Subject: NA Digest, V. 20, # 7 NA Digest Monday, February 17, 2020 Volume 20 : Issue 7 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: Gary Leaf Announcing FEAST Eigensolver v4.0 New preCICE Release v2.0 EoCoE Webinar on MLD2P4, Feb 2020 British Early Career Mathematicians’ Colloquium, UK, Apr 2020 Mathematical Machine Learning and Applications, USA, Apr 2020 Barrett Lectures, USA, May 2020 Numerical Linear Algebra and Optimization, UK, Jun 2020 Nonlocal Models, Analysis, Optimization and Implementation, Germany, Jul 2020 Parallel Matrix Algorithms and Applications, Belgium, Jul 2020 Chemnitz Inverse Problems Symposium, Germany, Sep 2020 Tenure-track Positions, Math, U of Vienna Lecturer/Senior Lecturer Position, Mathematical Optimization, Data Science, UK Senior Lecturer or Reader Position, Data Science/Statistics, Cardiff Univ Postdoc Position, Data Assimilation Scientific Programmer, Univ of Reading Postdoc Position, Lawrence Berkeley Lab Postdoc Position, Quantum Computing and Optimization Postdoc Position, Univ of Sao Paulo Postdoc Position, Using fuzzy systems for time series analysis Postdoc Positions, Numerical Linear Algebra, Univ of Manchester PhD Position, Applied and Computational Mathematics, KTH PhD Position, Wind turbine Navier-Stokes CFD, Lancaster Univ PhD Positions, Cardiff's School of Mathematics PhD Positions, TU Eindhoven, The Netherlands PhD Positions: Modeling, Simulation & Optimization, Hamburg, Germany Contents, J Numer Anal Approx Theory, 48 (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: Barry Smith [log in to unmask] Date: February 09, 2020 Subject: Gary Leaf Dr. Gary Kristian Leaf, a member of the Mathematics and Computer Science Division at Argonne National Laboratory, passed away on January 13, 2020, at the age of 84. Gary graduated with a doctorate in mathematics and a master's in physics from the University of Illinois Urbana- Champaign. After working for two years at the University of Chicago, Gary moved to his permanent home at Argonne National Laboratory in 1963. He worked at Argonne until 2019, a total of 56 years; his plans to return to work were interrupted by his death. Despite battling retinitis pigmentosa, a condition that rendered him legally blind, Gary continued to do mathematics and publish well past his official retirement age. Gary's passion was applying mathematics principles to solve a wide range of problems in science and engineering. In the 1960s and 1970s, he focused on modeling problems in nuclear reactor physics and participated in the development of two important simulation codes, PERC and ANL-CANDID. His work (along with collaborators) during the 1970s included the numerical solution of the neutron transport equation, multigroup diffusion equations, and applications of the newly successful finite element methods to problems in reactor physics. He participated in the development of a third reactor physics code, DISPL, that extended the range of the previous codes to simulate both kinetics and diffusion problems. From the 1980s to the mid-1990s, Gary broadened his areas of work and focused on developing numerical techniques for solving problems in fluid dynamics, combustion, wavelets, and chaotic dynamics among other topics. In the mid-1990s, Gary developed a keen interest in application of mathematics to physical systems, in particular to materials science. His collaborations with Argonne's Materials Science Division lasted decades and included work in superconductivity and micromagnetics. He co-authored papers on a broad range of topics including parallel adaptive multigrid, wavelets, sedimentation, and one of the first papers on adjoint- based data assimilation. In one of his last publications, he collaborated with the Department of Physiology and Molecular Biology at the Rush University Medical Center. There Gary worked on mathematical modeling and simulation of ion channels --- doughnut-shaped proteins residing in the cell membrane and regulating the flow of ions in and out of the cell. In his work he actively used the latest supercomputers available at Argonne, including Intel's Theta system. Throughout his professional life, Gary touched and deeply impacted many lives --- as a mentor, as a colleague,and as a friend. Gary was very supportive of the work of early career staff and showed great interest in learning more about their projects and always asked challenging questions about their research topics. Gary-s thirst for knowledge, his work ethic, and his undying curiosity to learn more were great sources of inspiration to multiple generations of research staff. Gary worked with a number of graduate students, postdocs, and collaborators within the laboratory and academia, all of whom have fond memories of their time with Gary. ------------------------------------------------------- From: Eric Polizzi [log in to unmask] Date: February 12, 2020 Subject: Announcing FEAST Eigensolver v4.0 The FEAST library package represents an unified