Subject: NA Digest, V. 21, # 48 NA Digest Sunday, December 26, 2021 Volume 21 : Issue 48 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: 2021 Babuska Prize Awarded Software Release, pyMOR 2021.2 New Book, Applied Numerical Linear Algebra ICCOPT/MOPTA, USA, Jul 2022 Multiple Professor Positions, CS, Hong Kong Baptist Univ Assistant Professorship Position, UTwente Postdoc Position, Climate Change Data Science, BCAM Postdoc Position, Math Optimization and Data Science, Lehigh Univ Postdoc Position, Optimization, Umea Univ Postdoc Position, Scientific Machine Learning Postdoc Position, Statistical Finite Elements, Univ of Cambridge PhD Position, Bioinformatics/Comp Biology, Univ of Memphis PhD Positions, Mine Electrification, Univ of Adelaide, Australia CFP, Numerical Methods for Ocean Modeling, Geomathematics Contents, Bull Computational Applied Mathematics, 9, (1) 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: Karel Segeth [log in to unmask] Date: December 26, 2021 Subject: 2021 Babuska Prize Awarded In December 2021, the Czech Society for Mechanics and the Union of Czech Mathematicians and Physicists again awarded the I. Babuska Prize for the best work in computational mechanics and computational mathematics submitted by students and young scientists. The Prize winner for 2021 is Dr Monika Balazsova from the Faculty of Mathematics and Physics of Charles University in Prague. The work honored is her PhD thesis Numerical analysis of problems in time- dependent domains. The second position was awarded to Dr Jan Valasek who was delivered a diploma of honor for his PhD thesis Numerical simulation of fluid- structure-acoustic interaction in human phonation defended at the Faculty of Mechanical Engineering of the Czech Technical University in Prague. The third position belongs to Dr Karel Mikes from the Faculty of Civil Engineering of the Czech Technical University in Prague who presented his PhD thesis Quasicontinuum-inspired modeling of inelastic materials. Further diplomas of honor were delivered to MS theses. The first position in this category was taken by Radim Dvorak from the Faculty of Mechanical Engineering of the Czech Technical University in Prague. The second was Jakub Homola from the Faculty of Mathematics and Physics of Charles University in Prague and the third position belongs to Jana Trdlicova from the Faculty of Electrical Engineering and Computer Science of the VSB--Technical University of Ostrava. The Prize was established in 1994 by an outstanding Czech mathematician Ivo Babuska (University of Texas at Austin, TX) who celebrated his 95th birthday this year. ------------------------------------------------------- From: René Fritze [log in to unmask] Date: December 22, 2021 Subject: Software Release, pyMOR 2021.2 pyMOR 2021.2 (December 22, 2021) We are proud to announce the release of pyMOR 2021.2! New features in this release are the addition of Dynamic Mode Decomposition for data- driven model order reduction and the formalization of model inputs. Further, general output error bounds for Reduced Basis reductors and experimental scikit-fem support as an alternative to the builtin discretizers were added. Wachspress' shifts accelerate the solution of Lyapunov equations for symmetric system matrices. Over 300 single commits have entered this release. pyMOR 2021.2 contains contributions by Tim Keil, Jonas Nicodemus and Henrike von Hulsen. The detailed release notes can be found at https://docs.pymor.org/2021-2-0/release_notes/all.html#pymor-2021-2-december-22-2021 ------------------------------------------------------- From: Kris ONeill [log in to unmask] Date: December 23, 2021 Subject: New Book, Applied Numerical Linear Algebra Applied Numerical Linear Algebra by William W. Hager Applied Numerical Linear Algebra introduces students to numerical issues that arise in linear algebra and its applications. A wide range of techniques are touched on, including direct to iterative methods, orthogonal factorizations, least squares, eigenproblems, and nonlinear equations. Inside Applied Numerical Linear Algebra, readers will find clear and detailed explanations on a wide range of topics from condition numbers to the singular value decomposition, material on nonlinear systems as well as linear systems, frequent illustrations using discretizations of boundary- value problems or demonstrating other concepts, exercises with detailed solutions at the end of the book, and supplemental material available at https://bookstore.siam.org/cl87/bonus. This textbook is appropriate for junior and senior undergraduate students and beginning graduate students in the following courses: Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory. 2021 / xiv + 