Subject: NA Digest, V. 19, # 8 NA Digest Sunday, February 24, 2019 Volume 19 : Issue 8 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: DOE Scientific Machine Learning Workshop Report Available SIAM Data Mining (SDM19), Canada, May 2019 Geometry, Compatibility and Structure Preservation, UK, Jul 2019 Model Reduction of Complex Dynamical Systems, Austria, Aug 2019 Chemnitz Symposium on Inverse Problems, Germany, Sep-Oct 2019 Mathematical Modelling and Computational Methods Czech Republic, Sep 2019 SC19 Call for Panels, USA, Nov 2019 Head of Laboratory/Professorship Position, PSI / EPFL, Switzerland Research Associate Position, Image Analysis, Cambridge Postdoc Position, Univ of Bath PhD Position, School of Computing, Univ of Leeds PhD Positions, Computational Mathematics/Data Science, Hamburg PhD Positions, Optimization and Machine Learning, Czech Technical Univ Contents, J Numer Anal Approx Theory, 47 (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: Steven Lee [log in to unmask] Date: February 23, 2019 Subject: DOE Scientific Machine Learning Workshop Report Available The Department of Energy ASCR workshop report and brochure on "Basic Research Needs for Scientific Machine Learning: Core Technologies for Artificial Intelligence" are posted and can be found directly at: - Report (109 pages) - https://www.osti.gov/biblio/1478744 - Brochure (4 pages) - https://www.osti.gov/biblio/1484362 Scientific Machine Learning (SciML) and Artificial Intelligence (AI) will have broad use and transformative effects across the Department of Energy. Accordingly, the January 2018 Basic Research Needs workshop identified six Priority Research Directions (PRDs) as viewed through the lens of applied mathematics and scientific computing. The six PRDs provide a sound basis for a coherent, long-term research and development strategy in SciML and AI. ------------------------------------------------------- From: Maxwell Hayes [log in to unmask] Date: February 21, 2019 Subject: SIAM Data Mining (SDM19), Canada, May 2019 The SIAM Activity Group on Data Mining and Analytics (SIAG/DMA) is happy to announce that registration and program are now available for SDM19! SIAM International Conference on Data Mining (SDM19) Location: Hyatt Regency Calgary, Calgary, Alberta, Canada Dates: May 2-4, 2019 Registration and the conference program are now posted at https://www.siam.org/conferences/CM/Main/sdm19 PRE-REGISTRATION DEADLINE: April 2, 2019 HOTEL RESERVATION DEADLINE: April 2, 2019 Invited Speakers - Emily Fox, University of Washington. U.S. - Monika Henzinger, University of Vienna, Austria - Francesca Rossi, IBM T.J. Watson Research Centre, U.S. - Laks V. S. Lakshmanan, University of British Columbia, Canada #SIAMSDM19 For additional information, contact the SIAM Conference Department at [log in to unmask] ------------------------------------------------------- From: Douglas N Arnold [log in to unmask] Date: February 19, 2019 Subject: Geometry, Compatibility and Structure Preservation, UK, Jul 2019 Applications are now being accepted to attend the Issac Newton Institute programme Geometry, compatibility and structure preservation in computational differential equations Tutorial Workshop, July 8-12 2019 The purpose of the workshop is to introduce the audience to the wide range of contemporary ideas and tools, originating in geometry and in topology, to design and analyse numerical methods for differential equations. The workshop will feature 5 series of introductory lectures: Algebraic Theory of numerical methods; Finite Element Exterior Calculus; Geometric Numerical Integrators; Geometric PDE and Finite Element; Differential Geometric methods; Lie groups through to Noether's Theorem; as well as survey talks on topics of focus periods of the programme. Full details and a link to the application page can be found at https://www.newton.ac.uk/event/gcsw01 Some financial support is available; this can be requested at the same time as the application to attend. ------------------------------------------------------- From: Tobias Breiten [log in to unmask] Date: February 22, 2019 Subject: Model Reduction of Complex Dynamical Systems, Austria, Aug 2019 The 4th Workshop on Model Reduction of Complex Dynamical Systems (MODRED 2019) will take place from August 28-30, 2019 in Graz, Austria. The conference continues a series of model reduction conferences previously organized in Berlin (2010), Magdeburg (2013), and Odense (2017). Scientific topics include computational methods for model order reduction of dynamical systems, data-driven methods, digital twinning, model reduction methods in