Subject: NA Digest, V. 22, # 15 NA Digest Monday, May 09, 2022 Volume 22 : Issue 15 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: Charles W. (Bill) Gear GALAHAD 4.0, nonlinear optimization Workshop Celebrating Simon Chandler-Wilde at 60, UK, Jun 2022 Large-scale Models, Bulgaria, Aug 2022 Model Reduction and Surrogate Modeling (MORE), Germany, Sep 2022 Visiting Assistant Professor Position, Michigan Technological Univ Lecturer/Assistant Professor Position, Data Assimilation, UK Postdoc Position, OT&ML for Inverse Problems, TU Eindhoven Research Scientist/Postdoc Position, Multiple Areas, SZU PhD Position, Computational Mathematics, Umea Univ, Sweden 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: Linda Petzold [log in to unmask] Date: May 08, 2022 Subject: Charles W. (Bill) Gear Charles W. (Bill) Gear, a prominent computer scientist particularly known for his work in numerical analysis, died in Princeton, New Jersey on March 15 at the age of 87. Born to working-class parents in London, Bill studied at Cambridge University on a full scholarship. Upon graduation in 1956, he headed to the University of Illinois at Urbana-Champaign to learn about computers, still in the early stages of development. Initially intending to stay only for a year, he remained to earn a mathematics Ph.D. in 1960. Upon completing his degree, he went to work at IBM British Laboratories in Hursley. Two years later, Bill returned to the University of Illinois, where he rose through the faculty ranks from Assistant Professor of Computer Science and Applied Mathematics to Full Professor in 1969 and, in 1985, Head of the Computer Science Department. In 1990 he was named Vice President of the Computer Science Research Division at the nascent NEC Research Institute in Princeton, New Jersey. There, he established its computer division, and two years later became President of the Institute, which also supported physics research. After retiring in 2000, Bill soon became a part-time senior scientist at Princeton University, where he continued research work in collaboration with Yannis Kevrekidis. A member of the National Academy of Engineering since 1991, Bill was elected five years later to Fellow of the American Academy of Arts and Sciences. In 1987 he received an Honorary Doctorate from the Royal Institute of Technology in Stockholm. Also a Fellow of the Institute of Electrical and Electronics Engineers, in 1987-88 he served as President of the Society for Industrial and Applied Mathematics. Among his many accomplishments, Bill's work on the numerical solution of stiff ODEs and DAEs, together with his pioneering automatic software DIFSUB, was widely impactful in science, engineering, and computational applied mathematics. In the SIAM community, Bill was widely known and highly respected not only for his research contributions, but for his excellent judgment and willingness and ability to see all sides of an argument, and for his love of a good party! We honor his career and his life. Linda Petzold and Yannis Kevrekidis ------------------------------------------------------- From: Nick Gould [log in to unmask] Date: May 04, 2022 Subject: GALAHAD 4.0, nonlinear optimization We are delighted to announce the release of version 4 of the open-source GALAHAD Fortran software library for solving nonlinear optimization problems. A defining feature of this new release are native interfaces to C and Matlab. The library contains software for linear and quadratic programming, unconstrained, bound-constrained and general-constrained optimization, nonlinear least squares, and approximate global optimization, as well as a large variety of auxiliary methods for linear and nonlinear sub-problem solution. Full documentation and installation scripts for Linux, Mac and MinGW are provided, and a variety of compilers are supported. The software is available under the LGPL 3.0 licence. For more details see https://www.galahad.rl.ac.uk and for download instructions visit https://github.com/ralna/GALAHAD/wiki Jari Fowkes and Nick Gould, STFC-Rutherford Appleton Laboratory ------------------------------------------------------- From: Stephen Langdon [log in to unmask] Date: May 09, 2022 Subject: Workshop Celebrating Simon Chandler-Wilde at 60, UK, Jun 2022 The workshop: "Scattering and propagation of waves: theoretical and computational challenges", celebrating Simon Chandler-Wilde's 60th birthday (postponed from 2020, when Simon was 60) will be held at the University of Reading 27th-29th June 2022. Thanks to the the QJMAM Fund for Applied Mathematics, there is money available to support UK-based PhD students attending this conference. Full details can be found at: https://sites.google.com/view/scw60/ ------------------------------------------------------- From: Krassimir Georgiev [log in to unmask] Date: May 09, 2022 Subject: Large-scale Models, Bulgaria, Aug 2022 Special Session on Large-scale Models: Numerical Methods, Parallel Computations and Applications will be organized during the 10th International Conference on Numerical Methods and applications (NMA'22). The conference will take place in Borovets (a very nice resort place about 60 km from Sofia, Bulgaria) in the period August 22 to August 26, 2022 (see details: http://www.math.bas.bg/~nummeth/nma22/index.html ). Proceedings will be published in the distinguish Springer Series: Lecture Notes in Computer Science. Extended papers from this session will probably be published (as was done in the previous conferences) in an international journal with high index. Important deadlines: Deadline for submission of abstracts: January 15, 2019 Notification of acceptance of the talks: January 31, 2019 Deadline for registration: February 15, 2019 Deadline for submission of full papers: March 1, 2019 An online registration will be opened. E-mails: [log in to unmask], [log in to unmask] ; [log in to unmask] ------------------------------------------------------- From: Tobias Breiten [log in to unmask] Date: May 07, 2022 Subject: Model Reduction and Surrogate Modeling (MORE), Germany, Sep 2022 Model Reduction and Surrogate Modeling (MORE), Germany, Sep 2022 Registration for the first "Model Reduction and Surrogate Modeling (MORE)" conference