Subject: NA Digest, V. 22, # 32 NA Digest Sunday, October 02, 2022 Volume 22 : Issue 32 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: New Book, Numerical Simulation of Incompressible Viscous Flow AI4Science Workshop, Morocco, Dec 2022 Call for Minitutorials, SIAM CSE, The Netherlands, Feb 2023 Optimal Guidance & Control, Autonomous Systems, USA, Mar 2023 Biennial Conference on Numerical Analysis, UK, Jun 2023 Faculty Positions, Computational Applied Math and OR, Rice Univ Tenure-Track Positions, Math, Stats, Actuarial Science, UT Dallas Tenure-Track Position, Computational PDEs, Univ of Houston Tenure-Track Positions, Univ of Delaware Research Assistant Professor Position, CS, HKBU Visiting Assistant Professor Position, Mathematics, MTU Postdoc Position, Inverse Problems, Technical University of Denmark Postdoc Position, M3AI Lab/MS2Discovery, WLU, Canada Postdoc Position, Numerical Comp/Optim/Wavelet/ML, SZU Postdoc Position, Optimal Control, Czech Technical Univ Postdoc Position, Scientific Computing, Univ of Bordeaux, France PhD/Postdoc Position, Optimization, Applied Mathematics, Germany Doctoral/Postdoc Positions, Mathematics Munster Doctoral Position, Data Science/Machine Learning PhD Position, Probabilistic Tensor Methods, TU Delft, The Netherlands PhD Position, Scientific Machine Learning, Manchester Metropolitan PhD Positions, Numerical Analysis, Germany Prospective PhD Students Fair, ONLINE, Oct 2022 Call for Papers, AppliedMath, Open Access Contents, Electron. Trans. Numer. Anal. (ETNA), 55 Contents, Evolution Equations and Control Theory, 11 (6) 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: Tsorng-Whay Pan [log in to unmask] Date: September 29, 2022 Subject: New Book, Numerical Simulation of Incompressible Viscous Flow Numerical Simulation of Incompressible Viscous Flow: Methods and Applications By Roland Glowinski and Tsorng-Whay Pan Series in Applied and Numerical Mathematics, vol. 7 This book on finite element-based computational methods for solving incompressible viscous fluid flow problems shows readers how to apply operator splitting techniques to decouple complicated computational fluid dynamics problems into a sequence of relatively simpler sub-problems at each time step, such as hemispherical cavity flow, cavity flow of an Oldroyd-B viscoelastic flow, and particle interaction in an Oldroyd-B type viscoelastic fluid. Efficient and robust numerical methods for solving those resulting simpler sub-problems are introduced and discussed. Interesting computational results are presented to show the capability of methodologies addressed in the book. This book discusses finite element based computational methods for solving incompressible viscous fluid flow problems. Fundamental aspects of the computational methodologies, and extensions for advanced engineering applications are also presented. De Gruyter 2022: https://www.degruyter.com/document/doi/10.1515/9783110785012/html ------------------------------------------------------- From: saad benjelloun [log in to unmask] Date: September 26, 2022 Subject: AI4Science Workshop, Morocco, Dec 2022 I would like to share with you this upcoming workshop, aimed toward professors and researchers in ML and other fields of science, to learn and explore AI, how and what it can do to enhance and accelerate scientific discovery. ai4science.nassma.ai The addressed scientific applications will range from Protein folding, drug discovery to climate modeling and computational physics. The workshop is a collaboration between NASSMA Organisation for the promotion of STEM education and Research and UM6P, MASCIR-UM6P and Google Deepmind. More information and application (before October 15th) on : ai4science.nassma.ai ------------------------------------------------------- From: David Gleich [log in to unmask] Date: September 26, 2022 Subject: Call for Minitutorials, SIAM CSE, The Netherlands, Feb 2023 SIAM is seeking proposals for minitutorials to be presented at the 2023 SIAM Conference on Computational Science and Engineering (CSE23), February 26-March 3, 2023 in Amsterdam, the Netherlands. Please see https://www.siam.org/Portals/0/Conferences/CSE23/CSE23_MT_CFP.pdf for more details, including how to submit. The deadline for minitutorial proposals is October 18, 2022. For all conference details, including conference themes, go to: https://www.siam.org/conferences/cm/conference/cse23 The SIAM CSE conference seeks to enable in-depth technical discussions on a wide variety of major computational efforts on large-scale problems in science and engineering, foster the interdisciplinary culture required to meet these large-scale challenges, and promote the training of the next generation of computational scientists. ------------------------------------------------------- From: Dilmurat Azimov [log in to unmask] Date: September 29, 2022 Subject: Optimal Guidance & Control, Autonomous Systems, USA, Mar 2023 IUTAM Symposium on Optimal Guidance and Control for Autonomous Systems Location: University of Hawaii, Manoa, Honolulu, Hawaii, 96822 Event Type: Symposium Submission Type: Abstract (with no more than one page MS Word or pdf.) Symposium Website: https://manoa.hawaii.edu/ISOGCAS2020/ Important due dates: December 20, 2022: abstract due January 20, 2023: acceptance notification February 20, 2023: final upload of papers February 1 - March 10, 2023: early registration March 14 - March 16, 2023: on-site registration Areas of the symposium include, but not limited to: Autonomous systems; Motion planning ; Optimal Control; Feedback control; Machine learning; Reinforcement learning; Swarm network control; Centralized or decentralized control; Guidance, navigation and control (GNC); Stability; Targeting; Data processing; Sensor fusion; On-board control systems. ------------------------------------------------------- From: Gabriel R. Barrenechea [log in to unmask] Date: September 26, 2022 Subject: Biennial