Subject: NA Digest, V. 24, # 2 NA Digest Wednesday, January 31, 2024 Volume 24 : Issue 2 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: Karl Strehmel (1934 - 2023) New Book, IAHR Water Monograph Series Fast and Stable Roots of Polynomials, ONLINE, Feb 2024 Functional Data Analysis, France, Mar 2024 Industrial SciML, USA Mar 2024 Midwest Numerical Analysis Day, USA, Apr 2024 Numerical Methods for Random Differential Models, Switzerland, Jun 2024 Deadline Extended, Symposium of Experimental Algorithms, Austria, Jul 2024 Gene Golub SIAM Summer School, Ecuador, Jul 2024 AIMMS-MOPTA Modeling Competition, USA, Aug 2024 Open-Rank Teaching Professor Position, Lehigh Univ, USA Tenure-Track Position, Numerical Analysis, Pisa Univ, Italy Assistant Professor Position, Scientific Computing, Ghent Univ, Belgium Lecturer Position, Mathematics, Univ of Auckland, New Zealand Visiting Professorship Positions, Mathematics, Univ Wuerzburg, Germany Postdoc Position, Computational Mathematics, Postdoc Position, Data Science, Univ of North Carolina at Chapel Hill, USA Postdoc Position, Fire Weather Prediction, Texas Tech Univ, USA Postdoc Position. Mathematics, Univ of Houston, USA Postdoc Positions, Computational/Natural Sciences, Univ of Oslo, Norway PhD Position, Low Rank Approx for Tensor Modeling, Inria Sophia Antipolis PhD Position, Mathematics, Trinity College Dublin, Ireland PhD Position, Numerical Analysis, Univ College London, UK PhD Positions, Mathematics, Khalifa Univ of Science and Technology, UAE PhD Positions, Neural Tensor Train Networks, KU Leuven/UCLouvain REU Positions, Big Data with HPC, ONLINE, Jun-Aug 2024 Contents, EECT Evolution Equations and Control Theory, 13 (1) Contents, J Computational Mathematics, 42 (1) Subscribe, unsubscribe, change address, or for na-digest archives: http://www.netlib.org/na-digest-html/faq.html Submissions for NA Digest: https://nadigest.icl.utk.edu/ ------------------------------------------------------- From: Helmut Podhaisky [log in to unmask] Date: January 22, 2024 Subject: Karl Strehmel (1934 - 2023) On 12 December 2023, our highly esteemed colleague Karl Strehmel, university professor and founder of the NUMDIFF conference series, passed away after a short, serious illness. Karl Strehmel was a great mathematician and scientist who, even in times of German and European division, worked with great commitment and skill to promote international scientific cooperation that transcended borders. In the early 1980s, he founded the "Numerical Treatment of Differential Equations" seminars, which have since brought together many leading international experts in this field at the NUMDIFF conferences at Martin Luther University. We will commemorate him at NUMDIFF-17 in September 2024. We remember with gratitude an academic teacher who opened up new horizons and inspired enthusiasm for his field. Rudiger Weiner, Martin Arnold, and Helmut Podhaisky ------------------------------------------------------- From: Denys Dutykh [log in to unmask] Date: January 31, 2024 Subject: New Book, IAHR Water Monograph Series Variational approach to water wave modelling" by Didier Clamond, Denys Dutykh, and Dimitrios Mitsotakis. This book has been published in open access, and the full text is freely accessible for everyone at this URL address: https://www.iahr.org/index/detail/659 This monograph offers a comprehensive exploration of water wave dynamics through the innovative lens of relaxed variational principles. The authors present a nuanced approach to modelling both nonlinear dispersive and non-dispersive waves, advancing our understanding of fluid dynamics. A pivotal aspect of this work is the application of the relaxed variational principle, providing a robust mathematical foundation for the study of water waves. Additionally, the monograph delves into sophisticated numerical techniques, including finite volume and pseudo- spectral schemes, which are instrumental in simulating these complex wave phenomena. This text is an invaluable resource for researchers and practitioners in fluid mechanics, offering new perspectives and methodologies for tackling the challenges of water wave modelling. Published: January 2024 ------------------------------------------------------- From: Bart De Moor [log in to unmask] Date: January 30, 2024 Subject: Fast and Stable Roots of Polynomials, ONLINE, Feb 2024 Raf Vandebril, KU Leuven, Numerical Analysis and Applied Mathematics (NUMA), Fast and Stable Roots of Polynomials via Companion Matrices Tuesday February 6, 2024, 5pm We present a fast and stable algorithm for computing roots of polynomials. The roots are found by computing the eigenvalues of the associated companion matrix. A companion matrix is an upper Hessenberg matrix that is of unitary-plus-rank-one form, that is, it is the sum of a unitary matrix and a rank-one matrix. When running Francis's implicitly-shifted QR algorithm this property is preserved, and exactly that is exploited here. To compactly store the matrix we will show that only 3n-1 rotators are required, so the storage space is O(n). In fact, these rotators only represent the unitary part, but we will show that we can retrieve the rank-one part from the unitary part with a trick. It is thus not necessary to store the rank-one part explicitly. Francis's algorithm tuned for working on this representation requires only O(n) flops per iteration and thus O(n^2) flops in total. The algorithm is normwise backward stable and is shown to be about as accurate as the (slow) Francis QR algorithm applied to the companion matrix without exploiting the structure. It is also faster than other O(n^2) methods that have been proposed, and its accuracy is comparable or better. The paper accompanying this research received SIAM's outstanding paper prize in 2017. https://www.siam.org/prizes-recognition/major-prizes-lectures/detail/siam-outstanding-paper-prizes The presentation will be streamed and can be followed by using this link: https://eu.bbcollab.com/guest/99583fe6bbe145bfb9f346f35f32450f ------------------------------------------------------- From: Hemant Tyagi [log in to unmask] Date: January 24, 2024 Subject: Functional Data Analysis, France, Mar 2024 We are organizing at Inria Lille a two-day workshop on Functional Data Analysis, from 14-15th March 2024. It will feature a combination of long talks (1 hour each, by invited speakers), and contributed talks (15-20 mins each, by PhD students/post-docs/young researchers). We are currently accepting submissions for contributed talks (title + abstract in a pdf file), the submission deadline is currently set to 15th Feb (might be extended). Registration for the workshop is also possible till 15th Feb through the workshop webpage (this is free but mandatory for participation). All information about the workshop and about the submission procedure is available at https://fda-lille.sciencesconf.org/ Invited speakers: Michelle Carey (University College of Dublin) Aurore Delaigle (University of Melbourne) Frederic Ferraty (University of Toulouse) Valentin Patilea (ENSAI Rennes) Gilbert Saporta (CNAM Paris) Han Lin Shang (Macquarie University) ------------------------------------------------------- From: Marta D'Elia [log in to unmask] Date: January 24, 2024 Subject: Industrial SciML, USA Mar 2024 It is our pleasure to announce the upcoming workshop on "The Industrialization of Scientific Machine Learning" that will be held at ICERM during the weekend of March 23-24, 2024. https://icerm.brown.edu/events/htw-24-sciml/ This workshop focuses on the most recent advances in the field of applied Scientific Machine Learning (SciML) by bringing together the world-leading players in its industrialization, those at the forefront of advancing R&D armed with the critical experience necessary for building and scaling SciML in the wild. Applications to attend this workshop in person are now open. To make this workshop a success, we encourage a very broad participation, from academia to industry, at all levels. We particularly encourage applications from different underrepresented groups. ------------------------------------------------------- From: Weimin Han [log in to unmask] Date: January 30, 2024 Subject: Midwest Numerical Analysis Day, USA, Apr 2024 The Midwest Numerical Analysis Day is a forum for researchers at all stages of their careers, mainly from the Midwest, to exchange ideas in numerical analysis, scientific computing and related application areas. The Midwest Numerical Analysis Day 2024 conference will be held on April 13-14, 2024 at the University of Iowa. The conference is supported by an NSF grant. The conference website is at https://homepage.divms.uiowa.edu/~whan/mwnaday2024.html If you are interested in participating in the conference, please fill out the registration form by Friday, March 1, 2024. There is no registration fee, and you may request to have lodging support. ------------------------------------------------------- From: Fabio Zoccolan [log in to unmask] Date: January 30, 2024 Subject: Numerical Methods for Random Differential Models, Switzerland, Jun 2024 We have some important updates regarding the summer school "Numerical Methods for Random Differential Models (NUMRAD24)", that will be held at EPFL in the week of 11th-14th of June 2024. The list of the speakers is now complete. Check it out at https://numrad.epfl.ch/summer-school/ Furthermore, a limited number of scholarships are now available. These will cover the cost of accommodation for 5 nights in Lausanne. In order to apply for financial support, you must register before 1st of March explicitly asking for it. All the people that already subscribed to NUMRAD24 are automatically considered as applying for these scholarships. Participants who have been awarded a scholarship will be notified before the end of March. For further information and registration, please visit our webpage: https://numrad.epfl.ch/ (registration will close after the 31st of March 2024). Should you have any questions, please contact us at [log in to unmask] ------------------------------------------------------- From: Leo Liberti [log in to unmask] Date: January 22, 2024 Subject: Deadline Extended, Symposium of Experimental Algorithms, Austria, Jul 2024 22nd Symposium on Experimental Algorithms (SEA24) Location: Vienna, Austria Dates: July 23-26, 2024 Web site: https://sea2024.univie.ac.at/ Submission: https://easychair.org/conferences/?conf=sea24 Important dates: extended paper submission deadline: Feb 10 2024 AoE extended* notification of acceptance: Mar 27 2024 We are announcing a deadline extension for SEA24. The full paper must be submitted by February 10, 2024 (AoE) The authors will be notified by March 27, 2024 Final version due: April 28, 2024 Sadly one of our invited speakers, Nick Higham, passed away on Jan 20th. Contributions solicited cover a variety of topics including but not limited to: Algorithm Engineering; Algorithmic Libraries and Software Repositories; Algorithmic Cryptography and Security; Algorithmic Natural Language Processing; Algorithmics for Databases; Analysis of Algorithms; Approximation Algorithms; Bioinformatics and Computational Biology; Branch-and-Bound Algorithms; Combinatorial Problems and Structures; Communication Networks; Computational Geometry; Computational Optimization; Data Structures; Distributed and Parallel Algorithms; Graph Algorithms; Heuristic Algorithms; Integer Programming; Logistics and Operations Management; Machine Learning and Data Mining; Mathematical Programming; Multiple Criteria Decision Making; Network Analysis; Online Problems; Randomized Algorithms; Semidefinite Programming; Streaming and External Memory Algorithms. ------------------------------------------------------- From: Matthias Chung [log in to unmask] Date: January 24, 2024 Subject: Gene Golub SIAM Summer School, Ecuador, Jul 2024 We are pleased to announce the 2024 Gene Golub SIAM Summer School on "Iterative and Randomized Methods for Large-Scale Inverse Problems" The school will take place from July 22-August 2, 2024 at the Escuela Politecnica Nacional in Quito, Ecuador. The application deadline is March 1, 2024. Big data sets and increasing complexities of models pose significant computational obstacles for many applications. Current cutting-edge inference methods are reaching their limits and it is crucial to develop advanced tools to extract meaningful insights from data. The summer school aims to equip students with a comprehensive understanding of the mathematical, computational, and statistical tools necessary for analyzing large-scale data sets and solving inverse problems. By introducing state-of-the-art techniques in randomized Numerical Linear Algebra (RandNLA) and exploring the connection between RandNLA and inverse problems, students will develop a solid foundation for further study and perform research in the computational sciences. Attending the summer school provides a unique opportunity to discover the vast opportunities that come with expertise in computational sciences, while also gaining hands-on experience with advanced techniques. Located at an elevation of 2,850 meters in the Andean foothills, Quito is the capital city of Ecuador and is famous for its well-preserved historical center. It is the second-highest official capital city in the world and offers breathtaking views along with a rich pre-Columbian and colonial history. Details on the summer school and the application form can be at https://g2s32024.github.io/ ------------------------------------------------------- From: Xiu Yang [log in to unmask] Date: January 24, 2024 Subject: AIMMS-MOPTA Modeling Competition, USA, Aug 2024 The Department of Industrial and Systems Engineering (ISE) at Lehigh University is thrilled to announce the opening of the 16th AIMMS-MOPTA Optimization Modeling Competition. The competition is organized by the conference organizers of MOPTA and AIMMS. The first phase's submission deadline is May 1, 2024, 23:59 Eastern Time. Finalists are expected to attend and present their results at the 2024 MOPTA Conference to be held on August 14-16, 2024, at Lehigh University, Bethlehem, PA, USA. The goal of the competition this year is to analyze renewable energy grids. The problem description is posted on the competition website: coral.ise.lehigh.edu/~mopta/competition Information on eligibility, registration, submission, and competition format are posted on the competition website. Teams of at most three students can participate and should list a faculty advisor. The team leader must be a graduate student, though the other team members can be advanced undergraduate students. Each team member must be registered as a full- time student at a recognized educational institution during the Spring term of the 2023-2024 Academic Year. Students with any background are eligible. Collaboration between students from different departments is strongly encouraged. Each finalist team will receive free registration for the conference for up to two team members. As the conference is international, so is the competition. Teams from all over the world can participate, as long as at least one team member can come to the conference, should the team make it to the final round. The official language of the competition is English. For more details about the competition, visit coral.ise.lehigh.edu/~mopta/competition ------------------------------------------------------- From: Luis Nunes Vicente [log in to unmask] Date: January 22, 2024 Subject: Open-Rank Teaching Professor Position, Lehigh Univ, USA The Department of Industrial and Systems Engineering (ISE) at Lehigh University invites applications at all ranks for a non-tenure-track and non-tenured teaching professor position. The successful candidate must possess a Ph.D. or equivalent in industrial engineering or a related field by date of hire. The teaching duties will consist of three undergraduate- and/or graduate-level courses each semester. While the position is not tenurable, a candidate hired as a Teaching Assistant Professor may become eligible for promotion to the rank of Teaching Associate Professor upon development of an excellent record of teaching and service. Similarly, a candidate hired as a Teaching Associate Professor may develop a record worthy of promotion to the rank of Teaching Full Professor. Applicants should apply here: https://academicjobsonline.org/ajo/jobs/27033 Inquiries may be addressed to Professor Frank E. Curtis, Search Committee Chair, [log in to unmask] Review of applications will begin February 1, 2024 and will continue until the position is filled, which is expected to occur by a start date of July 1, 2024. An application should include a cover letter; a curriculum vitae; a teaching statement; a statement on diversity, equity, and inclusion (DEI); and names and addresses of at least three references. Lehigh ISE currently has 20 full-time faculty members, 160 undergraduate students, and 80 graduate students, 35 of whom are Ph.D. students. The ISE faculty maintains an outstanding international reputation in a variety of areas, including data science and machine learning; mathematical optimization; stochastic models and optimization; applied operations research; quantum computing optimization; and uncertainty quantification and complex systems. Lehigh University is located in Bethlehem, PA, a vibrant and historic area. Over 800K people live in the Lehigh Valley, which is in close proximity to New York City and Philadelphia. ------------------------------------------------------- From: Federico Poloni [log in to unmask] Date: January 24, 2024 Subject: Tenure-Track Position, Numerical Analysis, Pisa Univ, Italy A call for an RTT (Tenure-Track Researcher) position in Numerical Analysis (MAT/08) is open at the department of Computer Science of the University of Pisa. The successful candidate will join the oldest computer science department in Italy, and become part of an active research group in numerical analysis and numerical linear algebra ( https://numpi.dm.unipi.it/people/ ) , which includes researchers in various departments and institutions inside the Pisa university system. Deadline for applications: 23 February 2024, 1:00 pm. Full regulations and instructions on how to apply are available at https://bandi.unipi.it/public/Bandi/Detail/b34b7404-9d5a-4180-81e2-bd461bfe60a2 . ------------------------------------------------------- From: Marnix Van Daele [log in to unmask] Date: January 29, 2024 Subject: Assistant Professor Position, Scientific Computing, Ghent Univ, Belgium The Department of Applied Mathematics, Computer Science and Statistics of Ghent University is opening a position Assistant professor tenure track in Scientific computing. The candidate's research may be interdisciplinary in orientation but mathematical in nature (with an emphasis on applied mathematics), and involves the analysis of advanced computational techniques to answer complex scientific questions. The candidate's expertise can match or be complementary to the expertise already present in the department. Requirements to apply: candidates should hold a thesis-based doctorate and have at least two years of postdoctoral experience on 1 September 2024. The successful candidate is also expected, within a period of five years after the appointment, to learn Dutch and to provide teaching in Dutch. Our university offers support to reach this goal. The mandate is awarded for a term of five years. Upon favourable evaluation at the end of this period, the position will be converted into a permanent position of associate professor (in Dutch: "hoofddocent"). Ghent University conducts an equal opportunities policy and encourages everyone to apply. Ghent University also strives for a gender balance. Female applications are thus especially welcomed. To apply (until February 25 2024): https://jobs.ugent.be/job/Ghent-Professor-in-Scientific-Computing-%28BOF%29-9000/786940102/ ------------------------------------------------------- From: Marie Graff [log in to unmask] Date: January 22, 2024 Subject: Lecturer Position, Mathematics, Univ of Auckland, New Zealand o te whare Pktaiao/The Faculty of Science at the University of Auckland is the leading science faculty in New Zealand and one of the largest in Australasia. It undertakes world-class research across the physical, biological, and computational sciences. More than 8,000 students' study in our 10 schools and departments, learning from internationally renowned lecturers. We strive to provide a School that reflects the demographics of our student base and Aotearoa. Our staff and students can connect with our: Rainbow and Women in Science networks, Parenting support, our Waipapa Marae and our flagship Tuakana Maori and Pacific support programme. Job description: We are looking for a Lecturer who will undertake high quality teaching/lecturing and high-quality research in mathematics, in any area of Mathematics or Applied Mathematics. This lectureship is, in part, in support of a new joint degree programme with North Eastern University in China. The successful candidate is expected to teach into this programme, including hybrid delivery from Auckland and in person in China. You will be expected to teach/lecture at both undergraduate level (including teaching courses to non-mathematics majors) and at postgraduate level. You must be able to course coordinate, develop course materials and design new courses, as well as, teach as part of a team. The successful applicant will be expected to establish their own research programme in mathematics or applied mathematics, supervise postgraduate/PhD research students, and be a collegial, constructive member of the mathematics department. Finally, the applicant will also be required to perform administrative service roles for the Department of Mathematics and for the Faculty of Science. The position is available with a start date from 1st July 2024. This is a full-time (40 hours per week), permanent position. For more detailed information, please check: https://smrtr.io/hKvyt Contact: Prof Bernd Krauskopf (HoD), [log in to unmask] ------------------------------------------------------- From: Alfio Borzi [log in to unmask] Date: January 24, 2024 Subject: Visiting Professorship Positions, Mathematics, Univ Wuerzburg, Germany Call for applications to one term Giovanni Prodi Chair Professorships in Mathematics at the University of Wurzburg in Germany: The Institute for Mathematics at the University of Wuerzburg offers a one term Giovanni Prodi chair professorship for each of the periods: Oct. 14, 2024 - Feb. 7, 2025, Apr. 23 - Jul. 25, 2025. These professorships should enrich our academic life in Wurzburg. Prodi professors are expected to interact both with faculty and students leading to international contacts and collaborations. Please see the following link for further information and for application: https://www.mathematik.uni-wuerzburg.de/en/research/giovanni-prodi-chair/application/ The application is open until February 29, 2024. Applications from all fields of mathematics are welcome with the applicant at the level of an associate or full professor. Only persons coming from outside Germany are eligible. Female applicants are especially encouraged to apply. The professorship carries a teaching load of 4 hours per week plus the obligation to run a seminar or exercise group for 2 hours per week. The application consists of two steps: 1) filling the application form https://www.mathematik.uni-wuerzburg.de/en/forschung/giovanni-prodi-lehrstuhl/bewerbung/giovanni-prodi-application-form/ 2) sending your CV (including publications and teaching experience) as a single pdf to [log in to unmask] If you have any questions, please feel free to send an e-mail to [log in to unmask] or contact any member of our faculty. ------------------------------------------------------- From: Michael Multerer [log in to unmask] Date: January 22, 2024 Subject: Postdoc Position, Computational Mathematics, A PostDoc position in Computational Mathematics (2 years) is available at the Euler institute of the Universita della Svizzera italiana. Applicants are expected to have a strong background in harmonic analysis, including wavelets and reproducing kernel Banach/Hilbert spaces, and at least basic programming skills in C/C++ or Matlab. The position is funded by the SNSF Starting grant "Multiresolution methods for unstructured data". More information on the project is available on the SNSF webpage (https://data.snf.ch/grants/grant/211684). Interested candidates should contact me directly by email ([log in to unmask]) (Please provide a motivation and your CV). The email subject should be the smallest prime number with ten digits. ------------------------------------------------------- From: Can Chen [log in to unmask] Date: January 30, 2024 Subject: Postdoc Position, Data Science, Univ of North Carolina at Chapel Hill, USA Individuals who are interested are encouraged to apply at https://unc.peopleadmin.com/postings/273420 . ------------------------------------------------------- From: Brian Ancell [log in to unmask] Date: January 29, 2024 Subject: Postdoc Position, Fire Weather Prediction, Texas Tech Univ, USA The Atmospheric Sciences Group in the Department of Geosciences at Texas Tech University in Lubbock, TX, seeks a Postdoctoral Research Associate to work in the area of fire weather prediction. The successful candidate will be part of the Modeling and Predictability Group supervised by Dr. Brian Ancell and will serve a two-year appointment working on a project funded by the National Oceanic and Atmospheric Administration (NOAA). The primary goal of the position will be to contribute to the development of a novel, probabilistic, machine learning- based fire weather index, the significant fire parameter, toward operational use at the National Weather Service (NWS). Duties will include performing simulations with atmospheric convection- allowing models (CAMs), development of machine learning techniques that relate model simulations to past fire data, and research -to- operations activities with NWS forecast offices and the Storm Prediction Center (SPC). Required qualifications include computer programming and analysis experience with languages such as Python, Fortran, or equivalent. Preferred qualifications include familiarity running CAMs such as WRF, UFS, and MPAS, experience with machine learning algorithms, and prior work with fire weather prediction. The position will require some travel and participation in NOAA testbed activities. Please contact Dr. Brian Ancell ([log in to unmask]) with any questions regarding the position. To apply, please visit: https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25898&siteid=5635&PageType=JobDetails&jobid=824501 ------------------------------------------------------- From: Yunhui He [log in to unmask] Date: January 31, 2024 Subject: Postdoc Position. Mathematics, Univ of Houston, USA Applications are invited for a position within the Department of Mathematics at the University of Houston in the group of Numerical Analysis and Scientific Computing. The successful candidate will work with Dr. Yunhui He, with a research focus on the development of efficient solution algorithms for linear and nonlinear problems. Duties will include development and analysis of algorithms and their implementation in a high-performance computing environment. A desired, but flexible, start date of June 2024 is expected. The initial position will be for one year, with the possibility of renewal for another year. Opportunities for teaching may be available, if desired by the successful candidate. A PhD degree with emphasis on applied mathematics or scientific computing is required, with a preference for experience in computational PDEs, optimization, eigenvalue problems, computational science, numerical linear algebra, and/or nonlinear solvers, such as Anderson acceleration. Previous interdisciplinary project experience is a plus. The application must include a cover letter, a CV, and contact information of three references letter writers. Interested candidates should apply at: https://uhs.taleo.net/careersection/ex1_uhs/jobdetail.ftl?job=STA013664&tz=GMT-06%3A00&tzname=America%2FChicago. Review of applications will begin on March 15, 2024, and continue until the position is filled. Inquiries about the position may be directed to Yunhui He ([log in to unmask]). ------------------------------------------------------- From: Sigrid Staurset [log in to unmask] Date: January 25, 2024 Subject: Postdoc Positions, Computational/Natural Sciences, Univ of Oslo, Norway DSTrain (University of Oslo) invites applications to 18 postdoctoral fellowship positions within the overarching frame of data science, emphasizing interaction between data science, computational science, natural sciences, and technology. The target group of the programme is highly talented, aspiring researchers with backgrounds in Astrophysics, Biosciences, Chemistry, Geosciences, Informatics, Mathematics, Pharmacy, Physics, and Technology systems, who through the development of their individual-driven research projects will combine disciplinary expertise, with interdisciplinary elements, and integrating the use of computational methods. The fellowships will be of 36 months each. The postdoctoral fellows will be integrated in research groups across scientific disciplines where there is an urgent need for computationally skilled researchers. The research groups provide excellent research environments and supervision enabling world-class research, innovation and digital infrastructure, models for interdisciplinary collaboration and training in research, including computational and transferable skills. DSTrain also includes a range of cross-sectorial secondment opportunities. DSTrain is a 5-year postdoctoral programme launched and managed by dScience ^S Centre for Computational and Data Sciences at the Faculty of Mathematics and Natural Sciences at the University of Oslo (UiO). It is partly funded by the EU Horizon Europe under the Marie SkBodowska-Curie Action (MSCA) - Co-funding of Regional, National and International Programmes (COFUND). Application deadline: 14th April 2024 More information: https://www.jobbnorge.no/en/available-jobs/job/255679/dstrain-msca-postdoctoral-fellowships-in-computational-and-natural-sciences-18-positions ------------------------------------------------------- From: Angelos Mantzaflaris [log in to unmask] Date: January 30, 2024 Subject: PhD Position, Low Rank Approx for Tensor Modeling, Inria Sophia Antipolis TENORS (Tensor modEliNg, geOmetRy and optimiSation) is a Marie SkBodowska-Curie Doctoral Network / Joint Doctorate (2024-2027), offering 15 PhD positions starting from September 2024. The objective of TENORS is to conduct advanced research that addresses critical challenges in the fields of tensor modeling and computation, joining forces from algebraic geometry, global optimisation, numerical computation, high performance computing, data science, quantum physics. One position in TENORS is around low-rank representations of numerical solutions of high-dimensional partial differential operators, for use in modeling and optimization. In particular we aim at accelerating isogeometric discretizations that are based on tensor-product or hierarchical splines. Solving using grid-based methods suffers from the, so called, curse of dimensionality and scales badly with the number of knots in the spline representation. We will tackle this problem using tensor decomposition by means of the moment method. The problem discretization will be carried out using tensor-product spline bases, enhanced by the use of low-rank approximation of the computational domain and the numerical solution. Consequently, the computational complexity of the method will depend on the resulting tensor rank and will be linear in the grid dimensions. In a second phase the discretization will be enriched using hierarchical splines, for localizing the problem and for gaining efficiency in high dimensional instances The candidate will work at INRIA at Universite Cote d'Azur in Sophia Antipolis, and will spend one semester at the University of Florence as well as few months at Artelys Paris. Info: https://tenors-network.eu/dc2-low-rank-approximation-for-tensor-modeling/ Apply: https://tenors-network.eu/phd-positions/ ------------------------------------------------------- From: Kirk M. Soodhalter [log in to unmask] Date: January 24, 2024 Subject: PhD Position, Mathematics, Trinity College Dublin, Ireland Full Announcement: https://www.maths.tcd.ie/~ksoodha/phd2024 Position: We are looking for a Ph.D. student in applied mathematics to work on an interdisciplinary project. The student would be situated in the School of Mathematics at Trinity College Dublin supervised by Professor Kirk M. Soodhalter. The overarching project is multidisciplinary (with collaboraton with biomedical engineering teams) and focuses on the analysis of the brain activity and connectivity in health and disease, but this Ph.D. position is focused on the mathematical component (applied linear algebra/ill-posed problems/image and signal reconstruction and iterative methods to treat these problems) and requires an applicant with a strong applied mathematical background, with the goal of earning a Ph.D. in mathematics. Candidate: Eligible candidates for the position must have a Masters or equivalent degree in mathematics. The candidate is expected to have a solid background in applied mathematics with experience in numerical analysis, numerical PDEs, integral equations, multivariate statistics/linear algebra, and inverse problems. Having done a