Subject: NA Digest, V. 19, # 48 NA Digest Monday, December 16, 2019 Volume 19 : Issue 48 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: New Self-Paced Linear Algebra Course Software Release, pyMOR 2019.2 New Book, Mathematical Modeling and Computation in Finance Structure, Regularity and Robustness in the Approximation of PDEs, Italy, Feb 2020 Sayas Numerics Day, USA, May 2020 IMA Energy Efficient Computing, UK, Jun 2020 Summer School on Kinetic Equations, Italy, Jun 2020 Tenure Track Position, CWI Scientific Computing, Amsterdam Assistant/Associate Professor Position, Applied/NA, Imperial College London Assistant Professor Positions, Univ of Bath, UK. KTU Research Technician Position, Applied Statistics Research Technician Position, Deep Learning Postdoc Fellowship Position, CFD Modelling and Simulation Postdoc Fellowship Position, Geometric Modeling and Manufacturing Postdoc Position, Brazil Postdoc Position, Computer Vision/Machine Learning, SZU Postdoc/PhD Position, Inverse Problems, TU Braunschweig Postdoc/PhD Position, RWTH Aachen, Germany Predoc Position, Numerical Analysis, TU-Vienna, Austria PhD Position, Deep Learning, TU Braunschweig PhD Position, Numerical Analysis, KTH PhD Positions, Computational Science, Southern California PhD Positions, Hamburg Univ of Technology Phd Fellowship Position, Computational Mathematics Intern Position, AI/Computer Vision, FiveAI CFP, ACOM special issue on integral equations, by Aug 2020 Contents, Siberian Journal of Numerical Mathematics, 22 (3-4) 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: Pavel Solin [log in to unmask] Date: December 09, 2019 Subject: New Self-Paced Linear Algebra Course Our team is looking for partner instructors to beta-test a new innovative Linear Algebra course with their students. This interactive free online course allows students to actively learn in the classroom or at home at their own pace. This short video explains how the course works: https://youtu.be/mJ0OL7hY8lY The course was first officially piloted at the University of Nevada, Reno (UNR) in Fall 2019, and it received overwhelmingly positive student feedback. Student scores improved by 21 % compared to traditional instruction. The course page https://nclab.com/courses/linear-algebra/ provides more details about the course including the syllabus, additional materials, teaching tips and student feedback. If interested, please contact me at [log in to unmask] or request instructor access on the page of the course. ------------------------------------------------------- From: Stephan Rave [log in to unmask] Date: December 16, 2019 Subject: Software Release, pyMOR 2019.2 The pyMOR development team is happy to announce the release of version 2019.2 of pyMOR (www.pymor.org). pyMOR is a software library for building model order reduction applications with the Python programming language. Implemented algorithms include reduced basis methods for parametric linear and non-linear problems, as well as system-theoretic methods such as balanced truncation or IRKA. All algorithms in pyMOR are formulated in terms of abstract interfaces for seamless integration with external PDE solver packages. Moreover, pure Python implementations of finite element and finite volume discretizations using the NumPy/SciPy scientific computing stack are provided for getting started quickly. Highlights of this release are: - Improved model and reductor design makes pyMOR easier to extend. - Extended VectorArray interface with generic complex number support. - Improved and extended system-theoretic MOR methods. - Builtin support for model outputs and parameter sensitivities. The full release notes can be found under the following address: https://docs.pymor.org/en/2019.2.x/release_notes.html ------------------------------------------------------- From: Kees Oosterlee [log in to unmask] Date: December 13, 2019 Subject: New Book, Mathematical Modeling and Computation in Finance I am happy to announce our new book "Mathematical Modeling and Computation in Finance", by Cornelis Oosterlee and Lech Grzelak. We discuss financial option pricing, SDE modelling of asset prices, interest rates, and foreign-exchange financial products, next to modern risk management. Fourier methods and Monte Carlo simulation are explained for the numerical valuation. Codes (Python and MATLAB) that generate the results in the book's figures and tables are provided, as well as answers to the Exercises. Book details: https://worldscientific.com/worldscibooks/10.1142/q0236 ------------------------------------------------------- From: Pietro Zanotti [log in to unmask] Date: December 10, 2019 Subject: Structure, Regularity and Robustness in the Approximation of PDEs, Italy, Feb 2020 The workshop