NA Digest, V. 21, # 41

NA Digest Monday, November 08, 2021 Volume 21 : Issue 41


Today's Editor:

Daniel M. Dunlavy
Sandia National Labs
[email protected]

Today's Topics: 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: Francoise Tisseur [email protected]
Date: October 30, 2021
Subject: Call for Nominations, Householder Prize for Best PhD Thesis


The 2022 Householder Award for the best PhD thesis in numerical linear
algebra, for a PhD earned between 1 January 2020 and 31 December 2021,
will be presented at the XXI Householder Symposium on Numerical Linear
Algebra held from 12-17 June 2022 at hotel Sierra Silvana, Selva di
Fasano (Br), Italy. Nominations for the Householder Award can be made
in the period December 1, 2021 - January 31, 2022. 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: Kris ONeill [email protected]
Date: October 28, 2021
Subject: New Book, Methods in Computational Science


Methods in Computational Science
by Johan Hoffman

Computational methods are an integral part of most scientific
disciplines, and a rudimentary understanding of their potential and
limitations is essential for any scientist or engineer. This
self-contained textbook introduces computational science through a set
of methods and algorithms, with the aim of familiarizing the reader
with the field's theoretical foundations and providing the practical
skills to use and develop computational methods. Centered around a set
of fundamental algorithms presented in the form of pseudocode, it
extends the classical syllabus with new material, presents theoretical
material alongside several examples and exercises, and provides Python
implementations of many key algorithms.

2021 / xvi + 396 pages / Softcover / 978-1-611976-71-7 / List $89.00 /
SIAM Member $62.30 / CS24

SIAM Bookstore:
https://my.siam.org/Store/Product/viewproduct/?ProductId=3D39300058


From: Pamela Bye [email protected]
Date: November 04, 2021
Subject: Cryptography and Coding, ONLINE, Dec 2021


18th IMA International Conference on Cryptography and Coding
14-15 December 2021, Online Conference via Zoom
https://ima.org.uk/16366/online-event-18th-ima-international-conference-on-cryptography-and-coding

Cryptography and coding theory play an essential role in the provision
of effective security and reliability for data communication,
processing and storage. This eighteenth International Conference in an
established and successful IMA series on the theme of "Cryptography
and Coding" encompasses applied aspects of these fields as well as the
mathematical theory that underpins them.

Registration for this event is now open on the MyIMA Portal:
https://my.ima.org.uk/services.php?section=3Devents

If you are an IMA Member or you have previously registered for an IMA
conference, then you are already on our database. Please 'request a
new password' using the email address previously used, to log in.


From: Mathias J. Krause [email protected]
Date: October 27, 2021
Subject: Lattice Boltzmann Methods with OpenLB, Poland, Mar 2022


5th Spring School on Lattice Boltzmann Methods with OpenLB Software
Lab in Krakow (Poland) 2022 -- Register Now

Registration is now open for the Fifth Spring School on Lattice
Boltzmann Methods with OpenLB Software Lab that will be held in
Krakow, Poland from 21st to 25th of March 2022. The spring school
introduces scientists and applicants from industry to the theory of
LBM and trains them on practical problems. The first half of the week
is dedicated to the theoretical fundamentals of LBM up to ongoing
research on selected topics. Followed by mentored training on case
studies using OpenLB in the second half, where the participants gain
deep insights into LBM and its applications. This educational concept
offers a comprehensive and personal guided approach to
LBM. Participants also benefit from the knowledge exchange during the
poster session, coffee breaks, and the excursion. We look forward to
your participation.

Keep in mind that the number of participants is limited and that the
registration follows a first come first serve principle.
- Registration: https://www.openlb.net/spring-school-registration
- More Information: https://www.openlb.net/spring-school-2022



From: Peter Jimack [email protected]
Date: November 01, 2021
Subject: Faculty Positions, CS, Leeds, UK


The School of Computing at the University of Leeds invites
applications for a number of Lecturer posts (equivalent to Assistant
Professor). We are seeking candidates whose research demonstrably
aligns with one or more of our existing research themes, which include
Computational Science & Engineering.

The closing date is 26th November 2021. For details please see:
https://jobs.leeds.ac.uk/vacancy.aspx?ref=3DEPSCP1074


From: Shawn W. Walker [email protected]
Date: October 28, 2021
Subject: Tenure-Track Position, Computational Materials Science, LSU


The Department of Mathematics at Louisiana State University invites
applications for multiple Assistant Professor Tenure-Track faculty
positions. In particular, the Department is seeking to fill one
position with emphasis on computational and mathematical analysis of
problems in the materials sciences. The Department is interested in
candidates who can contribute to the excellence of the academic
community through research, teaching, and service. We will begin
reviewing applications on December 1, 2021, and will continue to
review applications until the position is filled.

We celebrate diversity and are committed to the principles of
diversity and inclusion. LSU actively seeks and encourage qualified
applications from persons with diverse backgrounds, cultures and
experiences.

For full details about the positions and to apply, visit:
https://www.mathjobs.org/jobs/list/18397


From: Samy Wu Fung [email protected]
Date: October 27, 2021
Subject: Tenure-Track Position, Computational Math, Colorado School of Mines


The Department of Applied Mathematics and Statistics (AMS) at the
Colorado School of Mines (Mines) invites applications for a
tenure-track Assistant Professor position in Computational
Mathematics. Qualified candidates with research specialization in one
or more of the following areas are encouraged to apply:
high-performance scientific computing, scientific machine learning,
numerical solution of (stochastic) PDEs, computational linear algebra,
and applications to scientific and engineering modeling, such as
computational fluid dynamics, computational chemistry or computational
materials science, as well as applications to geostatistics and other
problems of societal relevance that address earth and environmental
sciences. A faculty member successful in this position will be able to
provide undergraduate and graduate students with a world-class
educational experience, while conducting cutting edge research and
meaningful service contributions. Mines is a great place to engage in
education and research areas that will have a transformative impact on
individuals and society, leading to shared prosperity and sustainable
use of the Earth's resources.

Review of applications will begin on December 1st, 2021 and will
continue until the position is filled. The application must include:
1) A letter of interest that indicates your areas of expertise and
career objectives (1-2 pgs); 2) A statement of teaching and research
experience and interests, with a description of any experience you
have in online education. This may be submitted as a combined document
(2-4 pgs) or two separate documents (1-2 pgs); 3) A statement on
contributions to diversity and inclusion, describing your past
experiences and proposed activities to advance access, inclusion and
diversity at Mines (1-2 pgs); and 4) A curriculum vitae.

More information can be found at
https://jobs.mines.edu/en-us/job/495281/tenuretrack-faculty-in-computational-mathematics


From: Tobias Weinzierl [email protected]
Date: November 01, 2021
Subject: Assistant Professor Position, Computer Science, Durham


Durham's Department of Computer Science is searching for a new
colleague who can help us with our teaching around scientific
computing and data processing, integrate novel technologies into our
curriculum, help us with playing around with novel hardware, and take
care of all of our experimental compute kit. The job is permanent and
will be associated with the scientific computing research group:

https://durham.taleo.net/careersection/du_ext/jobdetail.ftl?job=3D21001299


From: Marc Alexander Schweitzer [email protected]
Date: October 29, 2021
Subject: Open Position, Universitat Bonn & Fraunhofer SCAI


The Institute for Computer Science at the Faculty of Mathematics and
Natural Sciences of the University of Bonn, Germany, and the
Fraunhofer-Gesellschaft are seeking to appoint a suitable candidate
at the earliest possible opportunity as Professor (W3) for Data-based
Simulation with Industrial Applications and Head of a research group
of the Fraunhofer Institute for Algorithms and Scientific Computing
(Fraunhofer SCAI), Applications are invited to fill this dual
position. The professorship is initially limited to 5 years, but can
afterwards be upgraded to a permanent position with the consent of
the Fraunhofer-Gesellschaft. The University of Bonn and the
Fraunhofer Institute for Algorithms and Scientific Computing have been
collaborating for years in the fields of algorithms, scientific
computing and numerics. The Fraunhofer Institute for Algorithms and
Scientific Computing is partner of the industry in the fields of
computational science and optimization as well as for information
extraction from large data sets. The institute models and optimizes
industrial applications, develops software and services for product
design, process development and manufacturing, and offers
computations on high performance computers. The aims are to shorten
development times, to re-duce the cost of experiments and to optimize
production processes. Applicants are expected to have demonstrated
scientific excellence in at least one of the fol-lowing areas:
- Uncertainty Quantification,
- Data Analysis and Visualization,
- Numerical Simulation
for e.g. Geo Data Analysis, Medical Data Analysis, Additive
Manufacturing or Technical Cybernetics.

Applications including the usual documents (cover letter, curriculum
vitae, list of publications, selected publications, research plan,
teaching concept, copies of degree certificates) should be sent
exclusively in electronic form (PDF file) to
[email protected] by November 15, 2021. Further
information about the position is available from Prof. Dr. Michael
Griebel (Institute Di-rector Fraunhofer SCAI,
[email protected]). Your applications will be
forwarded to Fraunhofer SCAI in compliance with data privacy
laws. Information on the collection of personal data in the
application process can be found at
https://recruiting.fraunhofer.de/Vacancies/22883/DataProtection/1


From: Tyrone Rees [email protected]
Date: November 04, 2021
Subject: Permanent Research Position, Rutherford Appleton Lab, UK


Are you a mathematician who wants to see your research have a direct
impact on cutting-edge science?

We are now seeking a researcher with a passion for mathematical
software to join the Computational Mathematics Group. This post will
appeal to an ambitious and highly motivated numerical analyst who
wishes to work in a research environment as part of one of the UK's
leading computational mathematics groups. As the successful
applicant, you will have the opportunity to work in both mathematics
and numerical software development at the highest levels.

Informal enquiries about the position can be made to Tyrone Rees
([email protected]). The closing date for the position is 28th
November 2021. For more information about the role, or to apply,
please visit
https://careersportal.co.uk/UKRI-careers/jobs/computational-mathematician-1344


From: Heike Sill [email protected]
Date: November 05, 2021
Subject: Research Assistant Position, Numerical Mathematics, WIAS Berlin


WIAS invites applications for a Research Assistant position (f/m/d)
(Ref. 21/20) in the Research Group "Numerical Mathematics and
Scientific Computing" (Head: Prof. Dr. V. John) starting at the
earliest possible date.

The applicant should perform active research in the numerical analysis
of discretizations of partial differential equations from fluid
dynamics, electro chemistry or semiconductor
electronics. Corresponding publications should be available. Expected
are the participation in the software development of the group as well
as the support of projects from applications in collaboration with
partners from WIAS or outside. A university diploma or master degree
in mathematics or a closely related discipline as well as a PhD degree
are required. Please direct scientific queries to Professor
Dr. V. John ([email protected]).

The appointment is initially limited for three years. The salary is
according to the German TVoeD Bund scale.

See here for more information: https://short.sg/j/11637472


From: Kristian Bredies [email protected]
Date: October 27, 2021
Subject: University Assistant Position, Univ of Graz


The Institute of Mathematics and Scientific Computing is looking for
an University Assistant with doctorate,
https://jobs.uni-graz.at/en/MB/6/99/7300
(40 hours a week; fixed-term employment for the period of 6 years;
position to be filled as of now )

Your duties: Research in the field of applied mathematics with
emphasis on the analysis and the numerics of problems in mathematical
image processing, inverse problems and data sciences; Collaboration in
interdisciplinary cooperation projects and third-party funded
projects; Independent teaching of courses in the field of applied
mathematics, supervision of students and holding of examinations;
Participation in organizational and administrative matters.

Your profile: Doctoral degree in a mathematical branch of study; Solid
knowledge of one of the following fields: mathematical methods in
image processing, inverse problems, numerical algorithms for imaging
and inverse problems; Knowledge in one or more of the following
fields: functional analysis, continuous mathematical optimization,
regularization theory, parameter identification with partial
differential equations, geometric measure theory, mathematical data
science (desirable); Ability for integration into the institute's
research profile and in particular into interdisciplinary cooperation
projects; Ability to teach in german language; Capacity for teamwork,
organizational talent and ability to communicate.

Application Deadline: November 24th 2021
Reference Number: MB/6/99 ex 2021/22

If you are interested, please submit your application documents (CV,
certificates, etc.) before the stated deadline. Make sure to indicate
the reference number on your application to: [email protected] .
For further information please contact Prof. Kristian Bredies.



From: Vasileios Kalantzis [email protected]
Date: October 26, 2021
Subject: Postdoc Fellowship Posiiton, Mathematical Sciences, IBM


Job Title: IBM 2022-23 Herman Goldstine Memorial Postdoctoral
Fellowship

The Mathematical Sciences department of IBM Research invites
applications for its 2022-2023 Herman Goldstine Memorial Postdoctoral
Fellowship for research in the mathematical and computer sciences. The
department provides an atmosphere in which basic research is combined
with work on practical applications. Areas of interest include:
algorithms, information theory, artificial intelligence and machine
learning, automated theorem proving and program synthesis, algorithmic
game theory, numerical analysis and scientific computing, dynamical
systems, stochastic optimal control, inverse problems, optimization,
operations research, applied probability, and statistics.

For full consideration, please apply by December 31, 2021. More
information available at https://research.ibm.com/goldstine/


From: Idoia Hernandez [email protected]
Date: November 04, 2021
Subject: Postdoc Fellowship Position, Deep Data-Driven Computing


Deep Learning, Data-Driven Computing, Partial Differential Equations,
Inverse Problems

Deadline for application: 29th November 2021 at 14:00 (CET)
Applications must be submitted on-line at:
http://www.bcamath.org/en/research/job

Requirements: Applicants must have their PhD completed before the
contract starts.

