Subject: NA Digest, V. 19, # 38 NA Digest Sunday, October 06, 2019 Volume 19 : Issue 38 Today's Editor: Daniel M. Dunlavy Sandia National Labs dmdunla@sandia.gov Today's Topics: Correction, Call for Proposals to Organize 2023 Householder Symposium Eurasian Association on Inverse Problems (EAIP) Young Scientist Award Release of the ExaHyPE engine for solving hyperbolic PDE systems Solution Methods for Fractional PDEs, Bulgaria, Jun 2020 Minitutorial Deadline, SIAM CSE21, USA, Mar 2021 Professor Position, Algebra, Univ of Graz Tenure Track Assistant/Associate Professor Position, Applied Math, WPI Tenure-Track Position, Scientific Computing, Florida State Univ Lectureship Position, Applied & Computational Mathematics, Univ Edinburgh Assistant Professor Position, Comp Applied Statistics/Mathematics, Boise State Assistant Professor & Postdoc Position, Univ of California, Davis Postdoc Position, Quantum Control, Lawrence Livermore National Lab Postdoc Position, Sao Carlos, Brazil Postdoc Position, Scientific Computing and Machine Learning, Simula, Norway Postdoc Position, Statistics, Sao Carlos, Brazil Postdoc Positions, Sea ice modeling, NYU Courant Institute PhD or PostDoc Position, Data Assimilation, Univ of Bayreuth PhD Position, Computational Mathematics, Hamburg Univ of Technology PhD Position, Linear Algebra and Graph Theory for Cyber PhD Position, NA and Simulation, Univ of Groningen, Netherlands PhD Position, Numerical Modelling of Weather & Climate, Univ of Exeter PhD Position, Scientific Computing and Machine Learning, Univ of Oslo PhD positions, Cadiovascular Modeling and Inverse Problems Contents, Numerical Algorithms, 82 (2) Subscribe, unsubscribe, change address, or for na-digest archives: http://www.netlib.org/na-digest-html/faq.html Submissions for NA Digest: http://icl.utk.edu/na-digest/ ------------------------------------------------------- From: Heike Fassbender h.fassbender@tu-braunschweig.de Date: September 30, 2019 Subject: Correction, Call for Proposals to Organize 2023 Householder Symposium Unfortunately, in the last post concerning the call for proposals to organize the 2023 Householder Symposium there was a typo in the URL. The correct URL can be found below. The Householder Committee seeks a team to organize the 2023 Householder Symposium on Numerical Linear Algebra. The deadline for submitting a proposal is 1 April 2020. Guidelines for preparing a proposal and a link for uploding the proposal can be found at: https://users.ba.cnr.it//iac/irmanm21/HHXXI/Application_HH_symposium.html Additional questions can be sent to: Heike Fassbender (h.fassbender@tu-bs.de) Chair, Householder Committee Please note: Proposals by professional congress and convention bureaus will not be considered. No contact information about local members of our community will be provided. ------------------------------------------------------- From: Min Hadler min.hadler@univie.ac.at Date: September 30, 2019 Subject: Eurasian Association on Inverse Problems (EAIP) Young Scientist Award Nominations for the EAIP Young Scientist Award are open The Eurasian Association on Inverse Problems (EAIP) Young Scientist Award is awarded to young scientists under the age of 40 at the time of the "Inverse Problems: Modeling and Simulation" conference, May, 24th - May, 30th, 2020 in Malta. The EAIP Young Scientist Award recognizes outstanding achievements in inverse problems analysis and its applications. Candidates for the awards may be nominated by their organizations as well as may apply themselves. Nomination materials (Cover Letter and CV including a complete list of publications) should be submitted via email to the Conference Secretariat (ipmsconference@gmail.com) with a CC to Otmar Scherzer (otmar.scherzer@univie.ac.at). The deadline for nominations is March, 23rd, 2020. ------------------------------------------------------- From: Michael Bader bader@in.tum.de Date: October 02, 2019 Subject: Release of the ExaHyPE engine for solving hyperbolic PDE systems Release of the ExaHyPE engine for solving hyperbolic PDE systems - www.exahype.org ExaHyPE is an open source simulation engine to solve hyperbolic PDE systems using high-order ADER-DG discretisation. It is built on top of dynamically adaptive meshes and a customisation engine to yield efficient parallel code. ExaHyPE is written in a way that most computer science aspects as well as most of the numerics are hidden away from the user. Users plug in their PDE formulation (as flux and eigenvalues) into the engine and then delegate all further work to ExaHyPE. Snapshots of the engine source code can be downloaded