Subject: NA Digest, V. 19, # 29 NA Digest Sunday, July 28, 2019 Volume 19 : Issue 29 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: IMA Flood Risk, UK, Sep 2019 Deadline Extension, SIAM Combinatorial Scientific Computing, USA, Feb 2020 Tenure Track Faculty Position, Applied Mathematics, CSU Fullerton Postdoc Position, Inverse Problems and Optimisation, Univ of Bath Postdoc Position, Lawrence Berkeley National Laboratory Postdoc Position, Machine Learning, Freie Univ Berlin Postdoc Position, RICAM, Austria Postdoc Position, Tensor Methods/Machine Learning, France Postdoc Positions, Deep Learning and Software Engineering Graduate Research Assistant Position, Deep Learning , Los Alamos NL PhD and Postdoc Position, RICAM PhD/Postdoc Position, Optimization, Magdeburg PhD Position, Thermodynamic Modeling and Analysis, Germany PhD Positions, NA/Scientific Computing, Univ of Innsbruck Contents, Acta Numerica 28 (2019) Contents, Evolution Equations and Control Theory, 8 (4) 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: Pamela Bye [log in to unmask] Date: July 24, 2019 Subject: IMA Flood Risk, UK, Sep 2019 4th IMA International Conference on Flood Risk 12-13 September 2019 Swansea University Bay Campus, Wales, UK Continuing from the successful series of previous IMA Conferences on Flood Risk, the IMA is planning its 4th International Conference on this topic in 2019 to bring together engineers, mathematicians and statisticians working in the field. The conference intends to be used as a forum for participants to meet and exchange their views on important technical issues, new and emerging methods and technologies in assessing flood risks in a world that is being altered by the climate change and moving towards an uncertain future. The emphasis will be on new developments in mathematical modelling methods, statistical techniques in assessing flood risks, especially on quantification of flood risks with a nonstationary climate and modelling uncertainty. Methods and application of assimilating new data from cutting-edge new type of observations will be among the topics for discussion. The conference will be of interest to flood defence practitioners; flood defence managers; statisticians, mathematicians, civil engineers. Invited Speakers - Prof Michael Bruen, University College Dublin, Ireland - Prof Guoqing Wang, Nanjing Hydraulic Research Institute, China - Dr Judith Wolf , National Oceanography Centre, UK - Dr Francesca Pianosi ,Bristol University, UK Registration is now open via https://my.ima.org.uk/ For further information about this Conference, please visit our website: https://ima.org.uk/11325/4th-ima-international-conference-on-flood-risk/ ------------------------------------------------------- From: Sherry Li [log in to unmask] Date: July 26, 2019 Subject: Deadline Extension, SIAM Combinatorial Scientific Computing, USA, Feb 2020 The CSC20 workshop will be held February 11-13, 2020, in Seattle, Washington, USA. It will be co-located with the SIAM Conference on Parallel Processing for Scientific Computing 2020 (PP20), February 12-15, 2020. We are extending the paper submission deadline from August 1 to August 15, 2019. Please see the following website for submission details: https://csc20.uni-jena.de/submissions.html ------------------------------------------------------- From: Renee Bennett [log in to unmask] Date: July 26, 2019 Subject: Tenure Track Faculty Position, Applied Mathematics, CSU Fullerton The Department of Mathematics at California State University, Fullerton invites applications for a tenure-track position in applied mathematics at the Assistant Professor level with appointment to begin in August 2020. Candidates for this position should be applied mathematicians with a background in computation, numerical analysis, machine learning, and mathematical modeling (with preference for statistical modeling). Responsibilities include teaching undergraduate and graduate courses, conducting research resulting in publications in high-quality peer-reviewed journals, directing faculty-student collaborative research, and advising students. The successful candidate will contribute to the mathematics community at CSUF through teaching, research, professional activities, and service on committees. In particular, they will be expected to solicit industrial consulting projects for our graduate program in applied math, mentor the students in completing these projects, and participate in the transdisciplinary Center for Computational and Applied Mathematics (CCAM) within the College of Natural Sciences and Mathematics. Required Qualifications The qualified candidate must have a Ph.D. in applied mathematics or a related field, plus at least one year of post-doctoral experience either in research, teaching, or a related industrial field. Application Procedure To apply, visit https://careers.pageuppeople.com/873/fl/en-us/listing to view all job listings and search by ID Number 493543. Application Deadline To be assured full consideration, all application materials must be received by October 07, 2019. ------------------------------------------------------- From: Matthias J Ehrhardt [log in to unmask] Date: July 23, 2019 Subject: Postdoc Position, Inverse Problems and Optimisation, Univ of Bath A position exists for a Research Associate to work on the development of algorithms for large-scale tomographic image reconstruction This post is part of a collaborative project between mathematicians in Bath and Cambridge, medical researchers and clinicians from Addenbrookes' hospital and GE Healthcare, with support from advisors from UCL, Oxford, Kings College London, University of Helsinki and KTH Stockholm. See https://petpp.github.io for more details. The successful candidate will have, or will be nearing the completion of, a PhD degree in mathematics or a closely related subject. Expertise in either optimisation, inverse problems or medical imaging is desired. The post carries no teaching or administrative duties. There are generous funds available under the project for attending conferences and conducting research visits. This post is fixed-term for 3 years, starting on or as soon as possible after 1 September 2019 by mutual agreement. Informal enquiries about the role can be made to Dr Matthias Ehrhardt ([log in to unmask]), however, please ensure that your application is submitted via the University website. For more details, see https://www.bath.ac.uk/jobs/Vacancy.aspx?ref=CC6696R ------------------------------------------------------- From: Roel Van Beeumen [log in to unmask] Date: July 23, 2019 Subject: Postdoc Position, Lawrence Berkeley National Laboratory Berkeley Lab's Computational Research Division has an opening in the Scalable Solvers Group for a Postdoctoral Scholar in the area of Applied Mathematics with an emphasis on Quantum Computing. The successful candidate will participate in research activities related to the development of mathematical tools for quantum compiling that are relevant to DOE and LBNL missions. What You Will Do: - Develop new and efficient numerical algorithms for quantum compiling / quantum circuit synthesis: the transformation of quantum algorithms into a sequence of quantum gates. - Develop and optimize numerical linear algebra techniques for accelerating quantum compiling on near-term quantum hardware. - Develop high performance software tools that can be integrated with quantum compilers. - Work in a multidisciplinary team environment including mathematicians, computer scientists, and domain scientists. - Author peer-reviewed journal articles. What is Required: - PhD in Mathematics, Computer Science, Computational Science, or Engineering with a strong background in numerical linear algebra and multi-linear (tensor) algebra. - Knowledge of matrix decompositions, iterative methods, approximation theory, sparse matrix techniques, and optimization is highly desirable. - Demonstrated experience to program proficiently in a high-level programming language, such as C++/C/FORTRAN. - Experience in parallel computing and be able to use MPI and OpenMP. - Excellent verbal and written communication skills. Additional Desired Qualifications: - Knowledge of performance optimization for scientific codes. - Knowledge of perturbation analysis and unitary matrix factorizations. - Knowledge of quantum computing and quantum information is a plus. Application can be submitted at: https://jobs.lbl.gov/jobs/computational-mathematics-postdoctoral-scholar-1959 ------------------------------------------------------- From: John Maddocks [log in to unmask] Date: July 22, 2019 Subject: Postdoc Position, Machine Learning, Freie Univ Berlin In the context of a collaboration between Professors Ch. Schuette (http://www.zib.de/schuette/) and J.H. Maddocks (https://lcvmwww.epfl.ch/) supported by an Einstein Foundation Berlin Visiting fellowship (https://www.einsteinfoundation.de/en/people-projects/einstein-visiting-fellows/) there is a postdoc position available to work on establishing connexions between consensus protein binding site sequences and the physical characteristics of the associated DNA fragment. The objective of the project is to use the coarse-grain cgDNA model http://cgdnaweb.epfl.ch/ https://lcvmwww.epfl.ch/research/cgDNA/ to generate Gaussian approximations to the localised equilibrium distributions of the DNA configuration in sliding windows along genomes, with