Subject: NA Digest, V. 20, # 3 NA Digest Sunday, January 19, 2020 Volume 20 : Issue 3 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: Call for Nominations, Householder Prize EoCoE webinar on PSBLAS 3.6 New Book, Interpolatory Methods for Model Reduction Georgia Scientific Computing Symposium, USA, Feb 2020 Mathematical Modeling for Complex Systems (Paul Van Dooren), Morocco, Apr 2020 Parallel and Distributed Scientific and Engineering Computing, USA, May 2020 ESCO 2020, Czech Republic, Jun 2020 Parallel in Time Integration (PinT 2020), USA, Jun 2020 Gene Golub SIAM Summer School, South Africa, Jul 2020 MOPTA 2020 Competition and Conference, USA, Aug 2020 Applied Mathematics and Scientific Computing, Croatia, Sep 2020 Technical Software Developer Position, Accelerated Computing Faculty Position, Optimization, ENSTA Paris Assistant Professor Position, High-Performance Computing, Trinity College Dublin Several Positions, Computer Science, Math/Optimization, Stat, UBC Research Associate Position, Analytical and Computational Modeling, USA Postdoc Position, Computational Science, CCMC, Lugano Postdoc Position, Parallel sparse linear solvers Postdoc Position, TU Wien PhD Position, School of Mathematics, Trinity College Dublin PhD Positions, Mathematics for AI PhD Positions, Paul Scherrer Institut and ETH Zurich Contents, Mathematical Modelling and Analysis, 25 (1) 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 [log in to unmask] Date: January 14, 2020 Subject: Call for Nominations, Householder Prize The seventeenth Householder Award for the best PhD thesis in numerical linear algebra (PhD earned between 1 January 2017, and 31 December 2019) will be presented at the XXI Householder Symposium on Numerical Linear Algebra held from 14-19 June 2020 at hotel Sierra Silvana, Selva di Fasano (Br), Italy. Nominations for the Householder Award are due by 31 January 2020. The PhD supervisor must submit the PhD dissertation, an appraisal and one or more external letters of recommendation supporting the nomination. For more information see https://users.ba.cnr.it/iac/irmanm21/HHXXI/hhprize.html ------------------------------------------------------- From: Pasqua D'Ambra [log in to unmask] Date: January 13, 2020 Subject: EoCoE webinar on PSBLAS 3.6 The EoCoE (Energy oriented Center of Excellence) team is kicking off 2020 with a webinar that will take place on January 20, 2020, starting at 3PM. This webinar, titled "PSBLAS 3.6 - Sparse Matrices Computation & Iterative Solvers for HPC", will be chaired by Fabio Durastante. We will address the basic functionalities of the PSBLAS library for the parallelization of computationally intensive scientific applications. We will delve into the parallel implementation of iterative solvers for sparse linear systems in a distributed memory paradigm, and look at the routines for multiplying sparse matrices by dense matrices, solving block diagonal systems with triangular diagonal entries, preprocessing sparse matrices, and several additional routines for dense matrix operations. We will discuss both the direct usage of the library in Fortran2003 and the usage of the C interfaces. The tutorial will include examples relative to the EoCoE-II application areas, and highlight how the PSBLAS environment can be used to obtain scalable parallel codes. For those of you who wish to participate, please register on the dedicated GoToWebinar page: https://register.gotowebinar.com/register/5122531618993327627 ------------------------------------------------------- From: Kris ONeill [log in to unmask] Date: January 15, 2020 Subject: New Book, Interpolatory Methods for Model Reduction Interpolatory methods are among the most widely used model reduction techniques, used to replace large systems of coupled differential and algebraic equations that constitute high fidelity system models with substantially fewer equations that are crafted to control the loss of fidelity that order reduction may induce in the system response. This textbook is the first comprehensive analysis of this approach available in a single, extensive resource. It introduces state-of-the-art methods and covers both classical projection frameworks for model reduction and data-driven, nonintrusive frameworks. By Athanasios C. Antoulas, Christopher Beattie, and Serkan Gugercin 2020 / xiv + 232 pages / Softcover / 978-1-611976-07-6 / List $79.00 / SIAM Member $55.30 / CS21 Book details: https://my.siam.org/Store/Product/viewproduct/?ProductId=31316414 ------------------------------------------------------- From: James Nagy [log in to unmask] Date: January 14, 2020 Subject: Georgia Scientific Computing Symposium, USA, Feb 2020 The 2020 Georgia Scientific Computing Symposium (GSCS) will be held at Emory University on February 29, 2020. The GSCS is an annual event (started in 2009) to bring together professors, postdocs, students, and other researchers in Georgia (and surrounding