NA Digest, V. 18, # 34

NA Digest Sunday, August 26, 2018 Volume 18 : Issue 34


Today's Editor:

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

Today's Topics: Subscribe, unsubscribe, change address, or for na-digest archives: http://www.netlib.org/na-digest-html/faq.html

Submissions for NA Digest:

http://icl.utk.edu/na-digest/


From: Robert van de Geijn rvdg@cs.utexas.edu
Date: August 23, 2018
Subject: Dense linear algebra software survey


On behalf of The Science of High-Performance Computing group at The
University of Texas at Austin, we are conducting a brief (5-10 minute)
survey. We are interested in learning about your experiences with
dense linear algebra software.

To participate in the survey, please click on the following link:
https://utexas.qualtrics.com/jfe/form/SV_bKLJ7aSmuEdD9ad

It will close at 23:00 UTC on September 10, 2018. Since we all tend to
procrastinate leading to things not getting done, please complete this
survey immediately!

We thank you for your time and look forward to your response. Your
opinion is important to us!



From: Guang Lin guanglin@purdue.edu
Date: August 26, 2018
Subject: Approximation Theory and Machine Learning, USA, Sep 2018


In recognition of the need to provide a firmer theoretical foundation
for some of the spectacular successes of machine learning in the past
several years, Purdue University is hosting a conference on

Approximation Theory and Machine Learning
September 29-30
West Lafayette, IN

The conference will begin with two colloquium style talks, one focused
on approximation theory and the other focused on machine learning,
followed by a variety of related talks. Further details, including
registration and housing information, are at
http://www.math.purdue.edu/calendar/conferences/machinelearning/

Speakers include: Misha Belkin, Ohio State University; David Bindel,
Cornell University; Paul Constantine, University of Colorado, Boulder;
Sanmi Koyejo, University of Illinois; Sven Leyffer, Argonne National
Labs; Mauro Maggioni, John Hopkins University; Yusu Wang, Ohio State
University; Stefan Wild, Argonne National Lab

We are grateful to the Institute for Mathematics and its Applications
for providing partial support, which allows us to provide some travel
funding, with priority for graduate students.

There is no registration fee, but please register through the link
above for an accurate estimate for food and for funding requests.



From: Eun-Jae Park ejpark@yonsei.ac.kr
Date: August 26, 2018
Subject: Computational Mathematics, South Korea, Sep 2018


As a CSE conference series, the Department of Computational Science &
Engineering is organizing the International Conference on
Computational Mathematics - Advances in Computational PDEs during
September 29 - October 2, 2018. The conference aims to provide a
platform to disseminate recent developments in finite element methods
and related methods for various PDEs, enable in October 2, 2018. The
conference aims to provide a platform to disseminate recent
developments in finite element methods and related methods for various
PDEs, enable in-depth technical discussions on a wid wide variety of
major computational efforts in science and engineering, and and foster
the interdisciplinary culture required to meet recent challenges in in
CSE. Further, it is planned to provide a good exposure for students
and you young researchers and encourage them to pursue their research
career in the these areas. Funded by National Research Foundation of
Korea through the the Center for Mathematical Analysis & Computation
(CMAC), Yonsei Uni University.

ABSTRACT SUBMISSION DUE: September 7, 2018 (GMT + 9:00)
EARLY-BIRD REGISTRATION DUE: September 7, 2018 (GMT + 9:00)

Please visit for more information:
https://csedeptyonsei.wixsite.com/iccm2018



From: Anne Kværnø anne.kvarno@ntnu.no
Date: August 23, 2018
Subject: Hawassa Stat&Math Conference, Ethiopia, Feb 2019


After more than a decade of international cooperation between the
University of Hawassa, NTNU and UiO, and in occasion of the conclusion
of the NORAD and NORHED funded joint programme in training and
education in mathematical and statistical modelling, we are please to
announce the

HAWASSA STAT&MATH CONFERENCE
11 February to 15 February 2019
Hawassa, Ethiopia

Major themes:
- Statistical analysis of epidemiological and medical data;
environmental and natural resources data; socio-economical data;
biological data
- Numerical mathematical modelling of hydrological processes;
environmental processes
- Optimization techniques for transportation systems; logistic systems

Plenary speakers:
- Peter Diggle, Lancaster University, England
- Colin Fox, University of Otago, New Zealand
- Dietmar Hoemberg, Weierstrass Institute, Germany
- Laura Palagi, Sapienza - University in Rome, Italy
- Sylvia Richardson, Cambridge University, England

For full information, registration, and abstract submission see:
http://www.hu.edu.et/mathstatconf/



From: Ernest Rothman rothman@salve.edu
Date: August 22, 2018
Subject: Tenure-Track Position, Mathematical Sciences, Salve Regina Univ


