[Jobinfo] Fwd: [Members] [General] Fraunhofer IGD - ESR 3 year PhD position in image processing and 3D reconstruction
Mon Jun 16 15:47:02 CEST 2014
-------- Original Message --------
Subject: [Members] [General] Fraunhofer IGD - ESR 3 year PhD position
in image processing and 3D reconstruction
Date: Mon, 16 Jun 2014 10:41:25 +0200
From: <eurographics@eg.org>
To: <general@eg.org>
Fraunhofer IGD - ESR 3 year PhD position in image processing and 3D
reconstruction
Job Vacancy to be found under Ref. No. 33936585 under
http://ec.europa.eu/euraxess/
For enquiries: pedro.santos@igd.fraunhofer.de
Full Time Marie Curie Early Stage Researcher Positions in the fields of
Computer Science to work on image processing and 3D reconstruction of
cultural heritage artifacts
Applications are invited from candidates who possess the necessary
qualifications in order to fill one (1) full time Marie Curie Early
Stage Researcher (ESR) Fellow Position within the Competence Center for
Cultural Heritage Digitization at Fraunhofer Institute for Computer
Graphics Research in Darmstadt, Germany. The selected Marie Curie ESR
will work for 36 months within the ITN-Digital Cultural Heritage
(ITN-DCH: www.itn-dch.eu) Marie Curie ITN Programme which, is the only
EU funded programme bringing together fourteen (14) leading European
Institutions as full partners and nine (9) other as associated partners
in a transnational network, aiming at implementing a multidisciplinary
and intersectorial research and training programme between the academic
and the industrial partners.
Description:
Cultural Heritage (CH) is an integral element of Europe and vital for
the creation of a common European identity and one of the greatest
assets for steering Europe's social, economic development and job
creation. However, the current research training activities in Cultural
Heritage are fragmented and mostly design to be of a single-discipline,
failing to cover the whole lifecycle of Digital Cultural Heritage (DCH)
research, which is by nature a multi- disciplinary and intersectorial
research agenda. ITN-DCH aims for the first time worldwide that top
universities, research centers, industries and CH stakeholders,
end-users and standardized bodies will collaborate to train the next
generation of researchers in DCH. The project aims to analyze, design,
research, develop and validate an innovative multi-disciplinary and
intersectorial research training framework that covers the whole
lifecycle of digital CH research for a cost--effective preservation,
documentation, protection and presentation of CH. ITN-DCH targets
innovations that covers all aspects of CH ranging from tangible (books,
newspapers, images, drawings, manuscripts, uniforms, maps, artifacts,
archaeological sites, monuments) to intangible content (e.g., music,
performing arts, folklore, theatrical performances) and their
inter-relationships. The project aims to boost the added value of CH
assets by re-using them in real application environments (protection of
CH, education, tourism industry, advertising, fashion, films, music,
publishing, video games and TV) through research on (i) new
personalized, interactive, mixed and augmented reality enabled
e-services, (ii) new recommendations in data acquisition, (iii) new
forms of representations (3D/4D) of both tangible /intangible assets and
(iv) interoperable metadata forms that allow easy data exchange and
archiving. One ESR will be recruited by the host organization at the
Competence Center for Cultural Heritage Digitization at Fraunhofer
Institute for Computer Graphics Research in Darmstadt, Germany
Position ESR7:
One ESR to be recruited by the host organization of the Competence
Center for Cultural Heritage Digitization at Fraunhofer Institute for
Computer Graphics Research in Darmstadt, Germany for the duration of 36
months under full employment contract. The selected candidate's contract
can be extended up to 60 months when desired and if performing well.
The fellow will perform research along the following lines:
We are looking for a motivated early stage researcher to join our group
and help us achieve fast and economic mass digitization of 3D cultural
heritage artifacts by automation and parallel processing technologies
from images or videos. This objective implies the sub-goals of
optimizing performance and parallelism, accuracy, robustness and
scalability of 3D reconstruction algorithms. The position will be
tightly linked with research challenges in the computer vision domain,
especially optical flow and feature recognition techniques, as well as
development of parallel, multi-core and GPU-based technologies to speed
up 3D photogrammetric reconstruction techniques. Drawing from a data
pool of highly unstructured videos and still images, one of the
challenges will be making the algorithms robust to changes in
background, various lighting situations and optical degradation of input
data, thus experience in automated data selection and filtering
methodologies is vital.
The required competence and experience is as follows:
Knowledge in the field of computer vision and image processing is
recommended, including the tasks of background extraction, robust
separation of dynamic and static content, drawing from methods of
optical flow and 2D features, as well as feature- and marker-based tracking.
3D reconstruction will be based on photogrammetric approaches, and thus,
knowledge and experience in 3D/4D-reconstruction techniques based on
videos and images, using Photometric Stereo and Multi-view Stereo, e.g.,
and other photogrammetric methods is recommended.
We also want to process image streams to do 3D reconstruction of dynamic
content, so experience in video streaming and stream decomposition into
frames is useful.