from www.exahype.org. Access to the engine repository is granted after registration on the website. The engine comes with a User Guide and several reference examples. For details on the engine, see our preprint article on https://arxiv.org/abs/1905.07987 ------------------------------------------------------- From: Svetozar Margenov margenov@parallel.bas.bg Date: October 02, 2019 Subject: Solution Methods for Fractional PDEs, Bulgaria, Jun 2020 The International Workshop "Numerical Solution of Fractional Differential Equations and Applications" (NSFDE&A'20) will take place in June 8 - 13, 2020, Sozopol, Bulgaria: http://parallel.bas.bg/Conferences/NSFDE&A_2020-Sozopol.pdf Organizer: The workshop is organized by the Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, in cooperation with the Bulgarian Section of SIAM, and the Center of Excellence on Informatics and ICT. Place: The NSFDE&A'20 will be held in Sozopol (ancient Apolonia), a picturesque town on the Black Sea coast, 33 km to the south from Bourgas. The Bourgas International Airport is less than 50 km to the north from Sozopol. Scope: Specific topics of interest (but not limited to) are the following: (i)fractional in space diffusion problems;(ii) fractional in time problems; (iii) problems involving p-Laplacian; (iv) coupled problems; (v) phase separation and image segmentation; (vi) parallel algorithms and HPC tools; (vii) applications in science and engineering. Conference chairman: Svetozar Margenov Conference secretary: Silvia Grozdanova E-mail: nsfdea20@parallel.bas.bg ------------------------------------------------------- From: Stefan Wild wild@mcs.anl.gov Date: October 04, 2019 Subject: Minitutorial Deadline, SIAM CSE21, USA, Mar 2021 SIAM is seeking proposals for minitutorials to be conducted at the SIAM Conference on Computational Science and Engineering (CSE21), March 1-5, 2021 in Ft. Worth, TX, USA. A minitutorial offers attendees a great opportunity to learn in a hands-on fashion from experts, and is a good way to raise the visibility of new projects and topics. Subjects of recent minitutorials at SIAM CSE have included numerical libraries (libMesh, PETSc, PRIMME), simulation tools (Firedrake, MOOSe), as well as general productivity tools and best practices (git, licenses, productivity & sustainability, etc.). Proposals are encouraged for minitutorials on any topic relevant to research in computational science and engineering. Suggested areas include the themes listed at https://www.siam.org/conferences/cm/conference/cse21. For additional details and to submit a proposal, please go to https://forms.gle/Mo2TuxnKeDD74AEa8 . The deadline for submission is December 13, 2019. For questions, please contact Richard Moore , SIAM Director of Programs and Services. Sincerely, The SIAM CSE21 Organizing Committee ------------------------------------------------------- From: Vanessa Peinhart vanessa.peinhart@uni-graz.at Date: October 02, 2019 Subject: Professor Position, Algebra, Univ of Graz At the Institute of Mathematics and Scientific Computing at the Faculty of Natural Sciences, the University of Graz is seeking to appoint a Professor of Algebra (40 hours per week; selection procedure in accordance with Section 99 (1) of the Universities Act (UG); fixed-term employment according to the Salaried Employees Act (AngG) until 30.09.2023; expected starting date December 1st 2019; Substitute worker). The future post holder should represent the field of algebra in research and teaching and be internationally recognised by outstanding research results. We are looking for a personality with a research focus on a current branch of algebra who will be able to connect with the existing research group 'Algebra and Number Theory' at the Institute of Mathematics and Scientific Computing. The successful candidate is expected to participate appropriately in the teaching functions of the institute. In particular, it is necessary to contribute to the teacher training programme and in the master's programm 'Mathematics', which is jointly organised with the Graz Universiy of Technology. Application deadline: November 6th 2019 Reference number: VV/13/99 ex 2018/19 Your application documents should include the reference number of the position and be sent by email to: bewerbung.professur@uni-graz.at See also: jobs.uni-graz.at/en/VV/13/99 . ------------------------------------------------------- From: Marcus Sarkis msarkis@wpi.edu Date: October 03, 2019 Subject: Tenure Track Assistant/Associate Professor Position, Applied Math, WPI The Department of Mathematical Sciences at Worcester Polytechnic Institute