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 Subject: NA Digest, V. 22, # 27 NA Digest Monday, August 29, 2022 Volume 22 : Issue 27 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: NA Digest Submissions Problems Fixed New Book, A Toolbox for Digital Twins Career Fair, SIAM MDS22, USA, Sep 2022 MFEM Finite Element Community Workshop, ONLINE, Oct 2022 Model Reduction and Model Predictive Control, Germany, Oct 2022 Modeling, Simulation and Applied Optim, Morocco, Apr 2023 Spectral and High Order Methods, Korea, Aug 2023 Chairperson Position, CMSE, Michigan State Univ Associate Publisher Positions, Springer Tenure Track Position, Numerical methods for PDEs, KIT Postdoc Position, Atomistic Simulation of Steels in Hydrogen Postdoc Position, Clemson Univ Postdoc Position, Computational Maths, Germany Postdoc Position, Computational Mechanics, Vanderbilt Univ Postdoc Position, Data Assimilation and ML, Univ of Potsdam Postdoc Position, Federated Learning, BCAM Postdoc Position, Illinois Institute of Technology Postdoc Position, John von Neumann Fellowship, Sandia NL Postdoc Position, Lattice QCD, William & Mary Postdoc Position, ML for Energy Forecasting, BCAM Postdoc Position, Machine Learning, Tufts University, USA Postdoc Position, Matrix Solvers for Fusion Energy, Univ of Bolzano Postdoc Position, NA and ML, GSSI-SNS, Italy Postdoc Position, NA or Scientific Comp, Honk Kong Polytechnic Univ Postdoc Position, Scientific Computing, Argonne National Lab Postdoc Positions, Alvarez and Hopper Fellowships, Berkeley Lab Postdoc Positions, Computational Maths, Imperial College London Postdoc Positions, Quantum Algorithms, Berkeley Lab Postdoc position, Numerical Analysis and Simulation, HKU Research Technician Position, Atomistic Simulation, BCAM Research Technician Position, ML and Applications, IA4TES, BCAM Research Technician Position, Metaheuristic Optimization, BCAM Research Technician Position, Optimization Hyperheuristics, BCAM Research Associate Positions, Michigan State Univ PhD Position, Local Algebra, BCAM PhD Position, Mathematical Analysis, SISSA, Italy Contents, J Computational Mathematics, 40 (4) Contents, Adv Comput Math (ACOM), 48 (4) Contents, Evolution Equations and Control Theory EECT, 11 (5) Contents, Mathematical Modelling and Analysis, 27 (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: Danny Dunlavy [log in to unmask] Date: August 29, 2022 Subject: NA Digest Submissions Problems Fixed The web submission form was offline for some time due to recent changes in the server that hosts the NA Digest. We apologize for any inconvenience this may have caused. It is now working again, so please submit your announcements if you had attempted to do so earlier and received errors. Best regards, Danny Dunlavy NA Digest Editor ------------------------------------------------------- From: Mitch Graham [log in to unmask] Date: August 05, 2022 Subject: New Book, A Toolbox for Digital Twins A Toolbox for Digital Twins: From Model-Based to Data-Driven by Mark Asch This book brings together the mathematical and numerical frameworks needed for developing digital twins. Starting from the basics -- probability, statistics, numerical methods, optimization, and machine learning -- and moving on to data assimilation, inverse problems, and Bayesian uncertainty quantification, the book provides a comprehensive toolbox for digital twins. Emphasis is also placed on the design process, denoted as the "inference cycle," the aim of which is to propose a global methodology for complex problems. July 2022 / xxiv + 832 pages / Softcover / 978-1-611976-96-0 / Price \$120.00 Bookstore Link: https://my.siam.org/Store/Product/viewproduct/?ProductId=41813926 ------------------------------------------------------- From: Kris ONeill [log in to unmask] Date: August 05, 2022 Subject: Career Fair, SIAM MDS22, USA, Sep 2022 The Society for Industrial and Applied Mathematics (SIAM) is hosting a career fair on September 29, 2022 in conjunction with the SIAM Conference on the Mathematics of Data Science (MDS22) in San Diego, CA. We're expecting to draw hundreds of graduate students and early career professionals looking for their next career opportunity. This is an/ideal place to recruit employees with mathematical, computational, and data science education and training, and it is also an excellent opportunity to present your company's mission and vision to a broad audience. We have a limited number of booths available, so employers if you're interested in participating please register as soon as possible. Job seekers and employers can sign up for the event at this link: https://www.siam.org/careers/resources/siam-career-fairs Please contact [log in to unmask] with any exhibit, sponsor, or career fair questions. ------------------------------------------------------- From: Tzanio Kolev [log in to unmask] Date: August 22, 2022 Subject: MFEM Finite Element Community Workshop, ONLINE, Oct 2022 We are pleased to announce the second MFEM Community Workshop which will take place on October 25, 2022, as a one-day virtual meeting. The workshop's goals are to foster collaboration among all users and developers of the MFEM Modular Finite Element Methods library (https://mfem.org), share the latest MFEM features with the broader community, deepen application engagements, and solicit feedback to guide future development directions for the project. We would like to invite all who are interested in MFEM, as well as anyone in the broader finite element community, to join this workshop. If you are interested, please register by October 11th at https://forms.gle/voPNCQWwXDHZ96uQ6 There is no registration fee. Videoconferencing details will be distributed to participants prior to the event date. We will also be hosting a simulation and visualization competition for registered participants. For more information, please see the workshop webpage at https://mfem.org/workshop ------------------------------------------------------- From: Liljegren-Sailer, Björn [log in to unmask] Date: August 18, 2022 Subject: Model Reduction and Model Predictive Control, Germany, Oct 2022 The DFG Research Training group 2126 "Algorithmic Optimization" is proud to announce its 7th annual Autumn School on the topic of Model Reduction and Model Predictive Control with Differential Equations, scheduled to take place in Trier from October 4 - 7, 2022. Confirmed Speakers are: Prof. Dr. Tobias Breiten (TU Berlin) Prof. Dr. Tobias Damm (TU Kaiserslautern) Prof. Dr. Jan Heiland (Max Planck Institut Magdeburg) Dr. Benjamin Unger (Universit t Stuttgart) We are able to offer stipends to assist with travel expenses for qualified participants. Please refer to the ALOP website [1] for more information, the registration, and the application for a travel stipend. Applications must be submitted no later than September 12, 2022 and are processed as fast as possible. You are welcome to share this announcement and to display the poster [2] at your institution. [1] https://alop.uni-trier.de/event/autumn-school-on-model-reduction-and- model-predictive-control-with-differential-equations/ [2] https://seafile.rlp.net/f/94d242f944ab42cdace6/ ------------------------------------------------------- From: Youssef Belhamadia [log in to unmask] Date: August 25, 2022 Subject: Modeling, Simulation and Applied Optim, Morocco, Apr 2023 We are pleased to announce that the 9th International Conference