Structure, Regularity and Robustness in the Approximation of Partial Differential Equations will be held on Monday, February 10, 2020 at the Department of Mathematics of the Universita degli Studi di Milano. The following speakers have confirmed their participation - Remi Abgrall - Lourenco Beirao da Veiga - Emmanuil Georgoulis - Ralf Hiptmair - Christian Kreuzer - Alexander Linke - Gianluigi Rozza - Giancarlo Sangalli The participation is free of charge. Please register sending an email to [log in to unmask] not later than February 3, 2020. The program of the workshop will be made available at the webpage https://sites.unimi.it/aveeser/events/struct-rob-reg-2020/ ------------------------------------------------------- From: Tobias von Petersdorff [log in to unmask] Date: December 11, 2019 Subject: Sayas Numerics Day, USA, May 2020 SAYAS NUMERICS DAY (formerly DelMar Numerics Day) is an annual workshop which aims to display the research diversity of computational mathematics in Maryland, Delaware and vicinity. The meeting is named in honor of Francisco Javier Sayas (1968-2019). In addition to his many other achievements, he played a key role in establishing and running DelMar Numerics Day, and was dedicated to its mission of giving especially younger mathematicians an opportunity to share their work. SAYAS NUMERICS DAY will be held on Saturday, May 9, 2020 from 9:00am to 5:50pm at the University of Maryland, Baltimore County. The keynote talk will be Nonlocal Modeling, Analysis and Computation: Recent Developments by Qiang Du (Columbia University). In addition there will be 12 contributed talks, selected by the scientific committee to represent diverse topics of research in computational mathematics. Registration is free. We particularly encourage graduate students and young researchers to attend and submit talks. The deadline for submitting talks is April 12, 2020. http://numericsday.math.umd.edu ------------------------------------------------------- From: Pamela Bye [log in to unmask] Date: December 13, 2019 Subject: IMA Energy Efficient Computing, UK, Jun 2020 IMA CONFERENCE ON ENERGY EFFICIENT COMPUTING 11-12 June 2020, Bristol, UK https://ima.org.uk/13092/ima-conference-on-energy-efficient-computing/ Energy consumption in data processing tasks is growing exponentially worldwide. The data industry could use around 20% of all the global electricity by 2025, disrupting targets to avoid climate change and straining even more power supply networks. In order to mitigate this scenario, it is necessary to understand which are the fundamental physical limits of computation from an energy perspective and which are the best technologies that can provide computing capabilities close to that limit. In order to achieve this goal a complete multidisciplinary approach is required. The first IMA Conference on Energy Efficient Computing aims to bring together researchers working on all areas of physics, engineering and computer science with a special focus on the efficiency of computation. The idea is to highlight the depth and sophistication of ideas and techniques used in this field and to foster cooperation between researchers working in different areas. Areas of interest include, but are not limited to: Fundamental limits of computation; Physics of computation; Neuromorphic engineering; Energy harvesting; Devices; Computer architecture; Embedded systems; Programming models; High performance computing; Case studies; Cyber security Papers will be accepted for the conference based on a 400 word abstract for oral or poster presentation. We welcome abstracts to be submitted by 15 March 2020 via https://my.ima.org.uk. Please indicate whether your title is intended for oral 'presentation' or 'poster' presentation. ------------------------------------------------------- From: Alexander Ostermann [log in to unmask] Date: December 13, 2019 Subject: Summer School on Kinetic Equations, Italy, Jun 2020 The 17th Dobbiaco Summer School in Numerical Analysis will take place from June 28 to July 3, 2020 in Dobbiaco/Toblach in northern Italy. The topic of the school is Numerical Methods for Kinetic Equations. The confirmed speakers are - Eric Sonnendruecker (MPI for Plasma Physics and TU Munich) - Lukas Einkemmer (University of Innsbruck) The school is mainly intended for PhD students and young researchers. An additional poster session will be organized. Registration is now open. The deadline for early bird registration is April 30, 2020. Please note that the number of participants is limited. For more information, see https://dmi.units.it/dobbiaco/ ------------------------------------------------------- From: Benjamin Sanderse [log in to unmask] Date: December 10, 2019 Subject: Tenure Track Position, CWI Scientific Computing, Amsterdam Centrum Wiskunde & Informatica (CWI), the Dutch national research institute for mathematics and computer science in Amsterdam, invites enthusiastic and highly talented researchers to apply for a Tenure track position in the area of Machine Learning and Partial Differential Equations Job description: CWI is looking for an excellent applied mathematician with research interests in machine learning, partial differential equations and scientific computing. You have profound expertise in one or more of these areas; preferably, you combine them in your research. Furthermore, you have an interest in applications relevant to the Scientific Computing research group: multiscale systems, climate, finance, renewable energy, and computational fluid dynamics. The tenure track position will be in the Scientific Computing research group at CWI. Current research topics of the group include uncertainty quantification, data assimilation, multiscale modeling and simulation, data- driven stochastic modeling, numerical algorithms for stochastic differential equations, Monte Carlo methods and rare event simulation. For more information, please visit https://www.cwi.nl/jobs/vacancies/tenure-track-position-machine-learning-and-partial- differential-equations We especially invite qualified women to apply. Please e-mail your application before 15 January 2020 to [log in to unmask] ------------------------------------------------------- From: Prof. Colin Cotter [log in to unmask] Date: December 12, 2019 Subject: Assistant/Associate Professor Position, Applied/NA, Imperial College London The Depatment of Mathematics at Imperial College London (UK) has a position open in Applied and Numerical Analysis targetting an Lecturer (Assistant Professor in UK-speak) or Senior Lecturer (Associate Professor in UK-speak) hire. We particularly seek applications from researchers with expertise in control theory, optimization, uncertainty quantification, inverse problems, partial differential equations, numerical analysis of PDEs, machine learning, mathematics of data science, stochastic modelling and stochastic differential equations, as well as those with a track record of interdisciplinary research in the physical and social sciences, biology, engineering, and/or Data Science. The application deadline is 15th January 2019. For more information and to reach the application form, please use this link: https://www.imperial.ac.uk/jobs/description/NAT00620/lecturersenior-lecturer-applied-and- numerical-analysis/ ------------------------------------------------------- From: Euan Spence [log in to unmask] Date: December 10, 2019 Subject: Assistant Professor Positions, Univ of Bath, UK. We are seeking applicants for 2 Assistant Professor positions in the Mathematics and Statistics of Data Science, where "Data Science" is interpreted broadly to include relevant parts of Statistics, Applied Probability, Numerical Analysis, Scientific Computing, Networks, Applied Analysis, and the interfaces between these areas. Application deadline: January 20, 2020. Full advertisement: https://www.bath.ac.uk/jobs/Vacancy.aspx?ref=CC7305 ------------------------------------------------------- From: Irune Diaz Gonzalez [log in to unmask] Date: December 12, 2019 Subject: KTU Research Technician Position, Applied Statistics In the framework of the BCAM "Maths & Artificial Intelligence" strategy, a series of projects in this field will be launched in different areas of Applied Mathematics. This project is titled "Health cost analysis with large and incomplete data". Based on a database of more than forty million records, the project aims at studying and describing health- related costs. The objectives will focus on (1) automating the workflow that will allow obtaining (and managing) the data, and (2) defining the statistical analyses to be performed. Master's degree in Statistics, Computer Science, or a closely related field. Strong background in Statistics and Mathematics. Fluency in spoken and written English. Ability to analyse data, perform statistical analysis and interpret results. Strong analytical and problem-solving skills. Strong programming skills Good interpersonal skills. Ability to effectively communicate and present research ideas to researchers and stakeholders with different backgrounds. Demonstrated high level written and oral communication skills. Demonstrated ability to work independently and as part of a collaborative research team. The preferred candidate will have: Strong background in Statistics and Mathematics. Demonstrated knowledge in advanced statistical methods and/or machine learning techniques. Good programming skills in R and/or Python. Research experience in interdisciplinary applications (e.g.: Health, Energy). DEADLINE: January 8th 2019, 14:00 CET (UTC+1) APPLY: http://www.bcamath.org/en/research/job/ktu-research-technician-in-applied- statistics ------------------------------------------------------- From: Irune Diaz Gonzalez [log in to unmask] Date: December 12, 2019 Subject: Research Technician Position, Deep Learning Deep Learning methods and imaging algorithms applied to Geophysics. In the framework of Simulation of Wave Propagation research group, we are looking for a Research Technician in Deep Learning to join the team. Master's degree in Sciences or Engineering. Strong background in Mathematics. Fluency in spoken and written English and Spanish. The preferred candidate will have: A genuine passion for sciences and project management. Good communication and interpersonal skills. Strong analytical and problem-solving skills. Ability to effectively communicate and present research ideas to researchers with different backgrounds. Experience writing LaTeX documents. Demonstrated high-level written and oral communication skills. Demonstrated ability to work independently and as part of a collaborative research team. Work on Deep Learning methods and imaging algorithms applied to Geophysics. Technical project management and support for preparation of reports. Participation in project management activities and coordinating team efforts. Contribution to the dissemination activities of collaborative research projects. Collaboration in knowledge transfer projects with industry and research entities. DEADLINE: 8TH January 2019, 14:00 CET (UTC+1) APPLY: http://www.bcamath.org/en/research/job/ic2019-12-research-technician-in-deep-learning ------------------------------------------------------- From: Irune Diaz Gonzalez [log in to unmask] Date: December 12, 2019 Subject: Postdoc Fellowship Position, CFD Modelling and Simulation Mesoscopic Fluid Dynamics Modelling and Simulation of Espresso Coffee Extraction Applications are invited for a postdoctoral position in mesoscopic modelling of espresso coffee extraction at the CFD group (BCAM) in collaboration with the Illycaffe. The percolation of hot water through ground coffee represents a complex thermo-fluid dynamics process where particulates and aromatics migrate from the grains into the brew. From a coffee cup quality point of view it is necessary to model accurately the mass transfer occurring during the process, focusing on the solubilization of key odorant and taste-wise compounds from the roasted coffee phase. In fact, distinct compound kinetics generally lead to an altered balance in the final cup depending on extraction times, ground coffee granulometry, applied pressures and temperatures resulting, finally, in a highly variable sensorial experience. The goal of this project is to use and further develop an existing simulation framework (based on Smoothed Particle Hydrodynamics and Dissipative Particle Dynamics techniques) to control and engineer coffee flavors by 'virtually' monitoring the balance of specific key-odorant or taste-actives compounds in the beverage under unexplored flow processing conditions. The postdoctoral candidate will work under the supervision of Ikerbasque Prof. Marco Ellero (CFD group, BCAM) on the developments and use of mesoscopic particle-simulation methods to better understand the mesoscopic extraction kinetics. He/she will also interact closely, both with the Illycaffe R&D Department in Trieste, Italy (Dr. Luciano Navarini), and with experimental groups at the College of Engineering (Swansea University UK) where X-ray micro-CT techniques will be used to morphologically characterize the ground coffee microstructure. Promising young researchers. Applicants must have their PhD completed before the contract starts. PhD degree preferable in Physics, Applied Mathematics, Chemical/Mechanical Engineering Good communication and interpersonal skills. Ability to effectively communicate and present research ideas to researchers with different background (e.g., mathematicians and engineers). Ability to clearly present and publish research outcomes in spoken (talks) and written (papers) form. Good command of spoken and written English. The preferred candidate will have: Background in fluid mechanics, rheology, soft matter, particulate systems or complex fluids. Experience in modelling and simulation using particle methods such as smoothed particle hydrodynamics (SPH), dissipative particle dynamics (DPD) or molecular dynamics (MD) is required. Knowledge of C/C++ or Fortran programming languages is required. Experience in parallel programming for HPC is desirable. DEADLINE: 8th January 2019, 14:00 CET (UTC+1) APPLY:http://www.bcamath.org/en/research/job/ic2019-12-postdoctoral-fellowship-in-cfd- modelling-and-simulation ------------------------------------------------------- From: Irune Diaz Gonzalez [log in to unmask] Date: December 12, 2019 Subject: Postdoc Fellowship Position, Geometric Modeling and Manufacturing Geometric Modeling and Manufacturing The researcher will work on a research project in the framework of ADAM^2: Analysis, Design and Manufacturing, using Microstructures, funded by FET Open Project #862025. Possible research topics include, but are not limited to: simulations of 5-axis hybrid manufacturing, in particular 3D printing and 5-axis computer numerically controlled (CNC) machining, free-form surface rationalization, and tool-shape design and optimization. Previous experience in geometric modeling projects is particularly welcome. https://cordis.europa.eu/project/rcn/224935/factsheet/en Promising young researchers. Applicants should have their PhD completed before 31.12.2019. PhD degree in mathematics, computer science, or related area. Ability to effectively communicate and present research ideas to researchers with different background. Ability to clearly present and publish research outcomes in spoken (talks) and written (papers) form. High level of spoken and written English. Good communication and interpersonal skills. The researcher will work on a research project in the framework of ADAM^2: Analysis, Design and Manufacturing, using Microstructures, funded by FET Open Project #862025. Possible research topics include, but are not limited to: simulations of 5-axis hybrid manufacturing, in particular 3D printing and 5-axis computer numerically controlled (CNC) machining, free-form surface rationalization, and tool-shape design and optimization. Previous experience in geometric modeling projects is particularly welcome. DEADLINE: 08.01.2020 APPLY: http://www.bcamath.org/en/research/job/ic2019-12-postdoctoral-fellowship-in-geometric- modeling-and-manufacturing ------------------------------------------------------- From: Jose A Cuminato [log in to unmask] Date: December 09, 2019 Subject: Postdoc Position, Brazil Post-Doc position in Modelling the Wheatley heart valve This project involves the mathematical modelling of blood flow from the left ventricle into and through a novel heart valve. The flow emerges from the left ventricle as spiral flow and enters the aortic valve. This artificial valve consists of a titanium ring attached to a special flexible polymer with a complex mathematical shape designed to rapidly open during systole and close rapidly during diastole. It has three leaflets (flaps) which may be modelled as curved elastic plates. Thus the modelling problem involves fluid/structure interaction. The fluid (blood) may require to be treated as non-Newtonian. The candidate will need to have expertise in computational fluid dynamics, elasticity and a good working knowledge of a fluid simulation package and a high-level programing language. The candidate will be based in Sao Carlos, Brazil and will be required to spend some time at Strathclyde University, Glasgow, UK. The post is initially for one year and can be renewed for another two depending on performance. To apply, please send a CV and a reference letter to [log in to unmask] . Applications are open until Jan/31st, 2020. ------------------------------------------------------- From: J. Lu [log in to unmask] Date: December 14, 2019 Subject: Postdoc Position, Computer Vision/Machine Learning, SZU Job Type: Full-Time Duration: 2 years Number of Position: 2 positions Salary: about 350,000 RMB (50,000 US dollars) per year, of which 180,000 RMB per year is after tax. Closing Date: Open Until Filled Requirements: no more than 35 years old and PhD degree within 3 years. Description: We have projects that are looking for Postdoc in Computer Vision, Machine Learning, Image/Video/Signal Processing/Analysis, Mathematical Imaging, Optimization, Inverse Problems, etc. We have no teaching tasks and Check-in/Check-out policy. Promotors: - Prof. Jian Lu (Shenzhen Key Laboratory of Advanced Machine Learning and Applications, Shenzhen University) - Prof. Ke Chen (University of Liverpool) - Prof. Lixin Shen (Syracuse University) - Prof. Yiqiu Dong (Technical University of Denmark) Those who are interested in Research Scientist please send their C.V. to Prof. Jian Lu, Emails: [log in to unmask], [log in to unmask] ------------------------------------------------------- From: Dirk Lorenz [log in to unmask] Date: December 12, 2019 Subject: Postdoc/PhD Position, Inverse Problems, TU Braunschweig A three year research position is available at the Institute of Analysis and Algebra at the TU Braunschweig inthe group of Prof. Lorenz. The preferred starting data is March, 2020 but later start is possible. The successful candidate