Data Research Engineer in Digital HumanitiesEPFL

LausanneTemporary work
Il y a 28 jours

Description du poste

Your mission :
The Time Machine Unit possesses various datasets and documentary collections intended for online accessibility by both the research and public communities. These datasets encompass not only Lausanne but also extend to other cities such as Venice and Paris. Our primary objective involves establishing a web-based platform facilitating access to data sourced from these projects. Additionally, our ongoing efforts are focused on completing the development and launching of a cartographic annotation software. Another key mission entails the creation of a geographic metadata aggregator derived from our collaboration with the Europeana portal. These endeavors, including finalizing the annotation software and consolidating Europeana data, will be conducted in close collaboration with fellow team members: a web developer, a computer science engineer, and a historian.

Main duties and responsibilities include :
  • Design and implement scalable data pipelines to convert, cleanse, integrate, and consolidate data extracted for display in a platform and for sharing.
  • This includes defining appropriate data structures, models and formats for source documents and enrichments, as well as developing large-scale processing workflows.
  • Manage, document, and release code modules and datasets.
  • Engage in participative interface and API design with project team and partners.
  • Contribute to the organisation of annotation and evaluation campaigns
  • Contribute to the organisation of project workshops on the development and adoption of standards for the representation and dissemination of historical data (raw material and annotations).
  • Initiate and/or contribute to scientific publications on data releases, processing, and standards (and more topics if interested).

Description du profil

Your profile :
  • An experienced research data engineer (2-4 years) or programmer with an interest in history and cultural heritage
  • A degree in computer science, data science, software engineering, digital humanities, or a related field (master or PhD), or equivalent professional experience.
  • Proficiency in: Python; JavaScript/HTML/CSS; PhP; geocoding and "Leaflet"; IIIF framework; Unix-based operating systems; database development and use
  • Good understanding of the principles of machine learning.
  • Willingness to write good documentation.
  • Good communication skills.
  • Strong collaborative and team spirit.
  • Autonomous and accountable with a proactive approach.
  • Efficient, committed to deadlines and concerned with production readiness.
  • Knowledge of French (mandatory), English (preferred)
  • Comfortable in an international and multi-cultural context.

Salaire et avantages

We offer :
  • Opportunity to join an experienced and highly motivated interdisciplinary team conducting innovative and relevant research at the intersection of computer science and humanities research.
  • Applied research framework: what you will develop will be deployed in production and directly used by the community of researchers.
  • Work in an interdisciplinary team at the intersection of History, Computer Sciences, Urban History, Digital Humanities
  • Publishing with top international teams and journals
  • Flexible working hours and teleworking.
  • Located in Lausanne, Switzerland, EPFL has a highly international environment, state-of-the-art research facilities, and is consistently ranked among the world's leading institutions in scientific research. Lausanne is a vibrant and cosmopolitan city center in a unique natural environment with great outdoor activities (Jura, Alps, Lake Leman). Salaries and benefits are internationally competitive.

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