on Modeling, Simulation and Applied Optimization will be held in Marrakesh, Morocco on April 26th-28th 2023, www.icmsao.org ICMSAO provides a venue for engineers, mathematicians, and scientists from all over the world to share their latest research results in the fields of modelling, simulation and optimization. We would like to invite you to submit your original and unpublished research work to the ICMSAO'23. Accepted and presented papers will be published in the AIP Conference Proceedings indexed in leading databases including Scopus and Web of Science. The deadline to submit your paper(s) is October 3rd 2022. ------------------------------------------------------- From: Eun-Jae Park [log in to unmask] Date: August 27, 2022 Subject: Spectral and High Order Methods, Korea, Aug 2023 We are pleased to announce that the International Conference on Spectral and High Order Methods (ICOSAHOM 2023) will be held at Yonsei University, Seoul, Korea during August 14-18, 2023. ICOSAHOM 2023 is the fourteenth edition of a series that began in 1989 and the purpose of the ICOSAHOM conference series is to bring together researchers and practitioners with an interest in the theoretical, computational and applied aspects of high-order and spectral methods in various problems arising in science and engineering. More information on the conference can be found at the website: https://www.icosahom2023.org At the moment, the conference is intended to be an in-person off-line meeting; however, in the case of unexpected pandemic situations, the conference could be turned to a hybrid meeting. ------------------------------------------------------- From: Yingda Cheng [log in to unmask] Date: August 16, 2022 Subject: Chairperson Position, CMSE, Michigan State Univ Michigan State University invites applications and nominations for an educator and scholar with the vision to serve as Chairperson of the Department of Computational Mathematics, Science and Engineering (CMSE). The CMSE department (https://cmse.msu.edu/)is entering its eighth year as one of the first academic units in the nation to focus on computational science and data science as a discipline. Currently housing over 57 full-time and associated faculty members, the department seeks to educate the data-driven work force of the future and build collaborative interdisciplinary teams with expertise, amongst other, in machine learning, artificial intelligence, statistical learning, algorithm development, data analytics, mathematical theory, and application domains. Chair candidates should be committed to the advancement of undergraduate and graduate education, have a distinguished record of research and professional accomplishment, have strong leadership and management abilities, and be dedicated to promoting diversity and inclusion among students, staff and faculty. Continuation of an active research program is expected and will be supported. The successful candidate must be eligible for an appointment at the rank of tenured full Professor in the discipline of computational science or data science. The job ad and more information can also be found at https://cmse.msu.edu/employment-opportunities/cmse-chairperson1/ ------------------------------------------------------- From: Jan Holland [log in to unmask] Date: August 25, 2022 Subject: Associate Publisher Positions, Springer Springer currently has two vacancies for Associate Publisher within the Mathematics journals team. One is a 12 month fixed contract and the other is a permanent role. The Associate Publisher will be the primary publishing contact responsible for the growth, development, and editorial management of a dynamic portfolio of Mathematics journals. This includes setting and implementing journal plans, supporting key stakeholders (Editors, authors, reviewers, and societies) as well as identifying and pursuing new relevant areas for growth. The positions are open in our New York, Philadelphia, London and Heidelberg offices. For more information or in order to apply, please use the following links: https://careers.springernature.com/job-invite/45165/ https://careers.springernature.com/job/New-York-Associate-Publisher/841871501/ ------------------------------------------------------- From: Marlis Hochbruck [log in to unmask] Date: August 18, 2022 Subject: Tenure Track Position, Numerical methods for PDEs, KIT Karlsruhe Institute of Technology invites applications for a tenure-track professorship (W1) for numerical methods for partial differential equations. Possible research areas are space discretization, time discretization, inverse problems, optimization or uncertainty quantification. A relation to wave phenomena is mandatory. Participation in the research focus "Partial Differential Equations" and the Collaborative Research Center 1173 "Wave Phenomena" at the Department of Mathematics is expected. Employment will initially be for a period of six years. If the final tenure evaluation is positive, the successful candidate will be promoted to the rank of tenured full professor (W3). Deadline for applications is September 7, 2022. More information about the position and how to apply can be found here: https://www.pse.kit.edu/english/karriere/joboffer.php?id=81225&new=true ------------------------------------------------------- From: Basque Center for Applied Mathematics - BCAM [log in to unmask] Date: August 25, 2022 Subject: Postdoc Position, Atomistic Simulation of Steels in Hydrogen This work is framed within the Basque government funded Elkartek project M-KONTAK, in which several agents of the Basque Science, Technology and Innovation Network (including BCAM) are involved. The purpose of M-KONTAK is the development of a multi-scale modelling methodology to fundamentally understand the behavior of steels in hydrogen-rich environments. In BCAM, we will be focusing on the atomistic modelling of Hydrogen-induced embrittlement (HE), which can significantly reduce the ductility and load-bearing capacity and cause cracking and catastrophic brittle failures at stresses below the yield stress. The postdoctoral fellow will combine density functional theory with kinetic Monte Carlo and/or Molecular Dynamics to simulate hydrogen diffusion at steel grain boundaries, with the aim of extracting kinetic and thermodynamic parameters that can be employed by our partners in continuous phase field models to understand the influence of morphology, temperature, and composition on HE at a microscopic scale. Deadline: 30 September 2022 Applications at: http://www.bcamath.org/en/research/job/ic2022-08-postdoctoral-fellowship-in-atomistic-simulation-of-steels-in-hydrogen-a-rich-environments Requirements: M.Sc. or B.Sc. degree in Mathematics, Statistics, Computer Science and related disciplines. Skills and track record: Good interpersonal skills. Demonstrated ability to work independently and as part of a collaborative research team. 