The faculty member must uphold the highest standards of integrity and professionalism, demonstrate a strong work ethic, and continue advancing their knowledge in the field through ongoing research, learning, and engagement with the academic community.The ideal candidate will have a Ph.D. in Computer Science or a related field, with demonstrated expertise in Programming, Software Engineering, Data Science, Information Technology, and Information Security.

1. Design and teach undergraduate and graduate level courses in computer science topics like programming, algorithms, databases, operating systems, etc.
2. Employ innovative and engaging teaching methodologies to ensure student learning outcomes are met.
3. Advise students on academic and career pathways; mentor students in research and projects.
4. Develop curriculum, course content, and learning materials for cybersecurity, data science, IT, and related programs.
5. Maintain student records and monitor progress and performance.
6. Conduct and publish high-quality research in fields like cybersecurity, machine learning, AI, etc.
7. Pursue research funding through governmental, industry, and organizational grants and partnerships.
8. Serve on departmental, college, and university committees and initiatives.
9. Foster student success through academic support services and co-curricular engagement.
10. Participate in professional development activities to continually advance knowledge and teaching practices.
11. Undertake community outreach, industry engagement, and promotional activities for the program and department.
12. Collaborate with faculty colleagues on interdisciplinary initiatives that enhance student learning.

• A minimum of two years experience in teaching and research in a recognized university. 
• Strong command of the following areas:
• Information Technology and Information System:
• Expertise in systems architecture - servers, storage, networking, virtualization, web technologies
• Mastery of database platforms - SQL, Oracle, MongoDB
• Proficiency with BI analytics tools– Tableau, Power BI, QlikView
• Strong systems analysis and design skills - UML, requirement gathering
• Programming skills – Java, JavaScript, Python, C#
• Cloud technologies expertise - AWS, Azure, GCP
• Knowledge of OS administration - Windows Server, Linux, Virtualization
• Understanding of IT infrastructure and computer hardware
• Familiarity with IT service delivery models - IaaS, PaaS, SaaS
• Hands-on with automation tools – PowerShell, Bash, Ansible
• Process automation & integration - APIs, ETL
• Ability to teach broad IT concepts across software, security, data, networking, e-business, and business intelligence.
• Data Science
• Expertise in R, Python (NumPy, Pandas, Matplotlib, Scikit-Learn
• Experience with data mining, cleaning, munging techniques
• Knowledge of machine learning algorithms like regression, classification, clustering,
• Ability to teach statistical analysis methods and modeling
• Familiarity with big data platforms like Hadoop, Spark, and cloud tools
• Visualization skills with Tableau, Power BI, D3.js
• Understanding of neural networks, NLP, sentiment analysis
• At least six Scopus-indexed publications (including those pending publication) with at least three as first or second authors. The papers must be in the fields mentioned above.
• Strong command of Computer Programming

1. Fluency in written and spoken English is required; ability to teach courses in both English and Arabic is preferred.
2. Demonstrated expertise in teaching and developing courses at undergraduate and postgraduate levels in computer science or closely related fields.
3. Experience designing curricula, assessments, and learning materials for cybersecurity, data science, and/or information technology programs.
4. Ability to lead collaborative initiatives and work effectively in cross-functional teams.
5. Skills in advising and mentoring students academically and professionally.
6. Established a record of high-quality publications in top-tier peer-reviewed journals/conferences in the area of research.
7. Passion for outreach and engagement activities that promote the discipline.
8. Excellent communication and presentation abilities to convey complex topics.
9. Commitment to teaching excellence, innovation, and student success.
10. Enthusiasm for community building and departmental service responsibilities.
11. Self-motivated with an ability to take initiative and work independently

A holder of a Ph.D. degree in Computer Science and its related domains from an accredited University.