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Lecturer in Data Science (Higher Education)

Aurora Global University
London
Salary Estimate
GBP 45.000 – GBP 65.000
Posting Time
8 Mei 2026
Deadline
8 Mei 2027

Job description

Join Aurora Global University, a premier institution committed to academic excellence and inclusive education. We are seeking a motivated Lecturer in Data Science to deliver engaging undergraduate and postgraduate courses, supervise capstone projects, and contribute to high-impact research.

In this role you will design innovative curricula, develop assessments, and mentor diverse student cohorts. You will collaborate with colleagues across departments to advance program outcomes and support student success.

We offer a competitive salary, flexible working arrangements, and opportunities for professional development and research funding.

Responsibility

  • Deliver engaging lectures and labs for undergraduate and postgraduate data science courses.
  • Design, update, and assess course materials aligned with program outcomes.
  • Supervise capstone projects, theses, and research practicums.
  • Provide timely feedback and support to students to promote academic success.
  • Collaborate on curriculum development, learning technology adoption, and assessment strategies.
  • Engage in scholarly research and publish in relevant venues.
  • Contribute to program accreditation processes and quality assurance.
  • Mentor diverse student populations and support inclusive teaching practices.

Qualification

  • PhD or doctoral equivalent in Data Science, Computer Science, Statistics, or a closely related field.
  • Proven track record of teaching in higher education with a passion for student success.
  • Strong knowledge of data science, machine learning, statistics, and applied analytics.
  • Excellent verbal and written communication and presentation skills.
  • Experience with learning management systems (LMS) such as Moodle and Canvas is preferred.
  • Evidence of scholarly activity and peer-reviewed publications is preferred.
  • Commitment to inclusive and accessible teaching for diverse student populations.
  • Ability to work collaboratively in a multidisciplinary academic environment.

Required Skills

Data Science Machine Learning Statistics Curriculum Design Public Speaking LMS Assessment Research

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