machine learning techniques used to characterise the significant common features of the cgDNA Gaussians at known binding sites for various proteins as identified in bioinformatics data bases. The ideal candidate would hold a computationally oriented PhD with a background in one or more of machine learning, bioinformatics and mathematical modelling. The position is available as soon as 1.9.2019 with the ideal start date being no later than 1.1.2020. In the first instance the contract will be for 12 months, with the possibility of renewal on mutual consent at least for a further year. Applications containing a CV and publication list, a motivational statement, and names and email addresses of three possible referees should be sent to [log in to unmask] ------------------------------------------------------- From: Stefan Takacs [log in to unmask] Date: July 24, 2019 Subject: Postdoc Position, RICAM, Austria We offer one research position for a Post Doc (one or two years) within the project "Fast Solvers for Isogeometric Analysis" at the Johann Radon Institute for Applied and Computational Mathematics (RICAM) in Linz, Austria. The project is scheduled to start within the year 2019. More information can be found online: http://www.numa.uni-linz.ac.at/~stefant/personal/Call_PostDoc_RICAM_P31048.pdf ------------------------------------------------------- From: Konstantin Usevich [log in to unmask] Date: July 25, 2019 Subject: Postdoc Position, Tensor Methods/Machine Learning, France We are happy to advertise a 1-year (renewable) postdoctoral position to work on novel tensor-based methods for learning neural network representations. The successful candidate will be employed by the CNRS and based in the CRAN laboratory (Nancy, France). For more details, please see http://w3.cran.univ-lorraine.fr/konstantin.usevich/?q=postdoc2019 . ------------------------------------------------------- From: Bradley Treeby [log in to unmask] Date: July 22, 2019 Subject: Postdoc Positions, Deep Learning and Software Engineering We are currently advertising for two new post-docs to join the biomedical ultrasound group. One is in the area of deep-learning, the other in software engineering. Further details can be found at http://bug.medphys.ucl.ac.uk/vacancies ------------------------------------------------------- From: Youzuo Lin [log in to unmask] Date: July 25, 2019 Subject: Graduate Research Assistant Position, Deep Learning , Los Alamos NL The T-5 Applied Mathematics and Plasma Physics Group in Theoretical Division at Los Alamos National Laboratory (LANL) has an immediate opening for a creative and resourceful Graduate Research Associate with strong deep learning, programming, and computational science skills. As a Research Associate, the selected candidate will develop novel deep learning techniques and apply them to various applications such as image analysis, time-series classification, and event detection. The term of the appointment is 1 to 2 years; depending on the performance and funding availability there are opportunities to extend the appointment by transitioning to other types of LANL positions. Minimum Job Requirements: Record of proficiency in deep learning frameworks such as PyTorch, TensorFlow, Caffe2, or Keras; Record of proficiency in Python; Demonstrated ability to work independently and as a member of a team, with good communication skills; Demonstrated ability to quickly learn new skills and knowledge in a fast-paced research environment; Experience in application and development of imagery analysis, computer vision, and signal processing applications; Can provide sample code of previous work; Publication record in high-impact journals, top-tier machine learning, and related conferences would be a significant advantage. Education: Completion of a Master's degree in Computer Science, Electrical Engineering, Applied Mathematics, Computational Sciences, or a related field within the past 3 years (Ph.D. students without a Master degree are qualified for this position.); Cumulative GPA of at least a 3.2 is required. The position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks. Search for IRC75089 under jobs.lanl.gov or directly apply here: https://jobszp1.lanl.gov/OA_HTML/OA.jsp? page=/oracle/apps/irc/candidateSelfService/webui/VisVacDispPG&OAHP=IRC_EXT_SITE_VIS ITOR_APPL&OASF=IRC_VIS_VAC_DISPLAY&akRegionApplicationId=821&trans\ actionid=2096014678&retainAM=N&addBreadCrumb=RP&p_svid=75089&p_spid=3411354 &oapc=9&oas=piUSZIthr9y1DH_O-XPGCg.. As part of the application process, please upload your transcripts, cover letter, and resume. In addition to applying on-line, please send a cover letter detailing qualifications, a curriculum vitae/resume, and names