The Marie Skłodowska-Curie Innovative Training Network (H2020-MSCA-ITN) project “Immersive Visual Technologies for safety-critical Applications” (ImmerSAFE) invites applications for two full-time, three-year Early Stage Researcher (ESR) positions to begin January 1, 2018, or as soon as possible thereafter. The available ESR subprojects (“Multi-camera surround view visualisation and multi-modal sensor integration” and “Real-time image processing and analysis of UAV videos for safety-critical applications”) are located at the Faculty of Electrical Engineering and Computing, University of Zagreb, Croatia and the ESRs will be offered 3-year PhD contracts. ImmerSAFE’ main goal is to train multi-disciplinary experts, who will achieve an operational understanding of the core imaging, image processing and analysis technologies and the requirements set to them by the safety-critical applications.

For further information please visit the detailed news content.

 

Two Early Stage Researcher Positions for MSCA-ITN: ImmerSAFE Project

University of Zagreb, Croatia is an active teaching and research community with more than 60,000 students, 29 faculties, and three art academies. Faculty of Electrical Engineering and Computing is the most research-intensive research environment at University of Zagreb and the national leader in computer science research. Image Processing Group was founded in 1996 and has extensive experience in theoretical and applied research in image processing and computer vision with medical, industrial, and automotive applications. Welcome to join us at University of Zagreb!

The Marie Skłodowska-Curie Innovative Training Network (H2020-MSCA-ITN) project “Immersive Visual Technologies for safety-critical Applications” (ImmerSAFE) invites applications for two full-time, three-year Early Stage Researcher (ESR) positions to begin January 1, 2018, or as soon as possible thereafter. The available ESR subprojects (“Multi-camera surround view visualisation and multi-modal sensor integration” and “Real-time image processing and analysis of UAV videos for safety-critical applications”) are located at the Faculty of Electrical Engineering and Computing, University of Zagreb, Croatia and the ESRs will be offered 3-year PhD contracts. ImmerSAFE’ main goal is to train multi-disciplinary experts, who will achieve an operational understanding of the core imaging, image processing and analysis technologies and the requirements set to them by the safety-critical applications.

The focus of the PhD student positions is research into image processing and analysis of immersive visual data. The thesis work will be performed within the ImmerSAFE project, which will include 15 PhD students in 5 countries (Finland, Croatia, Italy, Norway and Sweden). In addition to doctoral studies at University of Zagreb, the recruited PhD students will interact extensively with the 14 partners in the project and will do part of their research as secondments for up to three months at some of the partners premises.

Position 1 (ESR 3)

Research project: Multi-camera surround view visualisation and multi-modal sensor integration

Objectives: Develop multi-damera system for visualization of the surrounding area of a work machine. Develop a methodology for determining the optimal position of cameras for a given work machine. Address problmes related to calibration of the multi-camera system, stitching of images taking into account irregular shapes of a work machine, and varying lighting conditions at each camera resulting in variable brightness, contrast, and white balance. Investigate the use of non-image based sensors (e.g. lidars) as multi-modal sensing tools that can provide 3D map of the surrounding area thereby assisting the developed visualisation algorithms.

Expected outcomes: Methods for determining an optimised spatial camera arrangement for a given work machine. Novel image processing methods for multi-camera stitching. Algorithms for integration of multi-modal sensing into surround view visualisation. Methods for 3D reconstruction of the surrounding area. Algorithms for automatic obstacle detection.

Planned secondments: (1) CrossControl AB, Sweden, familiarisation with interior of a mobile work machine and operator’s preferences/requirements, (2) Beneq Oy, Finland, 3 months, visualising data on transparent displays.

Position 2 (ESR 13)

Research project: Real-time image processing and analysis of UAV videos for safety critical applications

Objectives: Develop methods for real-time detection and tracking of objects in videos obtained from unmanned arial vehicles (UAV) mounted camera(s), taking into account degradation in images due to environmental and atmospheric conditions (e.g. smoke, dust, fog, rain, snow, low-illumination). Investigate the integration of information obtained from images in visible, near-infrared and thermal spectral ranges sensed by multispectral cameras. Develop approaches for integrating video information obtained from multiple UAVs in order to improve visualisation quality under conditions of low visibility. Identify and exploit novel use scenarios of UAV imaging.

Expected outcomes: Methods for real-time detection and tracking of victims, rescue personnel and disaster response vehicles from one or more UAV videos. Novel method for real-time visualisation of a disaster scene augmented with the location of detected people and objects.

Planned secondments: VTT Research Centre of Finland Ltd., Finland, identifying new use scenarios for UAV imaging based on foresight methodologies, Forum for Intelligent Machines (FIMA), Finland, testing UAV imaging solutions in realistic environment.

Research environment:

The employed researchers will be part of the Image Processing Group lead by Prof. Sven Lončarić. The group is a part of the Centre for Computer Vision and the employed researchers will work closely with experts in the area of image processing and analysis. Capability for working in multi-disciplinary and international environment is appreciated.

Research fields:

Image processing, Image Analysis, Computer vision, Computer science, Computational data analysis

Career stage:

Early stage researcher or 0-4 years of post graduate experience.

Requirements:

We are looking for talented, creative and highly motivated researchers. A suitable background for these open positions include image processing, computer vision, software engineering and other related areas. Fluent written and spoken English and proficiency in using scientific software packages such as Matlab and C are required.

Candidates applying for the doctoral student position must hold Master’s degree in computer science, electrical or electronic engineering, computing, information technology or applied mathematics, and the recruited candidates are expected to enroll as doctoral students at Faculty of Electrical Engineering and Computing, University of Zagreb.

Applicants shall, at the time of recruitment by the host organization, be in the first four years (full-time equivalent research experience) of their research careers and not yet have been awarded a doctoral degree. Full-time equivalent research experience is measured from the date when a researcher obtained the degree that would formally entitle him/her to embark on a doctorate.

H2020 MSCA Mobility Rule: at the time of recruitment by the host organization, researchers must not have resided or carried out their main activity (work, studies, etc.) in the country of their host organization (Croatia) for more than 12 months in the 3 years immediately prior to the recruitment date. Compulsory national service and/or short stays such as holidays and time spent as part of a procedure for obtaining refugee status under the Geneva Convention are not taken into account.

Salary:

The salary will be set in accordance with MSCA ESR rates.

Other:

The position will be filled for a fixed term period of three years (36 months). The commencement date will be in January 2018 or as mutually agreed upon by both parties.

 

For further information on the research projects, please contact:

Professor Sven Lončarić
Image Processing Group
Centre for Computer Vision
Faculty of Electrical Engineering and Computing
University of Zagreb
www.fer.hr/ipg
sven.loncaric(at)fer.hr
Mobile: +385 99 8020 627

How to apply:

Applications must be submitted in English by Faculty of Electrical Engineering and Computing online application form. Closing date for applications is 8 December 2017 (24.00 EET / 22.00 UTC). In case no suitable candidates are found, Faculty of Electrical Engineering and Computing reserves the right to re-open the call.

The application should include the following attachments:

  1. Letter of motivation

  2. CV (including list of publications and names and contact details of at least two references)

  3. Copy of MSc + BSc degree certificates including transcripts of all university records and their English translations

 

More information on the project can be found on the following URL: https://immersafe-itn.eu/

 

 

 

 

 
 
 
Author: Sven Lončarić
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