Subject: NA Digest, V. 18, # 51 NA Digest Monday, December 24, 2018 Volume 18 : Issue 51 Today's Editor: Daniel M. Dunlavy Sandia National Labs dmdunla@sandia.gov Today's Topics: New Book, Ordinary and Fractional Approximation by Non-Additive Integrals New Book, The GLOBAL optimization algorithm Hierarchical Matrices, Germany, Mar 2019 Mathematical & Computational Issues in the Geosciences, USA, Mar 2019 British Young Mathematicians' Colloquium, UK, Apr 2019 Optimization and Applications, Morocco, Apr 2019 ETNA 25/Advances in Scientific Computation, Italy, May 2019 IMA Dense Granular Flows, UK, Jul 2019 SPARS Signal Processing, France, Jul 2019 Continuous Optimization (ICCOPT), Germany, Aug 2019 Faculty Position, Applied Statistics, Kent State Univ Faculty Position, Scalable Analyses, Univ Jena, Germany Postdoc Position, Algorithmic Optimization, Trier Univ Postdoc Position, Mathematical Fellowships, SISSA Postdoc Position, Mathematician or Geophysicist Postdoc Position, Micromagnetic Modelling Postdoc Position, Numerical Analysis, Univ of Edinburgh Postdoc Position, for female researchers, TU Wien, Austria Graduate Fellowship Positions, Mathematics, Virginia Tech PhD Position, Direct Solvers for Elliptic Problems, Boise State Univ PhD Position, ML-assisted Hyperspectral Imaging, Edinburgh 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: George Anastassiou ganastss@memphis.edu Date: December 24, 2018 Subject: New Book, Ordinary and Fractional Approximation by Non-Additive Integrals Springer series: Studies in Systems, Decision and Control, 2019 Book title: Ordinary and Fractional Approximation by Non-Additive Integrals: Choquet, Shilkret and Sugeno Integral Approximators Ordinary and fractional approximations by non-additive integrals, especially by integral approximators of Choquet, Silkret and Sugeno types are a new trend in approximation theory. These integrals are only subadditive and only the first two are positive linear, and they produce very fast and flexible approximations based on limited data. We present both the univariate and multivariate cases. The involved set functions are much weaker forms of the Lebesgue measure and they were conceived to fulfill needs of economic theories and other applied sciences. The presented approaches are original, and chapters are self-contained and can be read independently. We exhibit to the maximum our approximation methods to all possible directions. The book's results are expected to find applications in many areas of pure and applied mathematics, especially in approximation theory, numerical analysis and mathematical economics in both ordinary and fractional sense. As such this monograph is suitable for researchers, graduate students, and seminars of the above disciplines, also to be in all science and engineering libraries. ------------------------------------------------------- From: Tibor Csendes csendes@inf.u-szeged.hu Date: December 18, 2018 Subject: New Book, The GLOBAL optimization algorithm The GLOBAL optimization algorithm - Newly Updated with Java Implementation and Parallelization by Balazs Banhelyi, Tibor Csendes, Balazs Levai, Laszlo Pal, and Daniel Zombori This book explores the updated version of the GLOBAL algorithm which contains improvements for a local search algorithm and new Java implementations. Efficiency comparisons to earlier versions and on the increased speed achieved by the parallelization, are detailed. Examples are provided for students as well as researchers and practitioners in optimization, operations research, and mathematics to compose their own scripts with ease. A GLOBAL manual is presented in the appendix to assist new users with modules and test functions. GLOBAL is a successful stochastic multistart global optimization algorithm that has passed several computational tests, and is efficient and reliable for small to medium dimensional global optimization problems. The algorithm uses clustering to ensure efficiency and is modular in regard to the two local search methods it starts with, but it can also easily apply other local techniques. The strength of this algorithm lies in its reliability and adaptive algorithm parameters. The GLOBAL algorithm is free to download also in the earlier Fortran, C, and MATLAB implementations. 