invites applications for a tenure-track position at the assistant or associate professor level, to begin in the Fall of 2020. We seek candidates in all areas of Applied Mathematics, in its broadest interpretation, whose research interests are a good fit with the department. A list of current faculty, along with their research areas can be found at https://www.wpi.edu/academics/departments/mathematical-sciences/faculty-staff. The successful applicant is expected to develop a robust, externally funded, high-profile research program, while at the same time contributing to the educational mission of the Mathematical Sciences Department. Applicants should have a Ph.D. in Mathematics, or a closely related field, and should submit a cover letter that explains how they see their research fitting with the department, a detailed curriculum vitae, statements of specific research and teaching objectives, and at least four letters of recommendation, one or more of which addresses teaching experience or potential. All material should be submitted via MathJobs. Questions about the mathematical sciences department can be directed to ma-chair@wpi.edu. The review process will start on November 1, 2019 and will continue until the position is filled. We are an Equal Opportunity Employer and do not discriminate against applicants due to race, color, religion, age, sex, sexual orientation, gender identity, national origin, veteran status or disability. We are looking for individuals who value creativity, diversity, inclusion, and collaboration. Marcus Sarkis, Professor Mathematical Sciences Department Worcester Polytechnic Institute 100 Institute Road Worcester, MA 01609-2280 www.wpi.edu/~msarkis E-mail: msarkis at wpi dot edu ------------------------------------------------------- From: Bryan Quaife bquaife@fsu.edu Date: October 01, 2019 Subject: Tenure-Track Position, Scientific Computing, Florida State Univ The Department of Scientific Computing is seeking a Full time Tenure-track 9-month Faculty appointment beginning August 2020. Academic year requirements include teaching, research and service. The Department is seeking candidates with a doctoral degree from an accredited institution or the highest degree appropriate in the field of Computational Science, Computer Science, Mathematics, Statistics, or a related field with a demonstrated record of achievement in teaching, academic research, and service. Preferred applicant would possess a high potential for establishing a funded program of interdisciplinary research in data science/machine learning, broadly interpreted. In particular, the candidate should have knowledge and experience in some combination of deep learning, Bayesian statistical inference, probabilistic modeling, or optimization, applied to one or more applications such as natural language processing, image processing, and the material, chemical, physical, biological, and social sciences. If qualified and interested in a specific Faculty job opening as advertised, apply to Florida State University at https://jobs.fsu.edu Job Opening ID 46364. If you are a current FSU employee, apply via myFSU > Self Service. Applicants are required to complete the online application with all applicable information. Applications must include education details even if attaching a Vita. Please submit your cover letter, CV, statements of teaching philosophy, research, and service as a single PDF. Application Deadline will be December 16th with anticipated start beginning Fall Semester 2020. Committee will begin reviewing applications October 15, 2019. This position requires that you have four confidential professional letters of recommendation submitted on your behalf. Follow the steps below to request these letters through our system: 1) After submitting your application, click the Return to Job Search link; 2) Click the My References link; 3) Click the Send/View Reference Request button next to the appropriate position; and 4) Follow the steps on that page to send your references a system generated email requesting they submit a letter of recommendation on your behalf. You may also return to the My References link and click on "Send/View Reference Request" to see if your references have responded, add additional references, or resend requests. Job aid for the Letters of Recommendation module: http://hr.fsu.edu/PDF/publications/training/ObtainingAndReviewingLettersOfReference.pdf An Equal Opportunity/Access/Affirmative Action/Pro Disabled & Veteran Employer. FSU's Equal Opportunity Statement can be viewed at: http://www.hr.fsu.edu/PDF/Publications/diversity/EEO_Statement.pdf Questions may be directed to Dr. Xiaoqiang Wang, at wwang3@fsu.edu ------------------------------------------------------- From: John Pearson j.pearson@ed.ac.uk Date: October 02, 2019 Subject: Lectureship Position, Applied & Computational Mathematics, Univ Edinburgh Lectureship positions in Applied and Computational Mathematics are open at the University of Edinburgh for a start on 1 July 2020 or earlier by agreement. We are seeking candidates with a track record of high-quality research in areas relating to mathematical modelling and/or computational mathematics. Links to industry or commerce and/or the ability to engage with multidisciplinary partners are desirable. As well as carrying out high- quality research, the successful candidate will contribute to the teaching of undergraduate and postgraduate courses, and to the development of the MAC-MIGS Centre for Doctoral Training. See https://TinyURL.com/yy2s6q6x for details. Deadline is 05/11/2019 at 5 pm GMT. ------------------------------------------------------- From: Jodi Mead jmead@boisestate.edu Date: October 01, 2019 Subject: Assistant Professor Position, Comp Applied Statistics/Mathematics, Boise State The Department of Mathematics at Boise State University invites applications for a tenure-track position in computational applied statistics or mathematics at the rank of assistant professor starting in fall 2020. Applicants should have strong research potential in statistical computing, optimization, numerical linear algebra or related field with connections to data-driven applications. Boise State's innovative transdisciplinary approach to research and education has driven its success as a metropolitan research university of distinction. Mathematics in particular leads data science efforts at both the undergraduate and graduate levels. Boise, Idaho is ranked by US News as the 4th safest city in the United States. It has a vibrant downtown, abundant recreational opportunities, pleasant weather, and the Milken Institute ranks it as the 12th best performing economy in the US. If you are interested in this position, materials must be submitted electronically via https://www.mathjobs.org and Boise State's application system https://tinyurl.com/y53qhmj9 by November 30th. ------------------------------------------------------- From: Naoki Saito saito@math.ucdavis.edu Date: September 30, 2019 Subject: Assistant Professor & Postdoc Position, Univ of California, Davis The Department of Mathematics at the University of California, Davis, and the UC Davis TETRAPODS Institute of Data Science (UCD4IDS), funded by the NSF HDR TRIPODS grant, are soliciting applications for the Arthur J. Krener Assistant Professor / UCD4IDS research postdoc position starting July 1, 2020. The Department and the Institute seek applicants who demonstrate promise and the capability of developing cutting edge computational, mathematical, and/or statistical methodology pertaining to modern areas of data science that involve large and complex data, as well as effective teaching skills. In particular, those candidates whose research interests are in the following three broad themes of the Institute are strongly encouraged to apply: 1) Fundamentals of machine learning directed toward biological and medical applications; 2) Optimization theory and algorithms for machine learning including numerical solvers for large-scale nontrivial learning problems; 3) High-dimensional data analysis on graphs and networks. Applicants are required to have completed their Ph.D. by the time of their appointment, but no earlier than July 1, 2016. The annual salary is $70,100. Appointments are renewable for a total of up to three years, upon demonstration of satisfactory performance in research and teaching. The teaching load is 2 quarter-long courses for the first two years, and 4 quarter-long courses for the final third year. Applications include: Cover Letter, CV, Research Statement, Teaching Statement, Letters of Reference including a letter which addresses teaching, and an optional Statement of Contributions to Diversity. Additional information about the department may be found at http://www.math.ucdavis.edu. Applications will be accepted until the position is filled. To guarantee full consideration, the application should be received by November 30, 2019. The application is available through UCRecruit at https://recruit.ucdavis.edu/JPF03186/. The University of California, Davis, is an affirmative action/equal opportunity employer with a strong institutional commitment to the achievement of diversity among its faculty and