masters thesis, bachelors project, or other such work in inverse problems, numerical linear algebra, numerical analysis or a related field would be an asset, and strong consideration will be given to such candidates. Application: Application packages need to contain a CV, a letter of motivation, copies of degree certificates, and relevant course transcripts along with contact details of at least two academic referees. Mark your application with the reference number #TCDMathNeuro. Further requirements can be found in full announcement. DEADLINE Rolling until the position is filled but preference will be given to candidates who apply by 24 February. Apply by emailing application materials to [log in to unmask] ------------------------------------------------------- From: Iain Smears [log in to unmask] Date: January 26, 2024 Subject: PhD Position, Numerical Analysis, Univ College London, UK Applications are invited for a PhD studentship in Numerical Analysis in the Department of Mathematics at University College London. The research theme is the development and analysis of numerical methods for mean field games, under the supervision of Dr Iain Smears, Associate Professor in Applied Mathematics. The funding is for 4 years, and includes tuition fee at Home (UK) rate, an annual stipend, and an allowance for research costs. Further details, including instructions on how to apply, are available at https://www.ucl.ac.uk/maths/home/vacancies/phd-studentship-mathematical-sciences Informal enquiries should be sent to Dr Iain Smears at [log in to unmask] The deadline for applications is 03 April 2024. ------------------------------------------------------- From: Dr. Denys Dutykh [log in to unmask] Date: January 22, 2024 Subject: PhD Positions, Mathematics, Khalifa Univ of Science and Technology, UAE The Mathematics Department at Khalifa University of Science and Technology (KU) is delighted to invite applications for several PhD student positions, commencing on a four-year initial basis. These positions present a unique opportunity for aspiring scholars to engage in cutting-edge research in the realms of applied and computational mathematics, mathematical modelling, nonlinear waves, machine learning, and dimensionality reduction methods. Eligibility Criteria: A Master of Science degree from a recognised university. A minimum Grade Point Average (GPA) of 3.25 on a 4.0 scale. Proficiency in English, evidenced by TOEFL/IELTS scores. A Graduate Record Examination (GRE) score exceeding 150. Exceptional candidates holding only a Bachelor of Science degree may be considered (minimum Cumulative GPA of 3.5/4.0). Further details on the admission procedure can be found here: https://www.ku.ac.ae/postgraduate-admissions/ For more information on our funding package, please visit: https://www.ku.ac.ae/scholarships-postgraduate/ Interested candidates are invited to submit a detailed Curriculum Vitae, academic transcripts, a statement of research interests, and a personal research statement via email. All applications will be thoroughly reviewed, and candidates whose profiles align closely with our research objectives will be contacted for further discussion. ------------------------------------------------------- From: Estelle Massart [log in to unmask] Date: January 31, 2024 Subject: PhD Positions, Neural Tensor Train Networks, KU Leuven/UCLouvain We are looking for PhD candidates to fill 2 fully-funded 4-year PhD positions. One position is in the NUMA unit at the Department of Computer Science, KU Leuven, Belgium, while the other position is in the ICTEAM institute at the Mathematical Engineering Departement, UCLouvain, Belgium. We seek candidates with a Master's degree in Applied Mathematics, Computer Science, Data Science, and/or (Applied) Mathematics, broadly defined. The PhD candidates will carry out fundamental scientific research on the NTTN project of professors E. Massart (UCLouvain) and N. Vannieuwenhoven (KU Leuven). This project will develop new machine learning models and corresponding training algorithms to tackle two current challenges in data science: growing primary energy consumption and proliferation of biases in training data. We aim to tackle these fundamental challenges through an interesting blend of deep learning, tensor decompositions, Riemannian optimization, and representation theory. Applications will be considered as soon as we receive them. The procedure may be closed earlier than the final application date (March 26, 2024) in case 2 excellent candidates have been found. Some flexibility in the starting date of the position is possible, but it must be in 2024. The ideal starting date is before October 2024. For more information on the KU Leuven position, including the link to the application website, please consult https://www.kuleuven.be/personeel/jobsite/jobs/60300439?lang=en For more information on the UCLouvain position, including the link to the application website, please consult https://perso.uclouvain.be/estelle.massart/nttn.html ------------------------------------------------------- From: Matthias K Gobbert [log in to unmask] Date: January 25, 2024 Subject: REU Positions, Big Data with HPC, ONLINE, Jun-Aug 2024 Please forward to undergraduate students interested in AI and HPC! We are organizing an NSF-funded REU (Research Experiences for Undergraduates) Site program at UMBC: Online Interdisciplinary Big Data Analytics in Science and Engineering. It is a purely online program open to students from the entire nation. The 8-week program will include training in fundamentals of HPC software (MPI) and productivity tools (SLURM) on