Conference on Numerical Analysis, UK, Jun 2023 It is our pleasure to announce that registration will open shortly for the 29th Biennial Conference on Numerical Analysis. The meeting will take place during June 27-30, 2023 at the University of Strathclyde, Glasgow, Scotland This long established conference is open to all researchers in the field, and you are invited to contribute a talk on your current work. PhD students and young researchers will find the environment particularly welcoming. We will solicit proposals for mini-symposia to be submitted on-line. The following distinguished researchers have accepted invitations for plenary lectures at the conference: Coralia Cartis, University of Oxford; Lars Elden, Linkoping University; Emmanuil Georgoulis, Heriot-Watt University and National Technical University of Athens; Chen Greif, The University of British Columbia; Laura Grigori, INRIA, Paris; Angela Kunoth, University of Cologne; Sven Leyffer, Argonne National Laboratory; Riccardo Nochetto, University of Maryland, College Park; Daniel Peterseim, University of Augsburg; Gabriel Peyre, Ecole Normale Superieure; Catherine Powell, The University of Manchester; Christine Tretter, University of Bern. The A R Mitchell lecture will be given by Ricardo Nochetto and the Fletcher-Powell lecture by Sven Leyffer. Further information can be found at the Conference's web page https://numericalanalysisconference.org.uk/ ------------------------------------------------------- From: Heinkenschloss Matthias [log in to unmask] Date: September 28, 2022 Subject: Faculty Positions, Computational Applied Math and OR, Rice Univ The Department of Computational Applied Mathematics and Operations Research at Rice University in Houston, Texas, seeks outstanding candidates for two positions aligned with its expansion in computational and applied mathematics. Each application must include an application letter, a current curriculum vitae with a publication list, a research statement, a teaching statement, and a diversity statement. Applicants should also arrange for three recommendation letters. To receive full consideration, the complete application must be received by October 15, 2022, but the committee may consider applications filed after that date. More information on the job posting is at: https://www.mathjobs.org/jobs/list/20562 Applications must be made through: https://apply.interfolio.com/112731 ------------------------------------------------------- From: Yifei Lou [log in to unmask] Date: September 26, 2022 Subject: Tenure-Track Positions, Math, Stats, Actuarial Science, UT Dallas Tenure-track Faculty Positions in Mathematics, Statistics, and Actuarial Science The Department of Mathematical Sciences within the School of Natural Sciences and Mathematics at the University of Texas at Dallas invites applications for tenure-track faculty positions at the Assistant Professor level in the following areas: Mathematics, Statistics, and Actuarial Science. Successful candidates will have an outstanding record of research excellence in the field with strong likelihood of funded grants from federal agencies; a commitment to effective and engaging teaching at both undergraduate and graduate levels; and a commitment to mentoring students in the respective programs. Candidates must have a PhD or equivalent in Mathematics, Statistics, or a closely related field for positions in Mathematics and Statistics. For the Actuarial Science position, candidates must have a Ph.D. (or equivalent) in Actuarial Science, Statistics, Mathematics, Risk Management, or a closely related field. All candidates should demonstrate their commitment to excellence in teaching, research, and service, which includes a strong commitment to principles of diversity, equity, and inclusion. All candidates are expected to work effectively in a highly collaborative, engaging, and dynamic environment comprised of individuals of diverse backgrounds, skills, and perspectives. The appointment commences in Fall 2023. A doctoral degree is required prior to joining; those with ABD status will be considered at the application/interviewing stage. Candidates for the position in Actuarial Science should also have actuarial credentials, such as an Associate or a Fellow of a professional actuarial organization. Applicants should upload the following via the online application: Cover letter and full curriculum vitae summarizing their interests and their qualifications for the position, including past and/or anticipated future efforts to advance diversity, equity and inclusion; Statement of teaching philosophy describing (at a minimum) their conceptualizations of teaching and learning, teaching and assessment methods, and how their teaching philosophy and practices foster (or will foster) equitable and inclusive learning environments; Statement of research interests describing (at a minimum) past, present, and future research and how they have fostered (or will foster) equitable and inclusive research environments; and Full contact information for at least three academic or professional references. The links for online applications are: Mathematics: https://jobs.utdallas.edu/postings/20984/ Statistics: https://jobs.utdallas.edu/postings/20995/ Actuarial science: https://jobs.utdallas.edu/postings/20997/ Reviews will commence as completed applications are received and will continue until the position is filled or the search is closed on April 1, 2023. Priority will be given to completed applications received by October 5, 2022. ------------------------------------------------------- From: Tsorng-Whay Pan [log in to unmask] Date: September 30, 2022 Subject: Tenure-Track Position, Computational PDEs, Univ of Houston The Department of Mathematics in the College of Natural Sciences and Mathematics at the University of Houston invites applications from candidates working in computational partial differential equations (PDEs) and scientific