[External Email] Subject: NA Digest, V. 20, # 48 NA Digest Sunday, December 20, 2020 Volume 20 : Issue 48 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: Foundations of Computational Mathematics, Online, 2021 Hyperbolic equations, Structure preserving methods, ONLINE, Jan-Mar 2021 One Nonlocal World, Opening Event, ONLINE, Jan 2021 Copper Mountain Multigrid Methods, ONLINE, Mar-Apr 2021 AMiTANS'21, Bulgaria, Jun 2021 Advances in Continuous Optimization, France, Jul 2021 Applied Machine Learning Summer School, USA, Summer 2021 Continuous Optimization, USA, Jul 2022 Project Assistant Position, Univ of Graz Faculty Positions, Data Science, Purdue Univ Postdoc Fellowship Position, Applied Math/Scientific Computing, BNL Postdoc Position, Computational Biology, Ryerson Univ, Toronto Postdoc Position, Numerical Analysis and Simulation, HKU PhD/Postdoc Positions, High Performance Computing, Germany PhD/Postdoc Positions, Simulation Technology, UniBw Munich PhD Position, Machine Learning for Renewable Energies MSc/PhD Position, Applied Mathematics Special Issue, Machine Learning and Mathematical Modeling Contents, Evolution Equations and Control Theory, 10 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: Ben Adcock [log in to unmask] Date: December 17, 2020 Subject: Foundations of Computational Mathematics, Online, 2021 The Foundations of Computational Mathematics (FoCM) society is happy to announce its 2021 online seminar. The seminar will consist each month of two lectures given by plenary speakers of the FoCM 2020 conference, originally planned in Vancouver, Canada for June 2020 and cancelled due to the covid crisis. http://focm-society.org/2020/ Each of the seven sessions will take place on the last Friday of the month at 11am- 1pm Eastern Standard Time, that is, 8am-10am Pacific Standard Time, 5pm-7pm Central European Time. It will be held on Zoom, broadcasted, and the videos of the lectures will be available online afterwards. The detailed program with titles and abstracts will be available on the FoCM society website http://focm-society.org. Registration: the zoom link will be sent to the members of the FoCM mailing list, one day before each session. If you want to register for this mailing list, send an empty email to the address [log in to unmask] with the subject line "registration". Confirmed program : January 29: Afonso Bandeira (Smale prize lecture), Caroline Uhler February 26 : Dan Spielman, Kristin Lauter March 26 : Alice Guionnet, Ed Saff April 30 : Carola Bibiane-Schoenlieb, Bojan Mohar May 28 : Phillipp Grohs, Sara van de Geer June 25 : Rebecca Willet, Sebastian Reich July 30 : Rekha Thomas, Danylo Radchenko (Popov prize lecture) ------------------------------------------------------- From: Christian Klingenberg [log in to unmask] Date: December 20, 2020 Subject: Hyperbolic equations, Structure preserving methods, ONLINE, Jan-Mar 2021 Our online series of seminar lectures on structure preserving methods for hyperbolic equations will continue im 2021. We have slightly broadened the topic, see here https://ifm.mathematik.uni-wuerzburg.de/~klingen/struct-pres-seminar.html The speakers are: Bruno Despres (Paris, France) on Jan. 8, Shi Jin (Shanghai, China) on Jan. 15, Sergey Gavrilyuk (Marseille, France) on Jan. 22, Yulong Xing (Ohio State, USA) on Jan. 29. Cory Hauck (ORNL, USA) on Feb. 5, Praveen Chandrashekar (Bangalore, India) on Feb. 12, Francois Bouchut (France) on Feb. 19, Jean-Luc Guermond (Texas A&M, USA) on Feb. 26, Jeff Haack (LANL, USA) on Mar. 12, Saray Busto (Trento, Italy) on Mar. 19, Dinshaw Balsara (Notre Dame, USA) on Mar. 29. All are welcome to join us via Zoom, please email Christian Klingenberg at Wuerzburg University (Germany) at [log in to unmask] to obtain the Zoom address. ------------------------------------------------------- From: Marta D'Elia [log in to unmask] Date: December 15, 2020 Subject: One Nonlocal World, Opening Event, ONLINE, Jan 2021 With the purpose of staying "nonlocally" connected during these unusual times, we have decided to create "One Nonlocal World" (https://sites.google.com/view/onenonlocalworld/), an on-line platform with updates on new nonlocal trends and events. The One Nonlocal World project is an on-line platform where people working on nonlocal problems or interested in learning more about this topic can regularly check for updates on nonlocal modeling, analysis and computation. The short-term goal is to keep researchers connected virtually by workshops and schools during these unconventional COVID times. The long-term goal is to build up new communication channels for a more connected and inclusive research community on nonlocal models. We are planning to have an Opening Event on Fri Jan 22nd and Sat Jan 23rd, 2021. (https://sites.google.com/view/onenonlocalworld/events) The topics will range from fractional calculus to nonlocal calculus and include the mathematical and numerical aspects of nonlocal modeling and simulation. Confirmed plenary speakers are - Max Gunzburger, Florida State University (Jan 22nd) - George Karniadakis, Brown University (Jan 22nd) - Robert Lipton, Louisiana State University (Jan 23rd) - Erdogan Madenci, University of Arizona (Jan 23rd) - Stewart Silling, Sandia National Laboratories, NM (Jan 22nd) Registration is free, but mandatory. You can fill in the form by January 1st 2021 in the event page above. We are also planning to have a poster session and we encourage young researchers (students, postdocs and young faculty members) to submit their titles through the registration form. In case of acceptance, a confirmation email together with instructions will be sent by January 5th. ------------------------------------------------------- From: Robert Falgout [log in to unmask] Date: December 16, 2020 Subject: Copper Mountain Multigrid Methods, ONLINE, Mar-Apr 2021 20th Copper Mountain Conference on Multigrid Methods Monday March 29 - Friday April 2, 2021 Daily schedule: 15:00 - 19:00 UTC (8am - 12pm PDT, 11am - 3pm EDT, 17:00 - 21:00 CEST) The Copper Mountain Conference on Multigrid Methods was founded in 1983 and is held every two years (odd years). It is widely regarded as one of the premier international conferences on multigrid methods. The 2021 meeting will be a virtual one with details to follow soon. The main purpose of this initial announcement is to bring attention to the student paper competition (a tradition at the meeting with a cash award) and some important deadlines. For more information, see our website at https://grandmaster.colorado.edu/copper/2021/ Updates will be provided on the web site and in follow-up announcements in the coming weeks. Don't forget to mark your calendars! Important Deadlines: - Student Paper Competition (no extensions): - Abstract: Friday, January 15, 2021 - Paper (reserved for students who submit an abstract): Friday, January 22, 2021 - Presentation Abstracts: Monday, February 22, 2021 - Registration fees and deadline: TBD - Journal Special Issue: tentatively June 15, 2021 ------------------------------------------------------- From: Michail Todorov [log in to unmask] Date: December 12, 2020 Subject: AMiTANS'21, Bulgaria, Jun 2021 The Euro-American Consortium for Promotion of the Application of Mathematics in Technical and Natural Sciences is pleased to announce its Thirteenth Conference AMiTaNS'21 to be held in the 5-star Flamingo Grand hotel in Albena, which is one of the top level vacation resorts in the Northern Bulgarian Black Sea coast. The conference will be scheduled in plenary and keynote lectures followed by special and contributed sessions. The accents of the conference will be on Mathematical Physics, Solitons and Transport Processes, Numerical Methods, Scientific Computing, Continuum Mechanics, Applied Analysis, Applied Physics, Biomathematics, which can be complemented by some specific topics in contributed special sessions. You are welcomed to announce and organize special sessions that should be within the general topic of the conference. URL: http://2021.eac4amitans.eu/ email: [log in to unmask] Contact person: Dr Michail Todorov ------------------------------------------------------- From: Sonia Cafieri [log in to unmask] Date: December 19, 2020 Subject: Advances in Continuous Optimization, France, Jul 2021 We are pleased to announce the 18th EUROPT Workshop on Advances in Continuous Optimization (EUROPT 2021), to be held in Toulouse, France, on July 7-9, 2021: https://europt2021.recherche.enac.fr/ The EUROPT Workshop on Advances in Continuous Optimization is the annual event of the EUROPT continuous optimization working group of EURO (The Association of European Operational Research Societies). This 18th edition will take place a few days before the EURO 2021 conference in Athens. Authors are invited to submit contributions on all aspects of continuous optimization. The scope of the workshop includes (but may not be restricted to) the topics mentioned at https://europt2021.recherche.enac.fr/ The online abstract submission system is already open: http://www.euro-online.org/conf/europt2021/ Accepted abstracts for the 2020 workshop that could not take place are still considered accepted for the 2021 workshop. The authors will be shortly contacted by the organizers. We are pleased to announce a Special Issue of Optimization Methods and Software following EUROPT 2021. We are looking forward to welcoming you in Toulouse, and hope to welcome you in person. Nonetheless, we are monitoring closely the situation related to the COVID19 and we consider the possibility of hybrid in-person/remote formats as well. The workshop is expected to take place in any case. Important Dates - Abstract Submission: March 1st, 2021 - Abstract Acceptance: March 15, 2021 - Registration deadline: April 15, 2021 ------------------------------------------------------- From: Youzuo Lin [log in to unmask] Date: December 14, 2020 Subject: Applied Machine Learning Summer School, USA, Summer 2021 We are excited to announce the 2021 Los Alamos National Laboratory Applied Machine Learning Summer School. The theme topics for this year include Focus 1: Interpretability and Explainability in Machine Learning Focus 2: Physics-informed Machine Learning Focus 3: Uncertainty Quantification in Machine Learning Focus 4: Machine Learning for Earth Sciences We are currently accepting applications. Successful applicants will receive a prestigious research fellowship, hands-on technical training experiences, and professional development from internationally reputable scientists. For more information about our summer school, project, and mentor information, please visit our summer school website at http://aml.lanl.gov. Applications must be submitted by January 15th, 2021, for the first round of consideration. Late applications may also be considered. ------------------------------------------------------- From: Daniel P. Robinson [log in to unmask] Date: December 16, 2020 Subject: Continuous Optimization, USA, Jul 2022 The Industrial and Systems Engineering (ISE) department at Lehigh University would like to announce that the International Conference on Continuous Optimization 2022 (ICCOPT 2022) will be hosted by Lehigh University in Bethlehem, Pennsylvania in the USA on July 23-28, 2022. A summer school will take place on July 23-24, with the main conference taking place on July 25-28. Please save the dates and expect additional details to follow in the early months of next year. The local organizing committee is excited to host and organize ICCOPT 2022, which is a flagship conference of the Mathematical Optimization Society (MOS). This will give us an opportunity to share our beautiful campus and vibrant city of Bethlehem with everyone. ------------------------------------------------------- From: Vanessa Peinhart [log in to unmask] Date: December 17, 2020 Subject: Project Assistant Position, Univ of Graz The Institute of Mathematics and Scientific Computing / University of Graz, Austria is looking for a Project Assistant without doctorate (30 hours a week; fixed-term employment for the period of 3 years; position to be filled as of now) The University of Graz will carry out a research project on machine learning approaches for data-driven cardiopulmonary resuscitation. The project will be realized in close collaboration with the University Hospital Graz. Its goal is to develop mathematical models and machine learning strategies that allow for a better understanding of the physiological conditions of patients during cardiopulmonary resuscitation. This will be achieved using both, parameter identification techniques for differential-equation-based physiological models and machine learning approaches. Interested? For further information please use this link: https://jobs.uni-graz.at/en/MB/203-1/99/6536 ------------------------------------------------------- From: David Gleich [log in to unmask] Date: December 18, 2020 Subject: Faculty Positions, Data Science, Purdue Univ Purdue University has multiple faculty position openings for the broad area of data science within the computer science, statistics, and mathematics departments. To learn more about these opportunities and apply: - https://www.cs.purdue.edu/hiring/faculty2020-datascience.html - https://careers.purdue.edu/job/Data-Science/698638500/ - https://www.mathjobs.org/jobs/list/16902 This broad view of data science includes many topics relevant to NA- digest readers: Scientific machine learning, data-driven modeling, topological data analysis, functional data analysis, applied probability, approximation theory for the foundation of data science, machine learning, simulation, inverse problems, computational methods for big data, optimization, high performance computing for data science, topological and geometric aspects of data analysis, software engineering for data science We suggest candidates apply to all of these positions that may be relevant. ------------------------------------------------------- From: Vanessa Lopez-Marrero [log in to unmask] Date: December 18, 2020 Subject: Postdoc Fellowship Position, Applied Math/Scientific Computing, BNL The Applied Mathematics Group of the Computational Science Initiative (CSI) at Brookhaven National Laboratory (BNL) invites exceptional candidates to apply for the Amalie Emmy Noether Fellowship in applied mathematics and scientific computing. This fellowship offers a unique opportunity to conduct research in a broad set of fields, including reduced order modeling, uncertainty quantification and scalable computational statistics for Bayesian inference, optimization and control for decision making under uncertainty, scientific machine learning, high-dimensional inverse problems, multiscale modeling, integrated computational modeling frameworks, data science for streaming or "in-situ" (within simulation) analytics in high performance computing (HPC), and numerical methods. The methods and fundamental advances made in the course of this research will further the progress of applications of interest to BNL and the Department of Energy (DOE). This program provides full support for a period of two years at CSI. Candidates must have received a doctorate (Ph.D.) in applied mathematics or a related field (e.g., mathematics, physics, engineering, statistics, operations research, or computer science) within the past five years. This fellowship presents a unique chance to conduct interdisciplinary collaborative research in BNL programs with a strongly competitive salary. Recipients will be allowed to select a direct mentor from a list of CSI staff scientists. This mentor will help the recipient define and pursue their own research agenda during their appointment. For a full description of the position and to apply, please visit https://jobs.bnl.gov/job/upton/post-doc-applied-math-scientific- computing/3437/3147419072 ------------------------------------------------------- From: Silvana Ilie [log in to unmask] Date: December 15, 2020 Subject: Postdoc Position, Computational Biology, Ryerson Univ, Toronto A postdoctoral position is available in Computational Biology in the Department of Mathematics, Ryerson University (http://www.math.ryerson.ca). The research will be led jointly by Dr. Silvana Ilie and Dr. Katrin Rohlf. This position provides an opportunity to engage in research in Applied Mathematics, with a limited amount of teaching. The salary is competitive, with funding provided for one year. We are seeking qualified and motivated applicants in Applied Mathematics, to work on interdisciplinary projects aimed at developing stochastic modelling and simulation tools for studying biological systems. The ideal candidate would have a strong background in Applied Mathematics (Numerical Analysis and Probability) and/or Computer Science. Strong programming skills in Matlab are mandatory. In addition, experience with dynamical systems (ODEs and PDEs) is expected. Knowledge of biological/chemical reaction modelling, stochastic simulation (temporal and spatio-temporal) and machine learning would be considered an asset. The fellowship is open to candidates of any nationality and selection will be based upon the candidate's research potential and teaching ability. Ideally the job will begin on July 1, 2021, however there is some flexibility in the starting date. The screening process will start on February 10, 2021, and continue until the position is filled. Please note the position is advertised pending budgetary approval. Applicants should submit a curriculum vitae and three letters of recommendation. At least one of these letters should report on the candidate's teaching abilities. Application material and reference letters should be sent directly by e-mail to [log in to unmask] ------------------------------------------------------- From: guanglian li [log in to unmask] Date: December 12, 2020 Subject: Postdoc Position, Numerical Analysis and Simulation, HKU We are seeking one postdoc researcher in the field of numerical analysis and simulation, especially multiscale analysis and simulation, and high- dimensional approximation. For more information, please follow the link: https://sites.google.com/site/lotusli0707/open-positions-new?authuser=0 Feel free to contract Dr. Li ([log in to unmask]) if you have any questions. ------------------------------------------------------- From: Philipp Neumann [log in to unmask] Date: December 17, 2020 Subject: PhD/Postdoc Positions, High Performance Computing, Germany Several positions at salary grade TVoD E13 (PhD/Postdoc) will be available from 01.01.2021 for a maximum of four years at the chair for high performance computing, Helmut-Schmidt-Universitat Hamburg. Research directions are given across the wide range covered by HPC for applications (multiscale flow simulations; machine learning; exploration of novel/existing computational techniques for novel HPC hardware; etc.). The official announcements are available on the website of the Helmut-Schmidt-Universitat, reference numbers MB-4020, MB-4120. Please send your actual application with the usual documents to [log in to unmask], mentioning the corresponding reference number (MB-4020 or MB-4120). For inquiries on the positions, please contact Philipp Neumann: [log in to unmask] ------------------------------------------------------- From: Alexander Popp [log in to unmask] Date: December 18, 2020 Subject: PhD/Postdoc Positions, Simulation Technology, UniBw Munich To further strengthen our internationally oriented research team at the Institute for Mathematics and Computer-Based Simulation (Prof. Popp), we are looking for several research Assistants - PhD Students / Postdocs (fully-funded positions according to German public sector pay scale E 13/14) in the following research areas Machine Learning / Data-Driven Modeling / UQ; Hybrid Digital Twin / Reduced-Order Modeling; Solvers for Multiphysics Problems / HPC. Within the scope of his or her work, each employee is expected to work independently on future-oriented research topics, especially a project funded by the newly founded Center for Digitization and Technology Research (DTEC.Bw) in collaboration with the established university research center RISK: Risk, Infrastructure, Security, Conflict. Funding of the positions is secured until December 2024 (four years). Your tasks: carrying out innovative research projects including their presentation and documentation; scientific publishing, contributions to new research funding proposals / grants; support of academic teaching in German language (exercises, internships, teaching materials); research-related administrative tasks, e.g. with regard to HPC software development. Your qualification: excellent degree in a university engineering program or in applied mathematics, physics or computer science; very good theoretical skills in the fundamentals (mechanics, mathematics), in computational mechanics (FEM) and in programming (C++). Incoming applications will be screened immediately until the position is filled. Therefore, please send your complete application documents (one PDF file including letter of motivation, curriculum vitae, copies of certificates) as soon as possible, but no later than January 15th, 2021, by e-mail to Prof. Dr.-Ing. Alexander Popp ([log in to unmask]). ------------------------------------------------------- From: Denys Dutykh [log in to unmask] Date: December 17, 2020 Subject: PhD Position, Machine Learning for Renewable Energies A PhD position is open at the National Institute of Solar Energy (INES/CEA/LITEN/LSPV) and the Laboratory of Mathematics (LAMA UMR 5127) University Savoie Mont Blanc. The position will be based at Savoie Technolac campus near the picturesque lake Le Bourget, France. The research will consist of developing and applying state-of-the-art Dimension Reduction/Machine Learning methods for the early diagnostic of photovoltaic panels of solar powerplants. The research results will be published in scientific journals and presented at conferences (NIPS, EuroVis and others). The applicant must at a minimum hold a Master degree in Applied Mathematics or related quantitative or engineering fields with a high emphasis on computing, design and implementation of numerical algorithms. The programming skills in Matlab or Python are required, along with some inclination towards visually appealing data visualization. Some prior knowledge of Machine Learning will be welcome, but not strictly necessary. The appointment will be made for three years (the standard duration of a PhD thesis in France). The salary, working hours and holidays are according to the CEA scale, including full social benefits. For full consideration, please apply by