[External Email] Subject: NA Digest, V. 20, # 34 NA Digest Sunday, September 06, 2020 Volume 20 : Issue 34 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: Numerical Methods for Fractional-Derivative Problems, ONLINE, Oct 2020 Low-Rank Models and Applications, Belgium, Jun 2021 Research Assistant Position, WIAS, Germany Postdoc Position, Digital Twin Project, EPFL, CH Postdoc Position, ROM for Time-Dependent Problems, EPFL Postdoc Position, Scientific Machine Learning, EPFL, CH PhD Position, Optimization, Humboldt Univ Berlin PhD Position, WIAS, Germany 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: Martin Stynes [log in to unmask] Date: September 04, 2020 Subject: Numerical Methods for Fractional-Derivative Problems, ONLINE, Oct 2020 The 4th Conference on Numerical Methods for Fractional-Derivative Problems, a continuation of the annual meetings held at Beijing Computational Science Research Center in 2017-2019, was postponed from June 2020. It will now be held online on 22-24 October 2020. This year's conference, in addition to focusing on fractional derivative problems, will include a few talks on the closely-related area of inverse problems. Main Speakers: Bangti Jin (UK), Natalia Kopteva (Ireland), Abner Salgado (USA), Masahiro Yamamoto (Japan). There are also several distinguished Invited Speakers. Registration for the conference is free of charge, but it is necessary to register by 8 October to gain access to the conference talks. If you wish to give a Contributed Talk (25 minutes) at the conference, submit a title and abstract by 1 October. All information (registration, abstract submission, etc.) is at the conference webpage http://www.csrc.ac.cn/en/event/workshop/2020-01-10/103.html ------------------------------------------------------- From: Nicolas Gillis [log in to unmask] Date: September 01, 2020 Subject: Low-Rank Models and Applications, Belgium, Jun 2021 The 2021 Workshop on Low-Rank Models and Applications (LRMA) will take place from 28-29 June 2021 at the University of Mons, Belgium. The LRMA workshop is sponsored by the European Research Council (ERC), and offers a vibrant and intimate venue for interaction between researchers from fields such as computer science, information theory, mathematics and signal processing. The scientific program of the LRMA workshop will include invited plenary lectures, as well as regular contributed talks and posters. The plenary speakers are: Jerome Bobin (CEA Saclay), Eric Chi (North Carolina State University), Emilie Chouzenoux (Inria Saclay), Lieven De Lathauwer (KULeuven), Nicolas Dobigeon (IRIT/INP-ENSEEIHT, Universite de Toulouse), Kejun Huang (University of Florida), Yuji Nakatsukasa (University of Oxford), and Nelly Pustelnik (CNRS, ENS Lyon). All the information can be found on the following website:https://sites.google.com/view/lrma21/ ------------------------------------------------------- From: Heike Sill [log in to unmask] Date: September 02, 2020 Subject: Research Assistant Position, WIAS, Germany At WIAS in the research group "Interacting Random Systems" (Head: Prof. Dr. W. Konig) at the next possible date three positions as Research Assistant (f/m/d) (Ref. 20/15). To be occupied. The successful candidates will analyze large interacting random systems using probabilistic methods within the newly established DFG priority program SPP 2265 "Random Geometric Systems" (https://www.wias-berlin.de/projects/SPP2265/). The main research topics of these positions are phase transitions during coagulation and condensation. The third position is financed from other funds and offers more thematic flexibility within the research group and organizational responsibility. A completed scientific university degree (master or diploma) is expected as well as a doctorate (or comparable experience) in mathematics or a closely related field. experience in the fields of random point processes, large deviations or statistical physics and phase transitions will strengthen your application. See here for more information: https://short.sg/j/7609179 ------------------------------------------------------- From: Jan S Hesthaven [log in to unmask] Date: September 01, 2020 Subject: Postdoc Position, Digital Twin Project, EPFL, CH In the framework of an exciting industrial grant between Prof. Jan Hesthaven's group at EPFL and the Morocco based global mining company OCP, we are looking for a postdoctoral computational scientist/applied mathematician to work at EPFL on project that seeks to build a digital twin of a critical mining asset to enable predictive maintenance and operational optimization. The project involves a close collaboration with Akselos to provide an efficient computational backend to drive the digital twin. Akselos is an MIT spin-off that is providing a revolutionary new reduced order modeling approach for large-scale engineering simulations. Akselos headquarters are located on the EPFL campus. Job description: The successful candidate will join a project focusing on demonstrating digital twin technology for a real mining asset. This includes not only the development of an accelerated model, developed in collaboration with Akselos, but also sensor data integration and decision support under uncertainty. Focus will be on time-dependent problems. A PhD in mathematics, mechanical engineering or related topics; Experience with model order reduction techniques; Experience with Finite Element Methods (FEM); C++ and/or Python expertise; Some experience with machine learning for classification is a plus; Experience with open source C++ FEA or CFD libraries is a plus (e.g. libMesh, Deal.II, DUNE, OpenFOAM, PETSc, etc); Experience with methods for time-dependent problems is a plus. The project is a collaborative project so strong interpersonal and communication skills are required. Working language is English. There may be some teaching responsibilities at EPFL as part of the position. We offer a 1 year contract with the possibility of an extension, a dynamic and inspiring working environment, and a competitive salary. A start date of November 1, 2020 is preferred but this is negotiable. To express your interest, please send a letter of motivation, a resume, and at least 2 names of references to [log in to unmask] Evaluation of applications will begin late September and continue until the position is filled. ------------------------------------------------------- From: Jan S Hesthaven [log in to unmask] Date: September 01, 2020 Subject: Postdoc Position, ROM for Time-Dependent Problems, EPFL In the framework of an exciting industrial grant between Prof. Jan Hesthaven's group at EPFL and the company Akselos, we are looking for a postdoctoral computational scientist/applied mathematician to work at EPFL on R&D problems that are relevant to Akselos customers. Akselos is an MIT spin-off that is providing a revolutionary new reduced order modeling approach