of three references to Dr. Youzuo Lin ([log in to unmask]) and Dr. Brendt Wohlberg ([log in to unmask]). The positions remain open until they are filled. ------------------------------------------------------- From: Mourad Sini [log in to unmask] Date: July 24, 2019 Subject: PhD and Postdoc Position, RICAM One PhD, for 36 months, and two Postdoc positions, for 24 months each, are available starting from February 1st 2020. These positions are supported by the project 'Electromagnetism with Extreme Materials: Modeling, Analysis and Applications' funded by the Austrian Science Fund FWF. PhD position. The candidate is required to have a Master degree, or an equivalent one, in mathematical analysis or applied mathematics. The application for this position includes: CV, Master degree, Master thesis and names/emails of at least two persons who are willing to write recommendation letters if needed. Postdoc positions. The candidate are required to have a PhD degree or an equivalent one in topics related to the analysis of PDE's and applications. We are, in particular, seeking for candidates who are familiar with integral equations or /and asymptotic analysis methods. The application for this position includes: CV, PhD degree, PhD thesis (or research articles if available), motivation letter and names/emails of at least two persons who are willing to write recommendation letters if needed. The documents can be sent (in one pdf file) to Mourad Sini ([log in to unmask]). The deadline for application is December 31st 2019. The selected candidates will be located at RICAM (https://www.ricam.oeaw.ac.at/), Linz, Austria. ------------------------------------------------------- From: Sebastian Sager [log in to unmask] Date: July 22, 2019 Subject: PhD/Postdoc Position, Optimization, Magdeburg At the Institute for Mathematical Optimization at Otto-von-Guericke Universitat Magdeburg, Germany, a fully funded position (TVL E13) for a Phd student or postdoctoral researcher is available. Depending on the scientific interest of the candidate the position will be linked to one of the working groups of Prof. Sebastian Sager or Prof. Volker Kaibel. The position involves a teaching duty of four hours per week. The research of the institute covers a wide spectrum in continuous and discrete optimization. The DFG Research Training Group 'Mathematical Complexity Reduction' (https://www.mathcore.ovgu.de) and the active research environment of the institute offer many possibilities for PhD students and postdocs. For further information look at http://www.math.uni-magdeburg.de/institute/imo/ag_kaibel/ or https://mathopt.de. If interested, please contact [log in to unmask] or [log in to unmask] ------------------------------------------------------- From: Heike Sill [log in to unmask] Date: July 24, 2019 Subject: PhD Position, Thermodynamic Modeling and Analysis, Germany The Weierstrass Institute for Applied Analysis and Stochastics (WIAS) is an institute of the Forschungsverbund Berlin e.V. (FVB). The FVB comprises eight non-university research institutes in Berlin which are funded by the federal and state governments. The research institutes are members of the Leibniz Association. WIAS invites applications for a PhD Student Position (f/m/d) (Ref. 19/20) in the Research Group 'Thermodynamic Modeling and Analysis of Phase Transitions' (Acting Head: Prof. Dr. Barbara Wagner) starting at the earliest possible date. The position is associated with the research project "Dynamic Wetting and de-wetting of viscous liquid drops/films on viscoelastic materials" within the framework of the newly established DFG Priority Programme "Dynamic Wetting of Flexible, Adaptive and Switchable Surfaces" (SPP 2171). Within the first funding period (2019-2022) the research will focus on mathematical modeling, analysis and numerical solution of dynamics and morphologies of liquids interacting with soft, viscoelastic and responsive materials. The aim is to discover the underlying fundamental physical principles for these systems and derive and analyse appropriate mathematical models to understand, predict and design many of their technological and biological applications. The research will be conducted in collaboration with experimentlists and other theoretical scientists as well as doctoral students within the Priority Pogramme SPP2171. The successful candidate will hold a Master degree in Mathematics or Physics. The applicant should have a solid background in mathematical analysis and/or numerical methods involving partial differential equations and welcome interdisciplinary research. Proficiency in computer languages will be an asset. Please direct your queries to Prof. Dr. Barbara Wagner ([log in to