applications and surrogate modelling for design and optimization. Keynote speakers: Serkan Gugercin (Virginia Tech), Bernard Haasdonk (University of Stuttgart), Dirk Hartmann (Siemens), Laura Iapichino (TU Eindhoven), J. Nathan Kutz (University of Washington). Proceedings: A special issue on model reduction of complex dynamical systems will appear in the Springer International Series of Numerical Mathematics. Early bird registration (until June 30, 2019) and abstract submission for contributed talks (until March, 31, 2019) is now open. More details can be found under https://imsc.uni-graz.at/modred2019/index.html ------------------------------------------------------- From: Jan-Frederik Pietschmann [log in to unmask] Date: February 18, 2019 Subject: Chemnitz Symposium on Inverse Problems, Germany, Sep-Oct 2019 We are happy to announce that the registration for this year's Chemnitz Symposium on Inverse Problems, on tour in Frankfurt, is now open. The Symposium will take place from September 30th to October 2nd, 2019. All details can be found at https://www.chemnitz-am.de/ipsym2019/ Please feel free to forward this information to anybody who could be interested. ------------------------------------------------------- From: Radim Blaheta [log in to unmask] Date: February 24, 2019 Subject: Mathematical Modelling and Computational Methods Czech Republic, Sep 2019 The 7th Conference MODELLING 2019 on Mathematical Modelling and Computational Methods will be held in Olomouc, Czech Republic, September 16-20, 2019. For the details, see http://www.ugn.cas.cz/link/modelling19 The conference primarily concerns mathematical modelling of processes described by partial differential equations (including certain non PDE applications). It covers various aspects of mathematical modelling including solutions to direct and inverse problems, development of numerical methods, analysis of mathematical models, quantification of uncertainties in input data, exploitation of high performance computing on parallel computers, and modelling of challenging industrial problems. Important dates: March 15, 2019 (deadline for minisymposia proposals), April 30, 2019 Abstract submission. For more deadlines see the conference web. ------------------------------------------------------- From: Min Si [log in to unmask] Date: February 19, 2019 Subject: SC19 Call for Panels, USA, Nov 2019 SC19 Panels Program - Call for Submissions SC19: The International Conference for High Performance Computing, Networking, Storage, and Analysis, November 17-22, 2019, Denver, Colorado, USA SC19 Panels will be held Tuesday-Friday, November 19-22, 2019. Panels create an opportunity for the community to engage in discussion on current HPC challenges and solutions. The goal of the Panels program is to gather diverse practitioners in sharing insightful perspectives, engaging the broader community in dialogue, and making concrete progress toward a specific collaborative goal. We invite you to make a submission and to offer your encouragement and assistance to others in making submissions. Please start your submissions early and refine them until submissions close. Submissions Open: February 15, 2019 Submission Close: April 23, 2019 Notifications Sent: June 15, 2019 Web Submissions: https://sc19.supercomputing.org/submit/panel-submissions/ Email Contact: [log in to unmask] ------------------------------------------------------- From: Daniel Kressner [log in to unmask] Date: February 23, 2019 Subject: Head of Laboratory/Professorship Position, PSI / EPFL, Switzerland PSI and EPFL we are jointly seeking to appoint a dynamic personality with strategic thinking abilities as Head of the Laboratory for Scientific Computing and Modelling (LSM) at PSI, and as tenured Professor of Computational Science and Engineering at EPFL. PSI is a large center for multi-disciplinary research and a world leading user laboratory. It develops and operates large complex infrastructures that require exceptionally high standards of know-how and experience. With 2000 employees, it is an autonomous institution of the Swiss ETH domain. EPFL is a leading university with a strong emphasis on basic, engineering, and life sciences. Research and teaching within its School of Basic Sciences includes computational mathematics, high-performance computing, large-scale simulation, and scientific data analysis. Further details of the position can be found at https://go.epfl.ch/bzt Applications including a motivation letter, a curriculum vitae with a list of research outputs, a statement of research (max. 3 pages) and teaching interests (max. 1 page), as well