for large-scale engineering simulations. Akselos has five main offices around the world with headquarters located on the EPFL campus. Job description: The component-based reduced basis technology combines the strengths of domain decomposition and model reduction techniques in order to reach unprecedented simulation speed (around 1000 times faster than traditional finite element methods). The successful candidate will join a 2 year project focused on extending the current technology to time-dependent problems applied to large-scale wind turbine applications. The ideal candidate will have the following skills: A PhD in mathematics, mechanical engineering or related topics; Experience with model order reduction techniques; Experience with Finite Element Methods (FEM); C++ and/or Python expertise; Experience with open source C++ FEA or CFD libraries is a plus (e.g. libMesh, Deal.II, DUNE, OpenFOAM, PETSc, etc); Experience with methods for time-dependent problems is a plus. The project is a collaborative project so strong interpersonal and communication skills are required. Working language is English. There may be some teaching responsibilities at EPFL as part of the position. We offer a 1 year contract with the possibility of an extension, a dynamic and inspiring working environment, and a competitive salary. A start date of November 1, 2020 is preferred but this is negotiable. To express your interest, please send a letter of motivation, a resume, and at least 2 names of references to [log in to unmask], or [log in to unmask] Evaluation of applications will begin late September and continue until the position is filled. ------------------------------------------------------- From: Jan S Hesthaven [log in to unmask] Date: September 01, 2020 Subject: Postdoc Position, Scientific Machine Learning, EPFL, CH We are looking for a postdoctoral computational scientist/applied mathematician to join the Chair of Computational Mathematics and Simulation Science, lead by Prof Jan S Hesthaven, to work in the area of scientific machine learning. Current activities focus on the development of collaborative modes of interaction between modern computational methods and recent machine learning techniques, in particular based on neural networks. Such developments seek to overcome known algorithmic bottlenecks or enable entirely new ways of solving problems of relevance to science and engineering. The postdoctoral fellow is expected to engage in different projects in line with the above vision. The ideal candidate will have the following skills: A PhD in mathematics, mechanical engineering or related topics; Experience with model order reduction techniques; Experience with modern computational methods for solving PDEs; Good programming skills. The effort is of a collaborative nature so strong interpersonal and communication skills are required. Working language is English. There will be some teaching responsibilities at EPFL as part of the position. We offer a 1 year contract with the possibility of an extension, a dynamic and inspiring working environment, and a competitive salary. A start date of January 1, 2021 is preferred but this is negotiable. To express your interest, please send a letter of motivation, a resume, and at least 2 names of references to [log in to unmask] Evaluation of applications will begin late September and continue until the position is filled. ------------------------------------------------------- From: Axel Kroener [log in to unmask] Date: September 05, 2020 Subject: PhD Position, Optimization, Humboldt Univ Berlin Job Description: PhD position in the research project 'Equilibria for Energy Markets with Transport' (Cluster of Excellence MATH+); the research will concentrate on modeling, analytic, optimization and numerical aspects of generalized Nash equilibrium problems with partial differential equation constraints. Requirements: A completed university degree in mathematics or a related discipline (preferably with very good results); Knowledge of partial differential equations, continuous optimization and applied functional analysis; Experience in the field of numerical and computer-aided implementation; a high proficiency in spoken and written English For further information see: http://www.mathplus.de/ oder https://wias- berlin.de/people/hintermueller/ Please send your application until September 23, 2020 and quoting the reference number DR/146/20 to Humboldt-Universitat zu Berlin, Faculty of Mathematics and Natural Sciences, Department of Mathematics, Prof. Dr. Michael Hintermuuller (located: Rudower Chaussee 25, Berlin-Adlershof), Unter den Linden 6, 10099, or preferably in electronic form to [log in to unmask] (cc to [log in to unmask]). ------------------------------------------------------- From: Heike Sill [log in to unmask] Date: September 03, 2020 Subject: PhD Position, WIAS, Germany WIAS invites applications for a PhD Student Position (f/m/d) (Ref. 20/17) in the Research Group "Laser Dynamics" (Head: PD Dr. Uwe Bandelow) starting at the earliest possible date. Preconditions: A completed scientific university education in the field of physics or mathematics with good grades. Ability to work on a theoretical project. Experience with Maxwell equations, modeling of optical systems, or nonlinear dynamics is an advantage. Experience with models based on partial differential equations and their numerical treatment. Provable knowledge of, e.g., Matlab, Python, C/C++, Mathematica is an advantage. Good English skills and willingness for a research stay in Australia. The successful candidate will work on theory of short pulses and solitons propagating in optical fibers. This project is part of a collaboration between WIAS and the Institute of Photonics and Optical Science at the University of Sydney. The initial appointment is for two years with the possibility of extension. The reduced work schedule (75 %) is 29.25 hours per week, and the salary is according to the German TVoeD scale. Please direct your queries to Priv.-Doz. Dr. Uwe Bandelow ([log in to unmask]). The Institute aims to increase the proportion of women in this field, so applications from women are particularly welcome. Among equally qualified applicants, disabled candidates will be given preference. Please upload complete application documents including Cover letter, Curriculum vitae, Photocopies of certificates and transcript of grades, Diploma/Master thesis, published papers/conference proceedings, Any other documents that can strengthen your application and proof the required skills via our website or via our online job-application facility using the button "Apply online". The search for a qualified candidate will start immediately and continue until the position is filled. See here for more information: https://short.sg/j/7630089 ------------------------------------------------------- End of Digest **************************