Data Science Lecturer

Vor 4 Tagen


Leipzig, Sachsen, Deutschland Lancaster University Vollzeit

About the Role

Lancaster University invites applications for a post of Assistant Professor (Lecturer) in Data Science to join its exciting new campus in Leipzig, Germany. Located in one of Germany's most vibrant, livable, and attractive cities, the Leipzig campus offers the same high academic quality and fully rounded student experience as in the UK, with a strong strategic vision of excellence in teaching, research, and engagement.

Key Responsibilities

  • Support the upcoming MSc programme in Data Science and complement the department's current research strengths.
  • Deliver excellent teaching at graduate and undergraduate level, pursue your own independent research, and develop publications in high-quality academic journals or conferences.
  • Have a suitable research track record of targeting high-quality journals or a record of equivalent high-quality research outputs.
  • Be part of a very active research team and have access to the research environment at the School of Computing and Communications in the UK.
  • Contribute to a collegial and multidisciplinary environment with enormous potential for collaboration and work on challenging real-world problems.

Requirements

  • Completed PhD degree.
  • Demonstrated capabilities in teaching, research, and engagement in the areas of Data Science.
  • Strong commitment to teaching Data Science topics such as Data Mining, Data Engineering, or Building Big Data Systems.
  • German language skills are not a prerequisite for the role, though we are seeking applicants with an interest in making a long-term commitment to Lancaster University in Leipzig.

What We Offer

  • A full-time, indefinite-duration appointment based in Leipzig, Germany.
  • A contract with Lancaster University Leipzig under German law.
  • The opportunity to be promoted to associate professor and professor in line with performance.
  • Support for administrative procedures related to settlement in Germany and assistance in finding accommodation, family integration, German training, and relocation expenses.

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