[External Email] Subject: NA Digest, V. 20, # 20 NA Digest Monday, May 25, 2020 Volume 20 : Issue 20 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: SciML: Open Source Software for Scientific Machine Learning Research Technician Position, Machine Learning, BCAM Postdoc Position, HPC/NA, Max Planck Computing and Data Facility, Germany Postdoc Position, Ice Sheet Modeling, Berkeley Lab Postdoc Position, Math Modelling and Scientific Computing, McMaster Postdoc Position, Numerical Modelling, NUI Galway, Ireland PhD Positions, Applied Mathematics, GSSI, Italy PhD Positions, Computational Math and Decision Sciences, Italy/Switzerland PhD Positions, Univ of Udine PhD Research Fellow, Fluid Mechanics, Univ of Oslo Contents, Numerical Algorithms, 84 (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: Christopher Vincent Rackauckas [log in to unmask] Date: May 21, 2020 Subject: SciML: Open Source Software for Scientific Machine Learning We are pleased to announce SciML, an umbrella organization for the development of open source scientific machine learning software. SciML is a rebranding of the JuliaDiffEq organization and its DifferentialEquations.jl software suite in order to include the larger space of automated model discovery, uncertainty quantification, and neural surrogates which are utilized throughout modern applications. This organization covers methods such as adaptive stochastic differential equation solvers, GPU-compatible adjoints, Hessian-free Newton-Krylov optimization, graph-based stochastic simulation algorithms, (and many more!) and allows for combining and composing these models and tools. Some highly relevant links are: - DifferentialEquations.jl: https://docs.sciml.ai/latest/ - DiffEqFlux.jl: Neural Networks in Differential Equations https://diffeqflux.sciml.ai/dev/ and https://arxiv.org/abs/2001.04385 - DataDrivenDiffEq.jl: Koopman and SInDy methods https://datadriven.sciml.ai/dev/ - DiffEqBenchmarks.jl: Differential equation benchmarking https://github.com/SciML/DiffEqBenchmarks.jl That is a selection of the >50 scientific computing software packages in this domain. For more details, consult our introduction blog post: https://sciml.ai/2020/03/29/SciML.html ------------------------------------------------------- From: Irune Diaz Gonzalez [log in to unmask] Date: May 19, 2020 Subject: Research Technician Position, Machine Learning, BCAM Description: In the framework of the BCAM "Maths & Artificial Intelligence" strategy, a series of projects in this field have been launched in different areas of Applied Mathematics. Contract and offer: 6 months Deadline: June 5th 2020, 14:00 CET (UTC+1) Apply in: http://www.bcamath.org/en/research/job/ic2020-05-research-technician-in- machine-learning Requirements: Promising young researchers. Applicants must have their MsC preferable in Computer Science or related fields. Skills and track-record: Good interpersonal skills. Demonstrated ability to work independently and as part of a collaborative research team. Ability to present and publish research outcomes in spoken (talks) and written (papers) form. Ability to effectively communicate and present research ideas to researchers and stakeholders with different backgrounds. Fluency in spoken and written English. Scientific Profile: The preferred candidate will have: Strong background in Machine Learning. Demonstrated knowledge in image processing techniques and deep learning Good programming skills in Python, R Research experience in interdisciplinary applications, such as the health sector. ------------------------------------------------------- From: Markus Rampp [log in to unmask] Date: May 18, 2020 Subject: Postdoc Position, HPC/NA, Max Planck Computing and Data Facility, Germany The Max Planck Computing and Data Facility (MPCDF) is looking for a HPC application expert (m/f/d). The successful candidate will be associated with the applications group at the MPCDF (based on the research campus Garching near Munich, Germany) and will work on the high-performance eigenvalue-solver library ELPA. The main task will be to port and optimize the ELPA library for upcoming Exascale computer architectures, in the context of the European Horizon 2020 Center of Excellence "NOMAD2". The applicant should hold a PhD in Physics, Computer Science, applied Mathematics, or a similar subject. A strong background in the parallel programming models MPI and OpenMP and in scientific software development is mandatory. Ideally, the candidate offers a background in numerical linear algebra and has a profound knowledge of the Scalapack library, complemented with some familiarity of major high-performance eigenvalue solver libraries and algorithms. The full-time position starts as soon as possible and is initially limited for a maximum period of three years. Salary will be based on experience according to the German TVoD. For detailed information please visit http://www.mpcdf.mpg.de/about-mpcdf/career/jobs/ ------------------------------------------------------- From: Esmond G. Ng [log in to unmask] Date: May 21, 2020 Subject: Postdoc Position, Ice Sheet Modeling, Berkeley Lab Berkeley Lab's Computational Research Division has an opening for a Postdoctoral Scholar to work on the BISICLES Ice Sheet Model. The Applied Numerical Algorithms Group (ANAG), in partnership with the Universities of Bristol and Swansea in the UK, is a home of BISICLES, an open-source adaptive mesh refinement (AMR) ice sheet model under development as a part of the U.S. Department of Energy-funded ProSPect SciDAC partnership (see http://bisicles.lbl.gov). You will join an interdisciplinary team of scientists and engineers in extending the current BISICLES capabilities while applying the model to a range of idealized and realistic problems. ANAG develops advanced numerical algorithms and software for partial differential equations integrated with the application of the software to problems of independent scientific and engineering interest. The primary focus of our work is in the development of high-resolution and adaptive finite difference methods for partial differential equations in complex geometries with applications to DOE-mission applications including porous media flows, magnetohydrodynamics, industrial problems, climate, and fusion energy. Details, including how to apply, can be found here: https://jobs.lbl.gov/jobs/bisicles-ice-sheet-model-postdoctoral-scholar-2616 ------------------------------------------------------- From: Bartosz Protas [log in to unmask] Date: May 19, 2020 Subject: Postdoc Position, Math Modelling and Scientific Computing, McMaster Applications are invited for a one-year postdoctoral position in the Department of Mathematics and Statistics at McMaster University. This fellowship provides an opportunity to engage in research in close collaboration with Dr. Protas and his group (more information available at http://www.math.mcmaster.ca/bprotas ) with a limited amount of teaching. The focus of this industry-cofunded position will be research on mathematical and computational modelling of nonequilibrium electrochemical and thermodynamic processes occurring in Li-ion batteries. This position is intended for an applied mathematician interested in exploring a rapidly developing application area, or for a mathematically-minded chemist with a solid background in theoretical and computational chemistry. In either case, knowledge of multiscale modelling (especially homogenization), electrochemistry, PDEs and scientific computing will be an asset. This research project also involves close collaboration with chemists and material scientists as well as research scientists with our Industrial Partner. The fellowship is open to candidates of any nationality and selection will be based on the candidate's research potential and fit with Dr. Protas' research group. The fellowship starts on September 1, 2020 or earlier, and provides an annual salary of $45,000 CAD plus a $2,000 CAD research grant. Candidates are required to apply for this fellowship by using the MathJobs website (see our advertisement with ID McMaster-PDFMMSC [#15960] at www.mathjobs.org). We will begin reviewing applications on June 8, 2020. Applications received after this date will be accepted until the position is filled, but to ensure full consideration applicants are advised to submit all supporting materials by the above deadline. ------------------------------------------------------- From: Niall Madden [log in to unmask] Date: May 19, 2020 Subject: Postdoc Position, Numerical Modelling, NUI Galway, Ireland National University of Ireland Galway is seeking a postdoctoral researcher for a 30 month position in "Next Generation Ocean Modelling". This interdisciplinary project is led by PI, Dr Indie Olbert (Civil Engineering) and Co-PI, Dr Niall Madden (Mathematics). It is is funded by the Marine Institute. Candidates should have a PhD in Mathematics, Physical Oceanography, Engineering or a related area. Experience of numerical modelling is essential, and knowledge of data assimilation would be very valuable. Details at: http://nuigalway.ie/about-us/jobs/researchjobs/ Post number: NUIG 76-20. For more details contact Indiana Olbert ([log in to unmask]) or Niall Madden ([log in to unmask]). NUI Galway is an equal opportunities employer, and holds an Athena SWAN Bronze Award. ------------------------------------------------------- From: Francesco Tudisco [log in to unmask] Date: May 22, 2020 Subject: PhD Positions, Applied Mathematics, GSSI, Italy Call for 8 scholarships for the PhD program in "Mathematics in Natural, Social and Life Sciences", at GSSI (Gran Sasso Science Institute), L'Aquila, Italy. The deadline for applications is June 11, 2020 To apply: https://applications.gssi.it/phd/ The school of Mathematics is characterized by four large macro-areas: Applied Partial Differential Equations, Stochastic Analysis, Numerical Methods and Continuum Mechanics. Within these sectors there is a shared interest in designing