NA Digest, V. 18, # 23

NA Digest Sunday, June 10, 2018 Volume 18 : Issue 23


Today's Editor:

Daniel M. Dunlavy
Sandia National Labs
dmdunla@sandia.gov

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From: Jichao Zhao jichao.z@gmail.com
Date: June 09, 2018
Subject: 2018 Cardiac Segmentation Challenge


We want to bring your attention to our ongoing atrial segmentation
challenge (http://atriaseg2018.cardiacatlas.org/), sponsored by
NVIDIA, Arterys, and MedTech Centre of Research Excellence (New
Zealand).

Atrial fibrillation (AF) is the most common sustained heart rhythm
disturbance. The poor performance of current clinical treatment for AF
is due to a lack of basic understanding of the underlying atrial
anatomical structure. Nowadays, gadolinium contrast agency is used in
a third of all MRI scans to improve the clarity of the images of a
patient's internal structures including the heart, by improving the
visibility of often disease associated structures, such as
fibrosis. Gadolinium-enhanced magnetic resonance imaging (GE-MRI) is
widely used to study the extent and distribution of cardiac fibrosis
in clinical studies.

Direct segmentation of the atrial chambers from GE-MRIs is very
challenging due to the fact that the contrast between normal myocytes
of atrial tissue and background is attenuated. Most of the existing
structural analysis studies, especially those that utilize clinical
GE-MRIs, have been based on labour intensive, error/bias prone
approaches. Hence, there is a need for an intelligent algorithm that
can perform fully automatic atrial segmentation, particularly in left
atrium, for accurate reconstruction and visualisation of the atrial
geometry for clinical usage.

This atrial segmentation challenge will provide the largest dataset of
such kind: A total of 154 3D GE-MRIs for training and testing from
patients with AF from multiple institutes. This atrial segmentation
challenge, in conjunction with 2018 STACOM workshop and MICCAI
conference (16 September 2018 in Granada, Spain), has provided an open
competition for wider communities to test and validate their methods
on image segmentation. The exciting development is a very important
step towards patient specific diagnostics and treatment of AF.

The atrial segmentation challenge requires participants to submit
their paper to STACOM workshop (paper submission deadline: 27 June
2018), though the challenge itself will finish on 14 September. For
detailed information including image data and prizes, please check the
link: http://atriaseg2018.cardiacatlas.org/



From: Vincent Acary vincent.acary@inria.fr
Date: June 08, 2018
Subject: Postdoc Position, DAE Systems Analysis, INRIA Grenoble, France


A two-year post-doc position is open at INRIA Rhone-Alpes on
structural analysis of nonsmooth DAE systems.

A complete description and how to apply is available here:

https://jobs.inria.fr/public/classic/en/offres/2018-00651


From: benamou jean-david.benamou@inria.fr
Date: June 07, 2018
Subject: Postdoc Position, Scientific Computing, INRIA-Paris


3D Monge Kantorovich numerical models in Cosmology: Optimal Transport,
Algorithmic on Massively Parallel Computers and Numerical Cosmology.

Full details :
https://team.inria.fr/mokaplan/files/2011/07/POST-DOC-MOKOSMO-English.pdf



From: Stig Larsson stig@chalmers.se
Date: June 07, 2018
Subject: Postdoc Postions, Chalmers Univ of Technology


The department of Mathematical Sciences at Chalmers University of
Technology invites applications for two postdoc positions:

Ref 20180331
Postdoctoral position in Modeling of multiphase flows in porous materials
http://www.chalmers.se/en/about-chalmers/Working-at-
Chalmers/Vacancies/Pages/default.aspx?rmpage=job&rmjob=6363

Ref 20180332
Postdoctoral position in Virtual design of porous materials structures
http://www.chalmers.se/en/about-chalmers/Working-at-
Chalmers/Vacancies/Pages/default.aspx?rmpage=job&rmjob=6364

Deadline: June 28, 2018.



From: Gerlind Plonka-Hoch plonka@math.uni-goettingen.de
Date: June 10, 2018
Subject: PhD/Postdoc Positions, Applied Mathematics, Discovering Structure in Complex Data


The Research Training Group RTG 2088 "Discovering Structure in Complex
Data: Statistics meets Optimization and Inverse Problems" (Speaker:
Prof. Gerlind Plonka-Hoch) at the Georg-August-University Gottingen
offers positions for 7 Ph.D. candidates beginning on October 1st,
2018. The salary is in accordance with the German public service
salary scale (E13 TV-L) with 75% of the regular working hours
(currently 29.85 hours per week) for up to three years.

The research projects in this RTG focus on new mathematical concepts
for the efficient reconstruction and classification of relevant
structural information in data sets, without reconstructing the entire
information inherent in the data. One of the guiding principles of
this RTG consists of discovering and rigorously exploiting structural
a priori information in order to obtain the desired
information. Methodologically, specific emphasis will be laid upon the
interplay between approaches in statistics, optimization and inverse
problems. Most of the proposed PhD projects arise from signal or image
processing applications in biology, medicine or engineering.

Requirements:
- A very good M.Sc.degree (or equivalent) in mathematics or a similar
field;
- A strong background in one of the mathematical disciplines covered
by the RTG (inverse problems, optimization, mathematical statistics,
data analysis, probability theory, computational topology,
mathematical signal and image processing);

- Proficiency in written and spoken English;
- Good programming skills are beneficial.

Detailed information on the application process, the research projects
and the PhD study program are available at http://www.uni-
goettingen.de/de/514290.html. Candidates are required to indicate up
to three preferred projects.

You find the online application platform here:
https://lotus2.gwdg.de/uni/uzdv/perso/knr_100349.nsf

Only applications submitted via the application platform will be
considered in the selection process. Closing date is June 30th, 2018.
For further information please contact plonka@math.uni-goettingen.de.



From: Marek Behr behr@cats.rwth-aachen.de
Date: June 07, 2018
Subject: PhD Position, FEM for complex fluids, RWTH Aachen Univ


The Chair for Computational Analysis of Technical Systems (CATS) [1]
at RWTH Aachen University (Germany) has an immediate opening for a
fully funded Ph.D. position at the intersection of engineering,
applied mathematics, and computer science, to work on novel stabilized
finite- element methods for microstructured and complex fluids.

This position is part of a collaboration between RWTH Aachen
University and The University of Texas at Austin, and will be
co-supervised by Prof. Marek Behr (RWTH) and Prof. Leszek Demkowicz
(UT Austin). Research stays at UT Austin are expected.

The appointment at the payscale TV-L 13 (about 3600 euro per month
gross at the entry level [2]) will be initially for one year, and will
be extended for two extra years upon positive evaluation.

Applications from excellent candidates are invited. To apply, email
the following documents to Prof. Marek Behr (behr@cats.rwth-aachen.de):
- statement of purpose
- detailed CV
- transcripts from your Bachelor and MS degrees
- contact info of at least two references
- pointers to your previous publications and projects (if any)

The review of applications is ongoing and will continue until the
position is filled.

[1]: http://www/cats/rwth-aachen.de
[2]: http://www.cats.rwth-aachen.de/cms/CATS/Der-
Lehrstuhl/Stellenangebote/~qspt/Stelleninfos/lidx/1/

Requirement for this position is a master's degree in CES,
engineering, applied mathematics, computer science, physics, or a
similar subject, with a superior academic record. Practical
programming experience in C or Fortran as well as with parallelization
are of advantage. Familiarity with UNIX operating system would be
ideal. Excellent written and spoken English language skills are
required.


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