will work in the project ``Model-based damage analysis'' within the Research Unit FOR3022 ``Ultrasonic Monitoring of Fibre Metal Laminates Using Integrated Sensors'' funded by the DFG. The project in concerned with the inverse problem of damage identification in fibre metal laminates by guided waves. The position is suitable for a PhD student or a postdoc a strong background in numerical analysis is required, preferred numerical method for partial differential equations and knowledge in inverse problems is a plus. The base salary for the position if according to 75\% of the TVL E13 pay scale. A successful postdoctoral applicant will be offered an upgrade to a 100\% position from other sources. Equally qualified severely challenged persons will be given preference. The TU Braunschweig especially encourages women to apply for the position. Please send your application including CV, copies of certificates and letters of recommendation (if any) in electronic form via e-mail to Dirk Lorenz, [log in to unmask] Application deadline: 31.01.2020 ------------------------------------------------------- From: Frank Knoben [log in to unmask] Date: December 12, 2019 Subject: Postdoc/PhD Position, RWTH Aachen, Germany At the Chair for Numerical Mathematics of the RWTH Aachen University we offer a full ph.d. / postdoc position in the field of Numerical mathematics. In our group we work on the analysis, implementation and application of numerical simulation methods for partial differential equations. Main research topics are on numerical methods for two-phase incompressible flow problems and for partial differential equations on surfaces. For all information and to apply by February 1, 2020, please visit https://www.igpm.rwth-aachen.de/job-offer More information on these topics can be found on www.igpm.rwth-aachen.de/DROPS and www.igpm.rwth-aachen.de/reusken . ------------------------------------------------------- From: Anton Arnold [log in to unmask] Date: December 10, 2019 Subject: Predoc Position, Numerical Analysis, TU-Vienna, Austria - job vacancy in the research group of Anton Arnold, at TU Vienna, 30 hours/week - start: 2.1.2020 (or soon after), 4 years - annual gross salary: 30.077 EUR Scientific topic: Numerical methods for highly oscillatory differential equations. The successful candidate will work on the project "Numerical methods for highly oscillatory differential equations", in a collaboration between TU Vienna, University of Vienna, and University of Bourgogne (Dijon). Highly oscillatory scattering problems appear in many wave propagation models (from acoustics, electronics, quantum mechanics - e.g. Schrodinger equation in the classical limit). The goal of this project is to develop and analyze efficient numerical methods that do not need to resolve each oscillation. Possible aspects of the PhD research include: - hybrid (analytical-numerical) scheme for vector systems and 2D waveguides - coupling of such WKB-based methods to the Landau-Zener formula close to eigenvalue crossings - error analysis An association with the ongoing doctoral school "Dissipation and dispersion in nonlinear partial differential equations" is offered, for details see: http://asc.tuwien.ac.at/~npde/ Thus the PhD candidate can benefit from the collaboration between the three universities through workshops, research stays, and courses. The candidate will be part of a network of researchers on all levels (PhD candidates, post-docs, professors) envolved in the doctoral school. Requirements: - completed master or diploma studies in mathematics. - solid knowledge of (partial) differential equations and numerical analysis; programming experience (e.g. Matlab) The position comes with a teaching load of max. 4h/week (exercise classes). Initially teaching in English is OK. Application for position # 472.3.3: via e-mail to [log in to unmask] ; deadline 16.12.2019 For further scientific information contact: [log in to unmask] http://www.asc.tuwien.ac.at/~arnold/ ------------------------------------------------------- From: Dirk Lorenz [log in to unmask] Date: December 09, 2019 Subject: PhD Position, Deep Learning, TU Braunschweig The group of Prof. Dirk Lorenz at the Institute of Analysis and Algebra has an open (possible two, depending on grant approval) PhD position for a Scientific Assistant (75% TV-L EG13). The position is available from April 1, 2020 and is initially limited to three years. The scientific focus of the group includes optimization, inverse problems, machine learning, and mathematical imaging. Besides teaching and research, the position includes work in projects or preparation of projects. If you have a degree (Masters or Diploma) in mathematics (possibly computer science) above average, focus on