areas) to meet in an informal setting, to exchange ideas and to highlight local scientific computing research. The format of the day-long symposium is a set of invited presentations, poster session and a poster blitz, and plenty of time to network with other attendees. There is no registration fee, but we ask that you register by February 14 so that we can have an idea of the number of participants and to plan the poster session. Invited Speakers: - Vince Calhoun, Center for Translational Research in Neuroimaging and Data Science, Georgia State University - Yingjie Liu, School of Mathematics, Georgia Institute of Technology - Lin Mu, Department of Mathematics, University of Georgia - Lars Ruthotto, Department of Mathematics, Emory University - Xiuwei Zhang, School of Computational Science and Engineering, Georgia Institute of Technology For more information, including registration information, see: http://www.mathcs.emory.edu/~nagy/GSCS2020/index.html ------------------------------------------------------- From: khalide jbilou [log in to unmask] Date: January 14, 2020 Subject: Mathematical Modeling for Complex Systems (Paul Van Dooren), Morocco, Apr 2020 Mathematical Modeling for Complex Systems M2SC Cadi Ayyad University, Marrakech Morocco April,13--16, 2019. https://m2cs.univ-littoral.fr/ The conference is dedicated to Professor Hassane Sadok for his 60th Birthday and to Paul Van Doorenfor his 70th Birthday Main Topics: - Large linear systems and preconditioning, eigenvalue - problems. Linear algebra and control, model reduction. Ill-posed - problems, Image processing. Numerical methods for PDEs. - Approximation, Optimisation. Applied Statistics.- Applications: Artificial Intelligence- Data Mining - Machine learning-Imageprocessing Plenary Speakers: M. Benzi (Italy), C. Brezinski (France), F. Dopico(Spain); G. Meurant (France); M. Mitrouli (Greece), M. Raydan (Portugal); M. Redivo Zaglia (Italy), L. Reichel (USA) ; Y. Saad (USA); H. Sadok (France);P. Van Dooren (Belgium). Important Dates: January 15, 2020 - Deadline for submission of titles and abstracts February 1, 2020 - Deadline for early registration The proceedings of the conference will appear as a special volume of the journal " Electronic Transaction on Numerical Analysis", subject to a regular refereeing process. For more information please refer to the web page: https://m2cs.univ-littoral.fr/ or contact us at: [log in to unmask] ------------------------------------------------------- From: Suzanne Shontz [log in to unmask] Date: January 18, 2020 Subject: Parallel and Distributed Scientific and Engineering Computing, USA, May 2020 The deadline is approaching for papers to be submitted to the 21st IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC-20). See http://cse.stfx.ca/~pdsec20/ . It will be held on May 22, 2020 in New Orleans in conjunction with IPDPS 2020. Deadline: PDSEC-20 deadline: 31 Jan 2020 (AoE) Scope and Interests: The technological trends in HPC system evolution indicates an increasing burden placed on application developers due to the management of the unprecedented complexity levels of hardware and its associated performance characteristics. Many existing scientific applications codes are unlikely to perform well on future systems without major modifications or even complete rewrites. In the future, it will be necessary to utilize, in concert, many characteristics such as multiple levels of parallelism, many lightweight cores, complex memory hierarchies, novel I/O technology, power capping, system-wide temporal/spatial performance heterogeneity and reliability concerns. The parallel and distributed computing community has developed new programming models, algorithms, libraries and tools to meet these challenges in order to accommodate productive code development and effective system use. However, the scientific application community still needs to identify the benefit through practical evaluations. Thus, the focus of this workshop is on methodologies and experiences used in scientific and engineering applications and algorithms to achieve sustainable code development for better productivity, application performance and reliability. ------------------------------------------------------- From: Pavel Solin [log in to unmask] Date: January 13, 2020 Subject: ESCO 2020, Czech Republic, Jun 2020 This is a friendly reminder that the February 14 abstract submission deadline for ESCO 2020 is approaching. Minisymposium proposals will be accepted until February 1. The conference will take place in Pilsen, Czech Republic on June 8 - 12, 2020. We are excited to announce that (peer-reviewed) papers from ESCO 2020 will be published as a special issue of the Journal of Computational and Applied Mathematics (JCAM), an international journal with impact factor. ESCO 2020 is the 7th event in a successful series of interdisciplinary international conferences. It promotes modern technologies and practices in scientific computing and visualization, and strengthens the interaction between researchers and practitioners in various areas of computational engineering, sciences and education. For more details, visit https://www.esco2020.femhub.com/ ------------------------------------------------------- From: Benjamin Ong [log in to unmask] Date: January 14, 2020 Subject: Parallel in Time Integration (PinT 2020), USA, Jun 2020 Michigan Tech is pleased to host the 9th Workshop on Parallel Time Integration, June 8 - June 12, 2020. Invited plenary speakers include: Professor Matthias Bolten (Wuppertal), Professor Laurence Halpern (Paris 13), Professor George Karniadakis (Brown), Professor Ulrich Langer (Johannes Kepler) and Dr. Carol Woodward (LLNL). For more information, please visit http://conferences.math.mtu.edu/. Travel support is available for early career researchers (students or researchers who have held their graduate degree for fewer than five years at the time of application). Travel support requests received by 03/31/2020 are assured of full consideration. Priority is given to participants willing to give a presentation. To support young families, affordable childcare may also be available if requested. We thank the NSF, Michigan Tech, and Juelich Supercomputing Center for providing travel support. Important Dates: PinT 2020: June 8 - 12, 2020 Travel Support Application: March 31st, 2020. Abstract Deadline: May 1st, 2020 Registration Deadline: May 29th, 2020 We kindly ask that you register before 05/29/2020 using the online registration form: http://conferences.math.mtu.edu/registration The registration process allows you apply for travel support. There is no registration fee to attend this conference! For further information, please contact the local organizers (Benjamin Ong @ Michigan Tech, Jacob Schroder @ University of New Mexico) at [log in to unmask] ------------------------------------------------------- From: Bubacarr Bah [log in to unmask] Date: January 15, 2020 Subject: Gene Golub SIAM Summer School, South Africa, Jul 2020 Gene Golub SIAM Summer School 2020 Dates: July 20-31, 2020 Venue: AIMS South Africa, Muizenberg, Cape Town Theme: Theory and Practice of Deep Learning Overview: The focus of the school will be the theory, implementation, and application of deep learning based on neural nets with many layers. Students will learn the mathematical underpinnings of deep learning using functional analysis and optimization theory. They will be introduced to applications that include computer vision, non-linear programming, and forecasting, and will attend lectures by practitioners of deep learning in industry. Students will implement deep learning algorithms primarily using Python with TensorFlow and Keras. Target Audience: The intended audience is graduate students, meaning anyone studying beyond a three- or four-year undergraduate degree, who have done a significant amount of mathematics and some computing in their studies. Ideal candidates will be working on a research project that requires the use of deep learning methods. Funding: Applicants selected to participate will pay no registration fee, will be provided with standard student accommodation and meals and their travel expenses will be fully covered. Application Deadline: February 1, 2020 Website: siam.org/students/g2s3/ ------------------------------------------------------- From: Albert S. Berahas [log in to unmask] Date: January 13, 2020 Subject: MOPTA 2020 Competition and Conference, USA, Aug 2020 MOPTA 2020. Lehigh University, Bethlehem, Pennsylvania, USA. August 12-14, 2020. We wish to invite you to contribute to the 21st annual "Modeling and Optimization: Theory and Applications" (MOPTA 2020) conference, held at Lehigh University, Bethlehem, PA, USA, August 12-14, 2020. The MOPTA conference brings together researchers from a broad range of optimization areas, working on theoretical or applied aspects, or both. There will be invited plenary talks from distinguished speakers, as well as organized sessions and contributed talks, spread over three days. Our confirmed plenary speakers are: Hamsa Balakrishnan (MIT); Simge Kucukyavuz (Northwestern University); Jeffrey T. Linderoth (University of Wisconsin-Madison); Catherine McGeoch (D-Wave Systems Inc.); Yurii Nesterov (University of Louvain); Eva Tardos (Cornell University); Vladimir Vapnik (Facebook AI Research). For more information, please see: http://coral.ie.lehigh.edu/~mopta/. We welcome contributed presentations, and invite you to organize a session(s) centered around your area of expertise. The MOPTA conference sessions consist of (blocks of) three 30-minute presentations, including Q&A. Please register and submit your abstract via the MOPTA 2020 website (http://coral.ie.lehigh.edu/~mopta/). The conference website offers more information. We would also like to announce the 12th AIMMS/MOPTA Optimization Modeling Competition. The competition is jointly organized by the conference organizers of MOPTA and AIMS (https://www.aimms.com/). We anticipate to post the Case Study by January 20, 2020. Please check back at: http://coral.ie.lehigh.edu/~mopta/competition. ------------------------------------------------------- From: Zvonimir Bujanović [log in to unmask] Date: January 16, 2020 Subject: Applied Mathematics and Scientific Computing, Croatia, Sep 2020 ApplMath20, 10th Conference on Applied Mathematics and Scientific Computing, 14-18 September 2020, Brijuni National Park, Croatia The conference is organized by the Department of Mathematics, Faculty of Science, University of Zagreb, Croatia. The aim of the Conference is the exchange of ideas, methods and problems between various disciplines of applied mathematics. Non mathematicians using mathematics as a tool are also encouraged to take part in the Conference. All relevant information, including registration forms, hotel accommodation, abstract submission can be found on https://applmath.math.pmf.unizg.hr/2020 Confirmed plenary speakers: - Peter Benner, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg - Giovanni Paolo Galdi, University of Pittsburgh - Luca Heltai, SISSA Trieste - Konstantinas Pileckas, Vilnius University - Valeria Simoncini, Universita di Bologna - Ivan Veselic, TU Dortmund - Paolo Zunino, Politecnico di Milano Topics of the Conference: Mathematical methods in continuum mechanics; Numerical linear algebra; Scientific computing; Ordinary and partial differential equations; Integral equations; Singular perturbation problems; Splines and wavelets with applications to CAGD, CAD/CAM, computer graphics and differential equations; Numerical mathematics in general; Optimization; Engineering ------------------------------------------------------- From: Amik St-Cyr [log in to unmask] Date: January 13, 2020 Subject: Technical Software Developer Position, Accelerated Computing The 4th industrial revolution (digitalization) is shaping Shell's energy transition. The energy company of the future will be powered, at an unprecedented scale, by sophisticated data centric and computational simulation algorithms crafted through AI, deep learning (DL), machine learning (ML), computational physics and advanced visualization (VR, AR). Shell plans to have access, in 2022, to a top-tier High-Performance- Computing (HPC) facility to enable the discovery of new resources and the creation of data driven algorithms dedicated to solving our most challenging business opportunities. Do you want to be part of this revolution in Shell? If interested, Shell is currently assembling a technical team of extremely talented and passionate computational scientists to leverage upcoming top-tier supercomputers for seismic imaging. As a member of the Exascale Seismic Software team, your typical day will involve developing and coding algorithms for high-performance systems, working side-by-side with accomplished software engineers, world-class researchers and domain experts. The team is responsible for maintaining, developing and deploying Shell's proprietary seismic imaging software. To learn more: https://krb-jobs.brassring.com/1033/ASP/TG/cim_jobdetail.asp? partnerid=30030&siteid=5798&Areq=130168BR https://www.linkedin.com/jobs/view/1674694643 ------------------------------------------------------- From: Frédéric JEAN [log in to unmask] Date: January 16, 2020 Subject: Faculty Position, Optimization, ENSTA Paris ENSTA Paris opens a faculty position in optimization, see details here (in French): https://uma.ensta-paris.fr/var/uma/trainings/2020/prof_optim_uma.pdf The position a priori requires a fairly good level of French, but excellent non-French speaking candidates will be considered. The deadline for applications is Friday, March 15, 2020. ------------------------------------------------------- From: Mike Peardon [log in to unmask] Date: January 14, 2020 Subject: Assistant Professor Position, High-Performance Computing, Trinity College Dublin Hitachi Assistant Professor in High-Performance Computing, Tenure Track, School of Mathematics, Trinity College, Dublin The School of Mathematics at Trinity College, Dublin is seeking a candidate for the above post. The appointment will be tenable from September 2020. This position is five years in the first instance, permanency is subject to satisfying the tenure requirements. This is a teaching and research position; the successful candidate will be required to contribute to all levels of teaching and supervision undertaken by the School, and will be expected to conduct a vigorous research programme. Applicants must have a Ph.D. (or equivalent) in theoretical physics, mathematics or a related field and a demonstrated potential for excellence in research and teaching. Candidates' research should be broadly aligned with the research strengths in the School and should have a focus on advanced scientific