424 pages / Softcover / ISBN: 978-1-611976-85-4 / List Price $89.00 / SIAM Member Price $62.30 / CL87 SIAM Bookstore: https://my.siam.org/Store/Product/viewproduct/?ProductId=40273155 ------------------------------------------------------- From: Daniel Robinson [log in to unmask] Date: December 19, 2021 Subject: ICCOPT/MOPTA, USA, Jul 2022 The Industrial and Systems Engineering (ISE) department at Lehigh University is excited to host the jointly held International Conference on Continuous Optimization (ICCOPT) and Modeling and Optimization: Theory and Applications (MOPTA) conference at Lehigh University in Bethlehem, Pennsylvania, USA on July 23-28, 2022. A summer school will take place on July 23-24, with the main conference on July 25-28. Please save the dates and visit our conference website (https://iccopt2022.lehigh.edu), where you will find preliminary information about the plenary and semi-plenary speakers, conference clusters/themes, important deadlines, travel, and local accommodations. Cluster chairs have already started to invite session organizers to submit invited sessions, and contributed talk submissions will be accepted starting in a few weeks. The local organizing committee is excited to host and organize ICCOPT/MOPTA 2022. This will give us an opportunity to share our beautiful campus and vibrant city of Bethlehem with everyone. Please note that the organizing committee is fully committed to hosting ICCOPT/MOPTA 2022 as an in-person conference. We ask all potential participants to respond optimistically to invitations from session organizers, even though individual plans may change at a later date. Further information about registration, including cancellation policies, is expected to be made available in January 2022. ------------------------------------------------------- From: Department of Computer Science, Hong Kong Baptist University [log in to unmask] Date: December 20, 2021 Subject: Multiple Professor Positions, CS, Hong Kong Baptist Univ The Department of Computer Science at Hong Kong Baptist University offers BSc, MSc, MPhil, and PhD programmes, and is now seeking outstanding applicants for the following faculty positions on tenure-track: Professor / Associate Professor / Assistant Professor (Computer Science) (3 vacancies) (PR0395/21-22). The appointees will perform high-impact research, teach and supervise students at undergraduate and postgraduate levels, and contribute to professional and institutional services. Collaboration with other faculty members in research and teaching is also expected. They will be encouraged to collaborate with colleagues within the Department to contribute to two special thematic applications including (a) health informatics and (b) security and privacy-aware computing, and to pursue new strategic research initiatives under the Department/Faculty/University. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high quality research in areas including but not limited to: Internet of things, Cyber-security, High- performance computing, Big data analytics, Art technologies and Financial technologies. Applicants should also show strong commitment to undergraduate and postgraduate teaching in computer science and/or information systems, possess track record of innovative research and high-impact publications, and be able to bid for and pursue externally-funded research programmes. Initial appointment will be offered on a fixed-term contract of three years. Re-appointment thereafter will be subject to mutual agreement. For enquiries, please contact Professor Jianliang Xu, Head of Department ( email: [log in to unmask] ). More information about the Department can be found at https://www.comp.hkbu.edu.hk . Closing date: Shortlisting will start immediately until the position is filled. URL: https://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=743 ------------------------------------------------------- From: Bojana Rosic [log in to unmask] Date: December 20, 2021 Subject: Assistant Professorship Position, UTwente In the group Applied Mechanics and Data Analysis, Faculty of Engineering Technology we have two open assistant positions in particular Assistant professorship in data analytics for robotic control described on https://www.utwente.nl/en/organisation/careers/!/229/assistant-professor-data-analytics-for-robotic-control as well as Assistant professorship in nonlinear model reduction for dynamics models (the second position described on) https://www.utwente.nl/en/organisation/careers/!