The Visual Geometry and Modelling (VGM) Research Line at IIT invites qualified applicants to submit their CV’s 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:
Expertise in these research fields is applied to several practical and challenging problems in the industry with ongoing collaboration with world-leading companies in machine vision, automation, energy, avionics, photonics and fashion industries.
We are opening a postdoc position to work on 3D scene understanding with topics related to recent lab achievements in structure from motion (Magerand & Del Bue, ICCV2017 oral), object scene 3D reconstruction (Crocco et al., CVPR 2016), and semantic object 3D localization (Rubino et al., PAMI 2017). As this previous work mainly deal with static scenes, the VGM lab will push forward these activities developing computational methods for geometric and semantic understanding in dynamic and non-rigid environments. The key aspect of the research carried at VGM will focus on the fusion of state of the art deep architectures with 3D reasoning from multi-view images or RGBD data.
Proven scientific track record on major computer vision conferences/journals (CVPR, ICCV, ECCV, TPAMI, IJCV, etc.) is also a relevant criteria for the selection. The candidate will be also involved in Ph.D. students supervision and will collaborate in grant proposal writing. Strong programming skills is a requirement and experience on deep learning is considered a plus.
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 firstname.lastname@example.org quoting “Postdoc VGM position BC 74461” in the email subject.
The call will remain open until the position is filled but a first deadline for evaluation of candidates will be July 16th, 2018
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.
In order to comply with Italian law (art. 23 of Privacy Law of the Italian Legislative Decree n. 196/03), the candidate is kindly asked to give his/her consent to allow IIT to process his/her personal data. We inform you that the information you provide will be solely used for the purpose of assessing your professional profile to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, with its headquarters in Genoa, Via Morego 30, acting as the Data Holder, using computer and paper-based means, observing the rules on the protection of personal data, including those relating to the security of data. Please also note that, pursuant to art.7 of Legislative Decree 196/2003, you may exercise your rights at any time as a party concerned by contacting the Data Manager.
Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce.