Subject: NA Digest, V. 23, # 10 NA Digest Sunday, March 26, 2023 Volume 23 : Issue 10 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: Dr. Ronald H.W. Hoppe (1951 - 2023) Editor for arXiv category cs.CE SIAM UKIE Annual Meeting, UK, Apr 2023 IPCO 2023, USA, Jun 2023 Coupled Complex Systems Modelling & Appl, Canada, Aug 2023 Computer Aspects of Numerical Algorithms, Poland, Sep 2023 Tenure-Track Position, Scientific ML, CWI Amsterdam Research Technician Position, Statistical Machine Learning, BCAM Postdoc Position, Computational Mathematics, INESC-ID, Portugal Postdoc Position, Institut Polytechnique de Paris, France Postdoc Position, Modelling and Optimization, Univ College London Postdoc Position, Statistical Machine Learning, BCAM PhD Position, Numerical Modelling, Heriot-Watt Univ, Scotland PhD Positions, Univ of Munster Contents, J Machine Learning for Modeling and Computing, 3 (4) Contents, Mathematical Modelling and Analysis, 28 (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: Jiwen He [log in to unmask] Date: March 23, 2023 Subject: Dr. Ronald H.W. Hoppe (1951 - 2023) We are deeply saddened to inform you of the passing of Dr. Ronald H.W. Hoppe on February 8, 2023, in Bad Bentheim, Germany. Dr. Hoppe was a highly respected and cherished member of our community, and his loss is felt profoundly by all who knew him. Dr. Hoppe's professional journey was remarkable and inspiring, and his contributions to the development and growth of applied and computational mathematics were significant on a global scale. He was born on April 10, 1951, in Nordhorn, Germany, and earned his diploma in mathematics with a secondary subject in physics from the Technische Universitat Berlin in 1975. Dr. Hoppe completed his doctoral thesis in 1979 and obtained his habilitation in 1986. Throughout his academic career, Dr. Hoppe held various academic positions at institutions across the globe, including the University of Linkoping in Sweden and the Courant Institute of Mathematical Sciences in New York, USA. He was appointed to the C3-Professorship at the Mathematical Institute of TU Munich in 1990 and later the C4- Professorship at the Faculty of Mathematics and Natural Sciences at the University of Augsburg. Dr. Hoppe was known for his significant contributions to the field of numerical partial differential equations and optimization, with a focus on multigrid methods, adaptive finite element methods, and optimal control problems. His work had real-life applications, such as microfluidic biochips and electrorheological fluids. He authored several books and over 200 scientific articles during his career and advised over 20 Ph.D. students and numerous postdoctoral fellows. Dr. Hoppe also served on several editorial boards and had an impressive international network of friends and colleagues due to his natural scientific ability, patience, willingness to listen, affability, and love for conversation. Dr. Hoppe joined the Department of Mathematics at the University of Houston in 2002 as a professor and continued to make significant contributions to his field until his passing. He will be remembered as a brilliant mathematician, an exceptional teacher, a supportive colleague, and a dear friend. During this difficult time, our thoughts and deepest condolences go out to Dr. Hoppe's family, friends, and colleagues. ------------------------------------------------------- From: Paolo Bientinesi [log in to unmask] Date: March 23, 2023 Subject: Editor for arXiv category cs.CE The Computer Science section of arXiv (arxiv.org), also known as CoRR (Computing Research Repository), is an open source repository for preprints in the field of computing. Preprints are organized into subject areas, known as Categories. At submission, authors select one or more categories, and for each category a volunteer editor checks whether or not the submission is appropriate for the topics included in the category. Editors do not review the submissions for quality, only for appropriateness; such reviews typically can be done in a couple of minutes or so each. I am currently the gatekeeper for the category cs.CE: Computational Science, Engineering and Finance. CoRR is looking for a volunteer willing to work with me, and eventually succeed me, as Editor for this category. The position provides one with a unique perspective on current research being undertaken in these areas. About 2-4 such papers are submitted each day, so the workload is modest. If you are interested in performing this service to the community please contact me. ------------------------------------------------------- From: Hussam Al Daas [log in to unmask] Date: March 24, 2023 Subject: SIAM UKIE Annual Meeting, UK, Apr 2023 The SIAM UKIE Annual Meeting 2023 will be held at Trinity College Dublin, Ireland on the 21st of April 2023. The meeting will be held in person and virtually. We encourage participants especially students (see next paragraph) to attend in person. Registration is free but required. So please register at https://www.maths.tcd.ie/~ksoodha/siamukie2023/ by Friday 31st of March. Travel support is available for student members of SIAM UKIE. To apply, send your CV to Hussam Al Daas [log in to unmask] The