Subject: NA Digest, V. 18, # 28 NA Digest Sunday, July 15, 2018 Volume 18 : Issue 28 Today's Editor: Daniel M. Dunlavy Sandia National Labs dmdunla@sandia.gov Today's Topics: IR Tools, MATLAB package for Iterative Regularization New Book, Numerical Hamiltonian Problems Symposium Honoring Frank Stenger's 80th, Greece, Sep 2018 ICERM Mathematics of Computation, USA, Nov 2018 IMA Mathematical Challenges of Big Data, UK, Dec 2018 SIAM Computational Science and Engineering, USA, Feb 2019 SIAM Mathematical and Computational Issues in the Geosciences, USA, Mar 2019 Faculty Position, (Financial) Mathematics, NC State Univ Faculty Position, KU Leuven, Belgium Postdoc Position, Randomized Numerical Analysis, NC State Doctoral Positions, Modern Inverse Problems, RWTH Aachen Univ PhD Positions, PharMetrX - Germany, Berlin/Potsdam PhD Positions, Scientific Computing, Emory Univ, Atlanta Contents, Information and Inference: A Journal of the IMA, 7 (2) 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: Silvia Gazzola S.Gazzola@bath.ac.uk Date: July 12, 2018 Subject: IR Tools, MATLAB package for Iterative Regularization We are pleased to announce the release of IR Tools, a new MATLAB software package of iterative regularization methods and test problems for large-scale linear inverse problems. This software can be obtained from: https://github.com/jnagy1/IRtools . A report describing the main features of the software, as well as examples of its usage, can be found at: http://arxiv.org/abs/1712.05602 . This software package serves two related purposes: we provide implementations of a range of iterative solvers, including several recently proposed methods that are not available elsewhere, and we provide a set of large-scale test problems in the form of discretizations of 2D linear inverse problems. All the iterative methods are implemented in a very flexible fashion that allows the problem's coefficient matrix to be available as a (sparse) matrix, a function handle, or an object. The most basic call to all of the various iterative methods requires only this matrix and the right hand side vector; if the method uses any special stopping criteria, regularization parameters, etc., then default values are set automatically by the code. Moreover, through the use of an optional input structure, the user can also have full control of any of the algorithm parameters. The test problems represent realistic large-scale problems found in image reconstruction and several other applications. The size, and other parameters, of these problems can be chosen by the user. ------------------------------------------------------- From: Mari Paz Calvo maripaz@mac.uva.es Date: July 11, 2018 Subject: New Book, Numerical Hamiltonian Problems The book Numerical Hamiltonian Problems (J.M. Sanz-Serna & M.P. Calvo) has now appeared in a Dover edition. ISBN: 978-0-486-82410-9. Further information can be found in the website: http://store.doverpublications.com/0486824101 ------------------------------------------------------- From: Gerd Baumann gerd.baumann@guc.edu.eg Date: July 15, 2018 Subject: Symposium Honoring Frank Stenger's 80th, Greece, Sep 2018 I like to draw your attention to our special symposium in honor of Frank Stenger's 80th birthday. The symposium takes place within the frame of ICNAAM 2018 at Rhodes, Greece, during the period September 13th till 18th, 2018. Talks are welcome and will be published in a special volume dedicated to Frank's anniversary. We also accept contributions to the special volume published by Springer. If you like to join at Rhodes you need to register your talk via the ICNAAM 2018 web site: http://icnaam.org/ Send me a short notice including your title and a few words for an abstract. Information on accommodation and travel are also available from the sites http://icnaam.org/accomodation.htm http://icnaam.org/transfers ------------------------------------------------------- From: Susanne Brenner brenner@math.lsu.edu Date: July 12, 2018 Subject: ICERM Mathematics of Computation, USA, Nov 2018 Announcing a Symposium Celebrating 75 Years of Mathematics of Computation ICERM, November 1-3, 2018 The year 2018 marks the 75th anniversary of the founding of Mathematics of Computation, one of the four printed research journals of the American Mathematical Society and the oldest research journal devoted to computational mathematics. The symposium will celebrate this event with invited lectures and poster presentations that reflect the spectrum of research covered by Mathematics of