)
  This statement provides the candidate

We welcome applications from individuals who are passionate about teaching and student-centered to teach in the following subject areas:

• Artificial Intelligence and Machine Learning
• Web or Mobile Application Programming
• Cybersecurity
• Cloud Computing
• High Performance Computing
• Computer Graphics
• Computer Networks
• Machine Intelligence
• Bioinformatics
• Programming Languages and Compilers
• Algorithms
• Operating Systems
• Software Engineering

This is a pool of part-time lecturers for the department to draw on as necessary. Qualified applicants will be contacted when positions are available.

APPOINTMENTS FROM THE PART-TIME POOL ARE TEMPORARY AND OFTEN MADE JUST PRIOR TO THE START OF THE ACADEMIC TERM. APPLICANTS MUST BE AVAILABLE ON VERY SHORT NOTICE. 

REQUIRED QUALIFICATIONS

• MS degree in computer science or closely related field, or BS degree in computer science or closely related field with at least 5 years industry experience in computer science field, and demonstrable experience in the appropriate field.
• Ideal candidates will be able to document their excellent academic preparation in computer science or closely related field along with current experience in industry
• Proficiency in online teaching strategies
• Candidates should have prior teaching experience at the university level
• Candidates should demonstrate their ability to interact and work effectively with a wide and culturally diverse student population, including first-generation college students.

PREFERRED QUALIFICATIONS

• A Ph.D. in Computer Science or related field
• Preference will be given to those with significant teaching experience in working with diverse populations and fostering a collaborative, supportive and inclusive environment.
• Preference will also be given to those with relevant work experience and those who bring professional capabilities

HOW TO APPLY

A complete online application must be submitted in order to receive consideration. Please provide the following materials as it relates to your application requirements:

• Letter of interest or Cover Letter explaining expertise and what courses you are competent to teach and/or interested in teaching
• Curriculum Vitae (CV)
• Three Letters of Recommendation
• Sample Course Syllabi (if applicable)
• Undergraduate and graduate Unofficial transcripts (official transcripts upon appointment)
• Inclusive Excellence Statement (no more than 500 words)
  This statement provides the candidate