Subject: NA Digest, V. 22, # 3 NA Digest Sunday, January 16, 2022 Volume 22 : Issue 3 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: New Book, Inverse Problems with Applications in Science and Engineering Mathematics of Deep Learning, UK/HYBRID, Feb-Mar 2022 Data Science and PDE Analysis; Foundational ML, Germany, Jun 2022 Random Matrix Theory and NLA, USA/HYBRID, Jun 2022 Department Chair and Professor Position, Idaho State Univ Tenure Track Position, Gran Sasso Science Institute - Italy Research Fellowship Position, AI for Imaging, UCL, UK Postdoc Position, Computational Maths, Imperial College London Postdoc Position, Numerical Analysis, Oregon State Univ Postdoc Position, Univ of Pau, France PhD Position, Mathematical Image and Data Processing, TU Berlin PhD Positions, Applied Mathematics and Statistics, Sweden PhD Positions, ML and Quantum Computing, TU Delft PhD Positions, Mathematical Biology, Kassel Univ CFP, Special Issue on Nonlocal Codes, JPER Contents, Computational Mathematics, 40 (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: Daniel Lesnic [log in to unmask] Date: January 11, 2022 Subject: New Book, Inverse Problems with Applications in Science and Engineering A new book in inverse problems has been published. Lesnic, D. (2021) Inverse Problems with Applications in Science and Engineering}, CRC Press, Taylor & Francis Group, Abingdon, UK. ISBN: 978-0-367-00198-8 (hardback), ISBN: 978-1-032-12538-1 (paper back), ISBN: 978-0-429-40062-9 (e-back). DOI: 10.201/9780429400629. The book examines thoroughly some representative classes of inverse and improperly-posed problems for partial differential equations governing a wide range of physical phenomena. The natural practical applications arise in heat transfer, electrostatics, porous media, fluids and acoustics. Intended readers of the book include postgraduate students and post- doctoral fellows from qualitatively-oriented fields of mathematical sciences and engineering, as well as scientists and researchers from either academic and industrial settings, where inverse problems naturally occur. ------------------------------------------------------- From: Marcello Carioni [log in to unmask] Date: January 14, 2022 Subject: Mathematics of Deep Learning, UK/HYBRID, Feb-Mar 2022 We are happy to announce the London Mathematical Society Invited Lecture Series on the Mathematics of Deep Learning. The event will take place from 28 February to 4 March 2022 at the Isaac Newton Institute in Cambridge, UK in a hybrid format. An introductory lecture series by Professor Gitta Kutyniok (LMU, Munich) on the Mathematics of Deep Learning is accompanied by a workshop on selected topics of deep learning with lectures given by Professors Peter Bartlett, Weinan E, Klaus Robert Muller and Rebecca Willet. There will be the opportunity for interactive sessions and the option to present a poster. For more information about the programme please visit https://sites.google.com/view/lmslecturesmaths4dl/home. To register please follow the link in the event webpage https://gateway.newton.ac.uk/event/tgm109 and please do so by 31st January 2022 to secure your place. We hope to be able to offer financial support for early-career researchers. ------------------------------------------------------- From: Leon Bungert [log in to unmask] Date: January 14, 2022 Subject: Data Science and PDE Analysis; Foundational ML, Germany, Jun 2022 We would like to draw your attention to the HCM Workshop Synergies between Data Science and PDE Analysis to be held at the University of Bonn in Germany on 13-17 June 2022. The current success story of data science calls for interpretable machine learning methods. For instance, in the context of sampling, graph-based learning or neural networks, PDE-based methods have proven to be both efficient and apt for mathematical analysis. This workshop brings together experts and young researchers in these two vibrant fields and aims to create a stimulating environment for exchanging scientific ideas and establishing new collaborations. An application is mandatory for participation. Deadline for applications is February 15th, 2022 (CET). We also offer some spots for contributed talks. A small number of additional fully funded places are available for researchers facing financial burdens, such as researchers from developing countries. Please find further information at the website: https://www.hcm.uni-bonn.de/de/veranstaltungen/eventpages/2022/syn-2022/ This workshop is organized in tandem with the Hausdorff School Foundational Methods in Machine Learning to be held at the University of Bonn in Germany on 6-10 June 2022. The school will consist of special topics courses from the following lecturers: Weinan E (Princeton University, USA); Carola Schoenlieb ( Jesus College Cambridge, UK); Dejan Slepcev (Carnegie Mellon University, USA); Rachel Ward (The University of Texas, USA). An application is mandatory for participation. Deadline for applications is February 6th, 2022 (CET). A small number of additional fully funded places are available for students and young researchers facing financial burdens, such as researchers from developing countries. Please find further information at the website: https://www.hcm.uni-bonn.de/events/eventpages/hausdorff-school/hausdorff-schools-2022/foundationalmethods2022/ ------------------------------------------------------- From: Tom Trogdon [log in to unmask] Date: January 13, 2022 Subject: Random Matrix Theory and NLA, USA/HYBRID, Jun 2022 I am pleased to announce the Conference on Random Matrix Theory and Numerical Linear Algebra (RMT + NLA) to be held at the University of Washington, Seattle, June 20-24, 2022. We will offer a hybrid format, so participants may connect remotely. The conference aims to bring together researchers from areas such as random matrix theory, numerical linear algebra, randomized algorithms, high-dimensional statistics, optimization and theoretical computer science to discuss recent developments and cutting-edge techniques. The conference will feature two tutorials/minicourses from Ioana Dumitriu (UCSD) and Sean O'Rourke (CU Boulder). The rest of the conference will consist of research talks and a poster session. More information, including registration details, can be found at the conference website: http://faculty.washington.edu/trogdon/RMT+NLA/index.html We do have limited travel funding available that will be used primarily to support junior researchers and an application for funding can be submitted through the conference webpage with a deadline of February 4, 2022. We are also seeking applications to present a poster at the poster session. ------------------------------------------------------- From: Yunrong Zhu [log in to unmask] Date: January 14, 2022 Subject: Department Chair and Professor Position, Idaho State Univ The Department of Mathematics and Statistics at Idaho State University (ISU) is pleased to announce a search for a tenured associate or full professor to serve as Department Chair. Competitive applicants will hold a doctorate in mathematics, statistics, or a related field, and will possess an outstanding and productive record of scholarly research, teaching, and service. Reporting to the Dean of the College of Science and Engineering (CoSE), the chair is expected to have leadership skills that can inspire and unite departmental faculty, staff, and students. These skills include strategic plan formulation and implementation, effective interpersonal communication, thoughtful leadership of personnel, oversight of the department's curriculum, and responsible management of departmental budgets. The new department chair will work within a culture of mutual trust, respect, accountability and collegiality, and will embrace ISU's commitment to diversity, equity and inclusion. The Department is on the threshold of significant change. The new department chair will have the opportunity to work with department faculty and the Dean to hire a number of new faculty members, and to chart the future of the department. The Dean envisions a modernized, student- centered department that works closely with other departments in CoSE and throughout ISU to educate students, collaborate on scholarly research projects, and seek extramural funding that supports innovative pedagogy. In addition to departmental degree programs, the department provides critical instruction for service courses in support of science and engineering programs and general education courses serving students from the broader university community. You must submit the following through https://isu.csod.com/ux/ats/careersite/5/home/requisition/1430?c=isu to be fully considered: 1. Curriculum vitae; 2. A statement describing interest and qualifications for the position (no more than 3 pages); 3. A brief statement describing educational philosophy; 4. A brief description (2-3 pages) of research accomplishments or activities in support of research initiatives; 5. Names and current contact information of four (4) professional references able to comment on the candidate's leadership experience (references will not be contacted without notification of the candidate). This position will remain open until it is filled, however, priority will be given to applications received by January 31, 2022. Salary will be commensurate with education and experience. Benefits include comprehensive health, dental, and vision; life insurance; disability plan; employee assistance program (EAP); excellent retirement options and company contribution; and generous paid time off/sick leave accrual. All offers of employment are conditional pending the successful completion of a background investigation, provided by HireRight. ------------------------------------------------------- From: Nicola Guglielmi [log in to unmask] Date: January 12, 2022 Subject: Tenure Track Position, Gran Sasso Science Institute - Italy The Numerical Analysis group of the Gran Sasso Science Institute (GSSI) invites expressions of interest for a faculty position at the Assistant Professor level (Tenure Track - RTDB) from highly qualified scholars worldwide. The GSSI Numerical Analysis group hosts scientists carrying out interdisciplinary research on a variety of subjects, ranging from Matrix Analysis, Numerical ODEs, Numerical PDEs, Dynamical systems, Graph Theory, Numerical Linear Algebra, Computational Network Science and Mathematics of Machine Learning. The GSSI is an International School of Advanced Doctoral Studies, with a prominent program of graduate courses. Located in the city of L'Aquila, in the heart of the Apennine Mountains east of Rome, the institute offers a stimulating environment with numerous PhD students and postdoctoral researchers selected internationally every year. English is the official language for all the activities at the institute (teaching, seminars, tutoring, etc.). About 40 PhD Students in Applied Mathematics from all over the world are at GSSI at any given time, and part of the duties of the Faculty is to provide teaching and supervision of their research activity. Interdisciplinary projects aimed at increasing the connections with other PhD courses at GSSI within the Math Division as well as the other areas (physics, computer science and regional economics) are encouraged. The GSSI plans to announce one tenure-track position in early 2022. For detailed informations on the position please visit the webpage https://www.gssi.it/communication/announcements/item/16186-expression-of-interest-tenure-track-assistant-professor-in-numerical-analysis-rtdb-in-the-mathematics-area-at-gssi ------------------------------------------------------- From: Marta Betcke [log in to unmask] Date: January 12, 2022 Subject: Research Fellowship Position, AI for Imaging, UCL, UK We would like to bring to your attention Research Fellowship in Artificial Intelligence for Imaging at the Department of Computer Science at UCL. The position is funded by Learned Exascale Computational Imaging (LEXCI) programme for the first two years with an option of subsequent employment as a staff scientist at UCL Advanced Research Computing (ARC) Centre. The goal of LEXCI is to develop a new paradigm of exascale computational imaging, integrating hybrid model and data based approaches with uncertainty quantification at large scale and in distributed environments. During the project lifetime the team will focus on applications to imaging from observations of the next-generation of radio interferometric telescopes and imaging of neuronal pathways in the human brain through diffusion MRI. The successful candidate will be working with Dr Marta Betcke and focus in particular on numerical methods development and algorithmic challenges in the context of big data and large scale, distributed hybrid architectures. They will also collaborate with Research Software Engineers in LEXCI team on deployment on modern and future high-performance computing infrastructure and with application domain specialists on knowledge transfer (astronomy, medical imaging and beyond). This post is available to start as soon as possible but not later than September 2022 and is funded for 24 months in the first instance with the option of transitioning to an open-ended appointment as a staff scientist within UCL Advanced Research Computing (ARC) Centre at the end of this period, subject to satisfactory performance evaluation. Please direct informal enquiries at Marta Betcke ([log in to unmask]). Further information and the application link (submission deadline 21 February 2022) are available at https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTg4MTE3MCZ2dF90ZW1wbGF0ZT05NjUmb3duZXI9NTA0MTE3OCZvd25lcnR5cGU9ZmFpciZicmFuZF9pZD0wJmpvYl9yZWZfY29kZT0xODgxMTcwJnBvc3RpbmdfY29kZT0yMjQ= ------------------------------------------------------- From: Prof Colin Cotter [log in to unmask] Date: January 13, 2022 Subject: Postdoc Position, Computational Maths, Imperial College London Within the APinTA-PDEs part of the ExCALIBUR programme in the UK, I am looking to recruit a postdoctoral research associate on a 26 month contract starting 1st April 2021. The successful candidate will design, implement and benchmark time-parallel algorithms for geophysical fluid dynamics, based around the "Paradiag" diagonalisation technique. This development will be centred around the Firedrake finite