Adjunct Instructor Positions in Computer Science, Data Science & AI, and Cybersecurity
About Florida Coastal University:
Florida Coastal University is a forward-thinking institution dedicated to providing high-quality education and innovative learning experiences. We are currently seeking qualified and experienced Adjunct Instructors to teach courses in Computer Science, Data Science & AI, and Cybersecurity. These positions will be remote , catering to our diverse student body while enhancing their learning experience.
Position Overview:
The Adjunct Instructor will be responsible for delivering high-quality instruction in their respective field. The ideal candidate will possess a Ph.D. in a relevant discipline and have experience with remote and hybrid instructional methods in higher education. Instructors will create an engaging learning environment and foster student success through innovative teaching practices.
Key Responsibilities:
Develop and deliver course content for assigned courses in alignment with the university's curriculum and academic standards.
... Utilize innovative teaching methods and technologies to enhance student learning and engagement in remote and hybrid settings.
Assess student performance and provide constructive feedback to support student development.
Collaborate with faculty and staff to improve course offerings and student success initiatives.
Maintain office hours for student consultation and support.
Participate in faculty meetings and training sessions as required.
Qualifications:
Ph.D. in Computer Science, Data Science, Artificial Intelligence, Cybersecurity, or a related field.
Proven experience in higher education instruction, particularly in remote and hybrid environments.
Strong communication and interpersonal skills.
Commitment to fostering an inclusive and supportive learning environment.
Ability to work collaboratively with faculty and administration.
Courses Available:
Computer Science:
AIE 724: Neuromorphic Computing
CSC 800: Doctoral Dissertation
IOT 734: IoT in Healthcare
IOT 735: IoT Security and Blockchain
MCS 701: Quantum Computing and Cryptography
MCS 704: Cognitive Computing and Neuroscience
Data Science & AI:
AIE 721: Advanced Reinforcement Learning
AIE 722: Human-Centered AI
AIE 723: AI for Social Good
AIE 724: Neuromorphic Computing
DAS 711: Advanced Unsupervised Learning Techniques
DAS 712: Data Governance and Quality Management
Cybersecurity:
CYB 504: Ethical Hacking
CYB 505: Incident Response and Recovery
CYB 741: Advanced Threat Detection and Response
CYB 742: Secure Software Engineering
CYB 743: Cybersecurity for Cloud Computing
Application Instructions:
Interested candidates should submit their resume, cover letter, and copies of transcripts (redacted) detailing their relevant teaching experience and qualifications. Please include a list of courses you have previously taught and are comfortable teaching.
Apply Today! Join Florida Coastal University and be a part of shaping the future of education.
Job Types: Part-time, Contract
Pay: $35.00 - $60.00 per hour
Expected hours: 2 20 per week
Work Location: Remote
Apply Now
Florida Coastal University is a forward-thinking institution dedicated to providing high-quality education and innovative learning experiences. We are currently seeking qualified and experienced Adjunct Instructors to teach courses in Computer Science, Data Science & AI, and Cybersecurity. These positions will be remote , catering to our diverse student body while enhancing their learning experience.
Position Overview:
The Adjunct Instructor will be responsible for delivering high-quality instruction in their respective field. The ideal candidate will possess a Ph.D. in a relevant discipline and have experience with remote and hybrid instructional methods in higher education. Instructors will create an engaging learning environment and foster student success through innovative teaching practices.
Key Responsibilities:
Develop and deliver course content for assigned courses in alignment with the university's curriculum and academic standards.
... Utilize innovative teaching methods and technologies to enhance student learning and engagement in remote and hybrid settings.
Assess student performance and provide constructive feedback to support student development.
Collaborate with faculty and staff to improve course offerings and student success initiatives.
Maintain office hours for student consultation and support.
Participate in faculty meetings and training sessions as required.
Qualifications:
Ph.D. in Computer Science, Data Science, Artificial Intelligence, Cybersecurity, or a related field.
Proven experience in higher education instruction, particularly in remote and hybrid environments.
Strong communication and interpersonal skills.
Commitment to fostering an inclusive and supportive learning environment.
Ability to work collaboratively with faculty and administration.
Courses Available:
Computer Science:
AIE 724: Neuromorphic Computing
CSC 800: Doctoral Dissertation
IOT 734: IoT in Healthcare
IOT 735: IoT Security and Blockchain
MCS 701: Quantum Computing and Cryptography
MCS 704: Cognitive Computing and Neuroscience
Data Science & AI:
AIE 721: Advanced Reinforcement Learning
AIE 722: Human-Centered AI
AIE 723: AI for Social Good
AIE 724: Neuromorphic Computing
DAS 711: Advanced Unsupervised Learning Techniques
DAS 712: Data Governance and Quality Management
Cybersecurity:
CYB 504: Ethical Hacking
CYB 505: Incident Response and Recovery
CYB 741: Advanced Threat Detection and Response
CYB 742: Secure Software Engineering
CYB 743: Cybersecurity for Cloud Computing
Application Instructions:
Interested candidates should submit their resume, cover letter, and copies of transcripts (redacted) detailing their relevant teaching experience and qualifications. Please include a list of courses you have previously taught and are comfortable teaching.
Apply Today! Join Florida Coastal University and be a part of shaping the future of education.
Job Types: Part-time, Contract
Pay: $35.00 - $60.00 per hour
Expected hours: 2 20 per week
Work Location: Remote
Apply Now