computing for a tenure-track Assistant Professor position to begin in August 2023. We are particularly interested in someone with expertise in computational PDEs and scientific computing who would complement and enhance the excellent group in applied mathematics at the Department of Mathematics, facilitate interactions with research groups at Texas Medical Center and the UH College of Medicine, and further our strategic connections with other departments at UH in the Advanced Computing and Information Science, the R&D priority area. Candidates with high-level of competence in the application of computational PDEs and scientific computing to Life Science and Medicine are particularly encouraged to apply. The Department of Mathematics is seeking outstanding candidates with the potential for exceptional research, excellence in teaching, and clear commitment to enhancing the diversity of the faculty, graduate and undergraduate student population. A minimum requirement for this position is a PhD in Mathematics, or a related field. Note: Official transcripts are required for a faculty appointment and will be requested upon selection of the final candidate. Candidates should provide the names and contact information for four recommendation letter writers of which one addresses teaching. All positions at the University of Houston are security sensitive and will require a criminal history check. Official job posting for University of Houston can be found here: https://uhs.taleo.net/careersection/ex2_uhf/jobdetail.ftl?job=FAC002498&tz=GMT-05%3A00&tzname=America%2FChicago Submit the following items online at this website to complete your application: Cover letter; Curriculum Vitae; Research statement; Statement of teaching philosophy; Four reference letters (to be submitted online by the reference writers); And anything else requested in the position description. Further Info: https://uhs.taleo.net/careersection/ex2_uhf/jobdetail.ftl?job=FAC002498&tz=GMT-05%3A00&tzname=America%2FChicago ------------------------------------------------------- From: Ilya Safro [log in to unmask] Date: September 30, 2022 Subject: Tenure-Track Positions, Univ of Delaware Open Rank Tenure Track Faculty Positions Department of Computer and Information Sciences University of Delaware Apply at https://careers.udel.edu/en-us/job/499305/tenure-track-open-rank-faculty-position-computational-materials-science Applications are invited for an open-rank cross-disciplinary tenure-track faculty position in computational materials science in the College of Engineering at the University of Delaware. The position will have a primary appointment in the Computer and Information Sciences (CIS) Department and a secondary appointment in Material Science and Engineering (MSEG) Department. Areas of high interest include but are not limited to AI, machine learning, computer vision, scientific and high- performance computing, complex network science, and algorithms with applications to computational materials design and materials genome, data driven materials modeling and discovery, and materials informatics. Outstanding candidates in all areas will also be considered. Applicants should hold a Ph.D. or its equivalent in a relevant field. We encourage all ambitious, innovative individuals, who have demonstrated excellence in research and drive to become leaders in their fields while engaging in high-quality teaching and mentoring of diverse students, to apply. Review of applications will begin on November 15, 2022 and will continue until the position is filled. Other Computer and Information Sciences positions are available at https://careers.udel.edu/en-us/job/499255/open-rank-tenure-track-faculty-position-computer-and-information-sciences and https://careers.udel.edu/en-us/job/499307/tenure-track-faculty-position-computational-biomedicine ------------------------------------------------------- From: HKBU Computer Science [log in to unmask] Date: September 28, 2022 Subject: Research Assistant Professor Position, CS, HKBU The Department of Computer Science at Hong Kong Baptist University presently offers BSc, MSc, MPhil, and PhD programmes, and is now seeking outstanding applicants for the following positions. Research Assistant Professor in Computer Science (3 vacancies) (PR0174/22-23). The positions are created and funded as part of the strategic research development initiatives in the Department. The appointees will be provided with a conducive research environment, and will work within an established group of faculty in the Department. They are also expected to perform group-based high-impact research and undertake some teaching duties. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high-quality research in one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition; and (iv) Distributed Systems and Networking. These key research areas have a special thematic focus on (a) Health Informatics and (b) Security and Privacy-aware Computing related applications. The initial appointment will be made on a fixed-term contract of two to three years. Re-appointment thereafter is subject to mutual agreement. For enquiry, please contact Prof. Jianliang Xu, Head of Department (email: [log in to unmask]) More information about the Department can be found on its website at https://www.comp.hkbu.edu.hk. Salary will be commensurate with qualifications and experience. Applicants are invited to submit their applications at the HKBU e- Recruitment System (jobs.hkbu.edu.hk) with samples of publications, preferably the three best ones out of their most recent publications/works. Those should also request two referees to send in confidential letters of reference, with the PR number (stated above) quoted on the letters, to the Human Resources Office (Email: [log in to unmask]) direct. Those who are not invited for interview 4 months after the submission of the application may consider their applications unsuccessful. All application materials including publication samples, and scholarly/creative works will be disposed of after completion of the recruitment exercise. Details of the University's Personal Information Collection Statement can be found at http://hro.hkbu.edu.hk/pics. Review of applications is on-going until the positions are filled. URL: https://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=832 ------------------------------------------------------- From: Jiguang Sun [log in to unmask] Date: September 29, 2022 Subject: Visiting Assistant Professor Position, Mathematics, MTU The Department of Mathematical Sciences at Michigan Technological University invites applications for a Visiting Assistant Professor. Candidates should have a Ph.D. in mathematics or a related discipline and have research experience in computational mathematics, machine learning, and statistics. More information can be found at: https://www.employment.mtu.edu/cw/en-us/job/492819 ------------------------------------------------------- From: Yiqiu Dong [log in to unmask] Date: September 26, 2022 Subject: Postdoc Position, Inverse Problems, Technical University of Denmark The Technical University of Denmark has an opening for two 2-year Postdoc positions. The positions are part of the research project "Tomography of Alpha Particles in Fusion Plasma (TAPP)". The goal of the TAPP projects is to exploit and further develop the novel tomographic reconstruction methods to explain new physics of the energetic alpha particles by using comprehensive data from the fusion device through velocity-space tomography. Two positions will be hired at either DTU Compute or DTU Physics. The candidate must have either a solid background in inverse problems or deep understanding on the physics of fusion plasmas. For more details and to apply: https://www.dtu.dk/english/about/job-and-career/vacant-positions/job?id=235a4c72-c548-4195-8314-41217d478d40 The deadline of applications is 22 October 2022 at 23:59 (Danish time). ------------------------------------------------------- From: Roderick Melnik [log in to unmask] Date: September 26, 2022 Subject: Postdoc Position, M3AI Lab/MS2Discovery, WLU, Canada Applications are invited for a Postdoctoral Position in Modeling for Complex Systems, with a focus on the areas specified at the website given below. The successful candidate will be part of the research program in mathematical modeling and computational & data sciences at the Laurier M3AI Lab and MS2Discovery Institute in Waterloo, Canada. Further information about the position and how to apply can be found at the following website: https://m3ai.wlu.ca/research/current-openings.html The position is available from January 3, 2023. The review of applications will begin immediately and continue until the position is filled. ------------------------------------------------------- From: J. Lu [log in to unmask] Date: October 01, 2022 Subject: Postdoc Position, Numerical Comp/Optim/Wavelet/ML, SZU Job Type: Full-Time for Research Scientist / PostDoc Duration: 2 years Number of Position: 2 Positions Salary for Postdoc: about 340,000 RMB (about 48892 US dollars) -- 420,000RMB (about 60396 US dollars) per year. Closing Date: Open Until Filled. Description: We have projects that are looking for Research Scientists/Postdoc in Wavelet analysis, Optimization, Numerical Computing, Image/Video/Signal Processing/Analysis, Matrix theory, Harmonic Analysis, Machine Learning, etc. We have no teaching tasks. Promotors: Prof. Jian Lu (Shenzhen Key Laboratory of Advanced Machine Learning and Applications, College of Mathematics and Statistics, Shenzhen University, Shenzhen, China. email: [log in to unmask]; [log in to unmask]) Those who are interested in Research Scientist/Postdoc please send their C.V. to Prof. Dr. Jian Lu (email: [log in to unmask]; [log in to unmask] ). ------------------------------------------------------- From: Jakub Marecek [log in to unmask] Date: October 01, 2022 Subject: Postdoc Position, Optimal Control, Czech Technical Univ Mixed-integer programming is a rich area of research in optimization, largely driven by applications. Recently, there has been much interest in the operations of pipelines carrying natural gas. In contrast, the scheduling of multiproduct pipeline systems carrying oil and oil products introduces several complications: multi-commodity aspects, operational constraints of the refineries, non-trivial models of the cost of pumping (driven by electricity markets, but also the sale of ancillary services therein), and railway logistics as an alternative to pumping. In collaboration with a major operator of pipelines carrying crude oil and numerous oil products, we are seeking a post-doctoral fellow interested in the optimal scheduling of a multiproduct pipeline system using a mixed- integer programming. With the help of a team of professional software engineers at a third-party software house, the research will translate into production, improving the operator's performance with respect to electricity efficiency. The post-doctoral fellow will benefit from the mentorship by Jakub Marecek and Vyacheslav Kungurtsev in the Dept. of Computer Science of the Czech Technical University. The position is full time and limited to 3 years, but can be extended in case of mutual interest. The studentship comes with a monthly salary almost double the average pay in Prague, the Czech Republic (cca. EUR 40K p.a. before a notably low tax). The Czech capital regularly ranks among five European cities within the world's best cities in the world to live in (cf. Time Out Magazine index for 2021) and CTU's offices are in a centrally-located palace with a view of Prague Castle. For more information, please see https://en.wikipedia.org/wiki/Prague We seek candidates with a Ph.D. degree in Mathematics, Computer Science, Operations Research, Engineering or related disciplines, and some experience in integer programming. A