in Berlin, Germany, on 19-23 September 2022 is now *open*. Deadlines: - June 15, 2022 (early bird) - July 31, 2022 (late registration) Caution: participants are encouraged to take care of room reservations as early as possible - hotel limitations due to InnoTrans and Berlin Marathon. More details on the conference are available at: https://more.sciencesconf.org ------------------------------------------------------- From: Jiguang Sun [log in to unmask] Date: May 04, 2022 Subject: Visiting Assistant Professor Position, Michigan Technological Univ The Department of Mathematical Sciences at Michigan Technological University invites applications for a Visiting Assistant Professor. Michigan Tech attracts world-class faculty who enrich the educational experience of smart, motivated, and adventurous students. Applicants who are committed to promoting a sense of belonging and contributing to an equitable and inclusive learning environment for all are strongly encouraged to apply (https://www.mtu.edu/diversity-inclusion/). Essential Duties & Responsibilities (other duties may be assigned) Conducting high-quality research supervised by one or more current faculty of the department, participating in research proposal writing, and teaching 3 courses per year. Required Education (minimum requirements) Ph.D. in mathematics or statistics by Aug. 15, 2022. Required Experience (minimum requirements) Research experience in machine learning, computational mathematics, Bayesian statistics, and teaching experience of undergraduate mathematics or statistics courses. For more information and to apply for the position go to https://www.employment.mtu.edu/cw/en-us/job/492819 ------------------------------------------------------- From: Amos Lawless [log in to unmask] Date: May 04, 2022 Subject: Lecturer/Assistant Professor Position, Data Assimilation, UK We are looking to appoint a permanent Lecturer in Data Assimilation (equivalent to assistant professor) in the Data Assimilation Research Centre (DARC) at the University of Reading. DARC involves 8 academic staff and around 20 research staff and students. DARC has a strong research record in data assimilation theory and applications, collaborating with scientists in operational centres such as the Met Office and ECMWF, as well as with the NERC National Centre for Earth Observation and other academic and industry groups. The post is a joint position between the Department of Mathematics and Statistics and the Department of Meteorology. The closing data for applications is 12 June 2022. Full details are available at https://jobs.reading.ac.uk/displayjob.aspx?jobid=10510 Any questions about the post can be addressed to Amos Lawless [log in to unmask] or Sarah Dance [log in to unmask] ------------------------------------------------------- From: Olga Mula [log in to unmask] Date: May 04, 2022 Subject: Postdoc Position, OT&ML for Inverse Problems, TU Eindhoven TITLE: Optimal Transport & Machine Learning for Inverse Problems DURATION: 2 years We are looking for a postdoctoral who will join the research group on Data-Driven Scientific Computing, located at CASA, the Center for Analysis, Scientific Computing and Applications of TU Eindhoven. The candidate is expected to develop numerical methods for inverse problems where the goal is to recover the state of a physical system based on a limited set of noisy partial observations. The study will focus on physical phenomena that are modeled with high-dimensional PDEs involving strong advection effects. Examples of such equations can be conservation laws, transport or kinetic equations, Fokker-Planck equations, or Mean Field Game Equations. For this type of advection-dominated problems, it is known that classical linear approximation methods are not well suited. The postdoctoral candidate will address this problem by developing nonlinear methods based on optimal transport, and machine learning. In order to address high dimensionality, and many-query evaluations, nonlinear model order reduction of parametric PDEs may be required. Candidates with strong coding experience are welcome to apply. Candidates without coding experience but with strong background in analysis are also welcome to apply. Further information and instructions on how to apply: https://jobs.tue.nl/en/vacancy/postdoc-optimal-transport-machine-learning-methods-for-inverse-problems-931081.html ------------------------------------------------------- From: J. Lu [log in to unmask] Date: May 06, 2022 Subject: Research Scientist/Postdoc Position, Multiple Areas, SZU Job Type: Full-Time for Research Scientist / PostDoc Duration: 2 years Number of Position: 2 Positions Salary: about 340,000 RMB (about 52530 US dollars) -- 420,000RMB (about 64890 US dollars) per year. Description: We have projects that are looking for Research Scientists/Postdoc in Optimization, Computer Vision, Image/Video/Signal Processing/Analysis, Matrix theory, Harmonic Analysis, Wavelet, Machine Learning, etc. We have no teaching tasks. Promotors: Prof. Jian Lu (Shenzhen Key Laboratory of Advanced Machine Learning and Applications, College of Mathematics and Statistics, Shenzhen University, Shenzhen, China. email: [log in to unmask]; [log in to unmask]) Those who are interested in Research Scientist/Postdoc please send their C.V. to Prof. Dr. Jian Lu (email: [log in to unmask]; [log in to unmask]). ------------------------------------------------------- From: Siyang Wang [log in to unmask] Date: May 09, 2022 Subject: PhD Position, Computational Mathematics, Umea Univ, Sweden A PhD position in computational mathematics is available in the Department of Mathematics and Mathematical Statistics, Umea University, Sweden. The application deadline is May 31, 2022. The aim of this PhD project is a robust and efficient numerical technique for large-scale wave propagation problems. We will focus on the numerical analysis aspect but will also target realistic 3D models in physics. For more information and instructions on how to apply, please see https://www.umu.se/en/work-with-us/open-positions/phd-position-in-computational-methods-for-wave-propagation-_504751/ ------------------------------------------------------- End of Digest **************************