meeting features four invited speakers, graduate students ten-minute talks, and the business meeting of the UKIE section. We hope that students presenting ten-minute talks attend in person. The list of invited speakers is: - Reidun Twarock (University of York) - Julian Hall (University of Edinburgh) - Miguel Bustamante (University College Dublin) - Sergiy Zhuk (IBM Dublin) If you have any questions, please send them to Hussam Al Daas. ------------------------------------------------------- From: Alberto Del Pia [log in to unmask] Date: March 21, 2023 Subject: IPCO 2023, USA, Jun 2023 The 24th Conference on Integer Programming and Combinatorial Optimization (IPCO XXIV) will take place on June 2123, 2023 at the University of Wisconsin-Madison, Madison (WI), USA. The IPCO conference will feature a poster session and a best poster award. The poster session will take place on June 21, 2023. We particularly welcome posters from Ph.D. students and postdocs. Poster abstracts can be submitted at https://forms.gle/vKkv4sq5PaSh1MtZ8. The abstract format is: a PDF file, one letter-size page maximum, one-inch margins, 11-point font, single-space. The deadline for poster abstract submissions is April 1, 2023. The local committee will select poster presenters, subject to the number of available poster slots. A committee will evaluate posters during the poster session and select the best poster. Travel support for a limited number of students will be provided by the Air Force Office of Scientific Research (AFOSR) and the Office of Naval Research (ONR). The committee will communicate notifications of acceptance by April 15, 2023. Poster presenters are required to register for the conference. Please contact [log in to unmask] if you have any questions. ------------------------------------------------------- From: Sundeep Singh [log in to unmask] Date: March 23, 2023 Subject: Coupled Complex Systems Modelling & Appl, Canada, Aug 2023 We invite you to contribute to this international multidisciplinary event covering diverse areas of science and engineering unified by the crucial role of coupled phenomena, physical fields, and effects, as well as by multiple-scale interactions at the local and/or entire system levels. The models featured here will include a comprehensive range of areas from the recent progress in better understanding many physical, engineering, biological, and social systems. The symposium welcomes theoretical, computational, and experimental advances in this pivotal field. Further details are at http://ammcs.wlu.ca/2023/special-sessions/ccsms/ ------------------------------------------------------- From: Przemyslaw Stpiczynski [log in to unmask] Date: March 22, 2023 Subject: Computer Aspects of Numerical Algorithms, Poland, Sep 2023 16th Workshop on Computer Aspects of Numerical Algorithms (CANA'23) Poland, Warsaw, 17 - 20 September, 2023 (https://fedcsis.org/sessions/css/cana) in conjunction with Federated Conference of Computer Science and Information Systems https://fedcsis.org/ Numerical algorithms are widely used by scientists engaged in various areas. There is a special need of highly efficient and easy-to-use scalable tools for solving large scale problems. The workshop is devoted to numerical algorithms with the particular attention to the latest scientific trends in this area and to problems related to implementation of libraries of efficient numerical algorithms. Topics (including but not limited to): Parallel numerical algorithms; Novel data formats for dense and sparse matrices; Libraries for numerical computations; Numerical algorithms testing and benchmarking; Analysis of rounding errors of numerical algorithms; Languages, tools and environments for programming numerical algorithms; Numerical algorithms on GPUs; Paradigms of programming numerical algorithms; Contemporary computer architectures; Heterogeneous numerical algorithms; Applications of numerical algorithms in science and technology. Contact: [log in to unmask] ------------------------------------------------------- From: Benjamin Sanderse [log in to unmask] Date: March 24, 2023 Subject: Tenure-Track Position, Scientific ML, CWI Amsterdam The Scientific Computing group at CWI has a vacancy for a tenure track position in Scientific Machine Learning and Uncertainty Quantification. This is a really exciting research position, where you have several years and lots of freedom to develop your own research line within our group. CWI in Amsterdam is a fantastic place to work, breathing an atmosphere of scientific creativity and top-notch research, with close connection to applications, and right in the heart of the Amsterdam Science Park. The full vacancy description is available online at https://www.cwi.nl/en/jobs/vacancies/989225/ . The vacancy fits within our broader efforts in Scientific Machine Learning, which includes the organisation of a Semester Programme in fall this year. The Semester Programme website is already online at https://www.cwi.nl/en/events/cwi-research-semester-programs/research- programmes-in-2023/research-semester-programme-on-scientific- machine-learning/, with a more official announcement following in the coming weeks. ------------------------------------------------------- From: Idoia Hernandez [log in to unmask] Date: March 22, 2023 Subject: Research Technician Position, Statistical Machine Learning, BCAM The project's goal is to research and develop novel statistical machine learning and inference methods for predictive and prescriptive tasks that overcome the challenges posed by applied settings (e.g., non-stationary and missing not-at-random phenomena), combining probabilistic models, deep learning, stochastic processes and approximate inference. The candidate will work under the supervision of Ikerbasque Research Fellow Inigo Urteaga, and will benefit from close collaboration with members of the Machine Learning group at BCAM and external collaborators at Columbia University. The core of the research is on the design and implementation of novel machine learning solutions within the following research challenges: 1. How to disentangle data missingness patterns from time-varying signals of interest via statistical machine learning models. 2. How to devise data-driven, automated sequential decision making algorithms in dynamic and multi-scale prescriptive environments. The candidate will investigate both the theoretical and practical aspects of statistical machine learning, with potential assessment of how the devised methods perform in healthcare applications. Contract: 1 year Deadline: 14 April 2023 Applications at: http://www.bcamath.org/en/research/job/ic2023-03-research-technician-in-statistical-machine-learning Requirements: Master's degree in Computer Science, Statistics (or a related field), or be close to its completion. Applicants must have an excellent academic record. Skills: Background and experience in machine learning and statistics. A track record in quality research, as evidenced by publications in scientific journals and conferences of the field. Self-motivated, independent researcher with scientific curiosity and honesty. Demonstrated ability to work independently and as part of a collaborative research team. Good interpersonal skills, with ability to present and publish research outcomes in spoken and written form. Fluency in spoken and written English. The preferred candidate will have: Familiarity with statistical modeling, machine learning and approximate inference. Expertise with generative modeling, stochastic processes and approximate inference. Familiarity with reinforcement learning concepts, if interested in working on the design of sequential decision algorithms. Solid programming skills in Python, experience with PyTorch/JAX would be ideal. ------------------------------------------------------- From: Juan A. Acebron [log in to unmask] Date: March 22, 2023 Subject: Postdoc Position, Computational Mathematics, INESC-ID, Portugal The research center INESC-ID in Lisbon invites interested candidates to apply for a postdoctoral position focusing on the development of new Monte Carlo algorithms for computing efficiently matrix functions for current and future high performance supercomputers. This position is funded by the Portuguese Science Foundation FCT, and the successful candidate will be part of an integrated team led by Prof. Jose Monteiro and Prof. Juan A. Acebron. Candidates should have a Ph.D. in Applied Mathematics, Physics, Computer Science or a related field. They should possess a solid knowledge in applied mathematics, numerical methods, good programming skills, and a proven publication record. Successful candidates will be able to work well within small cross disciplinary teams, including working with researchers using both theoretical and computational mathematics. Experience with common scientific computing methods, computational tools, mathematical software, and parallel computing is highly desired. The successful Post Doctoral Fellow will interact closely with national and international collaborators and will have the opportunity to publish in high impact journals, present their work at international conferences and gain access to major supercomputing facilities through existing networks of collaborative partners. This is a one-year appointment, eventually renewable up until 3 years. There are no teaching duties associated with this position. How to apply: Qualified candidates should follow the instructions described in https://euraxess.ec.europa.eu/jobs/85721 The deadline is on April 7 2023 For further information of the project see the website http://ura.inesc-id.pt ------------------------------------------------------- From: Mahdi Moeini [log in to unmask] Date: March 21, 2023 Subject: Postdoc Position, Institut Polytechnique de Paris, France We are looking for an outstanding young researcher with a PhD in Mathematical Optimization or a related field, and interests in Artificial Intelligence and Data Science. With a focus on confluence of Data Science and Artificial Intelligence, the post-doc is expected to do research on modern optimization algorithms for solving the subset selection problem and its variants. The research will be supervised by professors "Walid Ben Ameur" and "Mahdi Moeini" at the Institut Polytechnique de Paris (Telecom SudParis/SAMOVAR). To be eligible, applicants must have defended - or be due to defend - their