staff. ------------------------------------------------------- From: Anders Petersson petersson1@llnl.gov Date: October 04, 2019 Subject: Postdoc Position, Quantum Control, Lawrence Livermore National Lab We have an opening for a postdoctoral researcher in the area of high-performance computing (HPC) for quantum optimal control and characterization. You will be part of an interdisciplinary team that develops HPC solvers for the Schrodinger and Lindblad equations to be used within optimization algorithms. These solvers will be used to determine signals for controlling and characterizing the next generation of quantum computing hardware. We are looking for exceptional candidates with a strong background in numerical linear algebra, differential equations, numerical optimization, and C++ programming. For further information, please visit: http://careers-llnl.ttcportals.com/jobs/4642720-postdoctoral-research-staff-member This position is within the Computing Directorate, Center for Applied Scientific Computing (CASC) Division. ------------------------------------------------------- From: Jose A Cuminato jacuminato@gmail.com Date: October 02, 2019 Subject: Postdoc Position, Sao Carlos, Brazil The Research Project Coordinated by Prof. Francisco Louzada Neto, funded by ANP/Petrobras, seeks a Postdoc candidate with an engineering degree in the areas of Mechanics, Mechatronics or Electrical, and a doctorate in the areas of Finite Elements and/or Thermofluidodynamics. Familiarity with two-phase flows and OpenFOAM-like computer packages will be greatly appreciated. The work to be carried out in Sao Carlos- Brazil, is a joint appointment at the Institute of Mathematical and Computer Sciences and the School of Engineering of University of Sao Paulo, involves simulating the operation of valves, fluid-structure interaction and thermo-fluid-dynamics for oil pipelines hydrate and paraffin melting. These simulations will be used by the risk analysis team to predict defects in duct clearance equipment and leak containment valves. The scholarship, with a duration of one year, renewable annually for two more, depending on performance analysis. Air travel to and from Brazil will be provided for non- residents. The contract is expected to begin at 01/01/2020, or earlier if the candidate is available. To apply send Curriculum Vitae and access to the doctoral thesis to Prof. Oscar Rodriguez from EESC Sao Carlos until 30/10/2019. Email oscarmhr@sc.usp.br ------------------------------------------------------- From: Simon Funke simon@simula.no Date: October 06, 2019 Subject: Postdoc Position, Scientific Computing and Machine Learning, Simula, Norway At Simula, we are a hotbed of Information and Communication Technology innovators. Introverts and extroverts alike, we are curious searchers - thinkers and doers, who share one ambitious goal: to create knowledge that truly benefits and advances society. Knowledge that moves us forward and makes us - all of us - stronger. Healthier. Safer. Better. We are searching for a highly motivated candidate with a strong background in computational science (mathematics/physics) and a passion to work on the intersection between scientific computing and machine learning. The 3-year Postdoctoral position is part of the SciML - Scientific Computing & Machine Learning project, a collaborative initiative between the Simula Research Laboratory and Department of Mathematics UiO. The initiative aims to bridge numerical algorithms developed for solving partial differential equations with recent techniques in machine learning, in order to both increase the flexibility of traditional numerical algorithms (such as finite element methods and multigrid techniques) and also to increase robustness for neural networks. Applications in focus are for example recent medical findings relating development of Alzheimer's disease. The fluid dynamical clearance of metabolic waste during sleep. More information and application instructions can be found at: https://www.simula.no/about/job/postdoc-position-bridging-scientific-computing-and- machine-learning ------------------------------------------------------- From: Francisco Louzada louzada@icmc.usp.br Date: October 04, 2019 Subject: Postdoc Position, Statistics, Sao Carlos, Brazil The Research, Innovation and Dissemination Center for Mathematical Sciences Applied to Industry (CeMEAI), hosted by the University of Sao Paulo, Brazil, and funded by FAPESP (Sao Paulo Research Foundation, Brazil) is offering a 1-year post-doctoral fellowship for candidates with outstanding research potential. This position is focused on the study of