framework for solving various family of eigenvalue problems and achieving accuracy, robustness, high-performance and scalability on parallel architectures. FEAST is both a comprehensive library package, and an easy to use software. Its originality lies with a new transformative numerical approach to the traditional eigenvalue algorithm design - the FEAST algorithm. The algorithm gathers key elements from complex analysis, numerical linear algebra and approximation theory, to construct an optimal subspace iteration technique using approximate spectral projectors. It belongs to the family of contour integration eigensolvers which involves solving independent linear systems along a complex contour. FEAST v4.0 is a major upgrade. The entire code has been re- implemented using an inverse residual iteration algorithm allowing the linear systems to be solved with very low accuracy (in single precision) with no impact on the FEAST double precision convergence rate. As a result, v4.0 is on average 3 to 4 times faster than v2.1 and v3.0 using new default optimization parameters (v2.1 has been featured as Intel- MKL's principal HPC eigensolver since 2013). FEAST v4.0 package include the following (many new) features: 1- Support for Hermitian and non-Hermitian systems (Standard or Generalized); 2- Support for Polynomial systems such as quadratic, cubic, quartic, etc. 3- Finding eigenpair within a search contour (normal mode); Finding extreme eigenvalues (lowest/largest); 4- Mixed precision (single precision operations leading to double precision final results); 8- IFEAST- FEAST w/o factorization for sparse drivers; 9- PFEAST- FEAST using 3 levels of MPI parallelism (with MPI solvers); 5- Two libraries: SMP version (one node), and MPI version (multi-nodes); 6- Flexible Reverse communication interfaces (RCI); 7- Ready to use Driver interfaces for dense, banded, sparse formats; 10- Large number of useful options, expert mode, examples, and documentation. The software can be downloaded from the following website: http://www.feast-solver.org ------------------------------------------------------- From: Benjamin Uekermann [log in to unmask] Date: February 14, 2020 Subject: New preCICE Release v2.0 We are happy to announce a new preCICE release v2.0. https://github.com/precice/precice/releases/tag/v2.0.0 preCICE is a coupling library for partitioned multi-physics simulations, including, but not restricted to fluid-structure interaction and conjugate heat transfer simulations. Partitioned means that preCICE couples existing programs (solvers) capable of simulating a subpart of the complete physics involved in a simulation. This allows for the high flexibility that is needed to keep a decent time-to-solution for complex multi-physics scenarios. Ready-to-use adapters for well-known commercial and open-source solvers, such as OpenFOAM, deal.II, FEniCS, SU2, or CalculiX, are available. preCICE is an open-source software under the LGPL3 license. https://www.precice.org/ We decided to move to v2.0 to clean up some old baggage. Users need to change a few things in their applications to move to v2.x, but it's worth it, many things will get much simpler. To help moving, we prepared a porting guide: https://github.com/precice/precice/wiki/Porting-adapters-from-preCICE-1.x-to-2.x). A few highlights: - The Python bindings are now really pythonic and available through PyPI: https://pypi.org/project/pyprecice/ - We now also have Matlab bindings. - Configuration of OpenFOAM cases now directly use an OpenFOAM dictionary. - We did several optimizations to better support very large cases. ------------------------------------------------------- From: Pasqua D'Ambra [log in to unmask] Date: February 10, 2020 Subject: EoCoE Webinar on MLD2P4, Feb 2020 The EoCoE team will give the second webinar of 2020 on Linear Algebra software tools, taking place on February, 24, 2020 and starting at 3 PM. During this webinar, Pasqua D'Ambra, Senior Research Scientist at the National Research Council of Italy, will present MLD2P4 (MultiLevel Domain Decomposition Parallel Preconditioners Package based on PSBLAS), which provides efficient and easy-to-use preconditioners in the context of the PSBLAS (Parallel Sparse Basic Linear Algebra Subprograms) computational framework. The package, whose features are constantly updated within the Energy-Oriented Center of Excellence (EoCoE) European project, includes multilevel cycles and smoothers widely used in multigrid methods. A purely algebraic approach is applied to generate coarse-level corrections so that no geometric background is needed concerning the matrix to be preconditioned. The webinar will present the main features of the package, and example of usage of the main APIs needed to setup the preconditioner, together with its application within the Krylov solvers available from PSBLAS. Some results on test cases relative to the EoCoE application areas highlight how the PSBLAS/MLD2P4 software framework can be used to obtain