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: Solid programming skills in Julia. Candidates without specific knowledge of Julia but excellent skills in structurally similar languages such as Python, MATLAB, C++ or Ruby may be considered. Background in optimization methods. Specific knowledge in metaheuristic techniques such as simulated annealing of harmonic search is highly desirable. Experience with molecular dynamics codes (GROMACS, LAMMPS, etc.) is desirable. ------------------------------------------------------- From: Timo Heister [log in to unmask] Date: August 17, 2022 Subject: Postdoc Position, Clemson Univ The Clemson School of Mathematical and Statistical Sciences is seeking to hire a postdoc with start date January 1, 2023. We especially encourage applicants in computational mathematics, numerical analysis, and scientific computing. For more information please see https://www.mathjobs.org/jobs/list/20410 ------------------------------------------------------- From: Daniel Ruprecht [log in to unmask] Date: August 23, 2022 Subject: Postdoc Position, Computational Maths, Germany We invite qualified candidates to apply for a 2-year postdoc position at Hamburg University of Technology in Hamburg, Germany. The successful candidate will develop efficient numerical algorithms for ocean models on extreme-scale parallel computers by integrating techniques from machine learning into "classical" numerical methods. The deadline for applications is 19 September 2022. Please use our online portal to apply: https://stellenportal.tuhh.de/jobposting/8a1052feeaf444073beed093b0739f 3ac6a2db25 ------------------------------------------------------- From: David Hyde [log in to unmask] Date: August 16, 2022 Subject: Postdoc Position, Computational Mechanics, Vanderbilt Univ Applications are invited for a postdoctoral position under the joint supervision of Prof. Ravindra Duddu (Civil and Environmental Engineering) and Prof. David Hyde (Computer Science). The candidate will conduct research in the broad area of computational solid/fluid mechanics and is expected to contribute to projects funded by NSF, NASA and the Royal Society of London. The specific topic is related to modeling ice shelf fracture using material point method and phase field damage models. The postdoc with collaborate with researchers at Princeton University and Durham University (UK). Basic qualifications: The candidate must have completed a Ph.D. in Civil or Mechanical or Aerospace Engineering, Computational and Applied Mathematics, Physics or a related field. The candidate is expected to have a good record of publications and possess excellent verbal and written communication skills. The candidate will be working in a multi-disciplinary research environment and work in close collaboration with material scientists, biomedical engineers and clinicians. Desired qualifications: The ideal candidate would have a strong background in numerical analysis and scientific computing, and have prior experience with the material point method or finite element method and fracture simulation using phase field models. Experience with finite element software such as FEniCS, programming in C++ and knowledge of parallel computing strategies is desirable. To apply, email Prof. David Hyde ([log in to unmask]) and Prof. Ravindra Duddu ([log in to unmask]) with your CV, cover letter and the full contact details of three professional references. Vanderbilt University is an equal opportunity, affirmative action employer. Women, minorities and people with disabilities are encouraged to apply. ------------------------------------------------------- From: Sebastian Reich [log in to unmask] Date: August 22, 2022 Subject: Postdoc Position, Data Assimilation and ML, Univ of Potsdam Data Assimilation and Machine Learning Postdoctoral Research Position at the University of Potsdam. The position is funded by the DFG as part of the Collaborative Research Centre SFB 1114 Scaling Cascades and will be hosted at the Department of Mathematics, University of Potsdam. This is a fixed term position: November 01, 2022 till June 30, 2026. Starting and end dates are negotiable within these boundaries. Description: The successful candidate will join research project A02 (PIs: Rupert Klein, Sebastian Reich, Claudia Schillings) within the collaborative research centre SFB 1114 (http://www.mi.fu-berlin.de/en/sfb1114). The overarching aim of the project is to advance the mathematical foundation and algorithmic implementation of data assimilation and machine learning techniques for calibration of numerical weather prediction models from multi-scale data. The project combines foundational research with applications to meteorology and atmospheric blocking events in particular. A strong background in stochastic analysis, statistics and numerical modelling is essential. Applications including CV, list of publications, letter of motivation, link to an electronic copy of your PhD thesis, and contact details of two referees should be sent as a single PDF document to [log in to unmask] Deadline: Applications will be reviewed on September 19, 2022, and will continue to be considered until the position is filled. ------------------------------------------------------- From: Idoia Hernandez [log in to unmask] Date: August 17, 2022 Subject: Postdoc Position, Federated Learning, BCAM Basque Center for Applied Mathematics is offering a Psotdoctoral position un federated learning in probabilistic classifiers to work with Artiz Perez in Machine Learning research line. Traditional machine learning approaches need to combine all data at one location. Federated machine learning addresses the problems of distributed data and privacy with novel solutions combining distributed machine learning and security. The main goal of this position consists of developing federated learning algorithms of probabilistic classifiers. The algorithms will be analyzed theoretically and through an extensive experimentation. The position of research technician is part of the Elkartek project EGIA (KK-2022/00119), that addresses the problem of edge and distributed computing. Deadline: 12 September 2022 Applications at: http://www.bcamath.org/en/research/job/ic2022-08-postdoctoral-fellowship-in-federated-learning-elkartek-kk-2022-00119 Requirements: Promising young researchers. PhD degree in Physics, Applied Mathematics, Chemical/Mechanical/Biomedical Engineering. Python programming. Strong background on Machine Learning. Skills: Good communication and interpersonal skills. Ability to effectively communicate and present research ideas to researchers with different background (e.g., mathematicians and engineers). Ability to clearly present and publish research outcomes in spoken (talks) and written (papers) form. Good command of spoken and written English. The preferred candidate will have: Strong background in Machine Learning. Experience in programming with Python. Experience in parallel programming for HPC is desirable. ------------------------------------------------------- From: Shuwang Li [log in to unmask] Date: August 24, 2022 Subject: Postdoc Position, Illinois Institute of Technology The Department of Applied Mathematics at Illinois Institute of Technology invites applications for a postdoctoral fellowship in computational mathematics. The appointment is for one year with the possibility of renewal for an additional year. Priority is given to applicants with research expertise and interest in computational mechanics, numerical PDE, and applications in materials, biology and data science. This position will require research and some teaching. Applications will be considered now until the position is filled. To apply, send a cover letter, curriculum vitae, brief research plan, and the names of three references to Shuwang Li, [log in to unmask] Illinois Institute of Technology is an EEO/AA/Title VI/Title IX/Section 504/ADA/ADEA employer