Subject: NA Digest, V. 22, # 17 NA Digest Monday, May 23, 2022 Volume 22 : Issue 17 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: 75th Anniversary of Math & Stats at NIST, ONLINE, Jun 2022 CEA–EDF–Inria Certification of Errors, France, Jun 2022 MSO for Energy Networks, ONLINE, Jun 2022 Springer Webinar Series/Optimal Transport, ONLINE, Jun 2022 Uncertainty, Adaptivity and Machine Learning, Germany, Sep 2022 SIAM Central States Meeting, USA, Oct 2022 Professorship Position, High Performance Computing, Germany Lectureship Positions, Mathematics for Healthcare, Univ of Liverpool Research Assistant Position, Numerical Methods, WIAS, Germany Postdoc Position, Clemson Univ Postdoc Position, Modelling Offshore Wind Energy Technologies, BCAM Postdoc Positions, Univ of Texas at Austin PhD and Postdoc Position, NA, Univ of Zurich PhD Position, Optimization and ML, WIAS, Germany PhD Positions, Nonlinear PDEs, Univ of Regensburg/Univ of Erlangen Contents, Evolution Equations and Control Theory, 11 (3) 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: Ronald Boisvert [log in to unmask] Date: May 17, 2022 Subject: 75th Anniversary of Math & Stats at NIST, ONLINE, Jun 2022 This year marks the 75th anniversary of the establishment of the first mathematical and statistical organizations within the National Institute of Standards and Technology. To commemorate this, NIST has organized a three-day online symposium featuring historical reflections, assessments of the impact of NIST work, presentations of current work, and examples of areas of future growth. The event should be of interest to NIST alumni and stakeholders, those interested in the history of science, and colleagues at other institutions engaged in research in applied mathematics and statistics. Dates: June 28-30, 2022 Time: 11 am - 5:30 pm Eastern time each day Place: Online (connection information to be provided later) Registration: Free, but required For more information, see https://www.nist.gov/news-events/events/2022/06/75th-anniversary-mathematics-and-statistics-nist ------------------------------------------------------- From: Martin Vohralik [log in to unmask] Date: May 19, 2022 Subject: CEA–EDF–Inria Certification of Errors, France, Jun 2022 In a tradition since 1961, the CEA-EDF-Inria summer school on numerical analysis will be held June 27 - July 1, 2022, in Paris-Saclay, France. This year, the subject is "Certification of errors in numerical simulations". The summer school is intended for researchers, engineers, and Ph.D. students. It will review the state-of-the-art in a posteriori error estimation in lectures complemented by computer tutorials under supervision of assistants. Evening scientific seminars will introduce some recent developments, and the last day will be devoted to industrial employment. All the details can be found at https://ecoles-cea-edf-inria.fr/en/schools/ecole-analyse-numerique-2022/. ------------------------------------------------------- From: Falk Hante [log in to unmask] Date: May 20, 2022 Subject: MSO for Energy Networks, ONLINE, Jun 2022 We are pleased to announce the 2022 summer school organized by the Collaborative Research Center CRC 154 on "Modelling, Simulation and Optimization using the Example of Gas Networks". The school takes place as an online event on June 8th, 2022 and June 9th, 2022. It is intended to introduce master students and young researchers to this interesting research topic. Introductory talks for newcomers in the field will be given, together with discussions on potential research topics in modelling, simulation and optimization within the CRC 154. A focus will be on energy networks. The school also aims to offer a platform for discussions between the participants and the speakers. The school features - among other topics - introductory lectures to optimal control, optimization under uncertainty, Nash equilibria, and an industrial talk on current challenges in energy management. For further details see: https://www.trr154.fau.de/summer-school-2022/ If you want to participate, please register free of charge until June, 6th, 2022, using the link above. ------------------------------------------------------- From: Francesca Bonadei [log in to unmask] Date: May 17, 2022 Subject: Springer Webinar Series/Optimal Transport, ONLINE, Jun 2022 Springer is glad to announce a new series of free webinars and interviews handled by the UNITEXT Board members, who will rotate in order to interview top experts in their field. The starting point will be the topic faced in a textbook, and the discussion will then expand and cover more general topics related to the research and the personal history of the guest speaker. This approach will benefit book series readers and invited participants, who might use this environment as an opportunity to ask questions or make suggestions in a direct exchange with speakers. Conversely, viewers might appreciate having the published contents at hand to delve deeper into the topics discussed. In the first session, going live on June 9, Alfio Quarteroni will interview Luigi Ambrosio. The speakers will dive into the subject of Optimal Transport, and will discuss