highly scalable linear solvers. For those of you who wish to participate, please register on the dedicated GoToWebinar page at the following link. LINK: https://attendee.gotowebinar.com/register/3291194948253656589 ------------------------------------------------------- From: Alexander Brune [log in to unmask] Date: February 12, 2020 Subject: British Early Career Mathematicians’ Colloquium, UK, Apr 2020 Registration is now open for the British Early Career Mathematicians' Colloquium (BECMC) (formerly BYMC). The BECMC will be held on the 1st-2nd April 2020 at the University of Birmingham. This will be a two-day event aimed at PhD students and early career mathematicians. It offers participants a valuable opportunity to network with others in their field, gain an insight into the active areas of research in a wide range of mathematical disciplines, and give a talk in a relaxed and friendly environment. (For more details, please visit http://web.mat.bham.ac.uk/BYMC/BECMC20/). The committee recognises that the standard of access at academic conferences across the UK is largely unacceptable. Our team are working to improve this within their capabilities, both for this BECMC 2020 and for future conferences. Please see our website for full details about the accessibility at the conference. For any questions or concerns, please email the committee on [log in to unmask] ------------------------------------------------------- From: Jonathan Siegel [log in to unmask] Date: February 10, 2020 Subject: Mathematical Machine Learning and Applications, USA, Apr 2020 We cordially invite you to attend "Workshop on Mathematical Machine Learning and Applications" held by the Center for Computational Mathematics and Applications (CCMA) at Penn State" on April 26-29, 2020. This workshop aims to bring together active scientists in the emerging field of data science to discuss recent advances in the study of algorithm development, theoretical analysis and applications of machine learning. Of particular interest are research topics concerned with the interplay between computer science, statistics, scientific computing, mathematical analysis, and applications of deep neural networks. As part of the meeting, Prof. George Karniadakis and Prof. Jinchao Xu will deliver introductory lectures on the mathematics of deep learning with junior participants as the target audiences. Confirmed Invited Speakers Include: Tyrus Berry (George Mason); Gregery T. Buzzard (Purdue); Eric Darve (Stanford); Bin Dong (PKU); Weinan E (Princeton); Dimitris Giannakis (Courant); C. Lee Giles (Penn State); John Harlim (Penn State); Thomas Y. Hou (Caltech); George Karniadakis (Brown); Stanley Osher (UCLA); Zuowei Shen (NUS); Zuoqiang Shi (Tsinghua); Aarti Singh (CMU); Andrew Stuart (Caltech); John Urschel (MIT); Rachel Ward (Texas); Lin Xiao (Microsoft) More details on the registration information and possible travel support for junior participants (pending to NSF grant approval) is available at https://ccma.math.psu.edu/2020workshop/ ------------------------------------------------------- From: Abner Salgado [log in to unmask] Date: February 11, 2020 Subject: Barrett Lectures, USA, May 2020 We are pleased to announce that the 50th John H. Barrett Memorial Lectures (Barrett Lectures) will be held from May 11-13, 2020 in the Department of Mathematics at the University of Tennessee, Knoxville, TN. The Barrett Lectures is one of the few long standing conferences in mathematics in the southeastern United States, held annually since 1970 with some exceptions. This year, the Barrett Lectures is organized under the theme of "A3N2M: Approximation, applications and analysis of nonlocal, nonlinear models", and the conference is composed of plenary, invited and contributed talks by experts in the application, approximation, and analysis of nonlocal models. Full details about speakers, registration and other information can be found in the website http://www.math.utk.edu/info/barrett/barrett-lectures2020/ Limited funds via the support of NSF and IMA, which we gratefully acknowledge, are available to defray travel expenses to registered participating graduate students, postdocs, early-career researchers, and/or members of groups that are under-represented in mathematics. Please help advertise this event to your students, postdocs and early-career researchers in your department who might be interested in it. We would appreciate if you can post or send via email the attached conference flier to your faculty and graduate students. Please let us know if you have any questions. ------------------------------------------------------- From: Michal Kocvara [log in to unmask] Date: February 14, 2020 Subject: Numerical Linear Algebra and Optimization, UK, Jun 2020 The IMA and the University of Birmingham are pleased to announce the Seventh Biennial IMA Conference on Numerical Linear Algebra and Optimization, University of Birmingham, UK, 24-26 June 2020 Conference topics include any subject