committed to enhancing equity, inclusion and diversity within its community. ------------------------------------------------------- From: Michael Parks [log in to unmask] Date: August 16, 2022 Subject: Postdoc Position, John von Neumann Fellowship, Sandia NL Sandia National Laboratories invites outstanding candidates to apply for the 2023 John von Neumann Postdoctoral Research Fellowship in Computational Science. This prestigious fellowship is partially supported by the Applied Mathematics Research Program in the U.S. Department of Energy's Office of Advanced Scientific Computing Research. The fellowship provides an exceptional opportunity for innovative research in computational mathematics and scientific computing on advanced computing architectures with application to a broad range of science and engineering problems of national importance. Applicants must have or will receive a Ph.D. in applied/computational mathematics or a related area, such as computer science, engineering, or statistics, conferred after January 1, 2019 and no later than August 2023. This appointment is for one year, with a possible renewal for a second year, and includes a highly competitive salary, moving expenses and a generous professional travel allowance. Complete applications received by November 22, 2022 will receive full consideration. For more information, including application instructions, please see our web page at https://www.sandia.gov/careers/career-possibilities/students-and-postdocs/fellowships/john-von-neumann-fellowship/ Equal Opportunity Employer. M/F/D/V. ------------------------------------------------------- From: Andreas Stathopoulos [log in to unmask] Date: August 17, 2022 Subject: Postdoc Position, Lattice QCD, William & Mary Postdoctoral Research Associate on computational aspects of Lattice QCD, Computer Science Department The Department of Computer Science (CS) at William & Mary, a public university of the Commonwealth of Virginia, invites applications for a one-year, postdoctoral research associate position that will begin after November 1, 2022. The position is funded by the Department of Energy and will be co-directed by Prof. Andreas Stathopoulos in CS and Prof. Kostas Orginos in Physics. We seek an individual with expertise in computational aspects of Lattice QCD. The successful applicant will be expected to lead a research program that involves advanced computational methods for the solution of various linear operators, the improvement of current multigrid technologies, the variance reduction in computations of disconnected diagrams, as well as their implementations on high performance computing resources. Required Qualifications: Ph.D. in a scientific computing area, with strong programming skills in C/C++. Strong background in one of the three areas: Lattice QCD, numerical linear algebra, or high-performance computing. Preferred Qualifications: Strong background across more of the above areas and experience with QUDA or CUDA programming. Applicants must apply online at https://jobs.wm.edu/postings/49814. Submit a curriculum vitae, a cover letter, and a statement describing previous professional experience or future plans (or both) that also demonstrate(s) a commitment to diversity and inclusion. You will be prompted to submit online the names and email addresses of three references who will be contacted by the system with instructions for how to submit a letter of reference. For full consideration, submit application materials by Sept 16, 2022. Applications received after that review date will be considered if needed. William & Mary values diversity and invites applications from underrepresented groups who will enrich the research, teaching and service missions of the university. The university is an Equal Opportunity/Affirmative Action employer and encourages applications from women, minorities, protected veterans, and individuals with disabilities. William & Mary conducts background checks on applicants being considered for employment. ------------------------------------------------------- From: Idoia Hernandez [log in to unmask] Date: August 16, 2022 Subject: Postdoc Position, ML for Energy Forecasting, BCAM Basque Center for Applied Mathematics is offering a Postdoctoral position to work in Machine Learning for energy forecasting in the framework of "CHARGER+- Nueva Generacion de Puntos de Recarga de Vehiculo Electrico con Funcionalidades Autonomas y Colaborativas e Impacto Cero". The researcher will join Machine Learning research line to work with Dr Santiago Mazuelas. Deadline: 31 August 2022 Applications at: http://www.bcamath.org/en/research/job/ic2022-08-postdoctoral-fellowship-machine-learning-for-energy-forecasting Requirements: Applicants must have their PhD Degree preferable in Mathematics, Computer Science, Physics or related fields. Skills: Good interpersonal skills. 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. Flexibility to work on different topics and participate in multiple activities carried out by the research team. The preferred candidate will have: Demonstrated knowledge in machine learning techniques and mathematics. Good programming skills in Mathab or Python. ------------------------------------------------------- From: Eric Lawrence Miller [log in to unmask] Date: August 23, 2022 Subject: Postdoc Position, Machine Learning, Tufts University, USA Tufts University has openings for a post-doctoral researcher to engage in a cross-cutting project focusing on the development of machine learning models and algorithms to advance precision medicine in the area of anti- microbial resistance (AMR); i.e., the increasing ability of bacteria, fungi, and other micro-organisms to develop resistance to a range of antibiotics and other drugs. Current work is focused on the development of combination therapies adapted to the specifics of the case-in-hand. Such efforts lead naturally to a pair of related learning problems: prediction of clinical outcomes from a given course of treatment and determination of an optimal treatment strategy (which drugs in which amounts as a function of time) to achieve a desired clinical outcome both of which are hampered by the availability of relatively small sets of data. The project will involve collaboration with investigators with expertise in machine learning and signal processing, basic cell biology and biological engineering, as well as clinical immunology and infectious disease. Applicants must have a PhD in electrical engineering, computer science, applied mathematics, statistics, or a similar field. The ideal candidates will have experience with and a publication record in one or more of the following areas: modern methods of statistical signal processing, machine learning, optimization, or data science. Programming experience in Matlab or python is preferred. For more information about this position, please email Prof. Eric Miller ([log in to unmask]) and Prof. Bree Aldridge ([log in to unmask]). Interested candidates should provide Prof. Miller with a copy of their CV, list of references, cover letter, and copies of relevant articles, theses, technical reports etc. ------------------------------------------------------- From: Bruno Carpentieri [log in to unmask] Date: August 22, 2022 Subject: Postdoc Position, Matrix Solvers for Fusion Energy, Univ of Bolzano There are two postdoctoral positions in numerical analysis and scientific computing immediately available at the Faculty of Computer Science, Free University of Bozen-Bolzano, to develop matrix solvers for thermonuclear energy research applications. More details on the position and the application procedure can be found at the link: https://www.unibz.it/en/home/position-calls/positions-for-academic-staff/5914-numerical-analysis-prof-carpentieri?group=18 Interested applicants can contact Bruno Carpentieri by email ([log in to unmask]) for further inquiry. Closing date for job application is the 23rd of September 2022 at 12:00 PM (noon). ------------------------------------------------------- From: Francesco Tudisco [log in to unmask] Date: August 20, 2022 Subject: Postdoc Position, NA and ML, GSSI-SNS, Italy Gran Sasso Science Institute (GSSI) and Scuola Normale Superiore (SNS) have a joint opening for a Postdoctoral Fellow position on the analysis and training of neural dynamical systems. The successful candidate will collaborate with faculty members at GSSI and SNS, developing novel techniques and algorithms for neural networks defined via nonlinear systems of ODEs and PDEs, combining techniques from Numerical Analysis, Network Science, and Machine Learning. This is a two year position, with the first year spent at GSSI in L'Aquila and the second year at SNS in Pisa, coordinated by the three PIs: Michele Benzi (SNS), Nicola Guglielmi (GSSI), Francesco Tudisco (GSSI). We are looking for candidates who have a PhD in Mathematics, Physics, Computer Science or related disciplines and who have research experience in one or more of the following areas: numerical linear algebra and matrix theory; (numerical methods for) dynamical systems; numerical optimization and applications; matrix methods in systems theory and data science; (mathematics of) machine learning and compressed sensing; graph theory and network science. Deadline for application: September 12, 2022 To apply and for more information, please see: https://amministrazionetrasparente.sns.it/bando/numerical-stability-neural- dynamical-systems For inquiries, please do not hesitate to write to: [log in to unmask] ------------------------------------------------------- From: Buyang Li [log in to unmask] Date: August 26, 2022 Subject: Postdoc Position, NA or Scientific Comp, Honk Kong Polytechnic Univ The Department of Applied Mathematics, The Hong Kong Polytechnic University, invites applications from excellent graduating PhD students and early-career postdoctoral scholars for a two-year Postdoctoral Fellow position in numerical analysis or scientific computing; see the following webpage: https://www.polyu.edu.hk/ama/profile/byli/position.htm The department provides an excellent environment for the collaboration among the postdoctoral fellows and the assistant/associate/full professors. Candidates with strong background in PDE analysis or numerical analysis are welcome to apply. Candidates without strong background in analysis, but with strong coding skills, are also welcome to apply. The selection of the candidates will be based on the research publication of the candidates. Interested candidates may send a CV (with a full list of publications) to the email address: [log in to unmask] ------------------------------------------------------- From: Emil Constantinescu [log in to unmask] Date: August 22, 2022 Subject: Postdoc Position, Scientific Computing, Argonne National Lab The Laboratory for Applied Mathematics, Numerical Software, and Statistics (LANS) in the Mathematics and Computer Science (MCS) Division at Argonne National Laboratory invites outstanding candidates to apply for postdoctoral positions in the area of scientific computing with an emphasis on robust and efficient algebraic solvers, time integrators, numerical optimizers, or related technologies in the PETSc/TAO library. Applications and a detailed description, including qualifications for different research tracks, are found at https://tinyurl.com/p55rzds3 . ------------------------------------------------------- From: Esmond G. Ng [log in to unmask] Date: August 17, 2022 Subject: Postdoc Positions, Alvarez and Hopper Fellowships, Berkeley Lab Berkeley Lab is now accepting applications for the 2023 Luis W. Alvarez Postdoctoral Fellowship and the 2023 Admiral Grace Hopper Postdoctoral Fellowship in the Computing Sciences Area. Apply now for these two prestigious fellowships! Researchers in computer science, mathematics, or any computational science discipline who have received their Ph.D. within the last three years are encouraged to apply. The successful applicants will receive a competitive salary, professional travel allowance, relocation assistance, excellent benefits, and an opportunity to work in the San Francisco Bay Area. Since its founding in 2002, the Luis W. Alvarez Fellowship has cultivated exceptional young scientists who have gone on to make outstanding contributions to computational and computing sciences. The Admiral Grace Hopper Fellowship was established in 2015. Additional information on the Luis W. Alvarez Postdoctoral Fellowship and the Admiral Grace Hopper Postdoctoral Fellowship can be found at https://cs.lbl.gov/careers/computing-fellowships/. Berkeley Lab's Computing Sciences Area advances research in our core capabilities of computer science, mathematics, and computational science. In addition, we research, develop, and deploy new tools and technologies to impact scientific disciplines. Research areas in Computing Sciences include but are not limited to: developing scientific applications and software technologies for extreme-scale and energy-efficient computing; developing mathematical modeling for complex scientific problems; designing algorithms to improve the performance of scientific applications; researching digital and post-digital computer architectures for science; advancing extreme-scale scientific data management, analysis, and machine-learning; developing next-generation machine learning and AI approaches for science; advancing quantum computing technologies, software, algorithms and applications; evaluating or developing new and promising HPC systems and networking technologies researching methods to control and manage dynamic circuit networks; developing large-scale visualization and analytics technologies; and managing scientific data in distributed environments. Application Process: For consideration applications are due October 24, 2022. Letters of Reference are due October 31, 2022. Details of the application process can be found by search for job 96569 at https://jobs.lbl.gov/. ------------------------------------------------------- From: David Ham [log in to unmask] Date: August 16, 2022 Subject: Postdoc Positions, Computational Maths, Imperial College London The Firedrake team at Imperial is looking for two new research associates to conduct computational mathematics research through contributions to Firedrake and related projects such as FEniCS and PETSc. Firedrake is an automated system for numerically solving PDEs using the finite element method. Scientists and engineers around the world employ Firedrake to create simulations in diverse areas such as oceanography, geodynamics, quantum mechanics, and materials science. This is an opportunity to join the core Firedrake development team at Imperial and conduct computational mathematics research with direct routes to impact. The outputs of your research will be both papers in