Subject: NA Digest, V. 22, # 7 NA Digest Monday, February 21, 2022 Volume 22 : Issue 7 Today's Editor: Daniel M. Dunlavy Sandia National Labs mailto:[log in to unmask] Today's Topics: New Book, Introduction to Numerical Linear Algebra New Book, Sparse Polynomial Approximation of High-Dimensional Functions Finite Element Rodeo, USA, Mar 2022 UPDATE: Conference Honoring Daniel Szyld, USA, Mar 2022 Finite Element Methods and Adaptivity, Austria, Mar-Apr 2022 European Finite Element Fair, Finland, Jun 2022 Householder Symposium XXI, Italy, Jun 2022 Postponed: Lattice Boltzmann Methods/OpenLB, Poland, Jun 2022 HUGO Global Optimization, Hungary/HYBRID, Sep 2022 Scientist/Software Engineering Positions, Data Assimilation Postdoc Position, Data Assimilation and ML, Colorado State Univ Postdoc Position, Inverse Methods, BCAM Postdoc Position, Modelling Offshore Wind Energy Technologies Postdoc Position, Research Software and Data, Univ of Goettingen Postdoc Position, Univ of Oslo Postdoc/PhD Position, Comp Mathematics and Optimization, Paderborn Univ PhD Position, Appl & Comp Mathematics, Univ of Bergen, Norway PhD Position, ML for Inverse Problems, WIAS, Germany PhD Position, Mathematics, Portugal PhD Position, Probability Theory/Stochastic Analysis, WIAS, Germany PhD Position, Univ of Oslo PhD Position, Univ of Strathclyde, UK Doctoral Positions, Wave Phoenomena, KIT New Journal, CMCMA Contents, Bulletin of Computational Applied Mathematics, 9 (2) 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: Kris ONeill mailto:[log in to unmask] Date: February 16, 2022 Subject: New Book, Introduction to Numerical Linear Algebra Introduction to Numerical Linear Algebra by Christoph Borgers This textbook on numerical methods for linear algebra problems presents detailed explanations that beginning students can read on their own, allowing instructors to go beyond lecturing and making it suitable for a 'flipped' classroom. The author covers several topics not commonly addressed in related introductory books, including diffusion, a toy model of computed tomography, global positioning systems, the use of eigenvalues in analyzing stability of equilibria, and multigrid methods. A detailed derivation and careful motivation of the QR method for eigenvalues starting from power iteration is also included, as is a discussion of the use of the SVD for grading. February 2022 / x + 348 pages / Softcover / 978-1-611976-91-5 / List $79.00 / SIAM Member $55.30 / OT178 SIAM Bookstore: https://my.siam.org/Store/Product/viewproduct/?ProductId=40807989 ------------------------------------------------------- From: Kris ONeill mailto:[log in to unmask] Date: February 16, 2022 Subject: New Book, Sparse Polynomial Approximation of High-Dimensional Functions Sparse Polynomial Approximation of High-Dimensional Functions by Ben Adcock, Simone Brugiapaglia, and Clayton G. Webster For over seven decades there has been a focused research effort on high- dimensional approximation -- that is, the development of methods for approximating functions of many variables accurately and efficiently from data. This book provides an in-depth treatment of sparse polynomial approximation methods, which have emerged as useful tools for various high-dimensional approximation tasks arising in a range of applications in computational science and engineering. It is the first comprehensive and unified treatment of polynomial approximation techniques that can mitigate the curse of dimensionality in high-dimensional approximation, including least squares and compressed sensing. It develops main concepts in a mathematically rigorous manner and contains many numerical examples, each accompanied by downloadable code. 2022 / xviii + 292 pages / Softcover / 978-1-611976-87-8 / List $84.00 / SIAM Member $58.80 / CS25 SIAM Bookstore: https://my.siam.org/Store/Product/viewproduct/?ProductId=40794500 ------------------------------------------------------- From: Thomas Hagstrom mailto:[log in to unmask] Date: February 17, 2022 Subject: Finite Element Rodeo, USA, Mar 2022 On March 4--5 the Department of Mathematics at SMU will host the Finite Element Rodeo. The Finite Element Rodeo is informal, regional (Texas, Louisiana, and surrounding states) conference devoted to the theory and practice of the finite element method, and related areas of numerical analysis and partial differential equations. It has been held annually since 1995. 10-15 minute talks are given in random order, and postdocs/graduate students are encouraged to present. To register see the link below. Email Tom Hagstrom, mailto:[log in to unmask], if you have any questions. https://people.smu.edu/sxu/2022-smu-fe-rodeo/ ------------------------------------------------------- From: Kirk M. Soodhalter mailto:[log in to unmask] Date: February 15, 2022 Subject: UPDATE: Conference Honoring Daniel Szyld, USA, Mar 2022 Barring unexpected complications, we confirm that indeed this conference will take place - fully live and in person. The venue, Temple University, requires that all participants be fully vaccinated. We ask that all participants (invited speakers and other contributors/attendees) please do register before the deadline of 24 February. Further details can be found at the conference website https://www.maths.tcd.ie/~ksoodha/szyld2022/. We will look forward to seeing you there, Kirk M. Soodhalter, Christopher Beattie, Howard Elman ------------------------------------------------------- From: Dirk Praetorius mailto:[log in to unmask] Date: February 18, 2022 Subject: Finite Element Methods and Adaptivity, Austria, Mar-Apr 2022 The workshop "CC2LX - Workshop on Finite Element Methods and Adaptivity" will be held on March 31 and April 01, 2022 at TU Wien on the occasion of the 60th birthday of Professor Carsten Carstensen (HU Berlin, Germany). We invite friends, academic family, and researchers working in the field to participate in the 2-day workshop and celebrate with him. The workshop will consist of invited and contributed talks, which are held in presence. Online participation (without a talk) will be possible via Zoom. Deadline for abstract submission: March 01, 2022 Further Information: https://www.asc.tuwien.ac.at/cc2lx/ ------------------------------------------------------- From: Rolf Stenberg mailto:[log in to unmask] Date: February 17, 2022 Subject: European Finite Element Fair, Finland, Jun 2022 The 19th European Finite Element Fair will take place on 3-4 June 2022 at Aalto University, Helsinki metropolitan area, Finland. The registration deadline is May 31, 2022. (There is no conference fee.) For further details, see http://math.aalto.fi/conferences/efef2022/ ------------------------------------------------------- From: Heike Fassbender mailto:[log in to unmask] Date: February 18, 2022 Subject: Householder Symposium XXI, Italy, Jun 2022 The Householder Symposium XXI on Numerical Linear Algebra has been rescheduled to be held at Hotel Sierra Silvana, Selva di Fasano (Br), Italy, 12-17 June 2022. The meeting will in person, no virtual participation will be offered. The Symposium is very informal, with the intermingling of young and established researchers a priority. Attendance is by invitation only. Each attendee will be given the opportunity to present a talk or a poster. Some talks will be plenary lectures, while others will be shorter presentations arranged in parallel sessions. Participants are expected to attend the entire meeting. Starting February 22, 2022 * all those invited to the 2020 Householder Symposium are asked to confirm their interest in attending the June 2022 meeting and to submit a new abstract if appropriate, * new applications may be submitted to fill vacancies that will occur as a result of possible cancellations due to the postponement and the current Covid 19 situation. Applications are welcome from researchers in numerical linear algebra, matrix theory, and related areas such as optimization, differential equations, signal processing, control, and data science. Web page: https://users.ba.cnr.it/iac/irmanm21/HHXXI/index.html Resubmission/Application deadline: March 15, 2022 Notification of acceptance for new applications: first week of April 2022 ------------------------------------------------------- From: Mathias J. Krause mailto:[log in to unmask] Date: February 21, 2022 Subject: Postponed: Lattice Boltzmann Methods/OpenLB, Poland, Jun 2022 The 5th Spring School on Lattice Boltzmann Methods (#LBM) with #OpenLB Software Lab has been postponed to take place from the 6th to the 10th of June 2022. We are optimistic and looking forward meet in person in Krakow, Poland. We have updated all webpages. Details regarding the payment of your attendance fee are now available. The registration is still open for anyone who is interested. See https://www.openlb.net/spring-school-2022/ for more information. ------------------------------------------------------- From: Tibor Csendes mailto:[log in to unmask] Date: February 21, 2022 Subject: HUGO Global Optimization, Hungary/HYBRID, Sep 2022 Call for Papers to HUGO 2020 - XV. Global Optimization Workshop University of Szeged, Szeged, Hungary, 5-8 September 2022, hybrid setting This workshop organized by the University of Szeged offers a traditional forum for researchers and practitioners to discuss new issues, challenging problems, advanced solutions and new trends in global optimization. Since 1985, a tradition of Global Optimization Workshops exists that senior researchers and PhD students meet in a single-stream session environment to discuss approaches, algorithms and challenging applications in the field of global optimization. Confirmed plenary speakers: Immanuel Bomze, Marco Locatelli, and Ruth Misener. All participants wishing to present a talk at HUGO 2022 should prepare an extended abstract of 4 pages in LaTeX style. Detailed instructions for preparing & submitting a manuscript will be made soon via the conference home page http://www.inf.u-szeged.hu/hugo. - Confirmation of participation: asap (just fill in our short form if you are thinking about to come) - Deadline for the submission of extended abstracts: April 30, 2022 - Notification of acceptance: May 31, 2022 Contact: mailto:[log in to unmask] or any of the organizers above ------------------------------------------------------- From: Chiara Piccolo mailto:[log in to unmask] Date: February 20, 2022 Subject: Scientist/Software Engineering Positions, Data Assimilation Data Assimilation (DA) is used to statistically blend observations and numerical models. It is an essential process in producing a skilful weather forecast. The Met Office is at the forefront of DA applications in operational Numerical Weather Prediction. Possibly the greatest challenge for modern DA is to consider how the complex DA algorithms could be run efficiently on future supercomputer architectures. Work in the DA team at the Met Office is highly collaborative and the team has links to scientists and software engineers in national and international organizations. We are hiring scientists and software engineers for our DA team! Find out more about our exciting job opportunities and apply before Sunday 27 February: https://bit.ly/3o07d5S ------------------------------------------------------- From: Steven Fletcher mailto:[log in to unmask] Date: February 18, 2022 Subject: Postdoc Position, Data Assimilation and ML, Colorado State Univ The Cooperative Institute for Research in the Atmosphere (CIRA) at Colorado State University (CSU), located on the CSU Foothills Campus, approximately 5 miles northwest of CSU main campus, seeks to fill a postdoctoral fellowship in April/May 2022 as part of a National Science Foundation (NSF) award to train a new scientist in data assimilation and machine learning techniques. This fellowship is intended for persons who have recently completed their Ph.D and may last up to 18 months contingent upon NSF funding availability. The individual in this position will serve as a member of the CIRA data assimilation group and will test the robustness of machine learning techniques to identify the links between non-Gaussian distributions and different atmospheric scale dynamics, convert the hybrid version of WRF-GSI(JEDI) to have a non-Gaussian component, and assess the robustness of new non-Gaussian based ensemble systems along with advancing the development of a new version of the Maximum Likelihood Ensemble Smoother. Applications will be accepted until the position is filled; however, to ensure full consideration applications should be submitted by 11:59 PM MT on Sunday, March 13, 2022. References will not be contacted without prior notification of candidates. Find more detail about this position and apply electronically by clicking "Apply to this Job" at the following website: https://jobs.colostate.edu/postings/99928. NOTE: In your cover letter, please specifically address the required and preferred qualifications of this position. A cover letter that fails to address the required and preferred qualifications of this position may not be further considered after review by the search committee. CSU is an EO/EA/AA employer and conducts background checks on all final candidates. ------------------------------------------------------- From: Idoia Hernandez mailto:[log in to unmask] Date: February 21, 2022 Subject: Postdoc Position, Inverse Methods, BCAM Basque Center for Applied Mathematics - BCAM is offering a Postdoctoral position in the framework of IA4TES - Inteligencia Artifical para la Transicion Energetica Sostenible (Artificial Intelligence for Sustainable Energy Transition) project. This job offer, in particular, is to work in Simulation of Wave Propagation group at BCAM with D. Pardo and V. Nava, where the researcher will work on Deep Learning, Data-Driven Computing, Partial Differential Equations, Inverse Problems and Offshore Wind Energy. Contract and offer: 2 years Deadline: 28 February 2022 More info and applications at: http://www.bcamath.org/en/research/job/ic2022-02-postdoctoral-fellow-on-inverse-methods-for-structural-health-monitoring-of-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: Strong background in the numerical solution of Partial Differential Equations and/or Deep Learning techniques. Background in Inverse Problems. Experience in treatment of long time series. Experience in simulation of long time series. Experience in modelling Failure Modes and Effects Analysis (FMEA) for components / subsystems / systems. Good programming skills in Python and preferably, also Tensorflow. 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: Idoia Hernandez mailto:[log in to unmask] Date: February 21, 2022 Subject: Postdoc Position, Modelling Offshore Wind Energy Technologies Basque Center for Applied Mathematics - BCAM is offering a Postdoctoral position in the framework of IA4TES - Inteligencia Artifical para la Transicion Energetica Sostenible (Artificial Intelligence for Sustainable Energy Transition) project. This job offer, in particular, is to work in Simulation of Wave Propagation group at BCAM with D. Pardo and V. Nava, where the researcher will work on Machine Learning, Data-Driven Computing, Numerical Simulation, Degradation Models, Transfer Learning, Offshore Wind Energy. Contract and offer: 2 years; Deadline: 28 February 2022, More info and applications at: http://www.bcamath.org/en/research/job/ic2022-02-postdoctoral-fellow-on-modelling-the-remaining-useful-lifetime-for-offshore-wind-energy-technologies Requirements: 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: Christoph Lehrenfeld mailto:[log in to unmask] Date: February 16, 2022 Subject: Postdoc Position, Research Software and Data, Univ of Goettingen Within the Collaborative Research Center (CRC) 1456 "Mathematics of Experiment: The challenge of indirect measurements in the natural sciences" at the Georg-August-University Gottingen we look for another PostDoc for the infrastructure project. The infrastructure project supports the constituent projects of the CRC to meet the highest standards in reproducible research and collaborate on software projects and data. More details on the CRC and the position can be found here: https://www.uni-goettingen.de/crc1456 and https://www.uni-goettingen.de /de/305402.html?cid=15981 . ------------------------------------------------------- From: Kent-Andre Mardal mailto:[log in to unmask] Date: February 15, 2022 Subject: Postdoc Position, Univ of Oslo We are searching for a highly motivated candidate with a strong background in scientific computing (mathematics/physics/machine learning) and a passion to work on the intersection of physics, numerics and machine learning with application to sustainability and hydro power. The Postdoctoral Fellow position is a part of the Computational Hydropower project (https://www.mn.uio.no/math/english/research/projects/comphydro/index.html) that aims to develop a new generation of modeling and learning tools for applications in sustainable energy applications - with particular focus on hydro power. The project is a collaboration between Expert Analytics, NTNU, Statkraft and UiO. For further information please contact: Professor Kent-Andre Mardal (mailto:[log in to unmask]) ------------------------------------------------------- From: Christian Offen mailto:[log in to unmask] Date: February 21, 2022 Subject: Postdoc/PhD Position, Comp Mathematics and Optimization, Paderborn Univ The Department of Mathematics at Paderborn University is looking for a Research Assistant (f/m/d) (pay scale E13 TV-L) with 100 % of the regular working time. Both doctoral candidates and postdocs are welcome. The position is to be filled as soon as possible. The employee will be part of the group "Applied Mathematics - Numerics and Control" of Prof. Sina Ober-Blobaum. The group's research topics are in the field of computational mathematics and optimization with a particular focus on structure-preserving simulation methods and modern engineering applications such as vehicle dynamics, space mission design or robotics. Current research projects include the areas of optimal control of differential equations, the development and analysis of numerical geometric integrators, the combination of mathematical methods with learning processes, and the use of symmetries in model predictive control. The groups homepage is available here: https://math.uni-paderborn.de/en/ag/research-group-applied-mathematics-numerical-mathematics-and-control The job posting with details on requirements, the area of responsibility, and the application process can be found here: https://math.uni-paderborn.de/fileadmin/mathematik/ag/angewandte-mathematik/Kennziffer5160_Englisch.pdf ------------------------------------------------------- From: Jakub Both mailto:[log in to unmask] Date: February 18, 2022 Subject: PhD Position, Appl & Comp Mathematics, Univ of Bergen, Norway The University of Bergen invites applications for a PhD research fellowship in Applied and Computational Mathematics, beginning between April 1 and June 1, 2022. The position is part of the Center of Sustainable Subsurface Resources (CSSR), a recent collaboration between NORCE (Bergen, Norway) and the University of Bergen, Norway. The focus of the PhD research project is the development of robust, modular coupling strategies for accurate, reliable multi-model simulations involving models with a potentially highly different degree of complexity and data-reliance. This involves developing an analytical framework for coupled problems which shall aid deriving practical guidelines for designing solvers involving operator splitting, multi-rate schemes, iterative coupling strategies, and preconditioning. Deadline for application is March 10, 2022. For details about the position and how to apply, please see https://www.jobbnorge.no/en/available-jobs/job/220954/phd-research-fellow-in-applied-and-computational-mathematics-nfr-centre-for-sustainable-subsurface-resources-cssr ------------------------------------------------------- From: Heike Sill mailto:[log in to unmask] Date: February 15, 2022 Subject: PhD Position, ML for Inverse Problems, WIAS, Germany WIAS invites applications for a PhD student position (f/m/d) (Ref. 22/03) in the Research Group "Nonlinear Optimization and Inverse Problems" (Head: Prof. Dr. D. Homberg) starting at April 1, 2022. The position is tied to the project "Machine Learning for Inverse Problems with continuous normalizing flows and mean field games" PI: PD Dr. Martin Eigel). The goal of the project is the development and analysis of Neural Networks for invertible measure transport such as normalizing flows. Connections to optimal transport, optimal control, mean field games and stochastic differential equations will be examined. Moreover, low-rank tensor formats will be used in a hybrid method. In collaboration with the PTB, the developed methods will be applied to inverse problems for geometry parameters the quality control of semiconductor manufacturing. We are looking for candidates with a solid background in applied mathematics, theoretical chemistry, theoretical physics, or electrical engineering. They are expected to be familiar with some of the topics numerical analysis (for differential equations), quantification of uncertainty, statistical learning theory, high-dimensional approximations, stochastic analysis. Applicants are also expected to have experience with at least one of the popular Python frameworks for machine learning. Previous experience in continuum mechanics, thermodynamics, homogenization theory, software engineering, or machine learning are beneficial. A completed scientific university degree (master's degree) in mathematics or a closely related field is required as well as demonstrable programming experience preferably in python and good communication skills in English. See here for more information: https://short.sg/j/15845948 ------------------------------------------------------- From: Ercilia Sousa mailto:[log in to unmask] Date: February 20, 2022 Subject: PhD Position, Mathematics, Portugal The UC|UP Joint PhD Program in Mathematics, run by the Universities of Coimbra and Porto, in Portugal, welcomes applications for the academic year of 2022/2023. All areas of Mathematics are covered in the Program, in particular: Algebra; Analysis/Differential Equations; Discrete Mathematics/Combinatorics; Dynamical Systems; Geometry/Topology; Numerical Analysis/Optimization; Probability/Statistics. The first call for applications is open from February 1 to March 10, 2022. To formalize the expression of interest, candidates must send the following documents to the email mailto:[log in to unmask] - elements of the Citizen Card/Identity Card/Passport - updated curriculum vitae - certificates of qualifications - school transcript, containing the classifications obtained in all undergraduate and master's subjects - motivation letter - name and email address of two professors who must write letters of recommendation Both letters of recommendation are mandatory. The letter writers must send them directly to mailto:[log in to unmask] . The research centers associated with the program, CMUC (https://www.mat.uc.pt/~cmuc) and CMUP (https://www.cmup.pt), will open calls for scholarships very soon. More information at: http://www.mat.uc.pt/phd_prog/requirements.php?edc ------------------------------------------------------- From: Heike Sill mailto:[log in to unmask] Date: February 21, 2022 Subject: PhD Position, Probability Theory/Stochastic Analysis, WIAS, Germany WIAS invites applications for a PhD student position (f/m/d) (Ref. 22/05) in the Research Group "Stochastic Algorithms and Nonparametric Statistics" (Head: Prof. Dr. Vladimir Spokoiny) starting at April 1, 2022. The position is tied to the MATH+ Cluster of excellence project AA4-2: "Optimal control in energy markets using rough analysis and deep networks". Motivated by the complex and pivotal role of energy markets in our economy, the project aims to develop and analyze efficient methods for modeling energy price processes and methods for solving stochastic control and decision problems based thereon. Some particular methods used in the project are signature based regression, dual methods for randomized stochastic optimal control, relevant for energy "swing" options, Bayesian reinforcement optimal control and last not least data driven dynamics and rough volatility. We are looking for candidates with a master's degree in mathematics and a strong background in probability theory and stochastic analysis. Prior knowledge is (stochastic) optimal control, rough analysis, statistics or machine learning is beneficial. Please direct scientific queries to PD Dr. J. Schoenmakers (mailto:[log in to unmask]) or Dr. Christian Bayer (mailto:[log in to unmask]). The appointment is limited until 31.03.2025. The reduced work schedule is 29,25 hours per week, and the salary is according to the German TVoeD Bund scale. See here for more information: https://short.sg/j/16108473 ------------------------------------------------------- From: Kent-Andre Mardal mailto:[log in to unmask] Date: February 15, 2022 Subject: PhD Position, Univ of Oslo Position as PhD Research Fellow in Applied Mathematics / Mechanics available at the Department of Mathematics. We are searching for a highly motivated candidate with a strong background in scientific computing (mathematics/physics/machine learning) and a passion to work on the intersection of physics, numerics and machine learning with application to sustainability and hydropower. The PhD research Fellow position is a part of the Computational Hydropower project (https://www.mn.uio.no/math/english/research/projects/comphydro/index.html) that aims to develop a new generation of modeling and learning tools for applications in sustainable energy applications -- with particular focus on hydro power. The project is a collaboration between Expert Analytics, NTNU, Statkraft and UiO. For further information please contact: Professor Kent-Andre Mardal (mailto:[log in to unmask]) ------------------------------------------------------- From: Michele Ruggeri mailto:[log in to unmask] Date: February 19, 2022 Subject: PhD Position, Univ of Strathclyde, UK The Department of Mathematics and Statistics of the University of Strathclyde invites applications for a PhD studentship to work on the project "Soft Matter with Nematic and Magnetic Order: Models, Simulations and Applications" under the supervision of Prof. Apala Majumdar and Dr Michele Ruggeri. The aim of the project is to develop new mathematical models for ferronematic materials to account for both the nematic and magnetic order, and how they couple to each other. The focus is also on the design and analysis of new numerical methods for ferronematic systems. The mathematical models and numerical schemes will be applied to study the experimentally observable states in prototype ferronematics with a long term goal of designing and controlling ferronematic systems for tailor-made applications. A bachelor degree in Mathematics is required. Applicants should have some experience with partial differential equations, advanced calculus, mechanics, numerical methods and ideally some knowledge of basic coding in any programming language. The studentship covers home fees and stipend. Further funding opportunities for strong international candidates will be explored. Interested candidates should send their CV with a brief statement of interest to Apala Majumdar (mailto:[log in to unmask]) and Michele Ruggeri (mailto:[log in to unmask]). Further information can be found