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)

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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


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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

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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

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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

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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]


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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.


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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/

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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]


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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/


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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.


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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


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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


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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.

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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])

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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.

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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.


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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]).

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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])

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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]

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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]

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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

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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
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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


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