The Department of Mathematical Sciences at Salve Regina University
invites applications for a tenure track position at the Assistant
Professor level starting in the fall 2019 semester. The department
offers a major and a minor in mathematics, and an interdisciplinary
minor in mathematical finance. Additionally, the department offers
courses in the core curriculum and courses that constitute the
mathematics, statistics, and computer science components of other
programs at the university. The Mathematical Sciences Department is
in the process of developing a minor in computer science and a program
in data science and analytics. Duties include teaching mathematics at
all undergraduate levels, teaching undergraduate courses in computer
science, advising students, mentoring student research, and serving on
committees. The successful candidate is expected to engage in research
and scholarship with publications in peer-reviewed journals, and/or
grant activity, and to participate in university service and
university outreach programs. Candidates must have an earned
doctorate in Mathematics or Applied Mathematics, evidence of strong
teaching ability, and interdisciplinary interests in computer science,
preferably demonstrated by additional credentials in computer science
(e.g., baccalaureate or master's degree). While candidates with
research interests in any area of mathematics are welcome to apply,
the successful candidate will be able to demonstrate an interest and
ability to help develop a minor in computer science.

Salve Regina University offers generous benefits to eligible employees
including: health and dental coverage, life insurance, long-term
disability, 403B plan, tuition benefits and more. Salve Regina
University strives to provide equal opportunity in employment and
education to all employees, students and applicants. No employee,
student or applicant shall be discriminated against or harassed on the
basis of race, color, national and ethnic origin, sex, sexual
orientation, gender identity or expression, religion, disability, age,
marital or parental status, military or veteran status, genetic
information or any other basis protected by applicable federal or
state law, in the administration of Salve Regina's employment
policies, education policies, admission policies, scholarship and loan
programs, athletic and other University administered programs. In
accordance with Title IX, it does not discriminate on the basis of sex
in any of its educational programs or activities. Salve Regina is also
committed to making its programs and campus accessible to its visitors
and compliant will all applicable non-discrimination laws.

Interested applicants should submit a cover letter, CV, transcripts,
teaching statement, research statement, and 3 letters of
recommendation. Review of applications will begin on November 15, 2018
and will continue until the position is filled. Applicants must apply
online at
https://salve.interviewexchange.com/jobofferdetails.jsp?JOBID=101656
for any open staff and faculty positions by providing a cover-letter
and resume. Pre-employment background checks and reference checks are
required of successful candidates. Salve Regina University
participates in E-verify.



From: Peter Kritzer peter.kritzer@oeaw.ac.at
Date: August 23, 2018
Subject: Junior Group Leader Position, RICAM, Linz, Austria


The Johann Radon Institute for Computational and Applied Mathematics
(RICAM) of the Austrian Academy of Sciences announces the opening of a

JUNIOR GROUP LEADER POSITION (F/M)

in the fields of Mathematical Data Sciences or Life Sciences for a
fixed-term appointment of three years.

Further information is available at
https://www.ricam.oeaw.ac.at/files/jobs/RICAM_Junior_Group_Leader_20180821.pdf


From: Judy Hill hilljc@ornl.gov
Date: August 24, 2018
Subject: Research Positions, Oak Ridge National Laboratory


The Scientific Computing Group in the National Center for
Computational Sciences at Oak Ridge National Laboratory is seeking to
hire a team of Performance Engineers who will serve as liaisons
between the National Center for Computational Sciences (NCCS) and the
users of the NCCS leadership computing resources, particularly
Exascale Computing Project application development teams. We are
looking for strong computer and computational scientists with a strong
background in algorithms, programming models, and high performance
computing architectures and who enjoy collaborating directly with
scientific software teams.

For more information and to apply, visit
https://www.ornl.gov/ornl/careers and search for requisitions
NB50679591 or NB50679586.



From: Frank Giraldo fxgirald@nps.edu
Date: August 23, 2018
Subject: Postdoc Position, High-Performance Computational Geophysical Fluid Dynamics


The Scientific Computing group in the Department of Applied
Mathematics at the Naval Postgraduate School (NPS) is looking to fill
2 postdoctoral positions related to weather and climate modeling. We
are looking for candidates with a background in: large software
development, high-performance computing (GPUs in particular), and
numerical methods for systems of nonlinear hyperbolic partial
differential equations. More information on the application process
can be found here:

http://nrc58.nas.edu/RAPLab10/Opportunity/Opportunity.aspx?
LabCode=62&ROPCD=621002&RONum=B7054

Before you submit an application through the National Research Council
for this research opportunity, you must first be recommended by the
NRC advisors (Frank Giraldo, Jeremy Kozdon, and Lucas Wilcox). In
order to get recommended by us please send a CV with text describing
how your background fits our position, along with contact information
for three references to Frank Giraldo at fxgirald@nps.edu. The next
NRC application window expires on November 1, 2018.

The salary is $62K (US dollars) + travel funds (around $3K per year).
The positions run for 2 years with the possibility for renewal for up
to 4 years (depending on availability of funds). Information about
the National Research Council fellowship at NPS can be found here:
http://nrc58.nas.edu/RAPLab10/Opportunity/Program.aspx?LabCode=62



From: Eric C. Cyr eccyr@sandia.gov
Date: August 20, 2018
Subject: Postdoc Position, Parallel-in-time Optimization, Sandia National Laboratories


We are seeking a Postdoctoral Appointee to join our dynamic team in
developing leading-edge scalable parallel-in-time algorithms for PDE
constrained optimization. Are you passionate about software
development, numerical experimentation, large scale simulation, and
mathematical analysis? Do you dream about working as part of a
multi-disciplinary team where you can thrive in an expanding, dynamic
technical environment? If so, you will want to consider applying for
this opportunity! This position does not currently require a
Department of Energy (DOE)-granted security clearance.

