[visionlist] Postdoc position in Computer Vision at KAIST, South Korea (3D reconstruction and 3D registration)

[jean-charles Bazin]

Topic: Postdoc position in Computer Vision at KAIST, South Korea, on 3D
reconstruction and 3D registration.



Job description: http://cml.kaist.ac.kr/hiring/CML_postdoc_pdf_3D_v01.pdf

CML lab website: http://cml.kaist.ac.kr/

Prof. Jean-Charles Bazin: http://cml.kaist.ac.kr/pres_jcbazin.html

The Computational Media Lab (CML), led by Prof. Jean-Charles Bazin at
KAIST, has one open postdoc position in Computer Vision to work on 3D
reconstruction and 3D registration. In our research project, 3D data are
acquired by a camera (using multi-view geometry) and also by a handheld 3D
scanner.





#############################################

DETAILED JOB DESCRIPTION AND BENEFITS

==> http://cml.kaist.ac.kr/hiring/CML_postdoc_pdf_3D_v01.pdf

#############################################



SALARY, TERMS AND BENEFITS
------------------------------------------

Salary: 4.5 millions KRW per month (around 4,000 US$).

Contract: one year (renewable, under conditions).

Starting date: September 2018 (flexible until December 2018).

Vacation: 20 days per year.



KAIST provides a wide range of benefits including sports facilities (gyms,
swimming pool, tennis courts, sauna, etc), accommodation, restaurants with
various choices, on-campus clinic, and many more.



Workplace: Computational Media Lab (CML) at KAIST, Daejeon, South Korea.
Daejeon is the fifth largest city of South Korea with a population of over
1.5 million. Daejeon is known as the Silicon Valley of Korea, and hosts
several public and private R&D centers, such as Samsung and LG.



Accommodation ranges from 200$ (on-campus dorm) to around 1000$ (large
family-apartment with 3 bedrooms outside the campus) per month.



Income tax is relatively low in Korea (especially compared to US and
Europe), and Korea has an excellent healthcare system (KAIST even has an
on-campus clinic).




JOB DESCRIPTION
-------------------------

1. You will conduct research on 3D reconstruction and 3D registration. In
our project, 3D data are acquired by a camera (using multi-view geometry)
and also by a handheld 3D scanner. Possible research topics include:

-   Investigate approaches for globally optimal consensus set optimization,
i.e. optimize the number of inliers.

-   Revisiting ICP (Iterative Closest Point) algorithm in terms of surface
continuity.

-   Investigate the combination of the complementary advantages of handheld
3D scanner (high accuracy but low density) and cameras (low accuracy but
very high density).

-    Investigate 3D reconstruction from hybrid data (3D scanner and camera).



2. You will be encouraged to publish in major venues of computer vision
(CVPR, ICCV, ECCV, TPAMI, IJCV), graphics (SIGGRAPH, TOG, TVCG) and machine
learning (ICML, NIPS).



3. You will have the opportunity to co-supervise interns, BS students, MS
students and PhD students.



*References*:

-   "Multiple View Geometry in Computer Vision" by Richard Hartley and
Andrew Zisserman.

-   "A Branch and Bound Approach to Correspondence and Grouping Problems",
TPAMI, 2013

-   "Spatio-Temporal Geometry Fusion for Multiple Hybrid Cameras using
Moving Least Squares Surfaces", Eurographics, 2014.

-   "Consensus Maximization for Semantic Region Correspondences", CVPR,
2018.



POSITION REQUIREMENTS

-----------------------------------
The candidate should have:

-    A PhD in computer science, engineering, mathematics, or other relevant
discipline (if thesis submission is pending, state expected submission
date).

-    A solid background in computer vision, especially 3D reconstruction
from multiple images, multi-view geometry, 3D registration and robust
fitting.

-    Experience with OpenCV and MeshLab.

-    Experience in computer graphics is a plus (for example meshing,
surface optimization and texture maps).

-    A solid publication record in top-tier venues of computer vision
(CVPR, ICCV, ECCV, TPAMI, IJCV) and/or graphics (SIGGRAPH, TOG, TVCG).





ABOUT KAIST

-------------------

KAIST is a world-leading public research university located in Daejeon,
South Korea. KAIST is recognized as a world-class research university. For
example, KAIST is ranked 14th in the world and 5th within Asia in
Engineering and Technology (QS World University Rankings). KAIST is also
ranked 6th in the world and 1st within Asia in the World's Most Innovative
Universities (Reuters). It is also ranked 5th of the world among the
universities that are aged 50 years or under (The Times Higher Education
Rankings).  KAIST is also a global university: more than 80% of major
courses are conducted in English, and international students from more than
70 different countries come to study at KAIST.



ABOUT CML

----------------

Website: http://cml.kaist.ac.kr/

The Computational Media Lab (CML) at KAIST is an interdisciplinary research
group dedicated to the analysis, processing and generation of media
contents with computer algorithms. Examples of our research topics include
video editing, AI (deep learning) for visual data, 3D telepresence,
augmented/virtual reality, and audiovisual media processing. We conduct
research in the fields of computer vision, computer graphics, robotics,
machine learning (deep learning) and multimedia. We invent novel algorithms
and create exciting new applications. We have collaborations and
connections with several universities (MIT, ETH Zurich, NTU Singapore) and
companies (Disney Research, Adobe Research, Samsung), as well as startups.
We publish papers in the premier venues of computer vision (TPAMI, CVPR,
ECCV and ICCV), graphics (TOG, SIGGRAPH, and SIGGRAPH Asia) as well as
robotics (IJRR).



The director of CML is Prof. Jean-Charles Bazin (
http://cml.kaist.ac.kr/pres_jcbazin.html). Before joining KAIST, he was an
Associate Research Scientist at Disney Research Zurich, and at the same
time an adjunct lecturer at ETH Zurich (2014-2016). Before joining Disney
Research, he was a Postdoc and a Senior Researcher at the Computer Graphics
Laboratory (Prof. Markus Gross) and at Computer Vision and Geometry Group
(Prof. Marc Pollefeys) at ETH Zurich (2011-2014). During this time, he was
a member of the Being There Center and was working in collaboration with
Disney Research Zurich. Before working at ETH, he was a Postdoctoral Fellow
at Computer Vision Lab of Prof. Katsushi Ikeuchi, Tokyo, Japan (2010/2011).
He received an MS in Computer Science at Universite de Technologie de
Compiegne, France (2006) and a PhD in Electrical Engineering at Robotics
and Computer Vision Laboratory, KAIST, South Korea (2011).





APPLICATION
------------------
If you want to apply or have any queries about the position, please contact
Prof. Jean-Charles (Director of CML) at bazinjc at kaist.ac.kr. Please provide:

-   CV with the list of publications.

-   A brief research statement (experience and interests).

-   Letter of recommendation (not mandatory, but appreciated).



The applications will start being reviewed on 25 August 2018 and will
continue until a successful candidate is selected.
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