2018 / ix + 111 pages / softcover / 978-3-030-02375-1 / Electronic copy 44 Euro See more details at: https://link.springer.com/book/10.1007/978-3-030-02375-1 ------------------------------------------------------- From: Steffen Boerm boerm@math.uni-kiel.de Date: December 20, 2018 Subject: Hierarchical Matrices, Germany, Mar 2019 We would like to announce the next winter school on hierarchical matrices. Date: 4th to 8th of March, 2018 Place: Kiel University, Kiel, Germany Organizers: Wolfgang Hackbusch, Lars Grasedyck, Steffen Boerm Website: https://www.math.uni-kiel.de/scicom/de/veranstaltungen/wshmat2019 Hierarchical matrices offer an efficient approach to handling non-local operators resulting, e.g., from the discretization of integral equations or the inversion of elliptic partial differential equations. They rely on a decomposition of the given matrix into sub-matrices of low numerical rank that can be represented in factorized form. This particular representation allows us to perform operations like the matrix-vector multiplication, the matrix multiplication, inversion, or LR factorization in almost linear complexity. During the winter school, we give an introduction into fundamental concepts, algorithms, and the theoretical background, combined with practical exercises allowing the participants to get acquainted with the basic algorithms. The exercises rely on the open-source library H2Lib (http://www.h2lib.org). Participation is free of chargqe, familiarity with the C programming language is helpful. Please address questions and registration requests to school@hmatrix.org ------------------------------------------------------- From: Maxwell Hayes Hayes@siam.org Date: December 19, 2018 Subject: Mathematical & Computational Issues in the Geosciences, USA, Mar 2019 Conference Name: SIAM Conference on Mathematical & Computational Issues in the Geosciences (GS19) Location: Houston Marriott Westchase, Houston, Texas, U.S. Dates: March 11-14, 2019 Invited Speakers: Gregoire Allaire, Ecole Polytechnique, Paris, France Anatoly Baumstein, ExxonMobil, U.S. Patrick Heimbach, University of Texas at Austin, U.S. Elizabeth Hunke, Los Alamos National Laboratory, U.S. Yunyue Elita Li, National University of Singapore, Singapore Alfio Quarteroni, Polytechnic University of Milan, Italy Registration and Program: Registration and the conference program are now posted at https://www.siam.org/conferences/CM/Main/gs19 PRE-REGISTRATION DEADLINE: February 11, 2019 HOTEL RESERVATION DEADLINE: February 11, 2019 Twitter hashtag: #SIAMGS19 For additional information, contact the SIAM Conference Department at meetings@siam.org. ------------------------------------------------------- From: Alexander Brune bymc@contacts.bham.ac.uk Date: December 24, 2018 Subject: British Young Mathematicians' Colloquium, UK, Apr 2019 The British Young Mathematicians' Colloquium (BYMC) will be hosted for the 4th time at the University of Birmingham. It will be a one-day event taking place on the 17th of April. The conference is aimed at mathematicians from all areas at early stages in their careers (postgraduate students, postdocs, etc.). There will be 6 invited speakers but the majority of the conference will be made up of talks contributed by participants. It is a great opportunity for young researchers to give talks and meet peers. For more information, please visit http://web.mat.bham.ac.uk/BYMC/ or https://fb.me/BYMC2019. ------------------------------------------------------- From: Hanaa Hachimi hanaa.hachimi@uit.ac.ma Date: December 23, 2018 Subject: Optimization and Applications, Morocco, Apr 2019 ICOA2019: International Conference on Optimization and Applications ENSA-UIT Kenitra, Morocco, April 25-26, 2019 https://easychair.org/cfp/ICOA2019 ------------------------------------------------------- From: Lothar Reichel reichel@math.kent.edu Date: December 22, 2018 Subject: ETNA 25/Advances in Scientific Computation, Italy, May 2019 We cordially invite you to attend the conference "Recent Advances in Scientific Computation", which is planned on the occasion of the 25th anniversary of the Electronic Transactions on Numerical Analysis (ETNA). The conference will take place on May 27-29, 2019, at Santa Margherita di Pula outside Cagliari, Sardinia, Italy. A focus of the conference will be new developments in large-scale computation. Many areas will be covered, including image restoration, Krylov subspace iterative methods, preconditioning, matrix functions, the solution of partial differential equations, network analysis, and the solution of ill-posed problems. The conference also will celebrate Fiorella Sgallari's 65th birthday. Further information about the conference, including plenary speakers, special sessions, and how to register, can be found at the web site http://bugs.unica.it/ETNA25 On behalf of the organizing committee Ronny Ramlau, Lothar Reichel, and Giuseppe Rodriguez ------------------------------------------------------- From: Pamela Bye pam.bye@ima.org.uk Date: December 19, 2018 Subject: IMA Dense Granular Flows, UK, Jul 2019 Monday 1 - Thursday 4 July 2019 Centre for Mathematical Sciences, University of Cambridge, UK Flows involving solid particulates are ubiquitous