that could be of interest to both communities, such as: Direct and iterative methods for large sparse linear systems; Eigenvalue computation and optimization; Large-scale nonlinear and semidefinite programming; Effect of round-off errors, stopping criteria, embedded iterative procedures; Optimization issues for matrix polynomials; Fast matrix computations; Compressed/sparse sensing; PDE-constrained optimization; Distributed computing and optimization; Applications and real time optimization Invited plenary speakers: Pierre-Antoine Absil (University of Louvain); Frank E. Curtis (Lehigh University); Moritz Diehl (University of Freiburg); Zlatko Drmac (University of Zagreb); Gabriele Eichfelder (TU Ilmenau); Melina Freitag (University of Bath); David Silvester (University of Manchester) Abstract submission: 28 February 2018 Notification of acceptance of abstracts: 31 March 2018 Website: https://ima.org.uk/12530/7th-ima-conference-on-numerical-linear-algebra-and- optimization/ For further information or to register your interest, please contact Maya Evarson, Conference Officer, E-mail: [log in to unmask], Tel: +44 (0) 1702 354 020, Fax: +44 (0) 1702 354 111, Institute of Mathematics and its Applications, Catherine Richards House, 16 Nelson Street, Southend- on-Sea, Essex, SS1 1EF, UK. ------------------------------------------------------- From: Marta D'Elia [log in to unmask] Date: February 13, 2020 Subject: Nonlocal Models, Analysis, Optimization and Implementation, Germany, Jul 2020 It is our pleasure to announce the upcoming workshop Nonlocal Models - Analysis, Optimization and Implementation organized by the research training group Algorithmic Optimization (University of Trier) that will take place in July 27-30, 2020, at Trier University, Germany: https://math.uni-trier.de/~ALOP_WS/ Confirmed Plenary Speakers: Harbir Antil (George Mason University) Marta D'Elia (Sandia National Laboratories) Max Gunzburger (Florida State University) Julio D. Rossi (Universidad de Buenos Aires) Pablo Seleson (Oak Ridge National Laboratory) The workshop will be focused on models which are nonlocal in space; including fractional equations as well as nonlocal models with a finite range of interactions. Aspects that shall be covered include: Optimization, Analysis and Stochastics, Implementation, Applications Important Dates: Registration: until May 15, 2020 Notification of acceptance: at latest May 31, 2020 ------------------------------------------------------- From: Wim Vanroose [log in to unmask] Date: February 15, 2020 Subject: Parallel Matrix Algorithms and Applications, Belgium, Jul 2020 Workshop Parallel Matrix Algorithms and Applications PMAA20, July 2-4, 2020, https://pmaa20.org This international workshop discusses applications and algorithms of parallel matrix algorithms. The Workshop brings together experts and practitioners from diverse disciplines around their interest in matrix computations. Topics of interest include: Large-scale applications, from any field, where parallel matrix computation play a key role, Parallel methods for solving large sparse- or dense linear systems or eigenvalue problems, Parallel environments and tools for enabling matrix applications, Communication and computation patterns in parallel matrix computations, Combinatorial scientific computing, Analysis of parallel matrix algorithms, Novel hardware, Automatic tuning and performance modelling. Invited speakers to be announced soon. Important dates: - March 21, 2020: Submission of Minisymposium proposals by e-mail to [log in to unmask] - April 5, 2018: Submission of abstracts for MS and contributed talks For more information see https://pmaa20.org ------------------------------------------------------- From: Jan-Frederik Pietschmann [log in to unmask] Date: February 10, 2020 Subject: Chemnitz Inverse Problems Symposium, Germany, Sep 2020 Dear collegues, we are happy to announce this year's Chemnitz Symposium on Inverse Problems which will be part of the annual DMV-Meeting (German mathematical society) taking place in Chemnitz from September 14 to 17, 2020. It will be organized by Barbara Kaltenbacher, Andrew Stuart and myself and we cordially invite you to join us. All relevant information are summarized here: https://www.chemnitz-am.de/ipsym2020/ Note that the registration works directly via the DMV. ------------------------------------------------------- From: Otmar Scherzer [log in to unmask] Date: February 10, 2020 Subject: Tenure-track Positions, Math, U of Vienna - Mathematics in Tomography - Mathematical Finance - Harmonic Analysis and its applications https://personalwesen.univie.ac.at/jobs-recruiting/tenure-track-professuren/aktuelle- tenure-track-professuren/tag/fakultaet-fuer-mathematik/ ------------------------------------------------------- From: Michal Kocvara [log in to unmask] Date: February 14, 2020 Subject: Lecturer/Senior Lecturer Position, Mathematical Optimization, Data Science, UK School of Mathematics, College of