Website Istituto Italiano di Tecnologia (IIT) - Center for Cultural Heritage Technology
PostDoc on Computer Vision
The IIT center at Ca’ Foscari University in Venice – Center for Cultural Heritage Technology@CàFoscari (CCHT@Ca’Foscari) has the mission to research and promote new technologies and to extend existing techniques for preservation and analysis of the invaluable Cultural Heritage assets managed by cities, galleries, libraries, archives and museums across different fields of art. CCHT@Ca’Foscari is currently seeking to appoint a Computer Vision Postdoc.
The selected candidate will join an interdisciplinary team of researchers, contributing to the development of next generation 3D digitization and machine learning approaches applied to the Cultural Heritage (CH) and Digital Humanities (DH) domain.
Required qualifications:
- A Ph.D. in computer science or related field (with specialization in either computer vision or machine learning);
- Proficiency with programming languages, in particular Python, C/C++ and MATLAB;
- Experience in the 3D computer vision field e.g. 3D reconstruction from RGBD data, photometric stereo, structure from motion, BRDF estimation, structured light systems.
- Publication in major Computer Vision and/or Computer Graphics conferences/journals (e.g. CVPR, ICCV, ECCV, SIGGRAPH, Eurographics, ToG, TPAMI, IJCV, IVC, CVIU).
- Good communication skills and ability to cooperate;
- Proficient in English language (written and oral).
Desirable skills:
- Knowledge of OpenCV, PCL and Open3D libraries;
- Practical experience on Deep Learning algorithms and relevant platforms for geometric learning (e.g. TensorFlow, PyTorch, Theano, Caffe);
- Experience on cultural heritage knowledge 2D and 3D digitization.
The successful candidate will be offered a salary commensurate to experience and skills.
The call will remain open until the position is filled but a first deadline for evaluation of candidates will be October 31 2018. Please send your application to ccht@iit.it and applications@iit.it quoting “CCHT Computer Vision Postdoc – BC 75117” in the e-mail subject. Your application shall contain a detailed CV, a one-page research statement and contact information of two referees.