Postdoc position on deep learning for online 3D scene understanding from images - [ Postdoc ]

Workplace: Genova, IIT
Added on: 24/09/2019 - Expires on: 01/11/2019

The Visual Geometry and Modelling (VGM) Research Line at IIT invites qualified applicants to submit their CVs for a Postdoc position in Genoa under the supervision of Dr. Alessio Del Bue.

The VGM mission is to provide computational tools for the large-scale understanding of data from the nano up to the macro scale level. With a privileged focus on image and video data, the main lab goal is to research and apply methods to boost the advances of life scientists and engineers in untangling and modelling the (big) data as provided by modern sensors (e.g. high-resolution cameras, time-lapse microscopy, 3D scanners).

The scientific core of the Line is related to the research fields of Computer Vision, Signal Processing and Machine Learning with the primary goal to provide algorithms for:

  • Reality Capture: 3D reconstruction from images, sound and range data;
  • Dynamic 3D scene understanding from video and other sensor input;
  • Large scale data clustering and modelling for Life Science and Engineering.

This open position is financed in the context of the European Project MEMEX – an interdisciplinary effort to provide Augmented Reality (AR) systems to impact the European society at large.

The candidate will have the opportunity to work on realistic problems involving leading European research centers and companies with the aim to create a novel AR platform able to understand the semantic scene structure of the environment using an RGB video stream from a smartphone.

The research topics on 3D scene understanding are related to the recent VGM achievements in structure from motion, object scene 3D reconstruction, and semantic object 3D localization by integrating deep learning approaches with multi-view geometrical reasoning. Such approaches will leverage massive worldwide geolocalized data as provided by project partners to finally deploy a mobile app that understands and localizes each semantic element in a generic scene.

Proven scientific track record on major computer vision conferences/journals (CVPR, ICCV, ECCV, TPAMI, IJCV, etc.) is a criteria for the selection as well as experience on programming with ARCore and ARKit augmented reality frameworks. Experience on deep learning is considered a plus for this position.

At the time of the application, eligible candidates should have a Ph.D. degree in Computer Vision, Engineering, Robotics or related fields. The successful candidate will be offered a competitive salary commensurate to qualifications and experience.

Please send the application, including a CV with publication list, brief description of research interests and main accomplishments and names of two referees to pavis@iit.it quoting “Postdoc MEMEX position BC 77483” in the email subject.

The call will remain open until the position is filled but a first deadline for evaluation of candidates will be November 1st, 2019. The position will be approved pending signature of the grant agreement 870743 by the European Commission.

Istituto Italiano di Tecnologia (IIT) was established in 2003 and successfully created a large-scale infrastructure in Genova, a network of 10 state-of-the-art laboratories countrywide, recruited an international staff of about 1100 people from more than 50 countries. IIT's research endeavor focuses on high-tech and innovation, representing the forefront of technology with possible applications from medicine to industry, computer science, robotics, life sciences and nanobiotechnologies.

Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce.

Please note that the data that you provide will be used exclusively for the purpose of professional profiles’ evaluation and selection, and in order to meet the requirements of Istituto Italiano di Tecnologia.

Your data will be processed by Istituto Italiano di Tecnologia, based in Genoa, Via Morego 30, acting as Data Controller, in compliance with the rules on protection of personal data, including those related to data security.

Please also note that, pursuant to articles 15 et. seq. of European Regulation no. 679/2016 (General Data Protection Regulation), you may exercise your rights at any time by contacting the Data Protection Officer (phone +39 010 71781 - email: dpo[at]iit.it).

Contacts
Pavis
pavis@iit.it
Involved Research lines
Visual Geometry and Modelling

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