PhD between 1 September 2020 and 31 August 2023. The postdoctoral fellowship will be provided for a 12-month period, and can be renewed for another 12 months. Fluency in English is a must, and having good programming skills is required. Familiarity with Julia and a standard optimization solver, e.g., Gurobi or IBM Cplex, is considered as a bonus point. The application deadline for the position is April 9th, 2023. Applicants should apply by sending (as a single pdf file): a cover letter, a CV (including the list of publications), and at least two recommendation letters to: [log in to unmask] and [log in to unmask] . ------------------------------------------------------- From: Eric Fraga [log in to unmask] Date: March 26, 2023 Subject: Postdoc Position, Modelling and Optimization, Univ College London Applications are invited for a research associate position in the Department of Chemical Engineering at UCL. The project aims to advance fundamental understanding of the unusual thermodynamic and kinetic phenomena underpinning the dissolution, aggregation, and denaturation processes of particles generated during nuclear fuel debris retrieval under various environments. A multidisciplinary approach will be followed whereby experimental studies will be combined with simulations and modelling under uncertainty to predict the debris particle behaviour. The post is funded by an EPSRC UK-Japan Civil Nuclear Research grant and it is in collaboration with Prof Giota Angeli in the Department and with Prof Takehiko Tsukahara of the Tokyo Institute of Technology and Waseda in Japan. The successful candidate will be spending some time in the collaborator's lab. The main role of the post holder will be the development of mathematical models for the thermodynamic and kinetic phenomena, including both detailed CFD models and surrogate models. The post holder will also direct some of the experiments using model based experiment design techniques to ensure the uncertainty estimates are suitable for use in prediction. This person will also design and implement a simulation software system based on surrogate models with uncertainty quantification. The post holder will be required to interact closely with the experimental researcher and with the collaborators at the Tokyo Institute of Technology who will be studying particle aggregation and particle characterization. http://www.jobs.ac.uk/job/CYG494/research-fellow-in-modelling-and-optimization-for-elucidation-of-nano-effects ------------------------------------------------------- From: Idoia Hernandez [log in to unmask] Date: March 22, 2023 Subject: Postdoc Position, Statistical Machine Learning, BCAM The project's goal is to research and develop novel statistical machine learning and inference methods for predictive and prescriptive tasks that overcome the challenges posed by applied settings (e.g., non-stationary and missing not-at-random phenomena), combining probabilistic models, deep learning, stochastic processes and approximate inference. The postdoctoral candidate will have the opportunity to pursue their own ideas, and to lead the design and implementation of novel machine learning solutions within the following research challenges: 1. How to disentangle data missingness patterns from time-varying signals of interest via statistical machine learning models. 2. How to devise data-driven, automated sequential decision making algorithms in dynamic and multi-scale prescriptive environments. The candidate will investigate both the theoretical and practical aspects of statistical machine learning, with potential assessment of how the devised methods perform in healthcare applications and online digital services. The candidate will work under the supervision of Ikerbasque Research Fellow Inigo Urteaga, and will benefit from close collaboration with members of the Machine Learning group at BCAM and external collaborators at Columbia University. Contract: 1 +1 year Deadline: 14 April 2023 Applications at: http://www.bcamath.org/en/research/job/ic2023-03-postdoctoral-fellow-in-statistical-machine-learning Requirements: PhD in Computer Science, Statistics (or related field). Applicants must have completed their PhD before the contract starts. Skills: Background and experience in machine learning and statistics. A track record in quality research, as evidenced by publications in scientific journals and conferences of the field. Self-motivated, independent researcher with scientific curiosity and honesty. Demonstrated ability to work independently and as part of a collaborative research team. Good interpersonal skills, with ability to present and publish research outcomes in spoken and written form. Fluency in spoken and written English. The preferred candidate will have: Strong background in statistical modeling and machine learning. Expertise with generative modeling, stochastic processes and approximate inference. Familiarity with reinforcement learning concepts, if interested in working on the design of sequential decision algorithms. Solid programming skills in Python, experience with PyTorch/JAX would be ideal. ------------------------------------------------------- From: Omar Laghrouche [log in to unmask] Date: March 21, 2023 Subject: PhD Position, Numerical Modelling, Heriot-Watt Univ, Scotland We aim to analyse data from wind turbine vibrations and investigate the seismic wave propagation using numerical modelling. A natural component of this study is the understanding of how best to represent the wind turbine as a seismic source, both onshore and offshore. To aid these investigations, we will also consider the tower and blade response to wind, based on previous finite element modelling. The study will include the coupling to realistic ground models, response to wind speed and direction, and will tie the results back to a database of observations collected from seismic sensors monitoring a real wind farm in the UK. This project will contribute to a better understanding of wind turbines as a source of vibration, the seismic waves that propagate, the extent to which waves decay with distance, and hence the critical radius of influence around sensitive installations. Deadline for applications: 17 April 2023 For details see: https://www.findaphd.com/search/ProjectDetails.aspx?PJID=156673 ------------------------------------------------------- From: Kristina Wensing [log in to unmask] Date: March 23, 2023 Subject: PhD Positions, Univ of Munster Be part of Mathematics Munster! Dive into your own research project and benefit from the excellent research environment at the University of Munster, Germany. Doctoral positions, as well as Ada Lovelace Fellowships, at the Cluster of Excellence Mathematics Munster are open for application. Apply now: Doctoral Positions. Join the Mathematics Munster Graduate School and profit from the active and demanding research environment for talented and motivated doctoral researchers aiming to become the next generation of leading scientists. Salary level E13 TV-L, 75% for three years. In all research areas related to the Cluster of Excellence Mathematics Munster. The expected starting date is no later than October 2023. Apply until 1 May 2023 Apply now: Ada Lovelace Fellowships. With the Ada Lovelace Fellowship Mathematics Munster supports underrepresented groups and aims to increase gender equality in mathematics. Salary level E13 TV-L, 25% add-on (salary raise) for up to three years Increasing gender equality within the mathematical sciences Fellowships must supplement a doctoral positions and applications may be combined with the application for a 75% PhD position. Apply until 1 May 2023. Find more information on positions, requirements and the online application form at: https://www.uni-muenster.de/MathematicsMuenster/careers/apply ------------------------------------------------------- From: Dongbin Xiu [log in to unmask] Date: March 21, 2023 Subject: Contents, J Machine Learning for Modeling and Computing, 3 (4) Journal of Machine Learning for Modeling and Computing (JMLMC) Web: www.j-mlmc.com ISSN Print: 2689-3967 ISSN Online: 2689-3975 Volume 3, 2022, Issue 4 Table of Content Autoencoder neural network for chemically reacting systems, by Pei Zhang, Ramanan Sankaran A spatiotemporal-aware weighting scheme for improving climate model ensemble predictions, by Ming Fan, Dan Lu, Deeksha Rastogi, Eric M. Pierce Geothemalcloud machine learning for geothermal resource exploration, by Maruti K. Mudunuru, Velimir V. Vesselinov, Bulbul Ahmmed Gradient-enchanced deep neural network approxiations, by Xiaodong Feng, Li Zeng An application of machine learning to college admission: the summer melt problem, by Treena Basu, Ron Buckmire, Osei Tweneboah ------------------------------------------------------- From: Raimondas Ciegis [log in to unmask] Date: March 23, 2023 Subject: Contents, Mathematical Modelling and Analysis, 28 (2) 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 Ciegis (Editor) Volume 28, Issue 2, 2023 (p.180-359) CONTENTS Ignas Dapsys and Raimondas Ciegis, Numerical Simulation of Fractional Power Diffusion Biosensors Fatima Adilova, Uygun Jamilov and Andrejs Reinfelds, On Discrete-Time Models of Network Worm Propagation Generated by Quadratic Operators Hanna Britt Soots, Kaido L\"{a}tt and Arvet Pedas, Collocation Based Approximations for a Class of Fractional Boundary Value Problems Tahar Bechouat, A Collocation Method for Fredholm Integral Equations of the First Kind via Iterative Regularization Scheme Kamran Suhaib, Asim Ilyas and Salman A. Malik, On the Inverse Problems for a Family of Integro-Differential Equations Ravi P. Agarwal, Ahmad M. Alghamdi, Sadek Gala and Maria Alessandra Ragusa, On the Regularity Criterion on One Velocity Component for the Micropolar Fluid Equations Atsumasa Kondo, Strong Convergence to Common Fixed Points Using Ishikawa and Hybrid Methods for Mean-Demiclosed Mappings in Hilbert Spaces Arturas Stikonas and Erdogan Sen, Asymptotic Analysis of Sturm--Liouville Problem with Dirichlet and Nonlocal Two-Point Boundary Conditions Miaomiao Yang, Wentao Ma and Yongbin Ge, Barycentric Rational Interpolation Method of the Helmholtz Equation with Irregular Domain Virginija Garbaliauskiene, Renata Macaitiene and Darius Siauciunas, On the Functional Independence of the Riemann Zeta-Function ------------------------------------------------------- End of Digest **************************