Engineering and Physical Sciences University of Birmingham, UK Applications are invited for a Lecturer/Senior Lecturer post in Mathematical Optimization, Data Science. The School is seeking to appoint an active and committed researcher in the emerging areas of modern Mathematical Optimization, such as Optimization for Machine Learning and Data Science, Stochastic Optimization, Distributed Optimization, and Uncertainty Qualification. The successful candidates will have a PhD (or equivalent) in Mathematics or Computer Science, a first-class research record in Mathematics, and a commitment to teaching, along with excellent communication skills. Senior lecturer candidates will demonstrate experience in attracting external funding. Informal enquiries may be addressed to Professor Michal Kocvara, tel: +44(0)1214146598, email: [log in to unmask] Closing date: 15th March 2020 To download the details and submit an electronic application online visit: https://bham.taleo.net/careersection/external/jobdetail.ftl? job=200000SY&tz=GMT%2B00%3A00&tzname=Europe%2FLondon or https://www.birmingham.ac.uk/staff/jobs/ -> Search our current vacancies - > Keyword \374optimization\375 See also https://www.jobs.ac.uk/job/BYP853/lecturer-senior-lecturer-teaching-and-research-in- mathematics ------------------------------------------------------- From: Tim Phillips [log in to unmask] Date: February 14, 2020 Subject: Senior Lecturer or Reader Position, Data Science/Statistics, Cardiff Univ Applications are invited for a Senior Lectureship/Readership in Data Science/Statistics associated with the Data Science Academy which is a partnership between the School of Computer Science and Informatics and the School of Mathematics. The Office for National Statistics (ONS) is supporting this position as part of its recently announced strategic partnership with Cardiff University. The person appointed will strengthen this collaborative partnership across the spectrum of research, education and industrial engagement activities. The role provides a unique opportunity with regards to teaching, research and innovation, to strengthen the University's strategic collaboration with the ONS, the recognised national statistical institute of the UK, through the delivery of high quality, research led teaching at both undergraduate and postgraduate level. To pursue and demonstrate excellence in research, teaching and enterprise, leading to publication of work in high-quality journals, further contributing to both Schools' research records and inspiring others to do the same. The successful candidate will have an established record of research that reaches the highest standards of excellence in terms of originality, significance and rigour in any area of Data Science/Statistics and have a genuine curiosity and enthusiasm to deliver and develop high-quality teaching for undergraduate and postgraduate programmes in related subjects. The successful candidate will possess an ability to translate theory into practice and to work with the ONS and other public sector organisations in the application of data science to public policy. The person appointed would be expected to engage with staff at the ONS Data Science Campus (https://datasciencecampus.ons.gov.uk/) Cardiff University is committed to supporting all its employees in achieving the necessary balance between their work and their personal lives. As part of this commitment, the University has developed a flexible and responsive framework of support for staff in managing their work and personal commitments wherever possible. We particularly welcome applications from women who are under- represented within Cardiff University in these fields. This position is a full-time position, 35 hours per week and is open ended. For an informal discussion of the role please contact Professor Stuart Allen [log in to unmask], Professor Tim Phillips [log in to unmask] or Sarah Oakes [log in to unmask] Closing date: Friday, 28 February 2020 Further details: https://krb-sjobs.brassring.com/TGnewUI/Search/Home/HomeWithPreLoad? partnerid=30011&siteid=5460&PageType=searchResults&SearchType=linkquery&LinkID=6# jobDetails=1594225_5460 ------------------------------------------------------- From: Amos Lawless [log in to unmask] Date: February 11, 2020 Subject: Postdoc Position, Data Assimilation Scientific Programmer, Univ of Reading We are seeking a self-motivated and independent Data Assimilation Scientific Programmer to maintain and develop the data assimilation software systems of the UK National Centre for Earth Observation (NCEO) and support users of these systems in NCEO and the wider UK academic community. The post is based in the Data Assimilation Research Centre of the School of Mathematical, Physical and Computational Sciences at the University of Reading, UK. Application deadline: 15 March, 2020. Further details are available at https://jobs.reading.ac.uk/internal/displayjob.aspx?jobid=6383 ------------------------------------------------------- From: Michael Minion [log in to unmask] Date: February 15, 2020 Subject: Postdoc Position, Lawrence Berkeley Lab The Scalable Solvers Group (https://crd.lbl.gov/departments/applied-mathematics/scalable-solvers/) at the Lawrence Berkeley National Lab is seeking exceptional applicants for a post-doctoral position in the area of numerical methods for partial differential equations. Interested candidates can view the job listing and apply here: https://jobs.lbl.gov/jobs/computational-science-postdoctoral-scholar-2535 The position is available immediately and will remain open until filled. For more information, contact Michael Minion ([log in to unmask]) ------------------------------------------------------- From: Tamás Terlaky [log in to unmask] Date: February 14, 2020 Subject: Postdoc Position, Quantum Computing and Optimization Postdoctoral Position on Quantum Computing and Optimization Quantum Computing and Optimization Laboratory, Industrial and Systems Engineering Department, Lehigh University, Bethlehem, PA, USA Applications are invited for a postdoctoral position at the Quantum Computing and Optimization Laboratory (QCOL), Industrial and Systems Engineering (ISE) Department, Lehigh University (http://coral.ie.lehigh.edu/~QCOL), as part of a recently awarded $2.1 million DARPA grant (https://engineering.lehigh.edu/news/article/21m- darpa-grant-puts-ise-faculty-vanguard-quantum-computing) for research in optimization with Noisy Intermediate-Scale Quantum (NISQ) devices. We seek outstanding candidates with a Ph.D. in operations research, physics, computer science, applied mathematics, or related areas with research experience in the general area of Quantum Computing (QC). In addition, demonstrated proficiency in verbal and written communication skills and the ability to work in a collaborative, multidisciplinary team are required. Some of the research directions that the QCOL is pursuing are related, but not limited to: the development of new QC results/techniques to address the solution of combinatorial optimization problems with NISQ devices, the development of new QC interior point algorithms, and the study and control of noise in NISQ devices. Through strong collaborations, QCOL has access to state-of-the-art QC hardware and software. Compensation will be commensurate with experience, and the position is for one (1) year with the possibility of extension to a second year. Interested applicants should submit a cover letter, curriculum vitae, a brief statement of research accomplishments, and contact information for at least three references to Prof. Tamas Terlaky . Review of applications will begin immediately and will continue until the position is filled. Questions concerning the position can be directed to Prof. Tamas Terlaky, ISE Department, at . Lehigh University is an affirmative action/equal opportunity employer. Please check https: //www.lehigh.edu/~policy/university/eo.htm for details. ------------------------------------------------------- From: Rodrigo Fernandes de Mello [log in to unmask] Date: February 14, 2020 Subject: Postdoc Position, Univ of Sao Paulo The Research, Innovation and Dissemination Center for Mathematical Sciences Applied to Industry (CeMEAI), hosted by the University of Sao Paulo, Brazil, and funded by FAPESP (Sao Paulo Research Foundation, Brazil) is offering a post-doctoral fellowship for candidates with outstanding research potential. This 12-month post-doctoral fellowship is focused on the use of supervised learning techniques to model systems of differential equations in order to represent agricultural databases. Applicants must have graduated in mathematics and completed a doctorate in Statistics and related areas in the last 5 years. The selection criteria will include demonstrated research capacity in mathematics, statistics, solid training in stochastic processes, optimization of models of differential and nonlinear equations, operational research, Bayesian analysis, experimental statistics, multivariate analysis, bootstrap, Monte Carlo simulation and computational statistics. It is also desirable that the candidate has experience working in research groups and has collaborated on research projects with companies, startups or governmental institutions. To apply please E-mail (only PDF files) the following items for the researcher Rodrigo Fernandes Mello ([log in to unmask]) until 2020/03/05: 1. A letter of interest, containing full contact information, year graduated and citizenship/immigration status, concisely responding to the research emphases above; 2. A CV ; 3. A cover letter including names and contact information for 3 references (no letters please). Indicate "CEPID Postdoc" in the subject field. ------------------------------------------------------- From: Rodrigo Fernandes de Mello [log in to unmask] Date: February 14, 2020 Subject: Postdoc Position, Using fuzzy systems for time series analysis The Research, Innovation and Dissemination Center for