the most challenging open problems and the future developments in the field. Click here to subscribe to the event! https://cassyni.com/s/springer-unitext https://cassyni.com/events/TPQ2UgkCbJvvz5QbkcWXo3 ------------------------------------------------------- From: Roland Maier [log in to unmask] Date: May 20, 2022 Subject: Uncertainty, Adaptivity and Machine Learning, Germany, Sep 2022 We are pleased to announce the Summer School "Uncertainty, Adaptivity, and Machine learning" to be held at the Augsburg University, Germany, September 12-14, 2022. In this three-day event, Michael Feischl (TU Vienna), Elisabeth Ullmann (TU Munich), and Robert Scheichl (U Heidelberg) will present numerical methods for solving PDEs with a focus on optimal adaptive discretization using machine learning, numerical methods for PDEs with random inputs, and solving large-scale Bayesian inverse problems. In addition to the thematic lectures, participants will have the opportunity to (shortly) present their own research and to network at a social event. Registration is free. Note that travel reimbursement can be provided for some participants. For more details and information regarding registration, please visit: https://www.uni-augsburg.de/de/fakultaet/mntf/math/prof/numa/veranstaltungen/uam-school/ ------------------------------------------------------- From: Xu Zhang [log in to unmask] Date: May 23, 2022 Subject: SIAM Central States Meeting, USA, Oct 2022 Announcing the 2022 SIAM Central States Annual Meeting! Dates: October 1-2, 2022 Location: Oklahoma State University, Stillwater, Oklahoma Format: In-person meeting Website: https://siamcss2022.okstate.edu Important Dates: - July 15, 2022: Mini-symposium proposal deadline for organizers - July 31, 2022: Contributed talks and poster presentation deadline. - August 31, 2022: Financial support application deadline - August 31, 2022: Early bird conference registration deadline Plenary Speakers (confirmed) are: Daniela Calvetti (Case Western Reserve University); Long Chen (University of California, Irvine); Anna Mazzucato (Pennsylvania State University) We are currently soliciting submissions of Mini-symposium Proposals. Mini-symposium Proposals can be submitted at the following website: https://siamcss2022.okstate.edu/call-for-presentations NOTE: Each mini-symposium proposal should consist of 1 to 2 organizers and 4 to 8 speakers. Please make sure to obtain consent from your speakers before listing them. You will also need a tentative title for each speaker. We also soliciting Contributed talks and poster presentations. Please submit your presentations at the website: https://siamcss2022.okstate.edu/call-for-presentations Limited financial supports are available. We encourage graduate students, postdoc researchers, junior faculty and under-represented minority groups to apply by August 21, 2022. If you have questions, please send an email to [log in to unmask] ------------------------------------------------------- From: Ulf Leser [log in to unmask] Date: May 18, 2022 Subject: Professorship Position, High Performance Computing, Germany The Department of Computer Science at Humboldt-Universitat zu Berlin is seeking an outstanding researcher to be appointed as a full-time, tenured Full-Professor (W3) on "High Performance Computing". It is planned that the appointed professor also serves as vice-president at Zuse Institute Berlin (ZIB), heading the research unit "Parallel and Distributed Computing" and the National High Performance Computing Center at ZIB. We are looking for a researcher with an excellent track record in modern high performance computing (HPC). We are particularly interested in applicants with demonstrated experience and expertise in the development of innovative methods and algorithms on the software- and hardware-level, especially at the intersection of simulation, optimization, and machine learning. Preference will further be given to applicants with comprehensive contributions to support HPC applications, experience in the operation and evolution of an HPC center and large-scale research projects, as well as strong leadership skills. At the ZIB, the incumbent is expected to serve as vice-president. This includes the responsibility for the research unit on parallel and distributed computing and for the National High Performance Computing Center, comprising more than 50 staff members. Further information about the position can be found at https://hu.berlin/w3_hpc For inquires, please also reach out to Ulf Leser at [log in to unmask] Applications by female researchers are particularly welcome. ------------------------------------------------------- From: Ke Chen [log in to unmask] Date: May 17, 2022 Subject: Lectureship Positions, Mathematics for Healthcare, Univ of Liverpool We are seeking to further expand our strong team in the the area of Mathematics for Healthcare through the appointment of two Permanent Lecturers. The post is in the Department of Mathematical Sciences, which is part of the School of Physical Sciences at the University of Liverpool. You should have a PhD in Mathematics and have an excellent track record in the area of Mathematics applied to Healthcare, including publications in internationally recognised journals and the ability to attract external research funding. You should have an enthusiasm for teaching diverse cohorts, and be interested in developing a research-connected curriculum. You will play a part in the development of the department through extending existing research networks within the University, and building new networks nationally and internationally. The School of Physical Sciences is an Athena SWAN Silver Award holder and is committed to encouraging, developing and supporting women in their research and academic careers. We are working to create an inclusive environment which values a diverse workforce and we recognise that many individuals value flexibility in their work/life balance. Therefore, this post may be taken up on a Part-Time (a minimum of 0.5 FTE) or Full-Time basis (including a Job Share). We strongly encourage applications from groups underrepresented within our workforce, in particular women. Deadline: 23:30 on Tue 7 June The University reserves the right to close the vacancy early if it is deemed that there have been enough applications received Furher details from: http://tinyurl.com/4de4jxu2 ------------------------------------------------------- From: Heike Sill [log in to unmask] Date: May 20, 2022 Subject: Research Assistant Position, Numerical Methods, WIAS, Germany At WIAS the research group "Numerical Mathematics and Scientific Computing" (Head: Prof. Dr. V. John) for the next possible date a position as Research Assistant (m/f/d) (Reference number 22/22) to be filled. The applicant should perform active research on numerical methods with anisotropic components, like the generation of anisotropic grids, discretizations on anisotropic grids or solvers for the systems of equations resulting from these discretizations. Corresponding publications should be available. The goal consists in applying such methods for the numerical solution of partial differential equations from fluid dynamics, electro chemistry or semiconductor electronics. Expected are the participation in the software development of the group as well as the support of projects from applications in collaboration with Partners from WIAS or outside. A university diploma or master degree in mathematics or a closely related discipline as well as a PhD degree are required. Please direct your scientific queries to Prof. Dr. V. John ([log in to unmask]). The appointment is limited for three years. The work schedule is 39 hours per week, and the salary is according to the German TVoeD Bund 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. Please upload your complete application documents (motivation letter, detailed CV, certificates) via the applicant portal as soon as possible but not later than June 30th, 2022 using the button "Apply online". We are looking forward to your application! See here for more information: https://short.sg/j/18492668 ------------------------------------------------------- From: Timo Heister [log in to unmask] Date: May 23, 2022 Subject: Postdoc Position, Clemson Univ We are accepting applications for a Postdoctoral position in the School of Mathematical & Statistical Sciences at Clemson University. While this is open for all areas, we especially encourage candidates in computational mathematics. Completed applications received before May 31, 2022 will receive full consideration. Please see https://www.mathjobs.org/jobs/list/19686 for details. ------------------------------------------------------- From: Idoia Hernandez [log in to unmask] Date: May 20, 2022 Subject: Postdoc Position, Modelling Offshore Wind Energy Technologies, BCAM Basque Center for Applied Mathematics is offering a Postdoctoral position in Modelling the Remaining Useful Lifetime for Offshore Wind Energy Technologies. This work is framed in IA4TES - Inteligencia Artifical para la Transicion Energetica Sostenible project. This offer, in particular, is to work in Computational Mathematics area at Basque Center for Applied Mathematics - BCAM, where Machine Learning, Data-Driven Computing, Numerical Simulation, Degradation Models, Transfer Learning, Offshore Wind Energy topics will be worked. Deadline: 13 June 2022 Applications at: http://www.bcamath.org/en/research/job/ic2022-05-postdoctoral-fellow-on-modelling-the-remaining-useful-lifetime-for-offshore-wind-energy-technologies Requirements: Applicants must have their PhD completed before the contract starts. PhD in Mathematics and/or Civil, Mechanical, Industrial, Offshore Engineering or similar areas 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. The preferred candidate will have: Experience in reliability modelling of the remaining useful life for components/subsystems/systems using Bayesian approaches. Experience in degradation modelling. Experience in machine learning techniques and in particular in Transfer Learning problems. Experience in treatment of long time series. Experience in simulation of long time series. Good programming skills in Python and R. Interest and disposition to work in interdisciplinary groups. The candidate would preferably be in possess of: Experience in the sector of offshore wind energy, or offshore oil and gas, or structures in offshore environment. ------------------------------------------------------- From: George Biros [log in to unmask] Date: May 19, 2022 Subject: Postdoc Positions, Univ of Texas at Austin The Center for Predictive Engineering and Computational Sciences in the Oden Institute faor Computational Engineering and Sciences at the University of Texas at Austin is searching for Postdoctoral Scholars in several domains relevant to high fidelity simulation of inductively coupled plasma torches. This research effort is supported in part by funding from the Department of Energy's National Nuclear Security Administration's Office of Advanced Simulation and Computing under the Predictive Science Academic Alliance Program. It involves multi-scale, multi-physics models and requires the use of advanced numerical methods and supercomputing resources. Applicants with a strong background in any of the following areas are sought: compressible reacting flow, finite element and spectral methods, and HPC algorithms and technologies. Applicants must have a Doctorate in Science, Engineering, Computer Science, Computational Science, Applied Mathematics, or a related technical field. Candidates with prior software experience in large-scale parallel code development, MPI, C++, multi-threading, and GPU programming are preferred. For more information about the project and team, visit http://pecos.oden.utexas.edu. To apply, please send a cover letter describing your interests, a CV, and a list of three references to [log in to unmask] ------------------------------------------------------- From: Prof.Dr. Stefan Sauter [log in to unmask] Date: May 19, 2022 Subject: PhD and Postdoc Position, NA, Univ of Zurich The Computational Mathematics Group at the University of Zurich has openings for a PhD position (3+1 years) and a PostDoc position (2+1/2 years) in the field of numerical analysis of wave propagation problem and of non-conforming discretizations of flow problems. Prerequisites: Master/diploma in Mathematics, very good knowledge in numerical analysis and good knowledge in programming. Starting salary PhD: CHF 58'800. Starting salary Postdoc: CHF 72'638. Conditions/Applications: The I-Math at the University of Zurich provides an excellent environment and infrastructure for their PhD students and PostDocs. The PhD students are members of the Zurich Graduate School in Mathematics (ZGSM) which is jointly run with the D-Math at the ETH Zurich. The new positions are part of the Numerical Analysis/Computational Mathematics research group of Professor Stefan Sauter. The starting date of the position is August 1st, 2022 or later. Review of applications will begin immediately, and the position will remain open until filled. Applications should include electronic versions of your transcripts and, if available, a certificate of the master degree. In addition, 2 letters of recommendation are requested. The application should be send to the head of the Numerical Analysis Group, Professor Stefan Sauter (e-Mail: [log in to unmask]). ------------------------------------------------------- From: Heike Sill [log in to unmask] Date: May 20, 2022 Subject: PhD Position, Optimization and ML, WIAS, Germany WIAS invites applications for a PhD student position (f/m/d) in Optimization and Machine Learning (Ref. 22/24) in Weierstrass Group "Data-driven Optimization and Control" (Head: Dr. Jia-Jie Zhu) starting as soon as possible. We are looking for candidates motivated in researching principled optimization and machine learning. The concrete methodological components of the Ph.D. project include - Continuous optimization for machine learning, deep learning, reinforcement learning; - Optimal transport and gradient flow for machine learning and optimization; - Robust optimization; - Robustness and generalization in learning with a focus on decision-making; - Dynamical systems modeling and optimization; - Interfacing learning theory and optimization. The Ph.D. student will closely work with Dr. Jia-Jie Zhu ( https://jj-zhu.github.io/). Qualification: We invite candidates with a master's degree in computer science, statistics, or applied mathematics, with a special focus on rigorous training in machine learning or optimization. Those qualifications are demonstrated by high-quality technical reports or publications in relevant venues such as (NeurIPS/ICLR/AISTATS/ICML/AAAI/CoLT/ALT/JMLR/STOC etc.). Candidates with strong applied or industrial experiences will also be considered. What we offer: Close mentorship: the Ph.D. candidate will receive responsible and careful mentorship. We emphasize fostering a healthy mentor-student relationship. WIAS Berlin is a premier research institution known for its strength in optimization, optimal control, dynamical systems, and applied mathematics in general. It has hosted the flagship conferences in mathematical optimization, such as ICCOPT 2019. A certified (Audit berufundfamilie) family-friendly work environment. Please direct queries to Dr. Jia-Jie Zhu ([log in to unmask]). To apply, please send the following: 1-2 page cover