element code generation system. Designing robust preconditioners for the block systems that arise in this framework will be an important part of the work. The application deadline is 26th January, and the application page is here: https://www.imperial.ac.uk/jobs/description/NAT01069/research-associate-computational-mathematics Please email [log in to unmask] for further information. ------------------------------------------------------- From: Malgorzata Peszynska, Oregon State University [log in to unmask] Date: January 14, 2022 Subject: Postdoc Position, Numerical Analysis, Oregon State Univ Oregon State University invites applications for two full-time 12-month Postdoctoral Scholar positions in Mathematics beginning September 16, 2022. The area of research for one position is Numerical Analysis and the other is for Algebra/Number Theory. Applicants should have a PhD in Mathematics or a related field by the anticipated starting date and received no earlier than September 2017. Priority will be given to candidates that complete their application by February 4, 2022. For details about the position, and how to apply, please see https://www.mathjobs.org/jobs?joblist-449-19387 ------------------------------------------------------- From: Amaziane [log in to unmask] Date: January 11, 2022 Subject: Postdoc Position, Univ of Pau, France We are looking for a computational scientist, with an applied mathematics, Fluid Physics/Mechanics or computational engineering background, for the development of a code in C++ targeted for HPC platforms. Subject: Development of a code for numerical simulation of THMC Thermal-Hydrologic-Mechanical-Chemical processes in porous media. Further details of the position and the application procedure can be found at the following link: https://lma-umr5142.univ-pau.fr/fr/vie-du-laboratoire/recrutement/post-doctorat.html ------------------------------------------------------- From: Robert Beinert [log in to unmask] Date: January 13, 2022 Subject: PhD Position, Mathematical Image and Data Processing, TU Berlin The Institute of Mathematics at the Technische Universitat Berlin is looking for a PhD candidate (full-time for a period of 5 years, salary grade E13 TV-L Berliner Hochschulen, part-time employment may be possible). Working field: Research in the field of applied analysis with focus on mathematical image and data processing, in particular large-scale in imaging, invertible neural networks, stochastic methods in nonconvex, nonsmooth optimization. Teaching duties 4 SWS in case of full-time employment. Requirements: Successfully completed university degree (Master, Diplom or equivalent) in mathematics. Excellent knowledge in functional analysis, nonlinear optimization, stochastics and machine learning. Practical experience in software development in Python and deep learning. Very good command of German and English. For further information and application please visit the official job-webpage of the TU Berlin: https://stellenticket.de/117100/TUB/?lang=en ------------------------------------------------------- From: Annika Lang [log in to unmask] Date: January 13, 2022 Subject: PhD Positions, Applied Mathematics and Statistics, Sweden At the Division for Applied Mathematics and Statistics we are currently recruiting three new PhD students to start in August 2022: 1) PhD position in Applied Mathematics and Statistics Application deadline: February 25 Starting date: August 15 More information and link to the application system: https://www.chalmers.se/en/about-chalmers/Working-at-Chalmers/Vacancies/Pages/default.aspx?rmpage=job&rmjob=10102 2) PhD position in mathematical optimization and artificial intelligence Application deadline: February 25 Starting date: August 15 More information and link to the application system: https://www.chalmers.se/en/about-chalmers/Working-at-Chalmers/Vacancies/Pages/default.aspx?rmpage=job&rmjob=10140 3) PhD position in Applied Mathematics Application deadline: February 26 Starting date: August 15 More information and link to the application system: https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89bead79bb7258ad55c8d75228e5b7&job_id=23545 ------------------------------------------------------- From: Matthias Moller [log in to unmask] Date: January 14, 2022 Subject: PhD Positions, ML and Quantum Computing, TU Delft 4 fully-funded PhD positions are available at Delft University of Technology, The Netherlands, under the joint supervision of researchers from the Faculty of Aerospace Engineering and the Faculty of Electrical Engineering, Mathematics and Computer Science. We will explore the exciting interdisciplinary areas of Quantum Computing and Machine Learning with aerospace applications on composites optimization and materials radiation modelling. 