preference is given to: candidates with experience in optimal control; candidates with experience with scheduling or multi-commodity flow models; candidates with experience in programming in Python. We expect to start interviewing candidates in September 2022 and the position will be available until filled. Czech Technical University (CTU) is the oldest non-military technical university in Europe. In the academic year 2020/21, CTU offered 130 degree programs in Czech and 84 in English. CTU's control-theory research is well known, especially thanks to Vladimir Kucera. CTU's Artificial Intelligence Center (AIC) with a staff of 150 is widely recognized as one of the best in the region. CSRankings.org currently ranks it at number 6 in Europe within AI and Computer Vision, after Technion, ETH Zurich, Imperial, Max Planck Society, and EPFL. Since March 2020, Jakub Marecek leads the Optimization research group within the AIC. For more information, please see https://www.aic.fel.cvut.cz/research- areas/optimization ------------------------------------------------------- From: Fischer Patrick [log in to unmask] Date: September 29, 2022 Subject: Postdoc Position, Scientific Computing, Univ of Bordeaux, France A two years Postdoctoral position will be available to work on the AAPG2022 research project LiFT (funding from the French government) related to Navier-Stokes numerical simulations. The goal of this postdoctoral research will be to perform the numerical simulations corresponding to the physical experiments carried out by our partners at LOMA laboratory. Summary: Two aspects of turbulent flows have been the subjects of extensive, but separate, research efforts: their macroscopic properties and their turbulent spectrum. Linking these two strands of turbulence represents a major step and opens new possibilities in controlling the macroscopic response through tuning the statistical properties of turbulent flows, notably by using additives such as polymers, surfactants, or air bubbles. Three specific objectives have been identified and will be tackled in three work-packages: 1. Uncover the roughness-dependence of friction drag in 2D turbulent flows; 2. Probe the phenomenon of drag reduction in 2D turbulent flows; 3. Develop an original 2D Couette cell with different statistical properties of turbulence. Profile: PhD in scientific computing or in fluid mechanics with strong competences in scientific programming in FORTRAN. Experiences in High Performance Computing will be greatly appreciated. Fluent in english. Salary: 25900 Euro/year. Expected beginning of the position: October 1st, 2023. Interested applicants should send a curriculum vitae including a complete list of publications names of three references including email addresses to: Dr Patrick Fischer: [log in to unmask] . This search will proceed until a suitable candidate is selected. Applications will be reviewed from October 1, 2022. ------------------------------------------------------- From: Thomas Carraro [log in to unmask] Date: September 26, 2022 Subject: PhD/Postdoc Position, Optimization, Applied Mathematics, Germany Helmut Schmidt University / UniBw Hamburg (Germany) offers a position as PhD student or Postdoc (f/m/d) in Applied Mathematics for three years. The scientific activity is carried out within the framework of the third party funded research collaborative project "HiBRAIN- Holistic method of a combined data- and model-based electrode design supported by artificial intelligence; Subproject: Optimal experimental design and model development". Optimal design of experiments with partial differential equations (PDE). The goal of optimal design of experiments is to minimize the uncertainty in the estimation of the model parameters. Mathematically, it is a nested optimization task. After the estimator of the selected parameters is found, its covariance is optimized in a stochastic sense. The classical optimality criteria are functionals of the eigenvalues of the covariance matrix of the model parameters. In this project, classical methods of optimal design of experiments as well as Bayesian approaches and stochastic optimization approaches can be considered. Artificial intelligence support will be explored in all parts of the project in collaboration with HiBRAIN partners. Support the teaching of calculus, linear algebra, and numerical mathematics. Qualification Requirements: A master's degree in mathematics completed with above average results; Excellent knowledge in programming with C++ or Python; Very good knowledge of German and English, both written and spoken. Furthermore preferred: Special knowledge of optimization with partial differential equations as constraints; Sound knowledge of discretization methods for PDE, preferably finite element method; Experience with artificial intelligence and machine learning may be helpful, but is not required; Experience in project management of scientific projects; Strong interest in scientific work as well as the ability to teach. For information on the position, please contact Prof. Dr. Thomas Carraro, e-mail: [log in to unmask] ------------------------------------------------------- From: Mario Ohlberger [log in to unmask] Date: September 30, 2022 Subject: Doctoral/Postdoc Positions, Mathematics Munster Dive into your own research project and benefit from the excellent research environment at the University of Munster, Germany. Doctoral positions, postdoctoral positions as well as Young Research Groups at 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 Mathematics Munster. The duration of the PhD positions is three years. The expected starting date is no later than October 2023. Apply until 1 November 2022. Apply now: Postdoctoral Positions. Establish your own research profile in our stimulating research environment amongst internationally renowned scientists and benefit from the career development opportunities to foster your scientific