Mathematical Sciences Applied to Industry (CeMEAI), hosted by the University of Sao Paulo, Brazil, and funded by FAPESP (Sao Paulo Research Foundation, Brazil) is offering a post-doctoral fellowship for candidates with outstanding research potential. This call makes available a postdoc position for 6 months, which is focused on: (i) the combination of time series forecasting techniques with fuzzy set theory aiming at dealing with uncertainty naturally inherent in models obtained from real-world problems to improve, for example, prediction accuracies; (ii) adequately partitioning discourse universe of time series; (iii) interpreting fuzzy time series to understand implicit behavior in crime and biodiversity datasets; In this context, we also intend to model the stochastic component by using fuzzy rule-based systems. Applicants must have received a doctorate in Computer Science within the last 7 years. Selection criteria will include demonstrated research ability in Machine Learning, with emphasis on Fuzzy Set Theory, and Time Series Forecasting. To apply please E-mail (only PDF files) the following items at [log in to unmask] until March, 05, 2020: 1. A letter of interest, containing full contact information, year graduated and citizenship/immigration status, concisely responding to the research emphases above; 2. A CV ; 3. A cover letter including names and contact information. Indicate "CEPID Postdoc" in the subject field. ------------------------------------------------------- From: Nick Higham [log in to unmask] Date: February 11, 2020 Subject: Postdoc Positions, Numerical Linear Algebra, Univ of Manchester Two postdoctoral posts are available in the Numerical Linear Algebra Group (https://nla-group.org/) at the University of Manchester on projects developing and analyzing numerical linear algebra algorithms for high-performance computers. For details, see https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=18615 Closing date: March 11, 2020. Informal enquiries should be directed to Professor Nick Higham ([log in to unmask]). ------------------------------------------------------- From: Anna-Karin Tornberg [log in to unmask] Date: February 13, 2020 Subject: PhD Position, Applied and Computational Mathematics, KTH The department of Mathematics at the Royal Institute of Technology (KTH) seeks applications for a Ph.D student position in Applied and Computational Mathematics with specialization in Numerical Analysis. The research project will be focused on development of numerical methods primarily for applications within micro-fluidics (fluid dynamics at the micro scale). The algorithms will to a large extent be based on boundary integral equations, and the project will span over theory, algorithms, software and applications. The doctoral student will be supervised by Professor Anna-Karin Tornberg. Application deadline March 18. English version of ad: https://www.kth.se/en/om/work-at-kth/lediga- jobb/what:job/jobID:313805/type:job/where:4/apply:1 Swedish version of ad: https://www.kth.se/om/work-at-kth/lediga- jobb/what:job/jobID:313805/type:job/where:4/apply:1 Profile page of advisor: https://www.kth.se/profile/akto ------------------------------------------------------- From: M. Sergio Campobasso [log in to unmask] Date: February 11, 2020 Subject: PhD Position, Wind turbine Navier-Stokes CFD, Lancaster Univ This cross-disciplinary project aims to substantially reduce Floating Offshore Wind Turbine (FOWT) development uncertainty, which limits the full exploitation of global wind energy resources. Unlike fixed-bottom turbines, which cannot be installed deeper than 50 meters, multi-megawatt FOWTS can be used at any depth. However, further from the coast is a more extreme environment, with FOWT stability, efficiency and durability determined by the interaction of aerodynamic loads on rotor and tower, and wave- and current-induced loads on floater. Reliably assessing these loads is paramount to designing the system control tasked with guaranteeing operational targets. The current uncertainty affecting low-fidelity engineering codes for FOWT development presents a significant challenge for the long-term success of FOWTs. No research worldwide has yet developed blade-pitch control functionalities in Navier-Stokes (NS) CFD simulations required for conclusive reliability assessment and improvement of modern FOWT engineering codes. The project will address this challenge by developing novel high-performance-computing-enabled NS-CFD functionalities in the FOWT NS-CFD research code COSA. Development tasks are: a) implement accurate sliding mesh functionalities in COSA to simulate individual blade pitch control responding to wind gusts and wave-induced turbine oscillations, b) develop Graphic-card-unit (GPU) computing into the existing distributed-memory COSA. Objectives are: a) study design-driving FOWT regimes using state-of-the-art engineering codes and new GPU-supported and pitch-control-enabled FOWT COSA