Open positions

DHLAB research activities are at the intersection of several domains (historical document processing, historical geographical information systems, interaction design, mathematics, social modelling, big data, etc.) and the lab welcomes people with different backgrounds.

We are currently looking for motivated collaborators to join our team. If your profile combines strong technical and/or academic competences, as well as a curiosity for cultural heritage, interdisciplinary projects, you may want to check our open positions below.

PhD and PostDoc positions

No positions available at this time.

Research Software Engineer positions

AI Research Engineer for 3D imaging of building interiors and privacy-preserving computer vision techniques based on Stable diffusion (80%).

Project: The DHLAB is hiring an AI Research Engineer to work on 3D imaging of building interiors. The project will use (spherical) photogrammetry to create a 3D point cloud model of building interiors, using a pipeline and image acquisition device developed, patented, and validated by the DHLAB for urban contexts. The objective of the project is to develop a pipeline that considers privacy issues from the outset. This is essential due to the private nature of residential interior areas. One of the main directions will be to investigate how modern machine learning and computer vision approaches (in particular architectures such as Stable Diffusion, used for image-to-image translations based on a text prompt) can be used to remove undesirable information from images and point clouds. The goal is to retain only the geometry information of the architectural and structural elements and to remove people, furniture and other non-structural elements from the building.

Context : Two research groups, the Digital Humanities Laboratory from CDH and the Earthquake Engineering and Structural Dynamics Laboratory (EESD) from ENAC, will carry out together this one-year study. It is intended to be the initial phase of a larger project in this area.

Ideal profile:

  • excellent knowledge of Image-to-Image translations and Creative AI algorithms;
  • interest in photogrammetry, cloud points and 3d models;
  • practical experience with Stable Diffusion is a plus.

Duration: January 2023 – January 2024 (with possible extension).

Contact: Prof. Frédéric Kaplan