in nature and industry alike. Such flows are found in pharmaceutical production, the chemical industry, the food and agricultural industries, energy production and the environment. Many unsolved problems remain, however. In order to be able to solve problems, granular flows need to be understood so that their behaviour can be controlled and predicted. We are able to describe rapid granular flows, where the particles are highly agitated and there has been some success describing static systems. The intermediate regime, where these two phases meet and coexist, is not as well understood and yet is the most commonly observed behaviour of granular flow. The objective of this meeting will be to interface the two ends of the particulate flow spectrum - those working to understand the fundamentals of granular flows and those attempting to control particulate flows in an industrial setting - to develop solutions to the complex problems presented by dense granular flows. Themes will include dense granular flow, biological systems, self- propelled particles and geological flows, exploring new developments in theoretical analysis and experimental techniques. All attendees will be provided with an opportunity to present recent work and there will be substantial time for discussion, both during the workshop and during the evening! Postgraduate and PhD students are particularly welcomed and oral presentations will reflect the breadth of the field. Invited Speakers: Professor Kimberly Hill (University of Minnesota); Dr Chris Johnson (University of Manchester); Professor Ken Kamrin (MIT); Lydie Staron (Institut le Rond d'Alembert, Paris) Papers will be accepted for the conference based on a 500 word abstract for oral or poster presentation. Abstracts should be submitted by 31 January 2019 via https://my.ima.org.uk. Please indicate whether your title is intended for oral or poster presentation. For further information on this conference, please visit the conference webpage: https://ima.org.uk/10275/3rd-ima-conference-on-dense-granular-flows ------------------------------------------------------- From: Cédric Févotte Cedric.Fevotte@irit.fr Date: December 20, 2018 Subject: SPARS Signal Processing, France, Jul 2019 The 2019 Signal Processing with Adaptive Sparse Structured Representations (SPARS) workshop will be held on the campus of the engineering school ENSEEIHT, in the city center of Toulouse, on July 1-4, 2019. The SPARS workshop will bring together people from statistics, engineering, mathematics, and computer science, working on the general area of sparsity-related techniques and computational methods, for high dimensional data analysis, signal processing, and related applications. In addition to contributed talks, posters & demos, we are pleased to announce the following plenary speakers: Yuejie Chi, Carnegie Mellon University; Emilie Chouzenoux, University Paris-Est; Mark Davenport, Georgia Institute of Technology, Monika Dorfler, University of Vienna, Pier Luigi Dragotti, Imperial College London; Bhaskar Rao, UC San Diego; Simon Thorpe, CNRS; Lenka Zdeborova, CNRS; supplemented by a special talk by Michael Jordan, UC Berkeley. Topics of interest include (but are not limited to): Compressive sensing & learning; Representation learning (sparse coding, dictionary & deep learning); Low-rank approximation, matrix & tensor decomposition; Phase retrieval, inverse problems with sparsity; Sparsity in approximation theory, information theory, and statistics; Bayesian sparse modeling & inference; Optimization theory & algorithms for sparsity; Sparse graph & network analysis; Low-complexity/low-dimensional models; Applications For further information, please visit http://spars-workshop.org/ - Submission deadline: March 13, 2019 - Notification of acceptance: May 15, 2019 - Early-bird registration deadline: June 1, 2019 - Workshop: July 1-4, 2019 ------------------------------------------------------- From: Cecilia Bonetti bonetti@wias-berlin.de Date: December 20, 2018 Subject: Continuous Optimization (ICCOPT), Germany, Aug 2019 We cordially invite you to participate in the Sixth International Conference on Continuous Optimization (ICCOPT). The ICCOPT 2019 will take place on the campus of the Technical University (TU) of Berlin, August 3-8, 2019. The ICCOPT is a flagship conference of the Mathematical Optimization Society (MOS), and preceding editions were organized in Tokyo (2016), Lissabon (2013), Santiago, Chile (2010), Hamilton, Canada (2007), Troy, USA (2004). ICCOPT 2019 is hosted by the Weierstrass Institute for Applied Analysis and Stochastics (WIAS) Berlin. It will include a Summer School (August 3-4) and a Conference (August 5-8) with a series of plenary and semi-plenary talks, organized and