peer-reviewed journals, and high quality code contributed to Firedrake and related projects. This is an opportunity to build a reputation as a leading computational scientist whose work is used by a large community. For for more information, see the advertisement at: https://www.imperial.ac.uk/jobs/description/NAT01233/research-associate- computational-mathematics ------------------------------------------------------- From: Roel Van Beeumen [log in to unmask] Date: August 26, 2022 Subject: Postdoc Positions, Quantum Algorithms, Berkeley Lab We're looking for 2 Quantum Algorithms Postdocs at Lawrence Berkeley National Laboratory to work on the exciting intersection between Applied Mathematics and Quantum Computing. In this role, you will participate in research activities related to the development of mathematical tools for quantum subspace algorithms that are relevant to DOE and LBNL missions. What You Will Do: Develop efficient and stable linear algebra algorithms for quantum subspace methods. Develop and optimize numerical linear algebra techniques for accelerating quantum computing on near-term quantum hardware. Develop high-performance software tools that can be integrated with quantum simulators and quantum hardware. Work in a multidisciplinary team environment including mathematicians, computer scientists, and domain scientists. Publish results in peer-reviewed journals and conferences. What is Required: Ph.D. degree in Mathematics, Computer Science, Physics, or a relevant field. Strong background in numerical linear algebra and multi-linear (tensor) algebra. Knowledge of matrix decompositions, iterative methods, approximation theory, and optimization. Demonstrated experience to program proficiently in a high-level programming language, such as C++/C/FORTRAN. Excellent verbal and written communication skills. For more info see: https://jobs.lbl.gov/jobs/quantum-algorithms-postdoctoral-fellow-5138 https://jobs.lbl.gov/jobs/quantum-algorithms-postdoctoral-fellow-5139 ------------------------------------------------------- From: Guanglian Li [log in to unmask] Date: August 17, 2022 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: Basque Center for Applied Mathematics - BCAM [log in to unmask] Date: August 25, 2022 Subject: Research Technician Position, Atomistic Simulation, BCAM This work will be focusing on the atomistic modelling of electrode/electrolyte interfaces in lithium-ion batteries, employing reactive force fields. The researcher will set up and run simulations in LAMMPS, generate scripts for the post-processing of simulation trajectories and analyse and document his/her results. Deadline: 30 September 2022 Applications at: http://www.bcamath.org/en/research/job/ic2022-08-research-technician-for-the-atomistic-simulation-of-interfaces-in-battery-materials Requirements: M.Sc. or B.Sc. degree in Chemistry, Physics, Mathematics, Engineering, and related disciplines. Skills and track record: Good interpersonal skills. Demonstrated ability to work independently and as part of a collaborative research team. 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 with the LAMMPS atomistic simulation package (knowledge of GROMACS is a plus). Solid programming skills in either Python, C++ or Fortran. Experience with Linux, bash scripts. Background knowledge on the simulation of interfaces and/or battery materials is desirable. ------------------------------------------------------- From: BCAM Communication [log in to unmask] Date: August 24, 2022 Subject: Research Technician Position, ML and Applications, IA4TES, BCAM Research Technician in machine learning and applications - IA4TES Basque Center for Applied Mathematics is offering a Research Technician to work in Machine Learning and applications. The researcher will join the Machine Learning research line to work with Dr. Santiago Mazuelas. This contract will be funded by "IA4TES - Inteligencia Artifical para la Transicion Energetica Sostenible" project. Deadline: 10 September 2022 Applications at: http://www.bcamath.org/en/research/job/ic2022-08-research-technician-in-machine-learning-and-applications-a-ia4tes Requirements: Promising young researchers. Applicants must have their Bachelor's or Master's degree preferable in Mathematics, Computer Science, or related fields. Skills and track record: Good interpersonal skills. 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. The preferred candidate will have: Strong technical academic training in mathematics or computer science. Good programming skills in Matlab and/or Python. ------------------------------------------------------- From: Basque Center for Applied Mathematics - BCAM [log in to unmask] Date: August 25, 2022 Subject: Research Technician Position, Metaheuristic Optimization, BCAM We have recently developed a novel metaheuristic methodology for optimizing the distribution of atoms and vacancies in solid-state materials. Our approach is currently programmed in the package Julia and has been tested in the solid-state electrolyte LLZO. The researcher will rewrite/reformat the code, as well as write a manual to share it with the wider community. He/she will also investigate the optimal set of parameters to maximize the algorithm's performance, and work on the implementation of additional features. Deadline: 30 September 2022 Applications at: http://www.bcamath.org/en/research/job/ic2022-08-research-technician-on-metaheuristic-optimization-of-solid-state-materials Requirements: M.Sc. or B.Sc. degree in Mathematics, Statistics, Computer Science and related disciplines. Skills and track record: Good interpersonal skills. Demonstrated ability to work independently and as part of a collaborative research team. 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: Solid programming skills in Julia. Candidates without specific knowledge of Julia but excellent skills in structurally similar languages such as Python, MATLAB, C++ or Ruby may be considered. Background in optimization methods. Specific knowledge in metaheuristic techniques such as simulated annealing of harmonic search is highly desirable. Experience with molecular dynamics codes (GROMACS, LAMMPS, etc.) is desirable. ------------------------------------------------------- From: Idoia Hernandez [log in to unmask] Date: August 17, 2022 Subject: Research Technician Position, Optimization Hyperheuristics, BCAM Basque Center for Applied Mathematics - BCAM is offering a Research Technician position in optimization hyperheuristics to work with Aritz Perez in Machine Learning research line. In some optimization problems the evaluation of a solution can be very expensive, e.g., an accurate simulation of a complex physical system. In this project we will develop hyperheuristic optimization algorithms that control the number of evaluations. The hyperheuristic will be a combination of a population heuristic algorithm and a controller, which guides the evolution process of the solutions that conform the population. The hyperheuristic algorithm will allow to control the number of evaluations by means of two complementary strategies: 1) train the controller on simplified versions of the problem, e.g., simplified simulations of the physical system; and 2) train the controller allowing a maximum number of evaluations during the optimization process. The position of research technician is part of the Elkartek project KONFLOT (KK-2022/00100). The project