/329/ Both positions are permanent after one year of trial phase. ------------------------------------------------------- From: Idoia Hernandez [log in to unmask] Date: December 24, 2021 Subject: Postdoc Position, Climate Change Data Science, BCAM In the framework of the IKUR Strategy. The 'Applied Statistics' research line at the BCAM looks for candidates to work on Climate Change Data Science related projects including spatial downscaling, uncertainty quantification in climate data, climate projections and ensembles. The research will be carried out in collaboration with BC3 (Basque Center for Climate Change) and other institutions in the Basque Country. Deadline: January 21st, 2022 Application: www.bcamath.org/en/research/job/ic2021-12-postdoctoral-fellowship-in-climate-change-data-science-ikur Requirements: Applicants must have their PhD completed before the contract starts. PhD degree preferable in Mathematics, Statistics, Physics, Computer Science, Environmental Sciences or related fields Skills: Good interpersonal skills. A proven track record in quality research, as evidenced by research publications in top scientific journals and conferences. 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: Strong background in mathematics/ probability/statistics and physics. Background in spatial modelling, spatio-temporal data modelling, spatial downscaling, environmental and climate data modelling, Uncertainty Quantification, Machine Learning (including Gaussian Processes, Neural Networks), Deep Learning architectures, Bayesian computing. Good programming skills in R, Python, Spark, and/or C/C++. Knowledge in High Performance Computing (HPC) systems, GIS tools. Interest and disposition to work in interdisciplinary groups. ------------------------------------------------------- From: Frank E. Curtis [log in to unmask] Date: December 21, 2021 Subject: Postdoc Position, Math Optimization and Data Science, Lehigh Univ We invite applications for a postdoctoral fellowship position with Lehigh University's new Program in the Foundations and Applications of Mathematical Optimization and Data Science (Lehigh MODS). Applications are welcome immediately. Review of applications will begin on February 1, 2022, and will continue until the position is filled. The Lehigh MODS program has been established with the perspective that mathematical optimization is an essential tool throughout the revolutionary field of data science. The aim of the program is to capitalize on Lehigh's world-class reputation in mathematical optimization research toward advances in these and related fields. The incoming postdoctoral fellow will be joining an interdisciplinary team of researchers working on a range of topics from optimization theory and algorithms to the application of modern data science and machine learning tools in areas from energy and healthcare systems to quantum chemistry. The Lehigh MODS team is composed of faculty members in Lehigh's departments of Industrial and Systems Engineering (ISE), Chemical and Biomolecular Engineering (ChBE), Computer Science and Engineering (CSE), Economics (Econ), and Electrical and Computer Engineering (ECE): Frank E. Curtis (ISE), Aida Khajavirad (ISE), Alberto J. Lamadrid (Econ), Theodore K. Ralphs (ISE), Srinivas Rangarajan (ChBE), Daniel P. Robinson (ISE), Karmel S. Shehadeh (ISE), Lawrence V. Snyder (ISE), Parv Venkitasubramaniam (ECE), Luis Nunes Vicente (ISE), and Sihong Xie (CSE). All Lehigh MODS team members are also members of Lehigh's Institute for Data, Intelligent Systems, and Computation (I-DISC), which provides administrative support for the program. A successful candidate will have a Ph.D. or equivalent degree by Summer 2022. In addition to joining collaborative interdisciplinary projects, the incoming postdoctoral fellow will be expected to contribute modestly to the program, such as aiding in the organization of seminars and workshops. The fellowship position would start at a mutually agreed-upon date. The term of the position is negotiable and could be 1 or 2 years. A formal application includes a cover letter, curriculum vitae, research statement (at most 4 pages), and list of at least 3 references. Applications should be sent by email to [log in to unmask] Informal inquiries in advance of a formal application are welcome. ------------------------------------------------------- From: Armin Eftekhari [log in to unmask] Date: December 26, 2021 Subject: Postdoc Position, Optimization, Umea Univ The Department of Mathematics and Mathematical Statistics at Umea University is seeking a postdoctoral fellow in high-dimensional stochastic optimization with application to prehospital care. The fellowship is for two years with a starting date of February 21, 2022, or by agreement. Optimization plays a key role in data-driven decision-making, where problems are often high-dimensional and of black-box nature. The focus of this project is to