as the contact information of at least five references, should be submitted in PDF format via https://facultyrecruiting.epfl.ch/position/17104897 until May 17th, 2019. EPFL and PSI are equal opportunity employers and family friendly institutions. They are committed to increasing the diversity among their members. They strongly encourage women to apply. ------------------------------------------------------- From: Carola Schönlieb [log in to unmask] Date: February 21, 2019 Subject: Research Associate Position, Image Analysis, Cambridge Closing date for applications is the 27th of March. Shortcut to the add and more information here http://www.jobs.cam.ac.uk/job/20474/ Research Assistant/Associate: Image Processing (Fixed Term) Applications are invited for a two year Research Associate position to work on a project on light sheet microscopy image analysis. The project is entitled "Scalable image enhancement for light-sheet microscopy: space varying deconvolution and image fusion". The project is funded by the Isaac Newton Trust/Wellcome Trust/University of Cambridge Joint Research Grant awarded to Dr Leila Muresan, an RSE EPSRC fellow hosted by the Cambridge Advanced Imaging Centre. Key collaborators include Cambridge Image Analysis-DAMTP, MRC-LMB and Sainsbury Laboratories Cambridge University (SLCU). With the advent of light sheet microscopy, imaging of large volumes (e.g. entire embryos) over several days became a reality. However the analysis of acquired datasets (on the order of terabytes) remains a challenge. The goal of the project is to develop the computational tools that will allow to unlock the potential of this technique. The image quality will be enhanced via space varying deconvolution and information fusion. The downstream analysis of the datasets will be explored. The developed algorithms will be tested and refined based on the data acquired by several light-sheet systems in CAIC, LMB and SLCU. The successful candidate should have, or be about to receive, a PhD in computer science, applied mathematics or a related area. Experience in image processing in an interdisciplinary research environment is required. Experience in optimisation, inverse problems, data science, microscopy and high performance computing would be advantageous. Given the interdisciplinary nature of the project, you will communicate and liaise with biologists, mathematicians, engineers and physicists forming collaborative relationships. Fixed-term: The funds for this post are available for 2 years in the first instance. To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form. Informal enquires regarding the position should be made to Dr Leila Muresan email: [log in to unmask] . Please quote reference PM18217 on your application and in any correspondence about this vacancy. The University values diversity and is committed to equality of opportunity. The University has a responsibility to ensure that all employees are eligible to live and work in the UK. ------------------------------------------------------- From: Euan Spence [log in to unmask] Date: February 22, 2019 Subject: Postdoc Position, Univ of Bath 3-year postdoc at the University of Bath in Numerical Analysis of PDEs for wave propagation. More details here: https://www.bath.ac.uk/jobs/Vacancy.aspx?ref=CC6532 ------------------------------------------------------- From: Thomas Ranner [log in to unmask] Date: February 21, 2019 Subject: PhD Position, School of Computing, Univ of Leeds PhD students are sought in the School of Computing at the University of Leeds, UK. These studentships form part of a larger collaborative and interdisciplinary project, that currently includes two academics (Dr Thomas Ranner and Professor Netta Cohen), a postdoctoral fellow and three PhD students. Funding is available for UK and EU students. We are seeking to appoint up to three further PhD candidates: one on the mathematical understanding of numerical methods for biomechanical models (Dr Thomas Ranner), one on modelling the neural control of behaviour (Professor Netta Cohen) and one experimental project, combining behavioural experiments and machine vision (Professor Netta Cohen). All projects are envisioned within this multidisciplinary setting. Deadline: 15/03/2019 More information (including contacts) is available at: https://tomranner.org/post/funded-phd-place/ ------------------------------------------------------- From: Sabine Le Borne [log in to unmask] Date: February 20, 2019 Subject: PhD Positions, Computational Mathematics/Data Science, Hamburg The recently established "Data Science in Hamburg Helmholtz Graduate