March 31st, 2021. The starting date will be in Fall 2021 or sooner. Please, send your applications (CV, cover letter and a list of references) to Dr Sylvain Lespinats ([log in to unmask]) and Dr Denys Dutykh ([log in to unmask]). ------------------------------------------------------- From: Jerome MONNIER [log in to unmask] Date: December 18, 2020 Subject: MSc/PhD Position, Applied Mathematics MSc internship in Applied Mathematics - Hybrid A.I. @ Maths Institute of Toulouse in spring-summer 2021 A MSc internship entitled "Physically-informed machine learning for reduced order PDE models. Application to geophysical fluid flows" is available. Duration: 6 months. A PhD fund to continue this work at the interface with geophysists may be available. Supervisor: Prof. J. Monnier. Internship funding: 600 Euro net/month. Transportation to Toulouse may be funded. Keywords. Non-intrusive reduced order modeling, POD, SVD, Artificial Neural Networks, PDE models, geophysical fluid mechanics. Required skills. Numerical analysis - computational methods, PDE models, Finite Element methods, Machine Learning (Artificial Neural Networks), programming (Python). Details available at the URL: https://www.math.univ-toulouse.fr/~jmonnie Interested in the internship ? Send CV+ motivation letter + transcripts to [log in to unmask] The call is opened until an applicant is hired. ------------------------------------------------------- From: Ali Ahmadian [log in to unmask] Date: December 11, 2020 Subject: Special Issue, Machine Learning and Mathematical Modeling We are pleased to inform you that the following special issue is now open to receive submission for possible publications. The paper will be published in Mathematical Methods in Applied Sciences, Wiley ( https://onlinelibrary.wiley.com/journal/10991476 I.F. 1.626). Below you can find further information. Special Issue: Machine Learning and Mathematical Modeling: New Perspectives. Website: https://onlinelibrary.wiley.com/pb-assets/assets/10991476/0Special%20Issues0/Model- based%20Machine%20Learning%20and%20Mathematical%20Modeling_-1598004025040. pdf Deadline for manuscript submissions: 28 February 2021 Specific topics of interest include (but are not limited to): Machine learning hybrid approach for accurate mathematical modeling; Artificial Neural Networks for Probabilistic models; Temporal models with recurrent neural networks; Fractional-order gradient descent approach to signal processing and machine learning; Deep neural networks for unstructured problems with massive data; Fractional-order steepest gradient descent; Evolutionary process of fractional back-propagation neural networks; Combining physically-based modeling and deep learning; Incorporating machine learning and multiscale physical modeling; Artificial life simulations; Integrating of economic models and ML algorithms to predict economic trends; Identifying system dynamics by machine learning; K-mean clustering in combination with epidemic diseases modeling to simulate the dynamical behaviours. ------------------------------------------------------- From: Irena Lasiecka [log in to unmask] Date: December 12, 2020 Subject: Contents, Evolution Equations and Control Theory, 10 Evolution Equations and Control Theory, March 2021, vol 10. https://www.aimsciences.org//journal/A0000-0000 1.Uniform attractors of 3D Navier-Stokes-Voigt equations with memory and singularly oscillating external forces, Cung The Anh, Dang Thi Phuong Thanh and Nguyen Duong Toan 2.Global existence for a class of Keller-Segel models with signal- dependent motility and general logistic term, Wenbin Lv and Qingyuan Wang 3.Infimal convolution and duality in convex optimal control problems with second order evolution differential inclusions, Elimhan N. Mahmudov 4.Boundary null-controllability of coupled parabolic systems with Robin conditions, Kuntal Bhandari and Franck Boyer 5.On a final value problem for a class of nonlinear hyperbolic equations with damping term, Nguyen Huu Can, Nguyen Huy Tuan, Donal O'Regan and Vo Van Au 6.Uniform boundary observability with Legendre-Galerkin formulations of the 1-D wave equation, Ludovick Gagnon and Jose M. Urquiza 7. Local wellposedness of quasilinear Maxwell equations with absorbing boundary conditions, Roland Schnaubelt and Martin Spitz 8.Approximate controllability for Navier-Stokes equations in 3D cylinders under Lions boundary conditions by an explicit saturating set, Duy Phan ------------------------------------------------------- End of Digest **************************