PI / FacultyApplications Closed

Lancaster University Leipzig

Leipzig, Germany
Apply by Jul 31, 2023

Application deadline

Jul 31, 2023

Job

Job location

Lancaster University Leipzig

Geocoding

Leipzig, Germany

Geocoding in progress.

Source: legacy

Quick Information

Application Deadline

Jul 31, 2023

Start Date

Flexible

Education Required

See description

Experience Level

Not specified

Job

Job location

Lancaster University Leipzig

Geocoding

Leipzig, Germany

Geocoding in progress.

Source: legacy

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Job Description

Assistant Professor (Lecturer) in Computer Science, Data Science
Lancaster University Leipzig
Salary: €60,722 to €68,051
Closing Date: Monday 31 July 2023
Interview Date: Wednesday 16 August 2023
Reference: 0721-23
Lancaster University Leipzig, Germany

Lancaster University invites applications for one post of Assistant Professor (Lecturer) in Computer Science to join at 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.

The position is to support the upcoming MSc programme in Data Science, and to complement the department’s current research strengths on Intelligent Systems and Artificial Intelligence. The candidate is expected to have solid research foundations and a strong commitment in teaching Data Science topics such as Data Science Fundamentals, Data Mining, and Intelligent Data Analysis and Visualisation.

The ideal candidate should have a completed PhD degree and demonstrated capabilities in teaching, research, and engagement in the areas of Data Science. Candidates should be able to deliver excellent teaching at graduate and undergraduate level, pursue their own independent research, and develop publications in high quality academic journals or conferences. Candidates are expected to have a suitable research track record of targeting high quality journals or a record of equivalent high-quality research outputs.

Colleagues joining LU Leipzig’s computer science department will benefit from a very active research team in Leipzig with a focus on Intelligent Systems and Artificial Intelligence in the wider sense, but will also have access to the research environment at the School of Computing and Communications in the UK. We offer a collegial and multidisciplinary environment with enormous potential for collaboration and work on challenging real-world problems especially.

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.

Please note this role is a full time, indefinite-duration appointment based in Leipzig, Germany. The contract is with Lancaster University Leipzig under German law.

Ideally we would like the appointed candidate to start at latest on 1st January 2024. The opportunity is unique as the role is permanent after a 6-months probationary period, and offers the opportunity of being promoted to associate professor and professor in line with performance. We also support administrative procedures related to settlement in Germany and assistance in finding accommodation, family integration (school registration for children), German training (for you and your partner), and relocation expenses.

Requirements

  • A PhD (or an expectation thereof within a reasonable timeframe) or equivalent in Computer Science or a related discipline
  • A pipeline of research papers suitable for targeting high quality journals or a record of high-quality research outputs.
  • A willingness to engage with an agenda of external research income generation
  • The ability to teach introductory
  • intermediate and advanced material in relevant areas of Computer Science at undergraduate level to a high standard.
  • The ability to undertake appropriate administrative responsibilities to a high standard
  • The ability to work effectively with a diverse group of colleagues and students in a multilingual setting
  • The ability to contribute to the strategic development of teaching in data science

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