posteriori properties in Bayesian regression models and applications in large and complex industrial and medical data. The fellow will work under the direction of Professor Francisco Louzada in the Institute of Mathematical Science and Computing at the University of Sao Paulo, Sao Carlos, Brazil. Applicants must have received, or expect to complete, a doctorate in Mathematics, Statistics or related discipline within the last 5 years. Selection criteria will include demonstrated research ability in Mathematics, Statistics or related discipline, a strong background in real analysis, integration in R^n, measure, Bayesian methodology and computation, experience with analysis of datasets, commitment to collaborative research, and excellent verbal and written communication skills. It is also desirable that the candidate has previous experience working in a multidisciplinary research group and has collaborated on research projects with companies or governmental institutions. To apply please E-mail (only PDF files) the following items to Professor Francisco Louzada at louzada@icmc.usp.br until 3rd November 2019: 1. A letter of interest, containing full contact information, year graduated and citizenship/immigration status, concisely responding to the research emphases and criteria above; 2. A CV listing educational background, research experience and publications; 3. A cover letter including names and contact information for three references (no letters please). Please indicate "CEPID Postdoc" in the subject field of the message. ------------------------------------------------------- From: Dimitris Giannakis dimitris@cims.nyu.edu Date: October 05, 2019 Subject: Postdoc Positions, Sea ice modeling, NYU Courant Institute New York University's Courant Institute is seeking up to two postdoctoral researchers to work within a new multi-institution initiative on "Mathematics and Data Science for Improved Physical Modeling and Prediction of Arctic Sea Ice'' funded by the Office of Naval Research (https://cims.nyu.edu/~dimitris/files/sea_ice_muri.pdf). The positions are jointly supervised by Dimitris Giannakis, Andrew Majda, and Georg Stadler, but will involve collaboration with project participants at Caltech, University of Washington, University of Wisconsin-Madison, and Yale. The role of the postdocs is to study fundamental mathematical aspects and data science for subgrid-scale modeling of Lagrangian sea ice dynamics. Applicants with a background in computational and applied mathematics, data science, and sea ice modeling are encouraged to apply. The postdoc positions come with no teaching requirement (although teaching is available as an option), and have a flexible start date. The initial appointment will be for two years, with the possibility of an extension depending on performance and funding. Applications submitted before November 30, 2019 will receive full consideration, but the search will remain open until the positions are filled. Please contact dimitris@cims.nyu.edu for more details. Apply via Interfolio at https://apply.interfolio.com/62790 . ------------------------------------------------------- From: Jörn Sesterhenn joern.sesterhenn@uni-bayreuth.de Date: October 05, 2019 Subject: PhD or PostDoc Position, Data Assimilation, Univ of Bayreuth At the Chair of Mechanics and Fuidmechanics of the University of Bayreuth several positions (100%, German TV-L E13) are available for Postdoctoral Researchers as well as for students holding a Master's degree who want to pursue a PhD. The subject will be data assimilation of PIV, Schlieren and acoustic experiments of compressible jets at moderate Reynolds numbers. The research will be based on our own DNS and adjoint solver (Fortran) . Experiments will we done in-house using High-Speed Cameras and Highspeed PIV in an anechoic room. Candidates should have expertise in at least one of the following topics - numerical analysis for compressible flows - adjoint/convex optimisation - computational aeroacoustics Candidates should have experience in coding mathematical algorithms in Fortran, Julia or Matlab. Applications including CV, list of publications (if applicable), copies of certificates, a summary of the Master's thesis and of the PhD thesis (if applicable) and names of potential references should be sent by email as a single PDF file to joern.sesterhenn@uni-bayreuth.de. The positions are available immediately, applications are considered until the position is filled. Further information on my former website https://www.cfd.tu-berlin.de ------------------------------------------------------- From: Daniel