at the following link: http://shorturl.at/iqBFT ------------------------------------------------------- From: Laurette Lauffer mailto:[log in to unmask] Date: February 14, 2022 Subject: Doctoral Positions, Wave Phoenomena, KIT Within the Collaborative Research Center "Wave phenomena - analysis and numerics" (CRC 1173) we are currently seeking to recruit, as soon as possible, limited to three years, Doctoral Researchers (f/m/d - 75 %) for the project C2 "Seismic imaging by full waveform inversion". We seek an ambitious doctoral researcher with strong interest both in theoretical and practical aspects of full- waveform inversion. You will have the opportunity to attend courses, conferences, workshops, and summer schools. Engagement in teaching is encouraged. The following qualifications are required: Excellent Master or an equivalent degree in Geophysics. Strong theoretical background in seismic imaging and inverse problems. We expect good writing and oral communication skills in English along with the ability to work independently within an international team. Programming skills and experience with the modeling and inversion of seismic waveforms are a plus. Applications should include a cover letter, a curriculum vitae, a statement of research interest, contact information for two referees, and copies of degree certificate(s) in one pdf. For further information see: https://www.waves.kit.edu/joboffers.php ------------------------------------------------------- From: Masoud Hajarian mailto:[log in to unmask] Date: February 14, 2022 Subject: New Journal, CMCMA With great pleasure we announce the launch of our new journal: Computational Mathematics and Computer Modeling with Applications (CMCMA) https://cmcma.sbu.ac.ir/. CMCMA is an international journal published by Shahid Beheshti University, Tehran, Iran, founded in 2022. CMCMA is open access and free of charges. Submissions should be sent online in the web site: https://cmcma.sbu.ac.ir/. Refereeing process: Our review process type is the single-blind peer review. CMCMA publishes high-quality original research papers in all areas of modelling, applied and computational mathematics. Appropriate areas include, but are not limited to: Tensor computations and applications; Numerical linear algebra; Application of methods of numerical linear algebra in science, engineering and economics; Machine learning; Numerical optimization; Computational statistics; Control systems; Iterative methods for nonlinear equations; Fast numerical algorithms; Parallel computations; Numerical solutions of PDEs; Theory and computations of non-local modelling and fractional partial differential equations; Imaging algorithms, deep neural network configurations and vision restorations; Stochastic partial differential equations; Computational finance and applications; Computational medicine, biomedicine and epidemiology; Inverse problems and data analysis; Modeling using PDEs; Analysis of mathematical models, formulated in terms of PDEs; Discretization methods and numerical analysis for PDEs; Verification and validation; Interpolation and approximation; Integral equations. ------------------------------------------------------- From: Saul Buitrago Boret mailto:[log in to unmask] Date: February 14, 2022 Subject: Contents, Bulletin of Computational Applied Mathematics, 9 (2) Table of Contents Bulletin of Computational Applied Mathematics, Vol.9, N2 http://www.compama.co.usb.ve/table-of-contents https://sites.google.com/usb.ve/bullcompama/table-of-contents Detection of discontinuity points in one variable functions using spaces of trigonometric functions, Pablo Palma, Rodolfo Gallo, Raul Manzanilla Prediction of trending topics using ANFIS and deterministic models, Rene Escalante, Marco Odehnal A common fixed point theorem for compatible mappings satisfying a contractive condition involving altering distance functions, Wilmer Barrera A note on the integrability of exceptional potentials via polynomial bi-homogeneous potentials, Primitivo B. Acosta-Humanez, Martha Alvarez-Ramirez, Teresinha J. Stuchi Interior estimates of first order for initial value problems in the octonion algebra, Yandry Intriago, Eusebio Ariza Garcia, Carmen Judith Vanegas Design of an imputation methodology by random selection using regression trees, Lelly Useche; Jean Perez Parray; Carlos Garcia-Mendoza; Ana Ides Chacon One-dimensional Quaternion Fourier Transform and Some Applications, Eusebio Ariza Garcia, Claudia Jimenez Heredia, Carlos Chipantiza ------------------------------------------------------- End of Digest **************************