Head of School (Artificial Intelligence & Computer Science)

apartmentLondon School of Business and Finance placeToa Payoh scheduleFull-time calendar_month 

Head of School (Artificial Intelligence & Computer Science)

Shape the future of AI education. Lead. Innovate. Inspire.

We are seeking an inspiring and forward‑thinking Head of School to lead our Artificial Intelligence and Computer Science disciplines. This is a strategic academic leadership role suited for individuals passionate about teaching, research, and innovation—especially in areas shaping the future of technology.

If you have deep expertise in AI, big data analytics, deep learning, machine vision, robotics, or related computer science domains, and enjoy guiding both students and faculty toward excellence, we want to meet you.

What You Will Do

As Head of School, you will play a pivotal role in driving academic quality, inspiring faculty, and shaping the learning journey of future AI and tech professionals.

Academic & Curriculum Leadership
  • Lead the delivery of high‑quality, industry-relevant academic programmes.
  • Develop curricula, assessments, and learning materials that reflect the latest advancements.
  • Ensure programmes stay innovative, relevant, and aligned with industry expectations.
Faculty & School Management
  • Oversee faculty recruitment, mentoring, staffing, and performance management.
  • Plan modules and timetables to ensure smooth academic operations.
  • Foster a culture of collaboration, teaching excellence, and continuous improvement.
Student Experience
  • Champion a student‑centred learning environment.
  • Guide student induction, engagement, and academic support initiatives.
  • Drive initiatives that enhance learning outcomes and student success.
Industry, Quality & Operations
  • Strengthen relationships with industry partners, alumni, and key stakeholders.
  • Oversee accreditation processes and uphold academic quality standards.
  • Manage school budgets, resources, and laboratory planning.
  • Represent LSBF in academic and professional forums, enhancing the School’s profile.

Teaching

Candidates should be able to teach 2–3 subjects from the following list:

  1. Machine Learning
  2. Knowledge Graphs
  3. Data Mining
  4. Robotics
  5. Knowledge Representation & Reasoning
  6. Autonomous & Autonomic Intelligent Systems
  7. Data Analytics & Artificial Intelligence
  8. Effective Research & Professional Practice
  9. Artificial Intelligence Planning
What We’re Looking For
  • A PhD (or equivalent) in Artificial Intelligence, Computer Science, or a relevant field.
  • Strong track record in teaching, academic leadership, and programme management.
  • Demonstrated expertise in one or more AI/CS specialisations listed above.
  • A collaborative leader with strong communication and people‑management skills.
  • Strategic thinker passionate about academic excellence and student success.
  • Committed to continuous learning and staying updated with technological advances.
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