Ruprecht ruprecht@tuhh.de Date: October 04, 2019 Subject: PhD Position, Computational Mathematics, Hamburg Univ of Technology A 4-year PhD position in Computational Mathematics is available at Hamburg University of Technology, Germany. Its focus is the development of a new numerical time stepping algorithm for computer simulations of atmospheric flows. Please visit the following link for details and to apply https://stellenportal.tuhh.de/jobposting/8d1df19aaa6345022eead1478f1e95102bcef9c60 Candidates are expected to have a university degree in a relevant subject, excellent knowledge of numerical mathematics and programming experience. The deadline for applications is 21 October 2019. ------------------------------------------------------- From: Jesse Laeuchli j.laeuchli@deakin.edu.au Date: October 05, 2019 Subject: PhD Position, Linear Algebra and Graph Theory for Cyber PhD Position-Deakin University- Centre for Cyber Security Research and Innovation The Centre for Cyber Security Research and Innovation (CSRI) at Deakin University is seeking applicants for a PhD position. The project aims to investigate the mathematics needed to build the next generation of network analytics that must operate on the massive datasets generated by modern networks. The proposed research will bring together themes from numerical linear algebra, graph theory, and cyber security. The successful applicant will have a background in mathematics or theoretical computer science. A master's degree is preferred but strong applicants with a bachelor's degree with honours will be considered. The appointment will be for three years and carries a salary of $27,596 AUD per annum (tax exempt). This base stipend rate is increased annually by Consumer Price Index (CPI) as determined by the Australian Government. Top-up scholarships for an amount of $10K to $23K per annum will be available for exceptional applicants. The position is located at Deakin University's Burwood campus in Melbourne, which has consistently been rated as one of the most liveable cities in the world. Members of Deakin's CSRI work closely with members of Deakin's math and computer science departments to produce interdisciplinary approaches to challenges in cyber security. To apply please contact Dr. Jesse Laeuchli j.laeuchli@deakin.edu.au with a CV, a transcript, and a short statement of interest. ------------------------------------------------------- From: Guanglian Li guanglian.li@rug.nl Date: October 05, 2019 Subject: PhD Position, NA and Simulation, Univ of Groningen, Netherlands I am currently recruiting one 4-year PhD student based at Bernoulli Institute, University of Groningen, Netherlands. The applicant should have an MSc degree (or equivalent) in Applied/Computational Mathematics. The candidate has to possess excellent communication skills in English, programming skills and basic knowledge on numerical analysis and PDEs. More details on the job description can be found: https://sites.google.com/s/1QGNbKCOB5- BOCsQPAhyYQfEOi7Av3Ste/p/12PNOQNMzut13ae_Lv9BbIWZ8ej24WRvd/edit Please contact Dr. Guanglian Li at lotusli0707@gmail.com if you are interested. ------------------------------------------------------- From: Dr Jemma SHipton J.Shipton@exeter.ac.uk Date: October 04, 2019 Subject: PhD Position, Numerical Modelling of Weather & Climate, Univ of Exeter Applications are open for a 3.5yr, funded PhD project at the University of Exeter, in collaboration with the UK Met Office. Next generation time stepping schemes for weather and climate prediction. Accurate, timely weather and climate forecasting strongly relies on the design of the mathematical and numerical algorithms underpinning the forecast model and the efficiency with which they exploit supercomputer hardware. Supercomputer design is undergoing a revolution driven by physical limitations on the size, and therefore speed, of processor components. This opens a 'chasm' between the forecast simulations we need to run and what is possible to run on the hardware. Future hardware will consist of vastly more, but less powerful, processors meaning that we must distribute calculations across the processors so they can be computed simultaneously, or `in parallel\371. This requires revolutionary redesign of the mathematical and numerical algorithms. An example of this is the recent UK Met Office GungHo project, motivated by parallel communication bottlenecks related to the geometry of the grid. The outcome was a new spatial discretisation using compatible finite element methods which preserve underlying properties of the equations of motion without imposing