Furthermore, knowledge of parallelization techniques is welcome, such as
methodologies for multi-threading, multi-core and multi-GPU computation,
as well as out-of-core computation, as handling of large amounts of data.
The position will be tightly coupled with active research and practical
implementation within a large software framework, which is why we
require experience in scientific work and publication. From the
implementation side, excellent programming skills in C++ and optional
Java, and GLSL or OpenCL, as well as experience with cross-platform
build systems such as cmake are an absolute requirement.
Since we will be working intensely in a team, excellent proficiency in
the English language is mandatory, and knowledge of the German language
is encouraged.
Professional experience in the industry and/or with previous EU projects
is welcome.
The ESR is expected to present his/her research results on project
meetings, international conferences and in scientific publications and
to contribute to patents applications.
Research Fields
Computer Science, Computer Vision, Photogrammetry, Computer Graphics,
Parallel CPU/GPU Computing
Career Stage
Early stage researcher or 0-4 years of experience (Post graduate) --
According to the FP7-PEOPLE (Marie Curie Actions) Regulations.
Eligibility rules for the Marie Curie fellows can be found at the
FP7-PEOPLE 2013 Work programme:
http://ec.europa.eu/research/mariecurieactions/documents/about-mca/actions/itn/marie-curie-actions-fellowships-people-wp-201301_en.pdf
Research Profile
Recognized Researcher (R2)
Benefits
. Competitive salary to cover living and, mobility costs, social and
health insurance (according to the FP7-PEOPLE Marie Curie Actions
Programme regulations).
. In the context of a personal Career Development Plan,
opportunities for international collaboration and exchanges to
world-class academic and industrial partners will take place.
. Possibility for a PhD fellowship
. Training in a range of state-of-the-art scientific skills,
intellectual property and project management skills.
. Secondment placements within the network's partners (max.
duration 2 months).
For more details on salary and other benefits please refer to the
FP7-PEOPLE Marie Curie actions website at:
http://ec.europa.eu/research/mariecurieactions/careers_en.htm and
the FP7-PEOPLE ITN2013 work programme:
http://ec.europa.eu/research/mariecurieactions/documents/about-mca/actions/itn/marie-curie-actions-fellowships-people-wp-201301_en.pdf
Applicants are requested to submit the following:
1. Detailed Curriculum Vitae with all the certified copies of
their awards translated in English.
2. Motivation Letter
3. Official transcripts of grades from all academic
institutions of higher education listed in his/her application,
certified copies of degrees, or/and certifications of fulfillment of the
required obligations for entering a graduate PhD programme
4. Official certified copies of titles and documents in English
5. Names of three referees who, upon request, can provide
recommendation letters
6. Copies of any related research papers or other significant
work by the applicant
Applications must be submitted in a closed express courier envelope
marked as "Application for Marie Curie ITN-DCH Research Fellow Position"
-- Pedro Santos, Head of Competence Center
Cultural Heritage Digitization, Fraunhofer Institute for Computer
Graphics Research IGD, Fraunhoferstrasse 5 - 64283 Darmstadt -- Germany.
Otherwise it must be sent via regular registered post with a clearly
visible post office stamp of a date not later than 30th of June 2014,
24:00 that is the deadline for the submission of the applications.
Applicants are also requested to send their applications electronically
to these email addresses pedro.santos@igd.fraunhofer.de and
marinos.ioannides@cut.ac.cy before the deadline of 30th of June 2014,
24:00, however, please note that the electronic submission alone will
not be considered as a formal application unless the printed application
is received as requested in the previous paragraph.
For enquiries: pedro.santos@igd.fraunhofer.de
Start of the fellowship: 1st of August 2014
Comment/web site for additional job details
The Applicant should have:
. Master of Science Degree from a recognized university in
Computer Science, Engineering, Mathematics or Physics, Optics,
Archaeology, Geography, Geodesy or any other course providing the
candidate with a background in image processing and/or 3D reconstruction
. Excellent knowledge of the English language at a
proficiency level (spoken and written) is required, Knowledge of German
is encouraged.
More information:
. http://www.igd.fraunhofer.de
. http://www.cultlab3d.de
Requirements
- The ESR candidate, at the time of recruitment, must not
have resided (or carried out his/her main activity e.g. work, studies,
etc.) in Belgium (host country), for more than 12 months in the last 3
years immediately prior to the reference recruitment date!
(See also:
http://ec.europa.eu/research/mariecurieactions/documents/about-mca/actions/itn/marie-curie-actions-fellowships-people-wp-201301_en.pdf)
- The EST must not have PhD yet.
- Required Education Level
Degree Scientific Master Degree or equivalent, as described above
Degree Field Computer Science, Engineering, Mathematics or Physics,
Optics, Archaeology, Geography, Geodesy, Image processing
Required Languages
Language ENGLISH
Language Level Excellent
Additional Languages (optional)
Language German, French
Language Level Good
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