contributed sessions, and poster sessions. For more details and online registration, please visit our webpage https://iccopt2019.berlin. We look forward to receiving your contributions and seeing you in Berlin next year! ------------------------------------------------------- From: Lothar Reichel reichel@math.kent.edu Date: December 21, 2018 Subject: Faculty Position, Applied Statistics, Kent State Univ Kent State University's Department of Mathematical Sciences invites applications for a full-time, tenure-track, open rank position in Applied Statistics. The appointment is to begin August 21, 2019. The salary and other conditions of employment are competitive. Qualifications include a Ph.D. in Statistics, or a closely related degree program. Preference will be given to candidates with expertise in Applied Statistics, including Data Science, Large-Scale Data Analysis, Computational Statistics, Actuarial Science, and related areas. Candidates are expected to support the established research strengths of the department as well as to contribute to the interdisciplinary outreach of the department through active collaborations with other disciplines to develop new undergraduate and graduate programs in Statistics. Further details of the position can be found at http://jobslist.kent.edu/cw/en-us/job/496162/faculty-tenure-track9-mo The individual hired for this position will be expected to establish an extramurally funded research program, engage in collaborative research and direct theses and dissertations, and exhibit a commitment to excellence in undergraduate and graduate education. funded research program. For further information about the department, please visit the web site http://www.kent.edu/math. To apply for this position, fill in an application at jobs.kent.edu, and attach a cover letter, a curriculum vitae, a publication list, a research statement, and a teaching statement. In addition, please send at least three (3) letters of reference to: stat-search@math.kent.edu. Questions regarding this position may be also be sent to stat-search@math.kent.edu. Screening of applicants will begin immediately and will continue until the position is filled. Kent State University is an Equal Opportunity/Affirmative Action Employer with a strong commitment to the achievement of excellence and diversity among its faculty, staff, and students. ------------------------------------------------------- From: Martin Buecker martin.buecker@uni-jena.de Date: December 23, 2018 Subject: Faculty Position, Scalable Analyses, Univ Jena, Germany The Institute of Computer Science at Friedrich Schiller University Jena, Germany, invites applications for a tenured professorship in scalable data- and compute-intensive analyses endowed by the Carl Zeiss Foundation. The successful applicant will be appointed as a W2 professor comparable with an associate professor in other systems. There is a tenure track option to W3 (full professorship). Our aim is to bring together data-driven science and computational science. The official announcement (in German) with more details is available at https://www4.uni- jena.de/Universit%C3%A4t/Stellenmarkt/Professuren/Stiftungsprofessur+%28W2+mit+Tenur e+Track+nach+W3%29+der+Carl_Zeiss_Stiftung+mit+der+Ausrichtung+_Skalierbare+daten_ +un\ d+rechenintensive+Analysen_.html The closing date for applications is January 31, 2019. ------------------------------------------------------- From: Martin Schmidt martin.schmidt@uni-trier.de Date: December 20, 2018 Subject: Postdoc Position, Algorithmic Optimization, Trier Univ The Research Training Group (RTG) 2126 "Algorithmic Optimization", funded by the Deutsche Forschungsgemeinschaft (DFG), is accepting applications for a Postdoctoral position (TVL 13, 100%) at Trier University for the period of 1,5 years, starting as soon as possible. The research topics of the RTG are devoted to all mathematical aspects of algorithmic optimization with an emphasis on applications, in particular in large and big data as well as systems models from economics. The candidate has just finished her/his PhD and can demonstrate research ability in the research fields of the RTG in combination with its application fields. She/he is expected to build up a strong publication record and to shape the RTG's research framework actively. Applicants must hold a PhD degree (or equivalent) in mathematics or a strongly related field at the time of hiring. They should be able to communicate in English and should document their interest in the scientific goals of the research program of the research training group (Graduiertenkolleg). Excellent programming skills are a plus. Applications should include: - letter of motivation and a description of the research interests - outline