letter (including a very brief research statement); CV with links to your existing projects and works; Master's thesis (or draft if not yet completed); Transcripts for bachelor's and master's; contact information of 2-3 references from previous research projects who have agreed to be contacted; apply via our online job-application facility using the button "Apply online". The appointment is for 36 months. The reduced work schedule is 29,25 hours per week, and the salary is according to the German TVoeD scale. See here for more information: https://short.sg/j/18496523 ------------------------------------------------------- From: Balázs Kovács [log in to unmask] Date: May 20, 2022 Subject: PhD Positions, Nonlinear PDEs, Univ of Regensburg/Univ of Erlangen The Research Training Group "Interfaces, Complex Structures, and Singular Limits in Continuum Mechanics" (DFG-Graduiertenkolleg 2339) announces the opening of 7 Doctorate positions (for 3 years) at the Departments of Mathematics of Universitat Regensburg and of Friedrich-Alexander-Universitat Erlangen-Nurnberg. The positions are fully funded and are starting as soon as possible. The Research Training Group focuses on the development of new mathematical tools in modeling, analysis, and numerics with the perspective to understand complex phenomena observed in fluid mechanics, material sciences, biological systems, and other applied sciences. Typically, modelling approaches will involve nonlinear partial differential equations. The doctoral programme offers a structured course programme in partial differential equations, calculus of variations, numerical analysis, scientific computing, mathematical modeling, and professional skills. Doctoral researchers of the Research Training Group benefit from numerous possibilities of scientific exchange both on the national and on the international level. The prospective applicant for a doctorate position should hold a Diploma or Master degree in mathematics or in a closely related field. Applicants are asked to submit a CV, copies of certificates of academic qualifications held, a study track record, a copy of a degree thesis, and a statement of the scientific interests. Applications should be sent electronically to [log in to unmask] or [log in to unmask] Compatibility of family and work is promoted at both universities. Female candidates are particularly encouraged to apply. Equal opportunity is an essential element of our personnel policy. Applications from handicapped or equated applicants are welcome. For further information see: www.intcomsin.de and https://intcomsin.de/Opportunities.html. Applications are welcome at any time - preferable as soon as possible. ------------------------------------------------------- From: Irena Lasiecka [log in to unmask] Date: May 17, 2022 Subject: Contents, Evolution Equations and Control Theory, 11 (3) https://www.aimsciences.org//journal/A0000-0000 1. Pseudo S-asymptotically Bloch type periodic solutions to a damped evolution equation, Siqi Chen, Yong-Kui Chang and Yanyan Wei 2.Initial boundary value problem for a strongly damped wave equation with a general nonlinearity, Hui Yang and Yuzhu Han 3.Optimal control problems governed by two dimensional convective Brinkman-Forchheimer equations, Manil T. Mohan 4.Exact controllability and stabilization for a general internal wave system of Benjamin-Ono type, Jose R. Quintero and Alex M. Montes 5. On the stabilization for the high-order Kadomtsev-Petviashvili and the Zakharov-Kuznetsov equations with localized damping, Roger P. de Moura, Ailton C. Nascimento and Gleison N. Santos 6.Exponential stability for a multi-particle system with piecewise interaction function and stochastic disturbance, Yipeng Chen, Yicheng Liu and Xiao Wang 7. Local null controllability for a parabolic equation with local and nonlocal nonlinearities in moving domains, Andre da Rocha Lopes and Juan Limaco 8.The lifespan of solutions for a viscoelastic wave equation with a strong damping and logarithmic nonlinearity, Menglan Liao 9.Functional inequalities involving nonlocal operators on complete Riemannian manifolds and their applications to the fractional porous medium equation, Nikolaos Roidos and Yuanzhen Shao 10. On a class of differential quasi-variational-hemivariational inequalities in infinite-dimensional Banach spaces, Savin Treanca 11.On the Cauchy problem for a derivative nonlinear Schrodinger equation with nonvanishing boundary conditions, Phan Van Tin 12. Persistence of superoscillations under the Schrodinger equation, Elodie Pozzi and Brett D. Wick 13. Long-time behavior of a size-structured population model with diffusion and delayed birth process, Dongxue Yan and Xianlong Fu 14. Neutral delay Hilfer fractional integrodifferential equations with fractional brownian motion, Yousef Alnafisah and Hamdy M. Ahmed 15. Local stabilization of viscous Burgers equation with memory, Wasim Akram and Debanjana Mitra 16. Solvability of doubly nonlinear parabolic equation with p-laplacian, Shun Uchida 2020 Impact Factor: 1.081 5 Year Impact Factor: 1.269 ------------------------------------------------------- End of Digest **************************