أستاذ مساعد/مشارك في الذكاء الاصطناعي

Assistant/Associate Professor – Artificial Intelligence

The College of Information Technology invites applications for the position of Assistant Professor or Associate Professor in Artificial Intelligence (AI). The successful candidate will contribute to teaching excellence, cutting-edge research, student supervision, and academic service while supporting the continued development of AI- related programs within the college.

Key Responsibilities

• Teach undergraduate and/or postgraduate courses in cybersecurity, including but not
  limited to:
  
  • Machine Learning
  • Deep Learning
  • Neural Networks
  • Natural Language Processing
  • Computer Vision
  • Intelligent Systems
  • Data Mining & Big Data Analytics
  • AI Ethics and Governance
• Develop and update course materials to reflect current technological developments and industry standards.
• Conduct high-quality, peer-reviewed research in Al and publish in reputable journals and conferences.
• Supervise senior projects, graduate theses, and research activities.
• Advice, mentor, and support students academically.
• Assist in accreditation efforts, curriculum design, and continuous program improvement.
• Participate in college and university committees, events, and academic initiatives.

Qualifications

• PhD in Artificial Intelligence, Computer Science, Data Science, or a closely related specialization.
• Strong publication record in Al and machine learning domains.
• Demonstrated teaching experience at the university level.
• Expertise in one or more key Al areas (e.g., NLP, Computer Vision, Reinforcement
  Learning, Al in Cybersecurity, Generative Al).
• Experience with Al tools, frameworks, and platforms (e.g., Python, TensorFlow) is highly desirable.
• Excellent communication and teamwork skills.
• Commitment to effective teaching, impactful research, and university service.

Rank Requirements

Assistant Professor:
Evidence of strong research potential and emerging contributions in AI.

Associate Professor:
A strong publication record, proven teaching excellence, and demonstrated academic
service and leadership.

Application Requirements

• Curriculum Vitae (CV)
• Research statement
• List of publications

Please submit all the application materials in a single file to human resources directorate [email protected]. Only shortlisted candidates will be contacted for further evaluation and interviews.

Apply