computing. Applications must be submitted online via the College's HR portal: https://jobs.tcd.ie The appointment will be made on the Assistant Professorship pay scale in line with current Government Pay Policy. The closing date for applications is 31st January 2020. Informal enquiries regarding the position can be made to Mike Peardon ([log in to unmask]) ------------------------------------------------------- From: Yves Lucet [log in to unmask] Date: January 16, 2020 Subject: Several Positions, Computer Science, Math/Optimization, Stat, UBC The faculty of Arts and Sciences at the University of British Columbia, Okanagan campus has 4 positions in Computer Science, Data Science, Mathematics, and Math/Statistics. The specific profiles are: data science (instructor), mathematics (assistant professor; optimization), computer science (assistant professor; cloud computing, machine learning, big data and data analytics, cyber security, networking and Internet of Things, or software engineering), mathematics/statistics (instructor). See https://webapps.hr.ubc.ca/hrjobs/jobpostings?facultydept=OKBR for the list of positions and details including how to apply. P.S. The website works best with Firefox but may have issue with Chrome. ------------------------------------------------------- From: Yevgenii Rastigejev [log in to unmask] Date: January 14, 2020 Subject: Research Associate Position, Analytical and Computational Modeling, USA POSITION: Research Associate - Analytical and Computational Modeling Applications are invited for an NSF-funded research associate position in the area of analytical and computational modeling of turbulent multiphase flows with an application to a marine atmospheric boundary layer laden with evaporating sea spray. In-depth understanding and accurate modeling of the interaction between ocean spray and a turbulent flow under high-wind conditions is essential for improving forecast accuracy of intensity of hurricanes and severe storms. The research project will involve developing and implementation of a mathematical and computational model of a marine atmospheric boundary layer laden with evaporating sea spray. The model will enable us to accurately describe the effect of ocean spray on the air-sea exchange of momentum, heat and moisture in high-wind condition of a tropical cyclone. MINIMUM QUALIFICATIONS: Ph.D. Degree either in Atmospheric Sciences, Applied Mathematics, Physics, Engineering or other relevant field. Prior experience in theoretical and computational fluid dynamics, turbulence, and mathematical and CFD modeling. Hands-on background in numerical methods and programming skills in matlab and/or fortran90. APPOINTMENT DATE: Open CONTACT: Dr. Yevgenii Rastigejev, E-mail: [log in to unmask] Only electronic applications are accepted. Interested Individuals should send apply online: https://uncjobs.northcarolina.edu/applicants/jsp/shared/position/JobDetails_css.jsp? postingId=1569274 Applicants should send applications containing cover letter describing the principal expertise of the applicant (1-2 pages), up-to-date CV containing the list of publications and the names and contact details of at least three referees. ------------------------------------------------------- From: Simone Pezzuto [log in to unmask] Date: January 13, 2020 Subject: Postdoc Position, Computational Science, CCMC, Lugano The Center for Computational Medicine in Cardiology (CCMC) is seeking a highly motivated postdoctoral researcher to develop novel computational approaches, based on a combination of machine learning and numerical simulations, for studying atrial fibrillation and channelopathies in patient- specific models. Ideal candidates should have a PhD in applied mathematics or in biomedical engineering with a solid background in numerical analysis, and willing to interact with clinicians. CCMC offers a stimulating and multi-disciplinary enviroment with projects running on both the clinical and the numerical side. The position is multi-year with very competitive salary and a good degree of scientific independence. Interested candidates can send their application including CV, track record and a statement of research to Prof. Rolf Krause ([log in to unmask]) and Dr. Simone Pezzuto ([log in to unmask]). ------------------------------------------------------- From: Alfredo Buttari [log in to unmask] Date: January 14, 2020 Subject: Postdoc Position, Parallel sparse linear solvers We are seeking candidates for a 18-months post-doctoral position at the IRIT laboratory of Toulouse (France). The subject is related to the improvement of methods for the solution of sparse linear systems on large scale parallel supercomputers. Specifically, this post-doc will investigate methods for reducing the complexity and improving the scalability of multigrid solvers through the use of low-rank approximation techniques in the coarse grid solver or in the intermediate levels