large distributed-memory clusters with CPUs and GPUs as well as Data Analytics applications like Tensorflow, Keras, PyTorch, Horovod. Each student will be paid a stipend of $5,600 for participation and provided with opportunities to present their work at conferences. We are looking for students from all STEM disciplines and particularly also for students who are interested in gaining Big Data, HPC, and application experience. More information can be found at https://bigdatareu.umbc.edu and the PDF flyer there. The application deadline is 03/01/2024. The two project topics planned for summer 2023 are (1) Artificial Intelligence and Big Data Research for Earth Applications; (2) Machine Learning in Real-Time Imaging for Proton Radiotherapy. Both projects are in collaboration with outside collaborators to give an interdisciplinary research experience. Each team of participants is supported by a dedicated graduate assistant and will publish a technical report in the HPCF Tech. Rep. series. Every team in past years has additionally published at least a conference paper. Please distribute this opportunity to undergraduate students and additional colleagues/communities. Thank you very much! Matthias Gobbert, Math & Stat ([log in to unmask]) and Jianwu Wang, IS ([log in to unmask]) ------------------------------------------------------- From: Irena Lasiecka [log in to unmask] Date: January 28, 2024 Subject: Contents, EECT Evolution Equations and Control Theory, 13 (1) EECT-vol 13, nr 1. February 2024. 1.An anisotropic tempered fractional Laplacian model involving logarithmic nonlinearity, Lihong Zhang, Wenwen Hou, Juan J. Nieto and Guotao Wang 2.Sharp polynomial decay rate of multi-link hyperbolic-parabolic systems with different network configurations, Yan-Fang Li and Yang Wang 3.Riccati-based solution to the optimal control of linear evolution equations with finite memory, Paolo Acquistapace and Francesca Bucci 4.Stabilization of a Rayleigh beam with collocated piezoelectric sensor/actuator, Yubo Bai, Christophe Prieur and Zhiqiang Wang 5.Singular limits and dynamics for the abstract Timoshenko system, Mirelson M. Freitas, Manoel J. Dos Santos, Dilberto S. Almeida Jr., Mauro L. Santos and Anderson J. A. Ramos 6.An effect of decay rates: Supercritical damping and a viscoelastic term, Fang Li and Xiaolei Li 7.Control of a flexible satellite with an internal nonlinear disturbance, Billal Lekdim and Ammar Khemmoudj 8.Approximate controllability for second-order stochastic neutral evolution equations with infinite delay, Xiaodong Kang and Hongxia Fan 9.Unique mild solution for Caputo's fractional perturbed evolution equations with state-dependent delay, Nardjis Lachachi-Merad, Selma Baghli-Bendimerad and Mouffak Benchohra 10. Hyers-Ulam stability result for Hilfer fractional integrodifferential stochastic equations with fractional noises and non-instantaneous impulses, J. Priyadharsini and P. Balasubramaniam 11. Feedback control problems for a class of backward Riemann- Liouville fractional evolution hemivariational inequalities with dual operators, Jiang-tao Liu, Fan Hu and Yi-rong Jiang 12.Sharp estimates for biorthogonal families to exponential functions associated to complex sequences without gap conditions, Manuel Gonzalez-Burgos and Lydia Ouaili 13. On theoretical result of a controlled reaction diffusion equation for Poisson noise reduction, Mourad Nachaoui, Amine Laghrib and Abdelmajid El Hakoume ------------------------------------------------------- From: Yonghui Yu [log in to unmask] Date: January 24, 2024 Subject: Contents, J Computational Mathematics, 42 (1) Journal of Computational Mathematics, Volume 42 (2024), issue 1 https://www.global-sci.org/intro/articles_list/jcm/2425.html CONTENTS Analysis of the Implicit-explicit Ultraweak Discontinuous Galerkin Method for Convection-diffusion Problems, Haijin Wang, Anping Xu and Qi Tao A Newton-type Globally Convergent Interior-point Method to Solve Multi-objective Optimization Problems, Jauny Prajapati, Debdas Ghosh and Ashutosh Upadhayay Convergence Analysis of Some Finite Element Parallel Algorithms for the Stationary Incompressible MHD Equations, Xiaojing Dong and Yinnian He Unconditional Convergence and Error Estimates of a Fully Discrete Finite Element Method for the Micropolar Navier-Stokes Equations, Shipeng Mao, Jiaao Sun and Wendong Xue Semi-implicit Spectral Deferred Correction Methods Based on Second- order Time Integration Schemes for Nonlinear PDEs, Ruihan Guo and Yan Xu Alternating Optimization Method for Isogeometric Topology Optimization with Stress Constraints, Xiaoya Zhai A Direct Discontinuous Galerkin Method for Time Fractional Diffusion Equations with Fractional Dynamic Boundary Conditions, Jingjun Zhao, Wenjiao Zhao and Yang Xu The Truncated EM Method for Jump-diffusion SDDEs with Super- linearly Growing Diffusion and Jump Coefficients, Shounian Deng, Chen Fei, Weiyin Fei and Xuerong Mao Legendre-Gauss-Radau Spectral Collocation Method for Nonlinear Second-order Initial Value Problems with Applications to Wave, Equations Lina Wang, Qian Tong, Lijun Yi and Mingzhu Zhang Strong Convergence of Jump-adapted Implicit Milstein Method for a Class of Nonlinear Jump-diffusion Problems, Xu Yang and Weidong Zhao Stable Recovery of Sparsely Corrupted Signals Through Justice Pursuit De-Noising, Ningning Li, Wengu Chen and Huanmin Ge Uniform Error Bounds of a Conservative Compact Finite Difference Method for the Quantum Zakharov System in the Subsonic Limit Regime, Gengen Zhang and Chunmei Su ------------------------------------------------------- End of Digest **************************