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2 Postdoc positions on Computer Vision for scene understanding and
social behaviour analysis (2100002Z) [ Jobs ]
Pavis, IIT Genova, Italy


The Pattern Analysis and Computer Vision (PAVIS, https://pavis.iit.it)
Research Line at Fondazione Istituto Italiano di Tecnologia - IIT
invites qualified candidates to submit their applications for two
Postdoc positions in Genoa, Italy under the supervision of Dr. Alessio
Del Bue.
PAVIS mission is to research and deploy novel Artificial Intelligence
(AI) systems to understand our 3D physical space and the human
behaviours within it. The aim is to create assistive AI systems that
can automatically react and support humans in their daily life by
analysing and forecasting activities and their interaction with the
environment. We work towards this goal by developing new Computer
Vision and Machine (Deep) Learning methodologies that can be readily
applied in realistic applications. PAVIS collaborates in EU-funded
international research projects, as well with industrial partners.
Join a team of 30 international Researchers, Postdocs, Ph.D. and
Engineers that enjoy working in cutting-edge Computer Vision and
Machine Learning research topics. PAVIS infrastructure comprises a
multi-modal sensor network (RGB, depth, event-based, thermal, lidar
cameras) used for deploying AI systems for scene understanding and
behavioural analysis and the availability of an HPC with 62 GPU nodes
to run large scale training and deployment of ML models.


Research Topics:
- Object 3D localization from multi-modal sensors;
- Estimation of human proxemics and behaviours from cameras;
- 2D/3D scene understanding using Graph Neural Networks;
- Integrating deep learning models with multi-view geometry reasoning;
- Semantic Simultaneous Localization and Mapping and Structure from Motion;
- Retrieval and Knowledge-based Computer Vision.


Requirements:
- PhD degree in Computer Vision, Machine Learning, Robotics or related fields;
- Relevant scientific track record on major computer vision
conferences/journals (CVPR, ICCV, ECCV, TPAMI, IJCV, etc.);
- Experience in Deep Learning and GNN in particular;
- Good communication skills and ability to cooperate;
- Proficient in English language (written and oral).


Desired but not compulsory:
- Experience in multi-view geometry, 3D vision and scene understanding;
- Experience in tracking, multiple object detection and matching;
- Experience in deploying models on HPC platforms;
- Experience in collaborative software development;
- Good knowledge of tools like GIT and object-oriented programming
languages like Python and/or C/C++;
- Experience in Linux operating system and familiarity with deep
learning libraries and dependencies (CUDA, Pytorch, Pytorch3D,
Tensorflow, Tensorflow3D).


Interested applicants should submit their application in electronic
form at https://iit.taleo.net/careersection/...n&job=2100002Z
The requested documentation includes: a detailed curriculum vitae
outlining experience and qualifications, a cover letter explaining
your interest in PAVIS and your research interests, publication list
or Google Scholar profile, names and contact details of 2 referees
(Deadline May 12th, 2021).


The successful candidate will be offered a highly competitive salary
which will be commensurate with qualifications and experience.
Fondazione Istituto Italiano di Tecnologia - IIT - was founded with
the objective of promoting Italy’s technological development and
further education in science and technology.