optimization and/or numerical mathematics and applications, e.g. imaging or machine learning, have programming skills in MATLAB, Julia and/or Python, have good knowledge of German and/or English, have the capacity for teamwork and independent work, we look forward to your application. If you even have experience with the training of neural networks or even graph networks, it's even better. Equally qualified severely challenged persons will be given preference. The TU Braunschweig especially encourages women to apply for the position. Please send your application including CV, copies of certificates and letters of recommendation (if any) in electronic form via e-mail to Dirk Lorenz, [log in to unmask] ------------------------------------------------------- From: Johan Hoffman [log in to unmask] Date: December 10, 2019 Subject: PhD Position, Numerical Analysis, KTH In Europe cardiovascular diseases acount for 45% of all deaths. In this project we seek to develop personalized simulation models for improved treatment of heart disease, with a focus on heart valve disease. You will work with a multidisciplinary research team involving experts from clinical medicine, medical imaging, data analysis and scientific computing. Your specific task is to develop a finite element model of the blood flow in the heart which is calibrated to patient-specific imaging data, to be used to simulate clinical interventions with the purpose to improve diagnosis and treatment of heart disease. You will learn about numerical methods for solving partial differential equations, specifically finite element methods; how to use such methods to model the biomechanics of the human heart, including fluid dynamics and fluid-structure interaction; and how to implement the methods as efficient software components using high performance computing technologies. Contact: Johan Hoffman https://www.kth.se/profile/jhoffman For more information on the position: https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:302461/where:4/ ------------------------------------------------------- From: Jose E Castillo [log in to unmask] Date: December 08, 2019 Subject: PhD Positions, Computational Science, Southern California 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. Website: http://www.csrc.sdsu.edu/csrc/doctoral.html ------------------------------------------------------- From: Sabine Le Borne [log in to unmask] Date: December 12, 2019 Subject: PhD Positions, Hamburg Univ of Technology The Math Department of Hamburg University of Technology (TUHH, Germany) is offering two PhD/Postdoc positions to contribute to research projects in (one of) the fields of modeling, simulation and optimization. Candidates will be integrated into the newly established Research Training Group "Modeling, Simulation and Optimization of Fluid Dynamic Applications". Besides research, the position includes teaching responsibilities (in German, predominantly "Analysis for Engineers"). The position is available April 1, 2020, for a duration of three years. The salary level is according to the German public service regulation (TV-L 13). For additional information, please refer to https://stellenportal.tuhh.de/jobposting/b4bd619de0e2045612080a9a743a0c622c9f39d The application deadline is Jan 17, 2020. ------------------------------------------------------- From: Irune Diaz Gonzalez [log in to unmask] Date: December 12, 2019 Subject: Phd Fellowship Position, Computational Mathematics Geometric Modeling and Manufacturing The researcher will work on a research project in the framework of ADAM^2: Analysis, Design and Manufacturing, using Microstructures, funded by FET Open Project #862025. Possible research topics include, but are not limited to: simulations of 5-axis hybrid manufacturing, in particular 3D printing and 5-axis computer numerically controlled (CNC) machining, free-form surface rationalization, and tool-shape design and optimization. Promising young researchers. pplicants should have their MSc. completed before 31.12.2019. MSc. degree is required from mathematics, computer science or related area. Ability to effectively communicate and present research ideas. Previous experience in research projects is highly desirable. High level of spoken and written English. Good communication and interpersonal skills. The researcher will work on a research project in the framework of ADAM^2: Analysis, Design and Manufacturing, using Microstructures, funded by FET Open Project #862025. The Phd fellow will design and implement path planning algorithms for hybrid manufacturing, in particular 5-axis Computer Numerically Controlled (CNC) machining and 5-axis 3D printing. Previous experience in geometric modeling projects is particularly welcome. DEADLINE: 