code, b) analyse key FOWT physics, c) assess shortfalls of engineering codes and correct their low-fidelity models. Further information is available at https://www.findaphd.com/phds/project/developing-high-fidelity-digital-twins-to-advance- the-design-of-next-generation-floating-offshore-wind-turbines/?p118868 ------------------------------------------------------- From: Kirstin Strokorb [log in to unmask] Date: February 16, 2020 Subject: PhD Positions, Cardiff's School of Mathematics Cardiff's School of Mathematics invites applications for two EPSRC DTP studentships at the interface of Statistics, Analysis and Machine Learning. Project (1) Spectral approximation of extremal dependence in high dimensions Project (2) Sparsity and structures in large-scale machine learning problems FURTHER DETAILS https://www.findaphd.com/phds/project/epsrc-dtp-studentship-in-spectral-approximation- of-extremal-dependence-in-high-dimensions/?p118943 https://www.findaphd.com/phds/project/epsrc-dtp-studentship-in-sparsity-and-structures- in-large-scale-machine-learning-problems/?p119136 The School provides an excellent PGR environment. The latest PRES ranks its overall satisfaction 3rd and its professional development 1st (out of 22). The training in these projects opens up outstanding career prospects both in academia and industry. Each 3.5 year studentship includes fees, stipend and RTSG at the UKRI rate. Applicants should apply through the Cardiff University online application portal for a Doctor of Philosophy in Mathematics with an entry point of October 2020: https://www.cardiff.ac.uk/study/postgraduate/research/programmes/programme/mathemati cs Administrative enquiries: PGR Office Mathematics: [log in to unmask] Closing Date: 16 March 2020. ------------------------------------------------------- From: Jan ten Thije Boonkkamp [log in to unmask] Date: February 13, 2020 Subject: PhD Positions, TU Eindhoven, The Netherlands A PhD position is available at Eindhoven University of Technology, in the field of computational illumination optics / scientific computing. The purpose of this research project is to develop advanced ray trace methods for optical system design, based on the so-called phase space representation of the optical system. For more information, see: https://jobs.tue.nl/en/vacancy/phd-scientific-computing-illumination-optics-843465.html ------------------------------------------------------- From: Armin Iske [log in to unmask] Date: February 16, 2020 Subject: PhD Positions: Modeling, Simulation & Optimization, Hamburg, Germany The Hamburg Research Training Group (RTG2583) "Modeling, Simulation and Optimization of Fluid Dynamic Applications" invites applications for nine research associates (PhD students), where the positions may be filled from April 1, 2020, or later. The salary is in accordance with the German public service at salary level E13 TV-L, with 75% of the standard working hours per week. The positions are on fixed-term contracts for a period of three years. We are looking for highly motivated team players, who have a sound background in applied mathematics, with expertise in at least one of the RTG's research areas Modeling, Simulation, or Optimization. Preference is given to candidates with profound experience in relevant applications in engineering, medicine, or meteorology. For details concerning the RTG's research profile, refer to the website https://www.c3s.uni- hamburg.de/grk/research-profile.html, in particular for the PhD projects of the research areas M, S, and O. Applicants are requested to follow the instructions in the job announcement https://www.uni-hamburg.de/en/uhh/stellenangebote/wissenschaftliches-personal/29-02- 20-61-engl.pdf, especially for the required application material. The job announcement will be open until all nine PhD positions are filled, but the first round of decisions will be made shortly after the first deadline of February 29, 2020. ------------------------------------------------------- From: JNAAT [log in to unmask] Date: February 15, 2020 Subject: Contents, J Numer Anal Approx Theory, 48 (2) Journal of Numerical Analysis and Approximation Theory published since 1972 http://ictp.acad.ro/jnaat Professor Ion Pavaloiu at his 80'th anniversary, E. Catinas On the unique solvability and numerical study of absolute value equations, A. Mohamed Approximate solution of nonlinear hyperbolic equations with homogeneous jump conditions, M.O. Adewole Extending the radius of convergence for a class of Euler-Halley type methods, S. George, I.K. Argyros Iterates of a modified Bernstein type operator, T. Catinas Inequalities for the Finite Hilbert Transform of convex functions, S.S. Dragomir Analytic vs. numerical solutions to a Sturm-Liouville transmission eigenproblem, C.-I. Gheorghiu, B. Zinsou Explicit algebraic solution of Zolotarev's First Problem for low-degree polynomials, H.J. Rack, R. Vajda ------------------------------------------------------- End of Digest **************************