School" (DASHH) is inviting applications for 14 PhD positions (full-time employment, 3 years). The research projects address data challenges from application fields such as structural biology, particle physics, material science and ultrafast X-ray science. We are looking for applicants with a strong background in computer science, applied mathematics or the natural sciences, preferably with an interdisciplinary training at the interface of natural and computer science or mathematics. Application deadline: March 31, 2019 For more information, see www.dashh.org ------------------------------------------------------- From: Vyacheslav Kungurtsev [log in to unmask] Date: February 22, 2019 Subject: PhD Positions, Optimization and Machine Learning, Czech Technical Univ Four PhD positions are available at the Department of Computer Science, Faculty of Electrical Engineering (FEL), Czech Technical University in Prague, starting September, 2019. Two PhD positions are available under the co-supervision of Drs. Vyacheslav Kungurtsev and Filip Zelezny, both at FEL. The focus will be on continuous optimization algorithms for machine learning, with the potential topic of the relationship between generalization (training versus test accuracy) and choice of optimization algorithm used for training deep neural networks. Correspondingly, we are seeking applicants with a masters degree in Mathematics, Informatics, Computer Science, or working towards one. The applicant should be familiar with Machine learning, especially deep neural networks, and Continuous optimization. A PhD position is available under the co-supervision of Drs. Vyacheslav Kungurtsev (Czech Technical University) and Jakub Marecek (IBM Research -- Ireland). The focus will be on incorporating methods from control engineering in algorithms for non-convex optimization, such as in the training deep neural networks as well as incorporating machine learning in control engineering. Correspondingly, we are seeking applicants with a masters degree in Mathematics, Control Engineering, Cybernetics, Informatics, Computer Science, or working towards one. The applicant should be familiar with at least one of: 1) Machine learning, especially deep neural networks 2) Linear control theory (PID, integral-quadratic controllers, etc.) 3) Nonlinear control theory 4) Continuous optimization. A PhD student position is available in the Department of Computer Science, Faculty of Electrical Engineering at Czech Technical University in Prague, under the co-supervision of Drs. Vyacheslav Kungurtsev (Czech Technical University), Jakub Marecek (IBM Research -- Ireland), and Didier Henrion (LAAS-CNRS). The focus will be on semidefinite programming, which is a branch of convex optimization with extensive applications in control engineering, power systems, signal processing, and statistics. Potential topics include those related to time-dependent problems, semidefinite programming under uncertainty, distributed solvers, and solvers specialised to low-rank problem, with details to be agreed upon. Correspondingly, we are seeking applicants with a Masters degree in Mathematics, Informatics, Computer Science, or similar, or working towards one, and with programming experience in MATLAB. Funding is available for an internationally competitive salary and travel expenses for four years, starting in September 2019. Requests for further information and applications, including a cover letter and a CV, should be addressed to Dr. Vyacheslav Kungurtsev ([log in to unmask]) ------------------------------------------------------- From: JNAAT [log in to unmask] Date: February 23, 2019 Subject: Contents, J Numer Anal Approx Theory, 47 (2) Journal of Numerical Analysis and Approximation Theory published since 1972 http://ictp.acad.ro/jnaat Caputo fractional approximation by sublinear operators, G.A. Anastassiou Ball convergence for an Aitken-Newton method, I.K. Argyros, M. Kansal, V. Kanwar A Stancu type extension of Cheney and Sharma operators, T. Bostanci, G. Bascanbaz-Tunca Shape preserving properties and monotonicity properties of the sequences of Choquet type integral operators, S. Gal Linear complementarity problems solvable as linear programs, Z. Kebbiche Generalized growth and approximation errors of entire harmonic functions in Rn, n>=3, D. Kumar Approximations of objective function and constraints in bi-criteria optimization problems, T.I. Luca, D.I. Duca An infeasible interior point methods for convex quadratic problems, H. Roumili, N. Boudjellal Book reviews ------------------------------------------------------- End of Digest **************************