unmask]). The appointment is initially limited for three years. The reduced work schedule is 29,25 hours per week, and the salary is according to the German TVoeD scale. The Institute aims to increase the proportion of women in this field, so applications from women are particularly welcome. Among equally qualified applicants, disabled candidates will be given preference. Among equally qualified applicants, disabled candidates will be given preference. Please upload your complete application documents (motivation letter, detailed CV, certificates, list of MSc courses and grades, copy of the master thesis, reference letter, etc.) via our website or via the applicant portal until September 30th, 2019 using the button "Apply online". ------------------------------------------------------- From: Alexander Ostermann [log in to unmask] Date: July 27, 2019 Subject: PhD Positions, NA/Scientific Computing, Univ of Innsbruck The numerical analysis group [1] at the University of Innsbruck is looking to fill a number of PhD positions in the area of numerical analysis and scientific computing. Successful applicants will be employed as 'Doctoral candidates'. Potential candidates are encouraged to contact either Alexander Ostermann ([log in to unmask]) or Lukas Einkemmer ([log in to unmask]). In particular, there are openings for the following four positions. - PhD position funded by the University of Innsbruck. More information can be found at [2]. The deadline for application is the 4th of August 2019. - PhD position within the framework of the FWF project 'Exponential Integrators for Problems in Magnetohydrodynamics'. More information can be found at [3]. Applications that arrive before 30.09.2019 will be given preferential treatment. - Two PhD positions are open in the Marie Sklodowska-Curie project 'DOCC: Dynamics of Complex Continua'. More information on the application process can be found at [4]. The deadline is the 10th of September 2019. [1] https://numerical-analysis.uibk.ac.at/ [2] https://orawww.uibk.ac.at/public/karriereportal.details?asg_id_in=10701 [3] https://numerical-analysis.uibk.ac.at/images/fwf-position.pdf [4] https://docc.eu ------------------------------------------------------- From: Arieh Iserles [log in to unmask] Date: July 22, 2019 Subject: Contents, Acta Numerica 28 (2019) The contents of Acta Numerica 2019 are Solving inverse problems using data-driven models, Simon Arridge, Peter Maass, Ozan Oktem, Carola-Bibiane Schonlieb Numerical analysis of hemivariational inequalities in contact mechanics, Weimin Han, Mircea Sofonea Derivative-free optimization methods, Jeffrey Larson, Matt Menickelly, Stefan M. Wild Numerical methods for Kohn-Sham density functional theory, Lin Lin, Jianfeng Lu, Lexing Ying Approximation algorithms in combinatorial scientific computing, Alex Pothen, S. M. Ferdous, Fredrik Manne Data assimilation: The Schrodinger perspective, Sebastian Reich ------------------------------------------------------- From: lasiecka [log in to unmask] Date: July 22, 2019 Subject: Contents, Evolution Equations and Control Theory, 8 (4) The new issue EECT 8-4 December 2019 regular issue is now online. https://www.aimsciences.org/journal/A0000-0000/2019/8/4 EVOLUTION EQUATIONS AND CONTROL THEORY Volume 8 Number 4 December 2019 CONTENTS Mohamed Ouzahra, Controllability of the semilinear wave equation governed by a multiplicative control Jamel Ben Amara and Emna Beldi, Simultaneous controllability of two vibrating strings with variable coecients Duo Wang, Zheng-Fen Jin and Youlin Shang, A penalty decomposition method for nuclear norm minimization with l1 norm delity term Hongwei Wang and Amin Esfahani, Well-posedness and asymptotic behavior of the dissipative Ostrovsky equation Giuseppe Maria Coclite and Lorenzo di Ruvo, Discontinuous solutions for the generalized short pulse equation Suma'inna, Hirokazu Saito and Yoshihiro Shibata, On some nonlinear problem for the thermoplate equations Julius Fergy T. Rabago and Hideyuki Azegami, A new energy-gap cost functional approach for the exterior Bernoulli free boundary problem Ryo Ikehata and Shingo Kitazaki, Optimal energy decay rates for some wave equations with double damping terms Adriana Flores de Almeida, Marcelo Moreira Cavalcanti and Janaina Pe- droso Zanchetta, Exponential stability for the coupled Klein-Gordon- Schrodinger equations with locally distributed damping Mattia Turra, Existence and extinction in nite time for Stratonovich gradient noise porous media equations Cecilia Cavaterra, Denis Enachescu and Gabriela Marinoschi, Sliding mode control of the Hodgkin{Huxley mathematical model ------------------------------------------------------- End of Digest **************************