Postdoctoral fellowship in Data Modeling for Translational Research


Postdoctoral fellowship in Data Modeling for Translational Research

A fully funded postdoctoral position is available on the LAS 2.0 project at Department of Oncological Sciences, University of Torino Medical School, Italy.
Application deadline: There is no fixed deadline, we will continue accepting applications until suitable candidates have been found. You will receive an acknowledgement of your application by email within a week’s time.

In 2011, our department started a project, named LAS, addressed to develop a Laboratory Management Information System (LIMS). The Laboratory Assistant Suite (LAS) platform assists biomedical researchers in a broad variety of laboratory activities. Its modular architecture allows managing different kinds of raw data (e.g., biological, molecular) and tracking experimental procedures. While each LAS module handles specific activities or data types, a broader and uniform framework ensures native integration and coherence among the various system components. User interfaces have been designed to be practical in hostile environments, where researchers should minimize their interactions with the system during data entry procedures (e.g., in sterile conditions).

The LAS 2.0 project aims to extend the current platform to provide more flexibility and customization in defining experimental pipelines, normalize and harmonize general concepts and data models applied to different domains, and maintaining consistency among different data-flows and workflows. The new system will integrate a semantic knowledge base that integrates several ontologies covering different domains. The architecture will include reasoning tools and different NOSQL databases (i.e., graph and document databases) to improve the flexibility of the platform.


The postdoc researcher will be members of the LAS project team. More specifically, the researcher will participate in relevant research and development activities connected to the project. For this reason, successful candidates are expected to perform excellent research within Knowledge Bases, Database Modeling, Software Engineering, or related areas. We primarily seek candidates who have a PhD in ICT, with specialization related to the above-mentioned areas. Besides personal qualities and the ability to work in team, we will prioritize candidates based on the following criteria:

  • Strong publication record, with publications in top-level conferences and journals
  • Excellent communication skills – written and oral
  • Ability to work independently and in team

Proficiency in the English language should be documented.

Application submission

Submit your application with CV to
Andrea Bertotti (email:, and
Alessandro Fiori (email:

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