develop new theory and algorithms for the area, with a suggested emphasis on a new family of stochastic derivative-free algorithms that search for low-dimensional structure in a black-box problem. As an application of this theory, the appointed candidate will have the opportunity to interact with a multidisciplinary research team focused on optimizing prehospital care in Sweden. A digital twin of the problem has already been developed which, through large-scale simulations, allows us to numerically assess various resource allocations (location and scheduling of ambulances). The objective is to find the optimal resource allocation, subject to economical and practical constraints. This postdoctoral fellowship is financed by The Kempe Foundations and amounts to 312 000 SEK per year. Umea offers excellent working and living conditions. The city is young and located right next to a large river. It is surrounded by forests and lakes and lies close to the sea. In the vicinity, there are plenty of opportunities for both indoor and outdoor activities. For more information and instructions on how to apply, please see: https://www.umu.se/en/work-with-us/postdoctoral-scholarships/6-2685-21/ ------------------------------------------------------- From: Buyang Li [log in to unmask] Date: December 24, 2021 Subject: Postdoc Position, Scientific Machine Learning New funding is available for a postdoctoral position in Scientific Machine Learning for PDE-related problems arising from physical and engineering applications, at Department of Applied Mathematics, The Hong Kong Polytechnic University. Candidates with research experience in machine learning, numerical analysis, PDEs and harmonic analysis are welcome to apply. Application procedure: Send your CV (with a list of publication) to Dr. Buyang Li via E-mail address: [log in to unmask] ------------------------------------------------------- From: Fehmi Cirak [log in to unmask] Date: December 19, 2021 Subject: Postdoc Position, Statistical Finite Elements, Univ of Cambridge We are looking for a postdoc for research on statistical finite elements and Bayesian inference in computational mechanics with applications to digital twins. Candidates should have a strong background in at least two of the following: - Finite Element Analysis - Bayesian Inference and Probabilistic Machine Learning - Applied Numerical Analysis - Uncertainty Quantification Additional experience and skills required include: - Experience in implementing finite element or statistical research software, ideally using C/C++, Python and their associated frameworks. - A developing track record in producing high-quality publications. - Ability to work in a team and interact professionally within a team of researchers and PhD students. - Highly effective communication, presentation and training skills. The ideal starting date for the position is early 2022. Interested candidates should send their CV and representative publications to [log in to unmask] (Prof. Fehmi Cirak). ------------------------------------------------------- From: Bernie J. Daigle, Jr. [log in to unmask] Date: December 21, 2021 Subject: PhD Position, Bioinformatics/Comp Biology, Univ of Memphis Experimental biologists are generating data at an unprecedented rate. Unfortunately, biological insight has not kept pace with this deluge of data. The goal of my lab is to improve the inference of biological meaning from the wealth of experimental data collected from single cells to whole organisms. To do so, we develop sophisticated statistical and computational tools that enable integrated analyses of noisy, heterogeneous datasets. More information on the lab can be found at http://daiglelab.org. Assistantships are available for students interested in pursuing Ph.D. research in bioinformatics and/or computational systems biology. Active research areas in the lab include computational identification of disease biomarkers from high-throughput omics data and machine learning- based inference of gene regulatory networks (GRNs) from single-cell data. We currently have openings in two projects from these areas: (1) biomarker discovery for post-traumatic stress disorder (PTSD) from clinical and molecular data collected from military populations, and (2) application of deep learning techniques to rapidly and accurately infer GRNs from single- cell RNA-sequencing data. The successful candidate should be highly motivated and have some R and/or Python programming experience. Prior research experience in bioinformatics and/or computational biology is desirable. Details about admission and degree requirements can be found at http://www.memphis.edu/biology/graduate (Ph.D., Biological Sciences). To ensure full