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Data Analyst Position in Urban Resilience at Aarhus University

2 weeks ago


Århus, Århus Kommune, Denmark Aarhus Universitet (AU) Full time

Company Overview:

Aarhus Universitet (AU) is a world-renowned research-intensive university with a strong commitment to high-quality research and education.

The Faculty of Arts, one of five main academic areas at Aarhus University, is dedicated to producing compelling research with an international resonance and offering teaching and talent development of the highest quality.

This position will be based in the newly established Social Resilience Lab - a fresh and dynamic research group whose aim is to leverage historical and archaeological data to explore the sources of resilience across a vast range of past and present societies against stresses and shocks.


Job Description:

We are seeking a highly skilled postdoctoral researcher to join our team at the Social Resilience Lab. The successful applicant will be responsible for developing the urban data research line within the framework provided by The Model City project.

The appointment will involve a combination of scholarly work, continuous integration into the academic community, and personal and professional development.


Required Skills and Qualifications:

  • a PhD degree or equivalent qualifications in archaeology, history, urban studies, geography, classics, digital humanities or a related field
  • doctoral-level experience in handling humanities, archaeological, or historical data to a high scientific standard
  • good level of knowledge of at least one general-purpose programming language, such as Python, R or similar
  • familiarity with at least one of the Project's research areas (the Roman Empire, Classic Mesoamerica, and Medieval Northern Europe)
  • fluency in written and spoken English
  • description in cover letter or CV of team-playing skills, the ability to constructively collaborate, experience in interdisciplinary work and collegiality


Benefits:

  • pursue vision-driven world-class research as a team
  • ample professional development opportunities including cutting-edge management paradigms, processes and software
  • a working environment that upholds values such as work-life balance, kindness, putting people over product, aiming to create an environment in which all of its members can thrive


Others:

The successful applicant is expected to participate in project activities related to data collection, data management, and analysis and will support other team members in tasks related to data handling.

The position will also involve a limited amount of teaching as agreed upon with the Head of the Department and the project PIs.

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