Subject: NA Digest, V. 18, # 34 NA Digest Sunday, August 26, 2018 Volume 18 : Issue 34 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: Dense linear algebra software survey Approximation Theory and Machine Learning, USA, Sep 2018 Computational Mathematics, South Korea, Sep 2018 Hawassa Stat&Math Conference, Ethiopia, Feb 2019 Tenure-Track Position, Mathematical Sciences, Salve Regina Univ Junior Group Leader Position, RICAM, Linz, Austria Research Positions, Oak Ridge National Laboratory Postdoc Position, High-Performance Computational Geophysical Fluid Dynamics Postdoc Position, Parallel-in-time Optimization, Sandia National Laboratories Postdoc Position, Randomized Linear Algebra, UT-Austin Postdoc Positions, Several Areas, Shenzhen Univ Contents, Statistics, Optimization & Information Computing, 6 (3) 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 [log in to unmask] 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 [log in to unmask] 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 [log in to unmask] 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 [log in to unmask] 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 [log in to unmask] 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 [log in to unmask] 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 [log in to unmask] 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 [log in to unmask] 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 [log in to unmask] 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 [log in to unmask] 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 [log in to unmask] 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: [log in to unmask] ------------------------------------------------------- From: Jian Lu [log in to unmask] 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: [log in to unmask]; [log in to unmask] ------------------------------------------------------- From: David G. Yu [log in to unmask] 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 **************************