Computation at this juncture of its illustrious history. The first day of the symposium (November 1) is devoted to discrete areas and the other days (November 2-3) are devoted to continuous areas. A reception will be held on November 1. Confirmed invited speakers: Douglas Arnold (U. Minnesota), Andrea Bertozzi (UCLA), Wolfgang Damen (U. South Carolina), Qiang Du (Columbia), Betinna Eick (TU Braunchweig), Bjorn Enquist (UT Austin), Vivette Girault (Paris VI), Frances Kuo (U. New South Wales), Gunter Malle (TU Kaiserslautern), Peter Monk (U. Delaware), Richardo Nochetto (U. Maryland), Andrew Odlyzko (U. Minnesota), Stanley Osher (UCLA), Carl Pomerance (Dartmouth), Yousef Saad (U. Minnesota), Renate Scheidler (U. Calgary), Rene Schoof (U. Rome), Jie Shen (Purdue), Chi-Wang Shu (Brown), Olof Widlund (Courant), Paul Zimmermann (INRIA). All participants will have the opportunity to present their work with posters. Application information can be found at https://icerm.brown.edu/topical_workshops/tw18-7-ymc/ ------------------------------------------------------- From: Pamela Bye pam.bye@ima.org.uk Date: July 10, 2018 Subject: IMA Mathematical Challenges of Big Data, UK, Dec 2018 3RD IMA CONFERENCE ON THE MATHEMATICAL CHALLENGES OF BIG DATA Monday 10th - Tuesday 11th December 2018 Double Tree by Hilton Hotel London - West End Data-driven analysis is increasingly on the critical path for performance advantage in many organisations, both public and commercial. This raises continuous challenges for rigorous analysis to derive reliable insights from data at very large scale, often with potential artefacts and sampling bias, adding to change variation. This conference brings together researchers and practitioners to signpost developments in the state-of-the-art and find common ground where theory and practice meet to maximise impact in the digital economy. It is a forum for networking and to showcase the very latest research in a broad range of topics. Each session will feature an invited talk by an expert speaker. Invited Speakers: Sofia Olhede, UCL; Coralia Cartis, Oxford University; Christian Steinruecken, Cambridge University; Armando Vieira, Direct Line; Noel-Ann Bradshaw and Serge Plata, Sainsbury's Argos Papers will be accepted for the conference based on a 300-500 word abstract for oral or poster presentation. We welcome abstracts to be submitted by Friday 28 September 2018 via https://my.ima.org.uk. Please indicate whether your title is intended for oral or poster presentation. Note: If you are an IMA Member or you have previously registered for an IMA conference, then you are already on our database. Please :request a new password" using the email address previously used, to log in. For further information, please visit the conference webpage: https://ima.org.uk/9104/3rd-ima-conference-on-the-mathematical-challenges-of-big-data/ ------------------------------------------------------- From: Luke Olson lukeo@illinois.edu Date: July 10, 2018 Subject: SIAM Computational Science and Engineering, USA, Feb 2019 As co-chairs of the SIAM CSE19 Conference, we're writing to encourage you to submit proposals for minisymposia and minisymposteria, abstracts for minisymposium and contributed talks, and poster abstracts. We also encourage students, postdocs, and early career researchers to apply for travel grants. The deadlines are coming up soon! SIAM Conference on Computational Science and Engineering (CSE19) Spokane Convention Center, Spokane, Washington, USA February 25-March 1, 2019 Plenary Speakers Alistair Adcroft, National Oceanic and Atmospheric Administration Anima Anandkumar, Amazon and California Institute of Technology Maryam Fazel, University of Washington Michael C. Ferris, University of Wisconsin-Madison Boyce E. Griffith, University of North Carolina-Chapel Hill Laura Grigori, INRIA Paris Gianluigi Rozza, SISSA University Rachel A. Ward, University of Texas at Austin and Facebook The Call for Presentations for this conference is available at: https://www.siam.org/conferences/CM/sd/cse19-submissions-deadlines Twitter hashtag: #cse19 July 25, 2018: Minisymposium Proposal Submissions August 22, 2018: Contributed Lecture, Minisymposia, Poster and Minisymposteria Presentation Abstracts August 8, 2018: SIAM Student Travel Award and Post-doc/Early Career Travel Award Applications*** Please visit http://www.siam.org/meetings/cse19/submissions.php for detailed submission information. For additional information, contact the SIAM Conference Department (meetings@siam.org). ------------------------------------------------------- From: Sorin Pop sorin.pop@uhasselt.be Date: July 11, 2018 Subject: SIAM Mathematical and Computational Issues in the Geosciences, USA, Mar 2019 The next SIAM Mathematical and Computational Issues in the Geosciences will be held in Houston (US), March 11-14 2019. You are warmly welcome to join and submit a contribution (poster or presentation format) or to organise a minisymposium. For more information, please, visit https://www.siam.org/conferences/CM/Main/gs19 ------------------------------------------------------- From: Stephen L Campbell slc@ncsu.edu Date: July 09, 2018 Subject: Faculty Position, (Financial) Mathematics, NC State Univ The Mathematics Department at North Carolina State University invites applications for a tenure track position to work with our Financial Mathematics program. We are seeking exceptionally well-qualified individuals with research interests compatible with those in the department. All areas of financial mathematics broadly defined including Applied Probability and Stochastic Processes and their computational aspects will be considered. Candidates must have a PhD in the mathematical sciences or related area. Successful professional experience past the PhD is required. The successful applicant must have an internationally recognized research program, demonstrated ability to attract external funding, a strong record of mentoring PhD students and post-docs, and a commitment to effective teaching at the undergraduate and graduate levels. The position level is open-rank and depends on the experience and accomplishments of the applicant. The Department of Mathematics has strong research programs in both pure and applied mathematics. Many members of the department participate in interdisciplinary programs and research groups on campus and in the broader Research Triangle community including the Statistics Department in the same building. More information about the Mathematics Department can be found at http://math.sciences.ncsu.edu and about the Financial Mathematics Program at https://financial.math.ncsu.edu. Submit application materials at http://www.mathjobs.org/jobs/ncsu. Include a curriculum vita, at least three letters of recommendation, and a description of current and planned research. Applications received by November 1, 2018, will receive full consideration. Write to math-jobs@math.ncsu.edu for questions concerning this position. NC State University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity, age, sexual orientation, genetic information, status as an individual with a disability, or status as a protected veteran. NC State University is especially interested in qualified candidates who can contribute, through their experience, research, teaching and/or service, to the diversity and excellence of the academic community. The university is responsive to the needs of dual career couples. The university is responsive to the needs of dual career couples. Individuals with disabilities requiring disability-related accommodations in the application and interview process, please call 919-515-3148. ------------------------------------------------------- From: Stefan Vandewalle stefan.vandewalle@kuleuven.be Date: July 10, 2018 Subject: Faculty Position, KU Leuven, Belgium Faculty Position on Numerical Methods in Data Science Research Unit Numerical Analysis and Applied Mathematics KU Leuven, Belgium The research unit NUMA, Department of Computer Science, KU Leuven invites applications for a full-time faculty position. The research unit develops numerical methods, algorithms and software for simulation and data analysis, with applications in many fields in science and engineering. Research topics include numerical linear algebra, numerical methods for data analytics, model order reduction, control and optimization methods, multi-scale modelling and simulation, high performance computing, and uncertainty propagation. The new position will complement the existing expertise on numerical methods and its applications of the NUMA Section, and will focus on new application modelling techniques and on new numerical algorithms and computational mathematics for Data Science. The position will aim at translating real-world problems to mathematical engineering models, and will be driven by practical applications and data-sets from the industry. For further details, contact information and a description of the application procedure follow the link: https://www.kuleuven.be/personeel/jobsite/jobs/54589509?hl=en&lang=en