consideration, applications should be completed by February 1. Accepted students will be supported through a graduate assistantship. If interested, please first email Dr. Daigle ([log in to unmask]) your CV and a concise statement describing your interest in the position, previous research experience, and relevant coursework. ------------------------------------------------------- From: On behalf of Ali Pourmousavi Kani [log in to unmask] Date: December 21, 2021 Subject: PhD Positions, Mine Electrification, Univ of Adelaide, Australia We are hiring two PhD students to work with us at The University of Adelaide in Australia on the mining mobile fleet electrification. The project is funded by Future Battery Industries Cooperative Research Centre collaborating with several companies and state governments agencies. It is an intellectually challenging and extremely important project for the resource sector in Australia. We want to provide the Australian mining industry with a suite of decision-making tools and information that will aid their transition towards the use of battery-supported electric vehicles (BEVs) and associated stationary machinery in their mining operations. Your contributions to this work would help a critical industry achieve its net-zero emission goal and cost reduction with a tangible impact on the climate and the health of mining workers. Candidates with an Australian equivalent first-class honours degree (or a master's degree) in *electrical engineering*, *operations research*, *applied mathematics*, or *computer science* with experience in power systems and e-transportation are encouraged to apply. The opportunities are valued at A$35K pa stipend + A$5K pa research allowance. Please see more details at: https://scholarships.adelaide.edu.au/Scholarships/postgraduate-research/faculty-of-engineering-computer-and-mathematical-sciences/phd-3 https://scholarships.adelaide.edu.au/Scholarships/postgraduate-research/faculty-of-engineering-computer-and-mathematical-sciences/phd-2 International students are eligible to apply. The application deadline is until positions are filled. On behalf of Ali Pourmousavi Kani T: +61 8 8313-8311 E: [log in to unmask] W: https://researchers.adelaide.edu.au/profile/a.pourm ------------------------------------------------------- From: Vadym Aizinger [log in to unmask] Date: December 25, 2021 Subject: CFP, Numerical Methods for Ocean Modeling, Geomathematics GEM - International Journal on Geomathematics invites you to submit to the Topical Collection "Numerical Methods for Global and Regional Ocean Modeling" edited by Vadym Aizinger, Tuomas Karna, Daniel Le Roux and Y. Joseph Zhang, which provides an overview of the progress in this rapidly developing area, to identify current challenges, and to present and discuss promising approaches. The topics covered include but are not limited to the design and analysis of novel discretization schemes for the hydrodynamics and other relevant physical processes, development of inverse and reduced order models, application of stochastic techniques, adaptivity, model coupling, and other mathematical and numerical methodologies relevant to the area of ocean modeling. In addition, submissions of overview papers reporting on significant conferences in the field are highly encouraged. The submission Deadline has been extended until March 31st, 2021; please feel free to forward this "Call for Papers" to other colleagues active in this area. ------------------------------------------------------- From: Saul Buitrago Boret [log in to unmask] Date: December 19, 2021 Subject: Contents, Bull Computational Applied Mathematics, 9, (1) Table of Contents Bulletin of Computational Applied Mathematics, Vol.9, N1, 2021 http://www.compama.co.usb.ve/table-of-contents https://sites.google.com/usb.ve/bullcompama/table-of-contents The mathematical physical meaning of the Rarita Schwinger equation factored by a weighted Dirac operator, Part I, Benjamin de Zayas, Carmen Judith Vanegas A student's academic index using multivariate techniques, Maria Elena Lopez Zamora, Lelly Useche, Carlos Montes Rodriguez Statistical analysis of the impact of COVID-19: a study case on several countries, Maria Cristina Sabando-Alvarez, Darwin X. Tallana-Chimarro, Isidro R. Amaro, Franklin Camacho A fundamental solution for the Laplace operator in a doubly connected domain, Jose Luis Vergara Ibarra, Carmen Judith Vanegas Citizen insecurity in Ecuadorian provinces during the COVID-19 pandemic: multivariate statistical exploratory analysis using GGEBiplotGUI, Juan Burbano-Gallegos, Katherine Garcia-Pinargote, Isidro R. Amaro ------------------------------------------------------- End of Digest **************************