smoothers. The successful candidate will work in the context of the European EoCoE-II project (https://www.eocoe.eu/) whose objective is to leverage the potential offered by the ever-growing computing infrastructure to foster and accelerate the European transition to a reliable low carbon energy supply using High Performance Computing. Requirements: PhD in Computer Science or Mathematics, strong expertise in sparse linear algebra and high performance parallel computing. Detailed information: http://bit.ly/2rlTMly Contact: Alfredo Buttari ([log in to unmask]) ------------------------------------------------------- From: Ursula Schweigler [log in to unmask] Date: January 14, 2020 Subject: Postdoc Position, TU Wien There is a vacant part-time position (20 hours) for a postdoc assistant at our Institute (Analysis and Scientific Computing) at TU Wien. The position will should be filled by February 15, 2020 and runs for 3 years. Salary will be 1.944,80 Euro, before taxes, 14x a year. Conditions: Having defended your thesis in mathematics. Further skills: - Deep knowledge of analysis and numerics of partial differential equations, in particular variation calculus, scientific publications in relevant journals - evidence of interdisciplinary co-operations with appliers from science and engineering - relevant teaching experience - experience in supervision of students' papers and research experience abroad - to be willing to take part in the science project "Taming complexity in partial differential systems" with the subject micro-magnetism and/or Liquid Crystals, Deadline: 30 January, 2020 (postmark) Please write to Personaladministration, Wissenschaftliches Personal TU Wien, Karlsplatz 13, 1040 Wien. Online applications : [log in to unmask] ------------------------------------------------------- From: Kirk M. Soodhalter [log in to unmask] Date: January 13, 2020 Subject: PhD Position, School of Mathematics, Trinity College Dublin Full announcement: https://maths.tcd.ie/~ksoodha/phd2020 This is an updated announcement. Position now open to non-EU students. Position: We are looking for a Ph.D. student in applied mathematics to work on an interdisciplinary project. The student would be situated in the School of Mathematics at Trinity College Dublin supervised by Professor Kirk M. Soodhalter. The overarching project is multidisciplinary (with collaboraton with biomedical engineering teams) and focuses on the analysis of the brain activity and connectivity in health and disease, but this Ph.D. position is focused on the mathematical component (applied linear algebra/ill-posed problems/image and signal reconstruction) and requires an applicant with a strong applied mathematical background, with the goal of earning a Ph.D. in mathematics. Application: Application packages need to contain a CV, a letter of motivation, copies of degree certificates, and relevant course transcripts along with contact details of at least two academic referees. Mark your application with the reference number #MathNeuro01. Further requirements can be found in full announcement. Position remains open until filled. Target start date: September 2020 Materials should be sent by email to: [log in to unmask] ------------------------------------------------------- From: Stig Larsson [log in to unmask] Date: January 13, 2020 Subject: PhD Positions, Mathematics for AI The Department of Mathematical Sciences, Chalmers University of Technology is recruiting 6 PhD students in mathematics for artificial intelligence. Temporary position for 5 years Starting date: August 15, 2020 (flexible) Application deadline: March 6, 2020 Link to the announcement: https://www.chalmers.se/en/about-chalmers/Working-at- Chalmers/Vacancies/Pages/default.aspx?rmpage=job&rmjob=8281 ------------------------------------------------------- From: Andreas Adelmann [log in to unmask] Date: January 17, 2020 Subject: PhD Positions, Paul Scherrer Institut and ETH Zurich Two PhD positions in computational physics at the Paul Scherrer Institut and ETH Zurich are immediately available: 1. COmbined Loading Optimization with Simulations and Surrogate models (COLOSS). The COLOSS project aims at an integral computational scheme for in- core/out-of-core spent fuel analysis, i.e. the development of so-called multidimensional loading surfaces (MLS). Considering the 5 nuclear power plants in Switzerland, about 12 000 spent fuel assemblies are expected for the final repository. In each canister for PWRs there will be 4 assemblies, hence the number of possible arrangements is over 10E21 possibilities. On this enormous amount of configurations boundary conditions w.r.t. safety i.e. effective criticality and maximum allowed decay heat, must be applied. On top of this the time dependent nature of the decay needs to be taken into account. In order to achieve a best-estimate-plus-uncertainty (BEPU) methodology for such MLS of storage/transport casks, the