addresses the problem of the design of floating wind turbines, and BCAM is in charge of the design of optimization algorithms. Deadline: 12 September 2022 Applications at: http://www.bcamath.org/en/research/job/ic2022-08-research-technician-in-optimizacion-hyperheuristics-elkartek-konflot-kk-2022-00100 Requirements: Experience programming with Python. Have obtained a degree in mathematics, computer science or physics within the last 5 years. Skills: Ability to present and publish research outcomes in spoken (talks) and written (papers) form. Ability to write technical reports. Demonstrated ability to work independently and as part of a collaborative research team. Fluency in spoken and written Spanish. Experience in supervised classification and multi-objective heuristic optimization. The preferred candidate will have: Good programming skills in Python. Background in machine learning. Background in heuristic optimization. ------------------------------------------------------- From: Guowei Wei [log in to unmask] Date: August 17, 2022 Subject: Research Associate Positions, Michigan State Univ The Department of Mathematics at Michigan State University invites applications for Mathematical Biology Research Associates with a starting date of August 16, 2023. However, earlier starting dates are possible. These are one-year, benefits-eligible positions that are potentially renewable on an annual basis contingent upon satisfactory performance and availability of funding. Candidates will be mainly evaluated on their potential in research. Candidates are required to have a Ph.D. in Mathematics or equivalent area, such as computational chemistry/biology/biophysics and computer science. Applications are considered from any of the focus areas 1) AI- based drug design and discovery, 2) Bioinformatics/protein engineering/single-cell RNA sequence analysis, 3) Machine learning/deep learning, 4) Computational topology/geometry/graph. Research Associates will be affiliated with Professor Guowei Wei, who will direct their research activities. The research associates will engage in our active instructional mentoring program if their appointment includes an instructional component. Applicants must submit their application materials to the Mathematical Biology Research Associate job posting on Mathjobs.org to be considered. A complete application includes a vita, research statement the indicates their experience in any of the four focus area, and at least 3 letters of recommendation, one of which must address their teaching experience. Minimum Requirements: Candidates are required to have a Ph.D. in Mathematics or equivalent area before the starting date. Review of applications will begin on October 1, 2022 and continue until positions are filled. A background check is required for employment. ------------------------------------------------------- From: Idoia Hernandez [log in to unmask] Date: August 16, 2022 Subject: PhD Position, Local Algebra, BCAM The Singularity Theory and Algebraic Geometry group in the Basque Center for Applied Mathematics is looking for a PhD candidate to work with Ilya Smirnov in the general area of local algebra. The research area of the Fellowship will be local algebra, a branch of commutative algebra that originates from the study of singularities of the system of polynomial equations. More generally, it studies local rings from the viewpoint shaped by singularity theory and algebraic geometry as the results can be applied to local rings formed by the germs of functions at a point. The specific project is to be determined in discussions with the Fellow, the potential areas are multiplicity theory and positive characteristic methods in commutative algebra. Multiplicity theory is one of the oldest parts of local algebra, but it recently had an influx of new ideas largely focused on Lech's inequality. The inequality can be improved in various ways and this work is yet to be fully completed. Positive characteristic methods refer to the algebraic study of singularities over a field of positive characteristic based on the use of the Frobenius endomorphism: there are various classes of so-called F-singularities and an even greater number of numerical invariants. This field is closely connected to algebraic geometry, but it has also purely algebraic open problems. The candidate should have a Master degree by the start of the fellowship, but not at the time of the application. The length of the position is 4 years. Deadline: 30 September 2022 Applications at: http://www.bcamath.org/en/research/job/ic2022-07-phd-in-local-algebra Skills: Applicants must have an excellent academic record. Good command of spoken and written English. Ability to clearly present in spoken and written form. A solid knowledge of algebra proven by taken classes and a master thesis in related areas. Mathematical maturity. The preferred candidate will have: Background in commutative algebra or algebraic geometry. Basic experience in programming, such as computer algebra systems (Matlab, Maple, Mathematica, etc) may be useful. ------------------------------------------------------- From: Gianluigi Rozza [log in to unmask] Date: August 16, 2022 Subject: PhD Position, Mathematical Analysis, SISSA, Italy In the framework of the doctoral programme in Mathematical Analysis, Modelling and Applications at SISSA (mathematics area) we do announce six fellowships supported by the national recovery plan in applied mathematics and scientific computing. (see sissa.it, math.sissa.it, mathlab.sissa.it). Interested candidates are kindly asked to apply by August 31, 2022 at 1pm. Info and applications link: https://www.sissa.it/bandi/admission-sissa-phd-courses-academic-year-202223-piano-nazionale-di-ripresa-resilienza-pnrr Available projects in cooperation with industry: "Development of Algorithms for Reinforcement Learning" in collaboration with Danieli Automation SpA "Mathematical and numerical modeling, scientific computing, data science and the study of automatic and intelligent algorithms for the study of products and / or processes" in collaboration with Dofware S.r.l. "Reduction models for the parametric study of temporary flooring panels for large events" in collaboration with EPS Italia S.r.l. "Development of advanced reduced methods of parametric optimization for the structural analysis of cruise vessels" in collaboration with Fincantieri SpA More info here: https://www.sissa.it/sites/default/files/Schede%20Info%202022_23_DM352_AMMA.pdf Other available projects: "Mathematical Analysis, Modelling, and Applications - Cultural Heritage " (Mathematical and numerical modelling for large scale simulations in environmental science and geophysics by data-driven methodologies to protect artistic and monumental heritage) "Mathematical Analysis, Modelling, and Applications - Double degree in collaboration with TU Eindhoven" on "Machine Learning for Turbulence" https://www.sissa.it/sites/default/files/Schede%20Info%202022_23_PNRR_AMMA.pdf ------------------------------------------------------- From: Yonghui Yu [log in to unmask] Date: August 22, 2022 Subject: Contents, J Computational Mathematics, 40 (4) Journal of Computational Mathematics, Volume 40 (2022), issue 4 CONTENTS A New Hybridized Mixed Weak Galerkin Method for Second-order Elliptic Problems, Abdelhamid Zaghdani, Sayed Sayari and Miled EL Hajji An Explicit Multistep Scheme for Mean-field Forward-backward