08.01.2020 APPLY: http://www.bcamath.org/en/research/job/ic2019-12-phd-fellowship-in- computational-mathematics ------------------------------------------------------- From: Jonathan Sadeghi [log in to unmask] Date: December 11, 2019 Subject: Intern Position, AI/Computer Vision, FiveAI We have several vacancies for interns at FiveAI. A wide variety of projects are available. Applications are closing soon. For further information please see: https://careers.five.ai/job.html?jobID=B57BF33B97 ------------------------------------------------------- From: Alex Barnett [log in to unmask] Date: December 13, 2019 Subject: CFP, ACOM special issue on integral equations, by Aug 2020 We invite submissions for the special issue (topical collection) "Advances in Computational Integral Equations" (ACIE), in the journal Advances in Computational Mathematics (ACOM). Integral equation methods bring tremendous advantages for the numerical solution of a wide variety of PDEs in complex geometries. In recent years there have been tremendous advances in fast (iterative and direct) solvers, representations, and quadratures; yet, many challenges remain, and the research community is active and growing. This topical collection will summarize the state of the art, and is inspired by an upcoming BIRS workshop at Oaxaca (May 31, 2020). Submissions from the global research community and the workshop are welcome, and all will undergo ACOM's usual peer-review process. Topics of interest include: boundary integral equations; singular geometries; randomized algorithms; high frequency; inverse problems; HPC; software packages; numerical analysis; time-domain... The guest editorial board will be: Stephanie Chaillat, Adrianna Gillman, Gunnar Martinsson, Michael O'Neil (chair), Alex Barnett, Mary-Catherine Kropinski, and Timo Betcke. The submission deadline is: August 31, 2020. For details: https://users.flatironinstitute.org/~ahb/notes/ACOM-ACIE-SI_announce.pdf ------------------------------------------------------- From: Siberian Journal of Numerical Mathematics [log in to unmask] Date: December 09, 2019 Subject: Contents, Siberian Journal of Numerical Mathematics, 22 (3-4) Siberian Journal of Numerical Mathematics Volume 22, No. 3, 2019 Averina T.A., Rybakov K.A., A modification of numerical methods for stochastic differential equations with the first integral, (in Russian) Kozelkov A.S., Efremov V.R., Kurkin A.A., Tarasova N.V., Utkin D.A., Tyatyushkina E.S., Simulation of body motion in viscous incompressible fluid (in Russian) Matckevich N.A., Chubarov L.B., Exact solutions of shallow water equations for the water oscillation problem in a simulated basin and their implementation in verifying numerical algorithms (in Russian) Mbehou M., Chendjou G., Numerical Methods for a Nonlocal Parabolic Problem with Nonlinearity of Kirchhoff type (in Russian) Salov G.I., On the controllability of one new non-parametric statistical criterion, alternative to the Wilcoxon--Mann--Whitney criterion (in Russian) Senotrusova S.D., Voropaeva O.F., Mathematical modeling of positive connection functioning in the tumor markers p53--microRNA system (in Russian) Stepanova L.V., Asymptotic analysis of the crack tip stress field (consideration of higher order terms) (in Russian) Uchaikin V.V., Litvinov V.A., Variational interpolation of functionals in transport theory inverse problems (in Russian) Siberian Journal of Numerical Mathematics Volume 22, No. 4, 2019 Bakushinsky A.B., Leonov A.S., Numerical solution to a three-dimensional coefficient inverse problem for the wave equation with integral data in a cylindrical domain (in Russian) Borisov V.G., Zakharov Y.N., Shokin Y.I., Ovcharenko E.A., Klyshni-\linebreak kov K.Y., Sizova I.N., Batranin A.V., Kudryavtseva Y.A., Onishchenko P.S., A numerical method for predicting hemodynamic effects in vascular prostheses (in Russian) Vorontsov E.A., Gasnikov A.V., Ivanova A.C., Nurminsky E.A., The Walrasian equilibrium and centralized distributed optimization in terms of modern convex optimization methods on the example of resource allocation problem (in Russian) Ivanov M.I., Kremer I.A., Urev M.V., A solution of the degenerate Neumann problem by the finite element method (in Russian) Karatsuba E.A., On computation of the Bessel function by summing up the series (in Russian) Lutay V.N., Increasing the stability of triangular decomposition of ill-conditioned matrices (in Russian) Megrabov A.G., Conservation laws and other formulas for families of rays and wavefronts and for the eikonal equation (in Russian) Fadeev S.I., Kogai V.V. The simulation of nonlinear oscillations in a micro clock generator (in Russian) ------------------------------------------------------- End of Digest **************************