COLOSS project will aim at deploying data science techniques as alternative to the computationally unaffordable forward monte-carlo based modelling and uncertainty propagation methods. This PhD thesis project will be an integral part of COLOSS. The aim is to develop surrogate models using the reference numerical simulations as basis and thereafter, apply the surrogate models for MLS uncertainty/ sensitivity analyses and/or as loading optimisation method. This will contribute to an optimal experimental design (numerical simulations), constraints on design space (type and number of dependant variables) and accuracy versus computational performance of the employed methods. Your ideally have a sound background in theoretical or reactor physics, statistical & machine learning methods, numerical mathematics and be fluent in Python programming. For more information please contact Andreas Adelmann ([log in to unmask]) or Dimitri A. Rochman ([log in to unmask]) 2. Fast AI driven plan generation for patient selection in proton therapy. Radiotherapy can be considered the epitome of the concept of "personalised medicine". Using advanced computer methods based on physical models of interactions of radiation with tissue, a customised treatment is designed a priori for every patient presenting for radiotherapy. Proton therapy facilities, still are a rare resource, with the existing facilities having limited capacity for treating large numbers of patients. As such, patient selection is of critical importance if the benefits of proton therapy are to be best exploited. This research project is about an efficient and effective approach for planning high quality and clinically realistic treatment plans, with a minimal need for human interaction, and with turn-around times in the order of minutes. A conventional computational approach, will in the foreseen future, not be able to meet the stringent requirements concerning "time to solution" i.e. minutes. In this research project we will study statistical and machine learning approaches towards automatic planning systems for patient selection. The Center for Proton Therapy has the longest experience of clinical pencil beam scanning proton therapy, and hence has one of the largest databases of clinically validated patient treatments in the world. It is therefore in an ideal position to provide high quality data for a machine leaning approach to comprehensive and clinically relevant automatic treatment planning and patient selection. We are searching for a highly motivated student working at the intersection of machine & statistical learning and medical-physics. The ideal candidate has a great affinity to mathematical modelling with a sound background in machine and statistical learning methods. A sound background in either physics or medical-physics is needed. For more information please contact Andreas Adelmann ([log in to unmask]) or Tony Lomax ([log in to unmask]) ------------------------------------------------------- From: Raimondas Ciegis [log in to unmask] Date: January 14, 2020 Subject: Contents, Mathematical Modelling and Analysis, 25 (1) MATHEMATICAL MODELLING AND ANALYSIS The Baltic Journal on Mathematical Applications, Numerical Analysis and Differential Equations ISSN 1392-6292, ISSN 1648-3510 online, Electronical edition: http://mma.vgtu.lt, Raimondas {\v{C}}iegis (Editor) Volume 25, Issue 1, 2020 (p.1-166) CONTENTS Jinguo Zhang and Tsing-San Hsu, Multiple Solutions for a Fractional Laplacian System Involving Critical Sobolev-Hardy Exponents and Homogeneous Term Antanas Laurin{\v c}ikas, Darius {\v S}iau{\v c}i{\= u}nas and Gediminas Vadeikis, Weighted Discrete Universality of the Riemann Zeta-Function Vladimir Sabinin, On Incomplete Factorization Implicit Technique for 2D Elliptic FD Equations Kristina Bingel{\.{e}}, Agn{\.e} Bankauskien{\.{e}} and Art{\={u}}ras {\v{S}}tikonas, Investigation of Spectrum Curves for a Sturm--Liouville problem with Two-Point Nonlocal Boundary Conditions Aidas Bal\v ci\= unas, Virginija Garbaliauskien{\. e}, Julija Karali\= unait\.{e}, Renata Macaitien\.{e}, Jurgita Petu\v skinait\.{e} and Audron\.{e} Rimkevi\v cien\.{e}, Joint Discrete Approximation of a Pair of Analytic Functions by Periodic Zeta-Functions Daniel L\'opez-Garc\'ia and Rosa Pardo, A Mathematical Model for the Use of Energy Resources: A Singular Parabolic Equation Vladislav Balashov and Alexander Zlotnik, An Energy Dissipative Spatial Discretization for the Regularized Compressible Navier-Stokes-Cahn-Hilliard System of Equations Zuliang Lu, Lin Li, Longzhou Cao and Yin Yang, Numerical Modelling of Cooperative and Noncooperative Three Transboundary Pollution Problems under Learning by Doing in Three Gorges Reservoir Area Zahra Alijani and Urve Kangro, Collocation Method for Fuzzy Volterra Integral Equations of the Second Kind ------------------------------------------------------- End of Digest **************************