independence. Salary level E13 TV-L, 100% for up to three years. In all research areas related to Mathematics Munster. The expected starting date is no later than October 2023. Apply until 1 November 2022. Apply now: Young Research Groups Collaborate for four years as Young Research Group, consisting of two Postdocs, on a joint research project relevant to the topics of Mathematics Munster. Group members are expected to apply individually for the postdoc positions and hand in a joint letter of motivation. Salary level E13 TV-L, 100% for up to four years. In all research areas related to Mathematics Munster. The expected starting date is no later than October 2023. Postdoc applicants are invited to collaborate as a Young Research Group on a joint research project relevant to the topics of Mathematics Munster. Find more information on positions, requirements and online application form at: https://www.uni-muenster.de/MathematicsMuenster/careers/apply ------------------------------------------------------- From: Viktoria Schildhammer [log in to unmask] Date: September 29, 2022 Subject: Doctoral Position, Data Science/Machine Learning The Research Network "Data Science @ Uni Vienna" invites applications for a doctoral position in the field of Machine Learning with applications for training load management in top-level sports. We are looking for candidates with a strong background in statistics, particularly machine learning, good programming skills in R and/or Python and experience in visualization and visual data analysis. Candidates should have a master's degree preferably in data science, statistics, mathematics, computer science or related fields with strong quantitative orientation. We offer a pleasant work environment within a friendly, dynamic and international team, being placed in a city with the world-wide highest living quality. The candidate will work in the project "Artificial Intelligence in Rowing" (AIROW), a highly innovative and interdisciplinary project on the interface between statistics, computer science and sports sciences. This project will bring together methodological competence in data science with current developments in sport sciences as well as technological progress in wearables and medical diagnostics in order to optimize training load of top athletes in endurance sports, such as rowing, swimming, triathlon or running. We will collect and process "big data" from training and performance processes of individual athletes and will use state-of-the-art machine learning technology in order to quantify the training workload, to predict the effect of training impulses and to optimize training management. For more details, see https://airow.univie.ac.at. Contracts for doctoral students are limited to 4 years. Doctoral applications should include (i) a curriculum vitae, (ii) a transcript of completed courses and grades (iii) a letter of motivation, and (iv) three recommendation letters. Salary in accordance with collective bargaining agreement: S48 VwGr. B1 Grundstufe (praedoc) with relevant work experience determining the assignment to a particular salary grade. Candidates should send all application material in a single pdf or zip file to Viktoria Schildhammer ([log in to unmask]). The recommendation letters should be sent by the reviewers directly to Viktoria Schildhammer ([log in to unmask]). Deadline: 01.11.2022 Knowledge of German is an asset, but not required. The University of Vienna is an equal opportunity employer and aims at increasing the number of female faculty members. Therefore, in particularly, qualified women are encouraged to apply. Information about the Research Network "Data Science @ Uni Vienna" can be found at https://datascience.univie.ac.at. If you need further information regarding the position, please, contact Professor Nikolaus Hautsch ([log in to unmask]) ------------------------------------------------------- From: Kim Batselier [log in to unmask] Date: September 26, 2022 Subject: PhD Position, Probabilistic Tensor Methods, TU Delft, The Netherlands The Delft Tensor AI Lab at the Delft University of Technology offers a 4-year PhD position on probabilistic tensor methods for sustainable AI. The research in this PhD project will be on developing a new theory to make learning models from data sustainable. The key idea of this theory is to significantly compress model parameters with a novel technique: tensor networks. By exploiting correlations tensor networks can capture relevant information such that only a fraction of the original model parameters is required. The focus of this PhD project will be on developing theory for learning kernel machines (support vector machines, Gaussian processes, &) with tensor networks and by using a Bayesian inference approach. To find more information and apply online, please visit https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?jobId=8446&jobTitle=PhD%20Position%20Probabilistic%20Tensor%20Methods ------------------------------------------------------- From: Ismail Adeniran [log in to unmask] Date: September 27, 2022 Subject: PhD Position, Scientific Machine Learning, Manchester Metropolitan The Centre for Advanced Computational Science in the Department of Computer Science and Mathematics at Manchester Metropolitan University is inviting applications for a fully funded 3-year PhD studentship (UK students only - successful overseas applicants will be expected to pay the difference between the home and overseas rate). The project involves the use of reinforcement learning, optimal control and computer vision techniques to understand and provide rehabilitative solutions for spinal curvature problems (scoliosis) in Spinal Muscular Atrophy (SMA). SMA is a genetic disease which affects the nerve cells in the spinal cord connecting the brain to the muscles of the body. Due to the impact of the condition on the muscles supporting the spine, almost all children with SMA