mathematical models and numerical methods for problems related to fluid dynamics, quantum mechanics, statistical mechanics and data science. Successful candidates will be offered a four-year PhD scholarship with competitive salary and generous financial support for research. More info about the PhD program: https://www.gssi.it/research-area/maths-research ------------------------------------------------------- From: Luca F. Pavarino [log in to unmask] Date: May 18, 2020 Subject: PhD Positions, Computational Math and Decision Sciences, Italy/Switzerland We are seeking highly motivated graduate students for our international PhD program in Computational Mathematics and Decision Sciences, jointly organized by the University of Pavia (UNIPV), Italy and the Universita della Svizzera Italiana (USI), Lugano, Switzerland. We have openings for 6 new PhD positions, fully funded with a competitive salary and an additional research budget for the second and third year. The PhD research areas are Computational Mathematics, Computational Physics, Scientific Computing, Statistics, Decision Sciences, Optimization, Machine Learning, with an interdisciplinary view of Applied Mathematics, Physics and decision processes under uncertainty. For details, see the program webpage http://compmat.unipv.it/ The application procedure can be found at http://phd.unipv.it/call-36/ Application deadline is June 24, 2020. ------------------------------------------------------- From: Dimitri Breda [log in to unmask] Date: May 19, 2020 Subject: PhD Positions, Univ of Udine Ph.D. Course in Computer Science, Mathematics and Physics - University of Udine. The call for admission 2020/21 is now open, applications are invited for 8+2 positions. Information at https://www.uniud.it/en/research/research-doctorate/phdstudies/admission/ph-d-call-2- deadline-july-22-2020?set_language=en Deadline July 22, 2020 - 02.00 p.m. (Italian time). ------------------------------------------------------- From: John Grue [log in to unmask] Date: May 25, 2020 Subject: PhD Research Fellow, Fluid Mechanics, Univ of Oslo PhD Research Fellow, computation of internal waves (fluid mechanics) at Univ. of Oslo, Norway: https://www.jobbnorge.no/en/available-jobs/job/186538/phd-research-fellow-in-fluid- mechanics Contact: [log in to unmask] (John Grue) Deadline 15 June 2020 ------------------------------------------------------- From: Brezinski Claude [log in to unmask] Date: May 21, 2020 Subject: Contents, Numerical Algorithms, 84 (2) Table of Contents Numerical Algorithms, Vol. 84, No. 2 Spectral-Galerkin approximation and optimal error estimate for biharmonic eigenvalue problems in circular/spherical/elliptical domains, Jing An, Huiyuan Li, Zhimin Zhang Three-step alternating iterations for index 1 and non-singular matrices, Ashish Kumar Nandi, Jajati Keshari Sahoo, Debasisha Mishra A gradient-type algorithm with backward inertial steps associated to a nonconvex minimization problem, Cristian Daniel Alecsa, Szilard Csaba Laszlo, Adrian Viorel Chebyshev-Legendre spectral method and inverse problem analysis for the space fractional Benjamin-Bona-Mahony equation, Hui Zhang, Xiaoyun Jiang, Rumeng Zheng A new modified three-step iteration method for G-nonexpansive mappings in Banach spaces with a graph, Damrongsak Yambangwai, Sukanya Aunruean, Tanakit Thianwan Global uniqueness and solvability of tensor complementarity problems for H + H_+ tensors, Xuezhong Wang, Maolin Che, Yimin Wei Numerical solution of Ito-Volterra integral equation by least squares method, M. Ahmadinia, H. Afshari A., M. Heydari Further comment on another hybrid conjugate gradient algorithm for unconstrained optimization, Andrei Xiuyun Zheng, Xiaoliang Dong, Jiarong Shi, Wei Yang On the global convergence of an inexact quasi-Newton conditional gradient method for constrained nonlinear systems, M. L. N. Goncalves, F. R. Oliveira Preconditioned quasi-compact boundary value methods for space-fractional diffusion equations, Yongtao Zhou, Chengjian Zhang, Luigi Brugnano Interval methods of Adams-Bashforth type with variable step sizes, Andrzej Marciniak, Malgorzata A. Jankowska Optimal subsets in the stability regions of multistep methods, Lajos Loczi Low-rank updates and divide-and-conquer methods for quadratic matrix equations, Daniel Kressner, Patrick Kuerschner, Stefano Massei Fractional collocation boundary value methods for the second kind Volterra equations with weakly singular kernels, Junjie Ma, Huilan Liu Parallelization, initialization, and boundary treatments for the diamond scheme, Stephen Marsland, Robert I. McLachlan, Matthew C. Wilkins The global convergence of the BFGS method under a modified Yuan-Wei-Lu line search technique, Alireza Hosseini Dehmiry Weak and strong convergence theorems for solving pseudo-monotone variational inequalities with non-Lipschitz mappings, Duong Viet Thong, Yekini Shehu, Olaniyi S. Iyiola ------------------------------------------------------- End of Digest **************************