[External Email] Subject: NA Digest, V. 20, # 23 NA Digest Sunday, June 14, 2020 Volume 20 : Issue 23 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: Finite Element Software deal.II Version 9.2.0 released New Book, Nanoscale Photonic Imaging Tenure-Track Position, Computational ML, KU Leuven, Belgium Postdoc Position, Data Science for Healthcare, Cambridge Univ PhD Position, Brunel Univ London 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: Matthias Maier [log in to unmask] Date: June 10, 2020 Subject: Finite Element Software deal.II Version 9.2.0 released Version 9.2.0 of deal.II, the object-oriented finite element library awarded the J. H. Wilkinson Prize for Numerical Software, has been released. It is available for free under an Open Source license from the deal.II homepage at https://www.dealii.org/ The major changes of this release are: - Seven new tutorial programs: step-47 solves the biharmonic equation; step-50 demonstrates algebraic and geometric multigrid methods for large, parallel computations on adaptively refined meshes, and compares matrix-based and matrix-free implementations; step-58 solves the nonlinear Schroedinger equation; step-65 illustrates working with complex geometries and curved domains; step-67 and step-69 implementing different approaches for the Euler equations in compressible gas dynamics; step-70 illustrates flow around a moving obstacle. - Substantial improvements to the Python interfaces, including Jupyter versions of the step-49 and step-53 tutorial program. - A new triangulation class (parallel::fullydistributed::Triangulation) that completely distributes a triangulation, rather than keeping the coarse mesh available on all processors. - The DataOut and related classes now fully support outputting complex-valued solution vectors, including complex-valued vector and tensor fields. - A number of fixes throughout the library for problems with more than 2^32 (=4 billion) unknowns. - Improvements to the support for particle based methods as well as to parallel hp-adaptive finite element methods. - More than 320 other new features, improvements, and bugfixes. For more information see - the preprint at https://www.dealii.org/deal92-preprint.pdf - the list of changes at https://www.dealii.org/developer/doxygen/deal.II/changes_between_9_1_1_and_9_2_0.html The main features of deal.II are: Extensive documentation and 66 fully-functional example programs; Support for dimension-independent programming; Locally refined adaptive meshes; Multigrid support; A zoo of different finite elements; Fast linear algebra; Built-in support for shared memory and distributed parallel computing, scaling from laptops to clusters with 100,000+ processor cores; Interfaces to Trilinos, PETSc, METIS, UMFPACK and other external software; Output for a wide variety of visualization platforms. ------------------------------------------------------- From: Russell Luke [log in to unmask] Date: June 11, 2020 Subject: New Book, Nanoscale Photonic Imaging Nanoscale Photonic Imaging, Tim Salditt, Alexander Egner and D. Russell Luke (eds) Topics in Applied Physics, vol 134. Springer, Cham https://doi.org/10.1007/978-3-030-34413-9 24 chapters, 634 pages. This open access book, edited and authored by a team of world-leading researchers, provides a broad overview of advanced photonic methods for nanoscale visualization, as well as describing a range of fascinating in-depth studies. Introductory chapters cover the most relevant physics and basic methods that young researchers need to master in order to work effectively in the field of nanoscale photonic imaging, from physical first principles, to instrumentation, to mathematical foundations of imaging and data analysis. Subsequent chapters demonstrate how these cutting edge methods are applied to a variety of systems, including complex fluids and biomolecular systems, for visualizing their structure and dynamics, in space and on timescales extending over many orders of magnitude down to the femtosecond range. Progress in nanoscale photonic imaging in Göttingen has been the sum total of more than a decade of work by a wide range of scientists and mathematicians across disciplines, working together in a vibrant collaboration of a kind rarely matched. It serves not only as a useful reference for experienced researchers but also as a valuable point of entry for newcomers. ------------------------------------------------------- From: Lieven De Lathauwer [log in to unmask] Date: June 11, 2020 Subject: Tenure-Track Position, Computational ML, KU Leuven, Belgium The Faculty of Engineering Science at KU Leuven is seeking to fill the position of a tenure-track assistant professor in "Computational Machine Learning". The successful candidate will join the STADIUS Center for Dynamical Systems, Signal Processing, and Data Analytics in the Department of Electrical Engineering (ESAT). ESAT-STADIUS pursues excellence in an explicit and synergistic combination of fundamental and applied research. With core concepts from linear and multi-linear algebra, statistics, optimization, machine learning, and artificial intelligence, its fundamental research is focused on the development of mathematical engineering tools and numerical algorithms. Building upon this foundation, applied research aims to advance the current state of technology across a wide range of relevant application fields, including industrial automation and control, speech and audio signal processing, digital communications, biomedical data analysis and signal processing, bioinformatics and systems biology. The candidate will establish an impactful mathematical engineering research programme focusing on computational and theoretical aspects of machine learning, further strengthening and complementing the current fundamental research activities within ESAT-STADIUS. His/her research programme will also be relevant to the range of application fields currently covered by ESAT-STADIUS, with preference given to applications in big data and e-health, e.g., clinical diagnostics, decision support and personalized medicine. The candidate will provide high-quality teaching in the Bachelor and/or Master programmes of the Faculty of Engineering Science, including mathematical engineering courses. KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. For detailed information, please visit: https://www.kuleuven.be/personeel/jobsite/jobs/55579156?hl=en&lang=en Application deadline: August 15, 2020. ------------------------------------------------------- From: Josh Stevens [log in to unmask] Date: June 12, 2020 Subject: Postdoc Position, Data Science for Healthcare, Cambridge Univ We invite applications for a Post Doctoral Research Associate to work in the EPSRC Cambridge Mathematics of Information in Healthcare Hub (CMIH) at the University of Cambridge. The Hub is a collaboration between mathematics, statistics, computer science, medicine, and clinicians, and aims to develop rigorous and clinically practical algorithms for analysing healthcare data for personalised diagnosis and treatment as well as target identification and validation at the population level. Furthermore, this will focus on some of the most challenging public health problems, namely: cancer, cardiovascular disease, and dementia. Applicants must have (or be about to receive) a PhD degree in mathematics or statistics (or a closely related discipline). The ideal candidate will be experienced in one or more of the following areas: statistical shape analysis, functional data analysis, longitudinal data analysis, machine learning, inverse problems, computational analysis, optimisation and/or data science. Experience in parallel computing and C programming skills are desirable. The closing date for applications is 12th July 2020. Informal enquiries can be made to: [log in to unmask] For further information and application instructions please visit http://www.jobs.cam.ac.uk/job/25962/ ------------------------------------------------------- From: Stephen Langdon [log in to unmask] Date: June 08, 2020 Subject: PhD Position, Brunel Univ London Applications are invited for the PhD project: “Deep Learning for Inverse Scattering Problems” For full details, please see: https://www.brunel.ac.uk/research/Research-degrees/PhD-Studentships/Studentship? id=8728e26a-4f02-400b-af85-263f0556bda9 Closing date 26th June 2020 ------------------------------------------------------- End of Digest **************************