For more information, please contact the head of the department, Ronald Cools, or the head of the research unit, Dirk Roose. ------------------------------------------------------- From: Pierre Gremaud gremaud@ncsu.edu Date: July 09, 2018 Subject: Postdoc Position, Randomized Numerical Analysis, NC State The Department of Mathematics at NC State University has an open postdoctoral position under its new NSF funded Research Training Group RTG, DMS-1745654 in Randomized Numerical Analysis. The position is restricted to US citizens, nationals and permanent residents. The postdoctoral associate must hold a PhD in mathematics or a closely related discipline awarded after January 1, 2017. An exception to this rule, occasioned for instance by a career interruption, may be requested in the cover letter. The postdoctoral associate is expected to engage in research related to at least one of the three complementary research thrusts of the project in randomized numerical linear algebra, random nonlinear solvers and global sensitivity analysis. Strengths in applied probability, numerical analysis and scientific computing are an asset. Based on background, experience and interests, the postdoc will be assigned one research mentor from the faculty associated with the RTG: Alen Alexanderian, Pierre Gremaud, Ilse Ipsen, Tim Kelley, Arvind Saibaba and Ralph Smith. An academic mentor will be chosen from this group to oversee the postdoc's training and professional development. The postdoc will also play a leading role in mentoring students associated with some of the project's working groups; he/she will be expected to assist in organizing seminars and activities related to the general research of the RTG. In addition, the postdoc will teach on average one course per semester in the Department of Mathematics. This position is for a term of up to three years, contingent upon performance. The starting date is anticipated between January and August 2019. The 11 month salary of $62,500 includes summer support. In addition, the postdoc will be given an annual travel budget of $3,000. Submit your application materials (cover letter, a CV, a research statement and the names of at least three potential letter writers) through mathjobs.org at https://www.mathjobs.org/jobs?joblist-177-12087. Women and members of under-represented minority groups are particularly encouraged to apply. Applications will be evaluated on a rolling basis until the position is filled; please apply as soon as possible. Inquiries may be directed to Pierre Gremaud (RTG Director): gremaud@ncsu.edu. ------------------------------------------------------- From: Graduate School AICES schiffers@aices.rwth-aachen.de Date: July 09, 2018 Subject: Doctoral Positions, Modern Inverse Problems, RWTH Aachen Univ The International Research Training Group (IRTG) "Modern Inverse Problems: From Geometry and Data to Models and Applications" (MIP) at RWTH Aachen University offers 13 doctoral positions for a three-year structured program. The positions are funded by the German Research Foundation (DFG) at the payscale TVL 13 (100%). Funding is for 3 years, starting on October 1st, 2018. MIP currently offers open positions in the research fields of: 1) Novel Stabilized Finite-Element Methods for Microstructured and Complex Fluids; 2) Computational Tools for Chemical Imaging; 3) Model-Based Generation of Linear Algebra Software; 4) Boundary Conforming Smooth Spline Spaces for Isogeometric Analysis; 5) Metric-Based Anisotropic Adaptation for Optimal Petrov-Galerkin Methods; 6) Methods for Demand-Side-Management in Process and Chemical Industry; 7) Numerical Reconstruction Techniques for the Boltzmann Equation; 8) Model Order Reduction for Goal-Oriented Bayesian Inversion; 9) Model-Controlled Bayesian Inversion for Geophysical Inverse Problems Requirements: A Master degree (or an equivalent degree) in a relevant field; Transcripts for the Bachelor and Master's degrees; Excellent written and oral communication skills in English. Knowledge of German is not expected. All applications must include the following documents: - curriculum vitae - statement of purpose - transcript(s) and degree(s) from universities previously attended - at least two letters of recommendation - TOEFL score or other evidence of English skills Please submit your application as a PDF via e-mail with subject "IRTG 2379 Admission" and your preferred research topic, to: admission@aices.rwth-aachen.de For further information, see