of a lecture series and a workshop proposal - curriculum vitae - two recent letters of reference (in English or German) to be sent directly to the address given below - contact information of at least one additional reference - copies of earned degrees (in German or English translation) - a mathematical writing sample (PhD thesis or preferably a published paper) Applications from researchers of all nationalities are welcome. Trier University strives to increase the share of women in research and strongly encourages women to apply. Trier University is a certified family friendly employer. Provided equal qualifications are demonstrated, applicants with disabilities will be preferred. Please compile all application material into one pdf or zip-file and forward it via e-mail to: Graduiertenkolleg Algorithmische Optimierung Mathematik - FB IV Universitat Trier 54286 Trier, Germany Email: alop@uni-trier.de Subject: RTG ALOP POST DOC For full consideration, applications will be accepted until January 15, 2018, or until the position is filled. ------------------------------------------------------- From: Gianluigi Rozza gianluigi.rozza@sissa.it Date: December 20, 2018 Subject: Postdoc Position, Mathematical Fellowships, SISSA SISSA started a new post-doctoral program in Mathematics: the SISSA Mathematical Fellowships. Every year there will be a yearly call for two 3-years fellowships. The 2019 is now open and the deadline to present the applications is the 8-01-2019 at 1.00 PM Rome time. Appointments will start in September/October 2019 (but different arrangements are possible) The fellowships are not restricted to a specific research theme but are intended to attract promising candidates in all fields of mathematics by providing them with the opportunity to independently pursue their own research as well as to enlarge their research profile by interacting with top- leading scientists. The appointments will last up to three years and will be provided with a competitive salary together with a small research grant that can be autonomously used by the successful candidate. More information can be found here: http://math.sissa.it/content/sissa- mathematical-fellowships ------------------------------------------------------- From: Nicolas Neuss neuss@math.fau.de Date: December 21, 2018 Subject: Postdoc Position, Mathematician or Geophysicist The Friedrich-Alexander-Universitat Erlangen-Nurnberg is looking for a mathematician or geophysicist within the project TAPE "Tapping the Potential of Earth Observation". The project is funded by the University of Erlangen-Nurnberg within its Emerging Field Initiative (EFI). The position is a collaboration between the Institut fur Geographie (Remote Sensing & GIS, Prof. Braun) and the Department of Mathematics (Applied Mathematics, Prof. Bansch). The intended starting date is April 1st, 2019. The employment is limited to 24 months due to availability of project funds with a possibility of extension depending on successful project completion/prolongation or other third-party funding. The employment is full time with 100% of the regular working load. Depending on qualification and personal requirements this position is grouped into Entgelt-/Bes.Gr. E13. Details about the position, the necessary qualification, and the application process can be found here: https://www5.cs.fau.de/files/Ausschreibung_engl_TAPE_MathGEO.pdf ------------------------------------------------------- From: Wyn Williams wyn.williams@ed.ac.uk Date: December 20, 2018 Subject: Postdoc Position, Micromagnetic Modelling Postdoctoral Research Associate in Micromagnetic Modelling School of GeoSciences, The University of Edinburgh Grade 7 Salary 33,199 to 39,609 GBP Applications are invited for a 30 month post-doctoral research associate (PDRA) with extensive computational experience to join the mineral magnetism group at the School of GeoSciences, The University of Edinburgh. The position is funded by the Natural Environmental Research Council award "Determining ancient magnetic field strengths from the Earth and Solar System", which is a collaborative project between Prof Wyn Williams (Edinburgh Univ.), Dr. Adrian Muxworthy (Imperial College), and Prof. John Tarduno (Univ. Rochester). The aim of the project is to better understand the magnetic recording fidelity of 'non-ideal' magnetic domain states and their ability to hold accurate recordings over periods of billions of years. Using the finite-element micromagnetic modelling software MERRILL (www.rockmag.org) you will develop detailed models of magnetic recording characteristics of particles of iron oxides and sulphides. These models will be compiled into a relational data-base and used to simulate 'whole-sample' magnetic recording