Lecturer (Teaching and Scholarship) in Music and Data Science

University of Leeds
Leeds, United Kingdom
9 months ago
Applications closed

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Lecturer (Teaching and Scholarship) in Music and Data Science

University of Leeds


Are you an enthusiastic teacher, practitioner or researcher, committed to delivering a first-class learning and teaching experience with a demonstrated ability to teach effectively at undergraduate and postgraduate level? Are you passionate about delivering an exceptional student experience in a research-intensive Russell Group University?


The School of Music seeks to appoint a Lecturer in Music and Data Science to lead and develop our new Masters programme in this area, and to enhance educational provision focusing on data science applications in the music industry. You will offer demonstrable experience across both fields, whether acquired through industry experience, formal training, or active practice, and will bring together technical expertise, cutting‑edge understanding of contemporary applications of data science, and a genuine interest in music education. We particularly encourage applicants with combined experience in data science and digital marketing within the global music industry, whether in recording/streaming, music publishing or live music contexts.


Position Details

  • Mid/Senior level
  • Part‑time
  • Education and Training
  • Higher Education

Responsibilities

  • Teach undergraduate and postgraduate students in your specialist field using a diverse range of methodologies.
  • Carry out teaching, scholarship and management within the School.
  • Contribute to the supervision of student projects and the delivery of our curriculum beyond your specialist area.
  • Lead and develop our new Masters programme in Music and Data Science.

Qualifications

  • Postgraduate degree or relevant professional experience in music, data science, or related fields.
  • Demonstrated ability to teach effectively at undergraduate and postgraduate level.
  • Experience that combines technical expertise in data science with a genuine interest in music education.
  • Experience with data science and digital marketing in the global music industry is highly desirable.

Benefits

  • 26 days holiday plus approximately 16 Bank Holidays/University‑closed days – 42 days a year!
  • Generous pension scheme options plus life assurance.
  • Health and wellbeing: discounted staff membership to The Edge campus gym, pool, sauna, climbing wall, cycle circuit and sports halls.
  • Personal development: access to courses run by our Organisational Development & Professional Learning team.
  • On‑site childcare, shopping discounts and travel schemes.

Contact

Professor Bryan White, Head of School
Email:


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