Teacher Artificial Intelligence

Roles and responsibilities

• Teaching and Instruction

  • Deliver lectures, conduct seminars, and develop course materials on Artificial Intelligence (AI) topics, including machine learning, deep learning, natural language processing, computer vision, robotics, etc.
  • Engage students with interactive teaching methods, including hands-on labs, group discussions, and real-world case studies.
  • Design, assess, and grade assignments, exams, and projects to evaluate student performance.

• Curriculum Development

  • Develop and update AI course content to keep up with advancements in the field.
  • Create and review syllabi, learning objectives, and academic materials for AI programs at both undergraduate and postgraduate levels.
  • Collaborate with other faculty members to ensure courses align with department goals and academic standards.

• Research and Innovation

  • Conduct high-impact research in the field of Artificial Intelligence, publishing findings in reputed academic journals and conferences.
  • Develop and lead research projects related to AI techniques, applications, or emerging technologies.
  • Seek external funding through grants and collaborate with industry partners to foster research and innovation.

• Student Mentorship and Guidance

  • Provide academic and career advice to students, particularly in research and AI project development.
  • Supervise student projects, theses, and dissertations at the undergraduate, graduate, and PhD levels.
  • Mentor students and support their growth in the field of AI by guiding them on research opportunities, internships, and career paths.

• Industry Collaboration

  • Develop partnerships with industry leaders to integrate AI technologies in real-world applications.
  • Engage in collaborative projects with businesses, research institutions, or government bodies to promote AI research and development.
  • Facilitate internships, workshops, and guest lectures with industry experts to enrich the educational experience.

• Department and Academic Contribution

  • Contribute to the overall academic development of the AI department and the university through active participation in meetings, committees, and events.
  • Attend conferences, workshops, and seminars to stay updated on the latest AI trends and share expertise with peers.
  • Contribute to university outreach, public engagement, and academic collaborations in AI.

• Grant Writing and Fundraising

  • Apply for research grants and funding opportunities in the field of Artificial Intelligence.
  • Manage research budgets, ensuring efficient allocation of resources for AI projects and initiatives.
  • Establish collaborations with external agencies, industry partners, and other academic institutions to secure funding.

Desired candidate profile

Candidates must have a Ph.D. in Computer Science or related field, with outstanding academic credentials. The positions expect strong interest and commitment to teaching, mentoring, and supporting students at the undergraduate level. They involve teaching fundamental and advanced courses in AI, including Machine Learning, Deep Learning, Natural Language Processing, or Computer Vision. Besides being excellent educators, candidates are expected to actively engage in activities such as research, outreach, advising, and/or curriculum development.

Application Instructions

The deadline for submissions of applications is October 20, 2024. Applications received afterwards will be considered if the positions are not filled. Candidates must submit their applications electronically at:

An Initial Application Must Include The Following

• A cover letter that summarizes the candidate’s academic achievements, research work, suitability to teach courses in AI, Machine Learning, Deep Learning, Natural Language Processing, or Computer Vision.
• A curriculum vitae (including a publication list).
• A teaching statement that outlines the candidate’s teaching philosophy and experience (maximum 2 pages).
• A research statement that describes the candidate's research interests and projects (maximum 2 pages).
• A diversity statement that explains how the candidate’s personal, academic, and professional experiences position them to address issues of diversity and inclusion in their teaching and mentoring of diverse students (maximum 2 pages).