https://www.aices.rwth-aachen.de/en/irtg/about-irtg ------------------------------------------------------- From: Cornelia Böhnstedt cornelia.boehnstedt@fu-berlin.de Date: July 12, 2018 Subject: PhD Positions, PharMetrX - Germany, Berlin/Potsdam Call for applications within the interdisciplinary PhD program PharMetrX. The Graduate Research Training Program PharMetrX: Pharmacometrics & Computational Disease Modelling is an interdisciplinary PhD program bridging pharmacy and mathematics. It aims at understanding the drug-patient-disease interaction by analysing data of drug concentration, effect and disease profiles of pre-clinical/clinical trials and of therapeutic care. We are currently inviting applications to start the PharMetrX Research+ Program or the PharMetrX Training+ Program. The PharMetrX Research+ Program (Research + Training + Network) comprises an excellent research environment in the vibrant Berlin/Potsdam area, fascinating and innovative research projects in a highly relevant field, truly transdisciplinary supervision, an individual mentorship from one of the industry partners, a specifically tailored training program of compact modules, a network of peers and a highly competitive 3.5 years fellowship. The PharMetrX Training+ Program (Training + Network) offers a specifically tailored training program of compact modules that convey the foundations in pharmacokinetics & pharmacodynamics, systems biology, statistics etc. as well as a network of peers. It is open for PhD students who have already started their PhD in the field of pharmacometrics or will do so soon. Both programs are open to candidates with a university degree in pharmacy, mathematics/ statistics, bioinformatics, life sciences or medicine. See https://www.PharMetrX.de for further details. Deadline for applications: September 15th, 2018. PharMetrX is a joint program of Freie Universitat Berlin and the Universitat Potsdam, supported by a consortium of global research-driven pharmaceutical companies. ------------------------------------------------------- From: Lars Ruthotto lruthotto@emory.edu Date: July 13, 2018 Subject: PhD Positions, Scientific Computing, Emory Univ, Atlanta Several PhD positions in scientific computing are available in the Department of Mathematics at Emory University. Numerical Analysis and Scientific Computing are among the department's key focus areas. Our graduate program focuses on numerical linear algebra, partial differential equations, optimization, inverse problems and offers excellent research opportunities in these areas and opportunities for interdisciplinary collaborations with leading experts from a variety of disciplines including cardiology, radiology, biostatistics, biomedical engineering, geophysics, and machine learning. For PhD students in Mathematics, a number of five-year scholarships are available. International students are encouraged to apply, and successful candidates will receive visa sponsorship. Incoming students are required to have a BSc degree in mathematics, computer science, or a related field. Applicants with MSc degrees are welcome to apply for admission as 'advanced standing.' More information can be found at http://www.mathcs.emory.edu/Research/Area/ScientificComputing/ Interested candidates should contact compmathphd@emory.edu All applicants must submit an application package consisting of: (1) curriculum vitae and transcripts (2) statement of purpose (3) a minimum of two letters of reference Review of applications will begin immediately and continue until the positions are filled. Anticipated start date is September 1, but other options, such as January 1, are possible. ------------------------------------------------------- From: Charis Edworthy charis.edworthy@oup.com Date: July 13, 2018 Subject: Contents, Information and Inference: A Journal of the IMA, 7 (2) Contents, Information and Inference: A Journal of the IMA, 7 (2) Information and Inference: A Journal of the IMA This issue is available at http://bit.ly/2Lf7YBN When is non-trivial estimation possible for graphons and stochastic block models? Audra McMillan and Adam Smith Algorithms for learning sparse additive models with interactions in high dimensions, Hemant Tyagi, Anastasios Kyrillidis, Bernd Gartner, and Andreas Krause Weighted mining of massive collections of P-values by convex optimization, Edgar Dobriban Fast, robust and non-convex subspace recoverygraphic, Gilad Lerman and Tyler Maunu ------------------------------------------------------- End of Digest **************************