develop scoliosis - a progressive curvature of the spine into an "S" shape. The overarching goal is to use a unique combination of reinforcement learning, optimal control and computer vision techniques, and algorithms to develop patient-specific, physiologically-based human skeletal models of SMA patients that reconstruct movement and deterioration patterns of patients with scoliosis. This will be used to understand how scoliosis develops/worsens and determine avenues and means for prevention and rehabilitation. You can find more details and information on how to apply here: https://www.mmu.ac.uk/research/research-study/scholarships#ai-71444-3 The deadline for application is October 21, 2022. For enquiries about the Project, please contact Dr Ismail Adeniran ([log in to unmask]). ------------------------------------------------------- From: Barbara Verfürth [log in to unmask] Date: September 27, 2022 Subject: PhD Positions, Numerical Analysis, Germany The Institute of Numerical Simulation is looking for 2 research assistants (each 75%) in the field of numerical analysis for a period of three years as soon as possible. The research group of Barbara Verfurth is interested in the design, numerical analysis and implementation of numerical methods for multiscale problems. The envisioned research aims at the development and analysis of numerical methods for nonlinear, random, and dynamical multiscale problems and is part of a project funded by the German Research Foundation (DFG). Candidates should have a Master's degree in mathematics (or closely related field) with s strong background in the theory of numerical methods for partial differential equations and numerical analysis. Some programming knowledge is highly beneficial. The Institute or Numerical Simulation covers research and teaching of numerical analysis, simulation and scientific computing. It is part of Bonn Mathematics and provides a stimulating research environment. For further information and how to apply, please see the full advertisement at https://www.uni-bonn.de/de/universitaet/medien-universitaet/medien- arbeiten-an-der-uni/medien-personalmanagement/pdfs- stellenausschreibungen-wiss.ma/32-22-331_eng.pdf or e-mail Barbara Verfurth. ------------------------------------------------------- From: Jose E Castillo [log in to unmask] Date: September 26, 2022 Subject: Prospective PhD Students Fair, ONLINE, Oct 2022 UC Irvine - San Diego State University Joint Doctoral Program in Computational Sciences Seeks Doctoral Students for Fall 2023 The Interdisciplinary Ph.D. Program in Computational Science is aimed at training scientists and engineers who will create advanced computational methods and tools to model and solve challenging problems at the intersections of scientific disciplines. The doctoral program offers coursework and research in a broad range of subjects that develop expertise in Mathematical Modeling and Scientific Computing with applications to Biological Science, Earth Science, Engineering Science, Health, Physical and/or Chemical Science. UCI and SDSU campuses are recognized as Hispanic Serving Institutions offering a welcoming and supportive environment for diverse students. Admitted graduate students are offered a range of financial assistance options while they are pursuing advanced degrees, including Teaching, Graduate, and Research Assistantships and Fellowships. Applicants with strong backgrounds in mathematics, physical, biological and geological sciences, computer science, and engineering are invited to apply. Please check our website for details regarding the doctoral program and the application process. We have 20 positions available. A virtual information session for the program will be held on October 13th, 2022 from 2:00 - 3:30 pm on Gather (https://gather.town/). To attend, please register using the link below. https://docs.google.com/forms/d/e/1FAIpQLSdZIlnEMcBwgDk9nvgFyaBGqMyDhbYE550HNWNTJrdxxYjQNg/viewform Link to the virtual space will be sent only to registered participants 2 days before the event. This will be a great opportunity to meet and interact with current students in the program, potential faculty advisors and program coordinators. ------------------------------------------------------- From: Ursula Tian [log in to unmask] Date: September 27, 2022 Subject: Call for Papers, AppliedMath, Open Access AppliedMath (ISSN: 2673-9909, https://www.mdpi.com/journal/appliedmath) is an international and peer-reviewed journal of applied mathematics, published quarterly online by MDPI. Manuscripts are peer-reviewed and a first decision is provided to authors approximately 25 days after submission. We invite researchers to contribute either a long review or research paper to be published *free of charge* in the new journal AppliedMath (the standard article processing charge is 1000 CHF). For further information please email to [log in to unmask] ------------------------------------------------------- From: Lothar Reichel [log in to unmask] Date: September 27, 2022 Subject: Contents, Electron. Trans. Numer. Anal. (ETNA), 55 J. Lampe and H. Voss, A survey on variational characterizations for nonlinear eigenvalue problems M. Bogoya, S. Serra-Capizzano, and K. Trotti, Upper Hessenberg and Toeplitz Bohemian matrix sequences: A note on their asymptotical eigenvalues and singular values A. H. Bentbib, A. Khouia, and H. Sadok, The LSQR method for solving tensor least-squares problems N. Bootland, V. Dolean, A. Kyriakis, and J. Pestana, Analysis of parallel Schwarz algorithms for time-harmonic problems using block Toeplitz matrices J. Hertrich, F. Antarou Ba, and G. Steidl, Sparse mixture models inspired by ANOVA decompositions D. Bianchi, A. Buccini, M. Donatelli, and E. Randazzo, Graph Laplacian for image deblurring M. Lupo Pasini and S. Perotto, Hierarchical model reduction driven by a proper orthogonal decomposition for parametrized advection-diffusion-reaction problems