properties of standard and single crystal paleomagnetic samples. The numerical models will be validated using high-resolution magnetic, mineralogical and tomographic experimental observations from project partners at Imperial College and University of Rochester. You will have a PhD (or near completion) in a physical or computational science with extensive experience of numerical modelling, preferably finite-element modelling and ideally micromagnetic modelling. You should have knowledge of FORTRAN and Python or similar. Experience in parallel programming and database management would be useful but not essential. You should also have a track-record of publishing peer-reviewed research articles in international journals and demonstrate enthusiasm to contribute to the aims of the overall project as part of a wider team. You will also have excellent communication, planning, and team working skills. The position is open from January 2019 with a latest possible start date of April 2019. Please apply at: https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobspec? p_id=045891 Closing date: 3 Jan 2019 ------------------------------------------------------- From: John Pearson j.pearson@ed.ac.uk Date: December 19, 2018 Subject: Postdoc Position, Numerical Analysis, Univ of Edinburgh Applications are invited for a 3-year postdoctoral position as part of an EPSRC project in the area of numerical linear algebra for PDE-constrained optimisation problems, with applications to data science. The successful candidate will join the research group of Dr John Pearson in the School of Mathematics, University of Edinburgh. The project is funded by the EPSRC Grant "Modern Linear Algebra for PDE-Constrained Optimisation Models for Huge-Scale Data Analysis", and by the University of Edinburgh. The successful candidate will contribute to the development of numerical methods and iterative solvers for huge-scale matrix systems arising from optimisation problems with PDE constraints, and will apply their techniques to cutting-edge problems from data science. Experience with PDE-constrained optimisation/inverse problems, and/or numerical methods for PDEs (including numerical linear algebra for solving matrix systems), is desirable. Expertise in a relevant programming language (e.g., Python, C++, MATLAB) is essential. The position should be taken up in September 2019, or an alternative date by mutual agreement. Further particulars, as well as the application link, may be found at tinyurl.com/ybu9qmur. Informal enquiries are encouraged, and may be made to John Pearson at J.Pearson@ed.ac.uk. The closing date for applications is 5pm on 22 January 2019. ------------------------------------------------------- From: Dirk Praetorius dirk.praetorius@asc.tuwien.ac.at Date: December 20, 2018 Subject: Postdoc Position, for female researchers, TU Wien, Austria As part of its endeavor to increase the number of female scientists in mathematics, the Faculty of Mathematics and Geoinformation of TU Wien invites applications for a full-time assistant position (40 hours per week, immediate start, fixed duration of 6 years) for the broad subject "Mathematics". The tasks of the job holder include research and teaching (4 hours per week). The minimum gross salary is 3700 EUR per month (14 times per year) Depending on the research orientation (e.g., analysis and/or numerics of PDEs), the successful candidate will be assigned to Institute for Analysis and Scientific Computing to work with, e.g., Profs. Anton Arnold, Ansgar Juengel, Jens Markus Melenk, Dirk Praetorius, Joachim Schoeberl, or Peter Szmolyan. For further information, please contact one of the named professors by email. Formal requirements: Doctoral degree in the field of mathematics or related subject. The application documents should include a comprehensive curriculum vitae and a research statement (achievements, research plan, relation to current research at TU Wien) of max. 5 to 7 pages. Please send applications by mail or email to Ms. Triebl-Kraus barbara.triebl-kraus@tuwien.ac.at (TU Wien, Personaladministration, Fachbereich wissenschaftliches Personal, Karlsplatz 13, 1040 Wien, Austria). Closing date: January 31, 2019 ------------------------------------------------------- From: Eileen Martin eileenrmartin@vt.edu Date: December 18, 2018 Subject: Graduate Fellowship Positions, Mathematics, Virginia Tech The Virginia Tech Department of Mathematics is announcing several new fellowships to support research activities of exceptional incoming graduate students. All applicants to the graduate program will be automatically considered. Virginia Tech has a wide variety of active research programs in mathematics: inverse problems, analysis, applied numerical analysis, mathematical