Stochastic Differential Equations, Yabing Sun, Jie Yang, Weidong Zhao and Tao Zhou General Full Implicit Strong Taylor Approximations for Stiff Stochastic Differential Equations, Kai Liu and Guiding Gu A Dissipation-preserving Integrator for Damped Oscillatory Hamiltonian Systems, Wei Shi and Kai Liu Knot Placement for B-Spline Curve Approximation via l\infty,1-Norm and Differential Evolution Algorithm, Jiaqi Luo, Hongmei Kang and Zhouwang Yang Strong Convergence of the Euler-Maruyama Method for a Class of Stochastic Volterra Integral Equations, Wei Zhang A Conforming Quadratic Polygonal Element and Its Application to Stokes Equations, Xinjiang Chen and Yanqiu Wang Waveform Relaxation Methods for Lie-group Equations, Yaolin Jiang, Zhen Miao and Yi Lu ------------------------------------------------------- From: Alex Barnett [log in to unmask] Date: August 16, 2022 Subject: Contents, Adv Comput Math (ACOM), 48 (4) Numerical methods with particular solutions for nonhomogeneous Stokes and Brinkman systems, Carlos J. S. Alves, Nuno F. M. Martins, Ana L. Silvestre An adaptive finite volume method for the diffraction grating problem with the truncated DtN boundary condition, Zhoufeng Wang Adaptive finite element approximation for steady-state Poisson-Nernst- Planck equations, Tingting Hao, Manman Ma, Xuejun Xu Design and analysis of the Extended Hybrid High-Order method for the Poisson problem, Liam Yemm, OPEN ACCESS Accurate computations with matrices related to bases {tie\lambdat}, E. Mainar, J. M. Pena, B. Rubio, OPEN ACCESS Uniform error bound of a conservative fourth-order compact finite difference scheme for the Zakharov system in the subsonic regime, Teng Zhang, Tingchun Wang Numerical algorithms for water waves with background flow over obstacles and topography, David M. Ambrose, Roberto Camassa, Jeremy L. Marzuola, Richard M. McLaughlin, Quentin Robinson, Jon Wilkening, OPEN ACCESS Nonsmooth data optimal error estimates by energy arguments for subdiffusion equations with memory, Shantiram Mahata, Rajen Kumar Sinha Linear approximation method for solving split inverse problems and its applications, Guash Haile Taddele, Yuan Li, Aviv Gibali, Poom Kumam, Jing Zhao Applying GMRES to the Helmholtz equation with strong trapping: how does the number of iterations depend on the frequency? P. Marchand, J. Galkowski, E. A. Spence, A. Spence, OPEN ACCESS. High-order conservative energy quadratization schemes for the Klein- Gordon-Schrodinger equation, Xin Li, Luming Zhang Finding geodesics joining given points, Lyle Noakes, Erchuan Zhang, OPEN ACCESS Numerical analysis of a stabilized scheme applied to incompressible elasticity problems with Dirichlet and with mixed boundary conditions, Tomas P. Barrios, Edwin M. Behrens, Rommel Bustinza Unconditionally optimal error estimates of a linearized weak Galerkin finite element method for semilinear parabolic equations, Ying Liu, Zhen Guan, Yufeng Nie An accelerated, high-order accurate direct solver for the Lippmann- Schwinger equation for acoustic scattering in the plane, Abinand Gopal, Per-Gunnar Martinsson ------------------------------------------------------- From: Irena Lasiecka [log in to unmask] Date: August 22, 2022 Subject: Contents, Evolution Equations and Control Theory EECT, 11 (5) Issue nr 5, vol 11 [October] of EECT is available on line. The link is given here : https://www.aimsciences.org/journal/A0000-0000/2022/11/5 For your convenience, the list of the papers is given below. Singular integro-differential equations with applications, Mohammed Al Horani, Angelo Favini and Hiroki Tanabe Exponential stabilization of a linear Korteweg-de Vries equation with input saturation, Ahmat Mahamat Taboye and Mohamed Laabissi [Math Processing Error]-exact controllability of partial differential equations with nonlocal terms, Luisa Malaguti, Stefania Perrotta and Valentina Taddei Robustness of global attractors: Abstract framework and application to dissipative wave equations, Sergey Dashkovskiy and Oleksiy Kapustyan Boundary controllability for a coupled system of degenerate/singular parabolic equations, Brahim Allal, Abdelkarim Hajjaj, Jawad Salhi and Amine Sbai A special form of solution to half-wave equations, Hyungjin Huh Impulsive hemivariational inequality for a class of history-dependent quasistatic frictional contact problems, Furi Guo, Jinrong Wang and Jiangfeng Han Approximate controllability of neutral delay integro-differential inclusion of order [Math Processing Error] with non-instantaneous impulses, Avadhesh Kumar, Ankit Kumar, Ramesh Kumar Vats and Parveen Kumar Controlled singular evolution equations and Pontryagin type maximum principle with applications, Xiao-Li Ding, Ivan Area and Juan J. Nieto Stability estimate for a partial data inverse problem for the convection- diffusion equation, Soumen Senapati and Manmohan Vashisth Convergence of random attractors towards deterministic singleton attractor for 2D and 3D convective Brinkman-Forchheimer equations, Kush Kinra and Manil T. Mohan Two simple criterion to obtain exact controllability and stabilization of a linear family of dispersive PDE's on a periodic domain, Francisco J. Vielma leal and Ademir Pastor Stabilization of port-Hamiltonian systems with discontinuous energy densities, Jochen Schmid Continuous dependence and optimal control of a dynamic elastic- viscoplastic contact problem with non-monotone boundary conditions, Xilu Wang and Xiaoliang Cheng Exponential stabilization of the problem of transmission of wave equation with linear dynamical feedback control, Zhiling Guo and Shugen Chai Local well-posedness of the coupled KdV-KdV systems on, Xin Yang and Bing-Yu Zhang 2021 Impact Factor: 1.169 5 Year Impact Factor: 1.294 ------------------------------------------------------- From: Raimondas Ciegis [log in to unmask] Date: August 16, 2022 Subject: Contents, Mathematical Modelling and Analysis, 27 (3) MATHEMATICAL MODELLING AND ANALYSIS The Baltic Journal on Mathematical Applications, Numerical Analysis and Differential Equations ISSN 1392-6292, ISSN 1648-3510 online, Electronical edition: http://mma.vgtu.lt Raimondas {\v{C}}iegis (Editor) Volume 27, Issue 3, 2022 (p.360-532) CONTENTS Somia Ayad, Ali Laksaci, Sa{\^ a}dia Rahmani and Rachida Rouane, Local Linear Modelling of the Conditional Distribution Function for Functional Ergodic Data Sayed Saber and Ahmad Alalyani, Stability Analysis and Numerical Simulations of {IVGTT} Glucose-Insulin Interaction Models with Two Time Delays Shambel Tadesse Degefa, Oluwole Daniel Makinde and Tamirat Temesgen Dufera, Mathematical Model of Potato Virus Y Disease Spread with Optimal Control Sidi Yassine Idrissi, An Active Contour Model for Texture Image Segmentation Using R\'enyi Divergence Measure Somayeh Fakhri and Sayed Hodjatollah Momeni-Masuleh, An Explicit Spectral Collocation Method for the Drug Release Coronary Stents Raphael Schulz, Uniqueness of Degenerating Solutions to a Diffusion-Precipitation Model for Clogging Porous Media Mudasir Younis, Deepak Singh, Lili Chen and Mohamed Metwali, A Study on the Solutions of Notable Engineering Models Eduardo Gonz\'{a}lez-Olivares, Adolfo Mosquera-Aguilar, Paulo Tintinago-Ruiz and Alejandro Rojas-Palma, Bifurcations in a Leslie-Gower Type Predator-Prey Model with a Rational Non-Monotonic Functional Response ------------------------------------------------------- End of Digest **************************