restrictions on grid geometry. However, this does not solve the parallel scalability problem inherent in spatial domain decomposition: we must find a way perform parallel calculations in the time domain. Please find further details regarding funding, eligibility and the application procedure here: http://www.exeter.ac.uk/studying/funding/award/?id=3695 ------------------------------------------------------- From: Simon Funke simon@simula.no Date: October 06, 2019 Subject: PhD Position, Scientific Computing and Machine Learning, Univ of Oslo Position as a PhD Research Fellow in mechanics available at the Department of Mathematics, University of Oslo. The fellowship period is 3 years. Starting date no later than 01.01.2020. We are searching for a highly motivated candidate with a strong background in computational science (mathematics/physics) and a passion to work on the intersection between scientific computing and machine learning. The PhD position is part of the SciML-Scientific Computing & Machine Learning project, a collaborative initiative between the Department of Mathematics, UiO and Simula Research Laboratory. The initiative aims to bridge numerical algorithms developed for solving partial differential equations with recent techniques in machine learning, in order to both increase the flexibility of traditional numerical algorithms (such as finite element methods and multigrid techniques) and also to increase robustness for neural networks. Applications in focus are for example recent medical findings relating development of Alzheimer's disease with the fluid dynamical clearance of metabolic waste during sleep. More information and application instructions are available at: https://www.jobbnorge.no/en/available-jobs/job/175914/phd-research-fellow-in-mechanics ------------------------------------------------------- From: Cristóbal Bertoglio c.a.bertoglio@rug.nl Date: October 03, 2019 Subject: PhD positions, Cadiovascular Modeling and Inverse Problems 2 PhD positions on Cardiovascular Modeling and Inverse Problems will be available in Groningen from the beginning of 2020. More information can be found here: https://cutt.ly/Bey27Tl Please also do not hesitate to forward this email to your master students and to any colleague who may know suitable candidates. ------------------------------------------------------- From: Claude Brezinski claude.brezinski@univ-lille.fr Date: October 03, 2019 Subject: Contents, Numerical Algorithms, 82 (2) Table of Contents Numerical Algorithms, Vol. 82, No. 2 Optimal rates of linear convergence of the averaged alternating modified reflections method for two subspaces, Francisco J. Aragon Artacho, Ruben Campoy Rothe method and numerical analysis for history-dependent hemivariational inequalities with applications to contact mechanics, Stanislaw Migorski, Shengda Zeng A fully conservative block-centered finite difference method for simulating Darcy-Forchheimer compressible wormhole propagation, Xiaoli Li, Hongxing Rui, Shuangshuang Chen Coupling of boundary integral equation and finite element methods for transmission problems in acoustics, Hongrui Geng, Zhenhua Xu Robust additive block triangular preconditioners for block two-by-two linear systems, Zhao-Zheng Liang, Guo-Feng Zhang A meshfree method for solving the Monge-Ampere equation, Klaus Boehmer, Robert Schaback Numerical solutions to time-fractional stochastic partial differential equations, Guang-an Zou A modified modulus-based matrix splitting iteration method for solving implicit complementarity problems, Hua Zheng, Seakweng Vong New explicit stabilized stochastic Runge-Kutta methods with weak second order for stiff Ito stochastic differential equations, Xiao Tang, Aiguo Xiao On starting and stopping criteria for nested primal-dual iterations, Jixin Chen, Ignace Loris The quasi-boundary value method for identifying the initial value of heat equation on a columnar symmetric domain, Fan Yang, Ya-Ru Sun, Xiao-Xiao Li, Can-Yun Huang A prediction-correction-based primal-dual hybrid gradient method for linearly constrained convex minimization, Feng Ma, Yiming Bi, Bin Gao Sparse fast DCT for vectors with one-block support, Sina Bittens, Gerlind Plonka Lanczos method for large-scale quaternion singular value decomposition, Zhigang Jia, Michael K. Ng, Guang-Jing Song Solving system of inequalities via a smoothing homotopy method, Xiaona Fan, Qinglun Yan Circulant preconditioners for a kind of spatial fractional diffusion equations, Zhi-Wei Fang, Michael K. Ng, Hai-Wei Sun ------------------------------------------------------- End of Digest **************************