biology, numerical linear algebra, mathematics education, control and dynamical systems, algebra, high performance computing, mathematical physics, differential equations, fluid dynamics, cryptography, numerical differential equations, geometry, and topology. The application deadlines are January 1 (university-wide graduate school) and January 15 (department-specific). More information on the graduate program can be found here: https://secure.graduateschool.vt.edu/graduate_catalog/program.htm? programID=002d14431ce38e83011ce38e94040020&nocache=153686709 7477 and on the application here: https://graduateschool.vt.edu/admissions/how-to-apply.html ------------------------------------------------------- From: Donna Calhoun donnacalhoun@boisestate.edu Date: December 20, 2018 Subject: PhD Position, Direct Solvers for Elliptic Problems, Boise State Univ I am seeking a talented, highly motivated and independent student interested in pursuing a PhD in Computing, with an emphasis in Computational Science and Engineering, at Boise State University. The potential doctoral candidate would work in Donna Calhoun's group in the Department of Mathematics at Boise State. The proposed project offers an interested candidate the opportunity to work directly at the intersection of the latest developments in numerical methods development, scientific computing, and geophysical hazards modeling. The aim of the proposed project is to develop a parallel, direct solver for elliptic problems on adaptively refined Cartesian meshes. The targeted numerical model is the dispersive correction terms to the shallow water wave equations and the application domain is geophysical modeling for tsunamis generated from landslides, or other mechanisms where short wave lengths are a dominant and significant feature. The numerical approach to be taken uses a block-structured adaptive mesh refinement (AMR) where logically Cartesian grids are used as patches in the AMR hierarchy. On each patch, finite volume schemes based on the wave propagation algorithms in Clawpack (http://www.clawpack.org) are used for hyperbolic terms. The elliptic solver will be based on the low-rank Hierarchical-Poincare-Stekhlov (HPS) method developed by P. G. Martinsson and A. Gillman (SIAM J. Sci. Comput., Vol. 36 (4) 2014). The parallel adaptive framework for this project is based on the ForestClaw code (http://www.forestclaw.org), developed by D. Calhoun. The interested candidate should have a background in applied mathematics and scientific computing, and should demonstrate experience and/or a strong desire to work on development of numerical methods and software in a C/C++/Fortran programming environment. Strong candidates from other areas (computer science, physics geophysics and so) will also be considered. Familiarity with parallel programming paradigms such as MPI (for distributed computing), OpenMP (for shared memory) or CUDA (for GPU programming) is a plus. A successful candidate who completes a PhD with this project would be well- positioned for employment opportunities in academics, national labs and government agencies (such as the US Geological Survey) which make use of geophysical modeling. This position is a National Science Foundation funded project "Parallel, adaptive Cartesian grid algorithms for natural hazards modeling", under the Division of Mathematical Sciences and will be funded for 3 years. Women and under-represented groups in the STEM fields are especially encouraged to apply. Please contact Donna Calhoun (donnacalhoun@boisestate.edu) if you are interested, or go directly to the BSU PhD in Computing website at http://computing.boisestate.edu Applicant deadline for full consideration is January 5th, 2019. ------------------------------------------------------- From: Nick Polydorides n.polydorides@ed.ac.uk Date: December 20, 2018 Subject: PhD Position, ML-assisted Hyperspectral Imaging, Edinburgh Spectral/hyperspectral tomography aims to improve standard Computed Tomography by taking advantage of additional information in the form of energy-resolved measurements. The objective is to use spectral information to reduce artifacts and improve the image reconstruction in cases of limited-angle projections. This project will explore the application of machine/deep learning methods in combination with classical and Bayesian inversion methods. Applications will include non-destructive testing of materials and security screening. This project will run in collaboration with Harris Corporation and colleagues at the Alan Turing Institute. Enquiries: Nick Polydorides N.Polydorides@ed.ac.uk More info: http://www.homepages.ed.ac.uk/npolydor ------------------------------------------------------- End of Digest **************************