Data Science Lecturer

1 month ago

Liverpool, Liverpool, United Kingdom University of Groningen Full time
Join Our Academic Team

We are seeking a highly skilled and motivated individual to join our academic team as a Lecturer in Data Science. The successful candidate will be responsible for teaching and research in the area of Geographic Data Science, with a focus on Human Geography.

Key Responsibilities:

  • Teach and develop courses in Geographic Data Science and Human Geography
  • Conduct research in Geographic Data Science and Human Geography, with a focus on population, health, urban analytics, human mobility, transport, and spatial inequalities
  • Collaborate with colleagues across the School to develop research projects and initiatives
  • Supervise students and contribute to the development of the Geographic Data Science Lab (GDSL) research group

Requirements:

  • PhD in a relevant field, such as Geography, Data Science, or a related discipline
  • Experience in teaching and research in Geographic Data Science and Human Geography
  • Strong research record, with a focus on population, health, urban analytics, human mobility, transport, and spatial inequalities
  • Excellent communication and interpersonal skills

What We Offer:

  • A competitive salary and benefits package
  • The opportunity to work with a talented and diverse team of academics and researchers
  • Access to state-of-the-art research facilities and resources
  • The chance to contribute to the development of the University's research themes, including Digital, 'Starting well, Living well, Ageing well', Personalised health, and Climate Futures

We particularly encourage applications from scholars who identify with groups that continue to be underrepresented and face barriers to inclusion in higher education. We believe that a diverse and supportive environment, bringing different perspectives to our work, allows individuals to thrive and is the best platform for excellent teaching.

The University has the right to close the vacancy early if it is deemed that there have been enough applications received.

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