To read the full posting and apply goto:
https://cg.sandia.gov/psp/applicant/EMPLOYEE/HRMS/c/HRS_HRAM_FL.HRS_CG_SEARCH_F
L.GBL?
Page=HRS_APP_JBPST_FL&Action=U&FOCUS=Applicant&SiteId=1&JobOpeningId=663208
&PostingSeq=1


From: Per-Gunnar Martinsson pgm@ices.utexas.edu
Date: August 26, 2018
Subject: Postdoc Position, Randomized Linear Algebra, UT-Austin


Applications are invited for a postdoc position in the Institute
for Computational Engineering and Sciences at the University of
Texas at Austin. The successful candidate will conduct research on
randomized methods in linear algebra. Objectives of the project
include the development of faster methods for computing matrix
factorizations, and for solving linear systems. The research will
involve both theoretical work and practical algorithmic
development. There would also be opportunities for engagement with
specific applications in data analysis and scientific computing.

The position is available to be filled immediately, but the start
date is flexible. The duration of the position would normally be
between 2 and 3 years, but there is flexibility on this point.

Interested candidates are encouraged to contact Gunnar Martinsson
for more details: pgm@ices.utexas.edu


From: Jian Lu jianlu1979@163.com
Date: August 25, 2018
Subject: Postdoc Positions, Several Areas, Shenzhen Univ


Postdoc Positions in Shenzhen University, China
Location: Shenzhen, China
Job Type: Full-Time
Duration: 2 years
Number of Position: 2~3 Positions
Closing Date: Open Until Filled

Description: We are looking for Postdoctoral Researchers in Applied
and Computational Mathematics, Computer Science and related discipline
with extensive experience in the following field(s):
1. Machine Learning (deep learning)
2. Signal and Image Processing/Analysis
3. Computer vision
4. Approximation Methods
5. Computational Harmonic Analysis
6. Optimization
7. Inverse Problems, etc.

Promotors:
- Prof. Jian Lu (Shenzhen Key Laboratory of Advanced Machine Learning
and Applications, College of Mathematics and Statistics)
- Prof. Charles K. Chui (Editor-in-Chief, Applied and Computational
Harmonic Analysis (ACHA), Elsevier.)

The salary is about 270,000 CNY (40,000 US dollars) per year, of which
120,000 RMB per year comes from a local government source as a tax-
free postdoc subsidy. Those who are interested please send their
C.V. to Prof. Dr. Jian Lu, whose contact information is as follows:
Prof. Jian Lu, College of Mathematics and Statistics, Shenzhen
University, Shenzhen 518060, China; e-mail: jianlu@szu.edu.cn;
jianlu1979@163.com


From: David G. Yu david.iapress@gmail.com
Date: August 23, 2018
Subject: Contents, Statistics, Optimization & Information Computing, 6 (3)


Contents,Statistics, Optimization & Information Computing, 6 (3)
This issue is available at http://www.iapress.org/index.php/soic

Preface
Filipe J. Marques, Andriette Bekker, Mohammad Arashi, Preface for the
Special Issue on Computational Techniques in Theoretical and Applied
Statistics

Research Articles
N. Balakrishnan, T. Feng, Proportional Odds under Conway-Maxwell-
Poisson Cure Rate Model and Associated Likelihood Inference

Andriette Bekker, Johan Ferreira, Bivariate gamma type distributions
for modeling wireless performance metrics

Hadi Emami, Sara Kiani, Shrinkage Difference-Based Liu Estimators In
Semiparametric Linear Models

Mohammad Kazemi, Davood Shahsavani,Mohammad Arashi, Variable selection
and structure identification for ultrahigh-dimensional partially
linear additive models with application to cardiomyopathy microarray
data

Filipe J. Marques, On the linear combination of independent logistic
random variables

Noryanti Muhammad, Tahani Coolen-Maturi, Frank P.A. Coolen,
Nonparametric predictive inference with parametric copulas for
combining bivariate diagnostic tests

Celia Nunes, Dario Ferreira, Sandra S. Ferreira, Joao T. Mexia, Limit
distributions for asymptotically linear statistics with spherical
error

Mahdi Roozbeh, Generalized Ridge Regression Estimator in High
Dimensional Sparse Regression Models

A.K.Md. Ehsanes Saleh, M. Norouzirad, On Shrinkage Estimation: Non-
orthogonal Case

I.J.H. Visagie, On parameter estimation in multi-parameter
distributions

Xueyuan Wu, Kam Chuen Yuen, Pengcheng Zhang, Aggregate claim models
with one-way and two-way dependence among individual claims

End of Digest
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