2 PhDs will be focusing on aerospace applications with ML and QC: - Optimization of Composite Laminates (https://lnkd.in/dEbxDK5S). - Modelling of the Interaction of High-Energy Radiation and Space Materials (https://lnkd.in/dunJwR3R). 2 PhDs will be focusing on algorithms development on ML and QC: - Iterative Hybrid Optimization Algorithm (https://lnkd.in/dJaWaJmc). - Learning Surrogate Modelling (https://lnkd.in/dwXNpuHu). Deadline for application is 1 Feb 2022. Please apply online through the TU Delft portal. ------------------------------------------------------- From: Werner Seiler [log in to unmask] Date: January 11, 2022 Subject: PhD Positions, Mathematical Biology, Kassel Univ The University of Kassel establishes the interdisciplinary Research Training Group (RTG) "Biological Clocks on Multiple Time Scales" (http://www.uni-kassel.de/go/multiscale_clocks), which is funded by the German Research Foundation from 1. April 2022 on. The RTG aims at investigating the principles of timekeeping in living organisms, enabling to orchestrate periodic processes with very different frequencies ranging from infradian over circadian to ultradian rhythms. The unique approach is to combine the expertise of biologists, physicists, chemists, mathematicians, and engineers to advance the understanding of biological clocks. The RTG comprises 13 projects, two of which are of a more mathematical nature: P9: Models & simulations for new insights into physiology of clocks and ways of adapting it (PI: Prof. Elfriede Friedmann) and P11: Model reduction via symmetries and conservation laws for systems on multiple time scales (PI: Prof. Werner M. Seiler). For these projects, we seek outstanding research assistants with a master degree in mathematics or in a closely related field. Advantageous are experiences in dynamical systems, partial differential equations, finite element methods, Lie symmetries, singular perturbation theory or programming. More details can be found at https://www.uni-kassel.de/forschung/multiscale-clocks/open-positions-apply-now. ------------------------------------------------------- From: Marta D'Elia [log in to unmask] Date: January 14, 2022 Subject: CFP, Special Issue on Nonlocal Codes, JPER It is our pleasure to announce that the submission to the special issue on the Journal of Peridynamics and Nonlocal Modeling titled "Nonlocal Codes" is now open! The special issue will provide a permanent record of nonlocal codes that are being made available to the community, including (but not limited to) those discussed at the recent One Nonlocal World workshop on nonlocal software. The special issue will give users of the codes a peer-reviewed reference to cite in their own future papers. The articles for the special issue should contain basic information about the codes and an example problem but are not required to provide an in-depth treatment of the method. All types of discretizations and methods are acceptable for submission (if you're in doubt, please, reach out by replying to this email). To submit a manuscript, go to the JPER website https://www.springer.com/journal/42102 and select "Submit manuscript" on the right. It is important to indicate that you are planning to contribute to this specific special issue. To do so, during the submission process, once you reach the tab "additional information", reply "yes" to the question "Are you submitting to a special issue?" and then select "Nonlocal Codes" among the options. The submission deadline is May 31st 2022. Marta D'Elia and Stewart Silling, Sandia National Labs. ------------------------------------------------------- From: Yonghui Yu [log in to unmask] Date: January 14, 2022 Subject: Contents, Computational Mathematics, 40 (1) Journal of Computational Mathematics, Volume 40 (2022), issue 1 CONTENTS Theoretical Analyses on Discrete Formulae of Directional Differentials in the Finite Point Method, Guixia Lv and Longjun Shen A Finite Element Algorithm For Nematic Liquid Crystal Flow Based On The Gauge-Uzawa Method, Pengzhan Huang, Yinnian He and Ting Li Metrically Regular Mapping and Its Utilization to Convergence Analysis of a Restricted Inexact Newton-type Method, Mohammed Harunor Rashid Long-time Oscillatory Energy Conservation of Total Energy-preserving Methods for Highly Oscillatory Hamiltonian Systems, Bin Wang and Xinyuan Wu Data-driven Tight Frame Construction for Impulsive Noise Removal, Yang Chen and Chunlin Wu Adaptive and Optimal Point-wise Estimations for Densities in GARCH- type Model by Wavelets, Cong Wu, Jinru Wang and Xiaochen Zeng Unconditionally Optimal Error Estimates of the Bilinear-constant Scheme for Time-dependent Navier-Stokes Equations, Huaijun Yang and Dongyang Shi ------------------------------------------------------- End of Digest **************************