E. Dudley, A. K. Saibaba, and A. Alexanderian, Monte Carlo estimators for the Schatten p-norm of symmetric positive semidefinite matrices R. M. Asharabi and F. H. Al-Haddad, On multidimensional sinc-Gauss sampling formulas for analytic functions P. Huang and C. Liao, A decoupling finite element method with different time steps for the micropolar fluid model F. Xue, One-step convergence of inexact Anderson acceleration for contractive and non-contractive mappings J. Arf and B. Simeon, A space-time isogeometric method for the partial differential-algebraic system of Biot's poroelasticity model E. Carrier and M. T. Heath, Exploiting compression in solving discretized linear systems P. Ohm, T. A. Wiesner, E. C. Cyr, J. J. Hu, J. N. Shadid, and R. S. Tuminaro, A monolithic algebraic multigrid framework for multiphysics applications with examples from resistive MHD M. Wu and C. Li, Modulus-based circulant and skew-circulant splitting iteration method for the linear complementarity problem with a Toeplitz matrix T. R. Cameron and S. Graillat, On a compensated Ehrlich-Aberth method for the accurate computation of all polynomial roots D. R. Jandrlic, D. M. Krtinic, Lj. V. Mihic, A. V. Pejcev, and M. M. Spalevic, Error bounds for Gaussian quadrature formulae with Legendre weight function for analytic integrands M. Schweitzer, Decay bounds for Bernstein functions of Hermitian matrices with applications to the fractional graph Laplacian C. Greif, Structured shifts for skew-symmetric matrices A. Binder, O. Jadhav, and V. Mehrmann, Error analysis of a model order reduction framework for financial risk analysis N. Guglielmi and V. Mehrmann, Computation of the nearest structured matrix triplet with common null space K. M. Soodhalter, A note on augmented unprojected Krylov subspace methods D. Simonova and P. Tichy, When does the Lanczos algorithm compute exactly? M. Ramezani, R. Mokhtari, and G. Haase, Analysis of stability and convergence for L-type formulas combined with a spatial finite element method for solving subdiffusion problems G. Barbarino, C. Garoni, M. Mazza, and S. Serra-Capizzano, Rectangular GLT sequences L. Meng, A contribution to the conditioning of the mixed least-squares scaled total least-squares problem K. Kumar Pandey and P. Veedu Viswanathan, Multivariate fractal interpolation functions: Some approximation aspects and an associated fractal interpolation operator X. Zheng and H. Wang, A time-stepping finite element method for a time-fractional partial differential equation of hidden-memory space-time variable order K. Atkinson, D. Chien, and O. Hansen, Constructing diffeomorphisms between simply connected plane domains A. El Haman Abdeselam, A. Napov, and Y. Notay, Porting an aggregation-based algebraic multigrid method to GPUs M. Gonzalez and H. Varela, A posteriori error estimates for stabilised mixed finite element methods for a nonlinear elliptic problem J.-P. Berrut and G. Elefante, A linear barycentric rational interpolant on starlike domains J. C. Garay, F. Magoules, and D. B. Szyld, Synchronous and asynchronous optimized Schwarz methods for Poisson's equation in rectangular domains ------------------------------------------------------- From: Irena Lasiecka [log in to unmask] Date: September 28, 2022 Subject: Contents, Evolution Equations and Control Theory, 11 (6) Volume 11, Nr 6 of EECT [Evolution Equations and Control Theory] has been published. The content is given below. https://www.aimsciences.org/journal/A0000-0000/2022/11/6 1. A shape optimization problem constrained with the Stokes equations to address maximization of vortices, John Sebastian Simon and Hirofumi Notsu 2.The influence of the physical coefficients of a Bresse system with one singular local viscous damping in the longitudinal displacement on its stabilization, Mohammad Akil and Haidar Badawi 3. Invariant measure for neutral stochastic functional differential equations with non-Lipschitz coefficients, Andriy Stanzhytsky, Oleksandr Misiats and Oleksandr Stanzhytskyi 4. Blow-up of solutions to semilinear wave equations with a time- dependent strong damping, Ahmad Z. Fino and Mohamed Ali Hamza 5.From low to high-and lower-optimal regularity of the SMGTJ equation with Dirichlet and Neumann boundary control, and with point control, via explicit representation formulae, Roberto Triggiani and Xiang Wan 6. Exponential stability and stabilization of fractional stochastic degenerate evolution equations in a Hilbert space: Subordination principle, Arzu Ahmadova, Nazim I. Mahmudov and Juan J. Nieto 7.Blow-up of solutions to a viscoelastic wave equation with nonlocal damping, Donghao Li, Hongwei Zhang, Shuo Liu and Qingiyng Hu 8. Controller and asymptotic autonomy of random attractors for stochastic p-Laplace lattice equations, Li Song, Yangrong Li and Fengling Wang 9. Pullback attractors for weak solution to modified Kelvin-Voigt model, Mikhail Turbin and Anastasiia Ustiuzhaninova 10. Impulsive conformable fractional stochastic differential equations with Poisson jumps, Hamdy M. Ahmed 11. Attractors for a class of extensible beams with strong nonlinear damping, Eduardo Henrique Gomes Tavares and Vando Narciso 12. On analytic semigroup generators involving Caputo fractional derivative, Piotr Grabowski 13. Optimal control of mixed local-nonlocal parabolic PDE with singular boundary-exterior data, Jean-Daniel Djida, Gisele Mophou and Mahamadi Warma 14. Telegraph systems on networks and port-Hamiltonians. b. Explicit representation and long-term behaviour, Jacek Banasiak and Adam BBoch 15. Well-posedness and stability of non-autonomous semilinear input- output systems, Jochen Schmid 16. Boundedness of solutions in a quasilinear chemo-repulsion system with nonlinear signal production, Runlin Hu, Pan Zheng and Zhangqin Gao 2021 Impact Factor: 1.169 5 Year Impact Factor: 1.294 2021 CiteScore: 2 ------------------------------------------------------- End of Digest **************************