Skils: Good interpersonal skills. A proven track record in quality
research, as evidenced by research publications in top scientific
journals and conferences. Demonstrated ability to work independently
and as part of a collaborative research team. Ability to present and
publish research outcomes in spoken (talks) and written (papers)
form. Ability to effectively communicate and present research ideas to
researchers and stakeholders with different backgrounds. Fluency in
spoken and written English. The preferred candidate will have: Strong
background in the numerical solution of Partial Differential Equations
and/or Deep Learning techniques. Background in Inverse Problems.
Good programming skills in Python and preferably, also Tensorflow.
Interest and disposition to work in interdisciplinary groups.


From: Esmond G. Ng [email protected]
Date: October 26, 2021
Subject: Postdoc Fellowship Positions, Berkeley Lab


Berkeley Lab is now accepting applications for the 2022 Luis
W. Alvarez Postdoctoral Fellowship and the 2022 Admiral Grace Hopper
Postdoctoral Fellowship in the Computing Sciences Area.

Reminder: Application deadline for the Luis W. Alvarez Fellowship and
Admiral Grace Hopper Fellowship in Computing Sciences is November 22,
2021.

Apply now for these two prestigious fellowships! Researchers in
computer science, mathematics, or any computational science discipline
who have received their Ph.D. within the last three years (i.e., no
earlier than January 1, 2019) are encouraged to apply. The successful
applicants will receive a competitive salary, professional travel
allowance, relocation assistance, excellent benefits, and an
opportunity to work in the San Francisco Bay Area. Since its founding
in 2002, the Luis W. Alvarez Fellowship has cultivated exceptional
young scientists who have gone on to make outstanding contributions to
computational and computing sciences. The Admiral Grace Hopper
Fellowship was established in 2015.

Additional information on the Luis W. Alvarez Postdoctoral Fellowship
and the Admiral Grace Hopper Postdoctoral Fellowship can be found at
https://cs.lbl.gov/careers/computing-fellowships/.

Berkeley Lab's Computing Sciences Area researches, develops, and
deploys new tools and technologies to meet these needs and to advance
research in our core capabilities of computer science, mathematics,
and computational science. In addition to fundamental advances in our
core capabilities, we impact such areas as materials science,
chemistry, biology, astrophysics, climate change, combustion, and
fusion energy. Research areas in Computing Sciences include but are
not limited to: developing scientific applications and software
technologies for extreme-scale and energy-efficient computing;
developing mathematical modeling for complex scientific problems;
designing algorithms to improve the performance of scientific
applications; researching digital and post-digital computer
architectures for science; advancing extreme-scale scientific data
management, analysis, and machine-learning; developing next-generation
machine learning and AI approaches for science; advancing quantum
computing technologies, software, algorithms and applications;
evaluating or developing new and promising HPC systems and networking
technologies researching methods to control and manage dynamic circuit
networks; developing large-scale visualization and analytics
technologies; and managing scientific data in distributed environments

Application Process: For consideration applications are due November
22, 2021. Letters of Reference are due November 29, 2021. Details of
the application process can be found by search for job 93892 at
https://jobs.lbl.gov/.


From: Idoia Hernandez [email protected]
Date: November 04, 2021
Subject: Postdoc Position, Atomistic Simulation/Hydrogen Embrittlement, BCAM


Postdoctoral Fellowship in Atomistic Simulation of Hydrogen
Embrittlement in Steels

Applications must be submitted on-line at:
http://www.bcamath.org/en/research/job/ic2021-10-postdoctoral-fellowship-in-atomistic-simulation-of-hydrogen-embrittlement-in-steels

Deadline: November 15th 2021 at 14:00 (CET)

Topics: Hydrogen embrittlement, atomistic modelling, kinetic Monte
Carlo, Molecular Dynamics, Density Functional Theory, steels, Hydrogen
diffusion, mesoscale models.

Requirements: Applicants must have their PhD completed before the
contract starts.

Skills and track-record: Good interpersonal skills. A proven track
record in quality research, as evidenced by research publications in
top scientific journals and conferences. Demonstrated ability to work
independently and as part of a collaborative research team. Ability to
present and publish research outcomes in spoken (talks) and written
(papers) form. Ability to effectively communicate and present research
ideas to researchers and stakeholders with different
backgrounds. Fluency in spoken and written English.

Scientific profile: Strong background in atomistic simulation methods
such as Molecular Dynamics and kinetic Monte Carlo applied to solid
state materials. Working knowledge of Density Functional
Theory. Experience in hydrogen diffusion in steels, embrittlement
processes and/or crack propagation is highly desirable. Background in
SPD or other mesoscopic particle simulation methods is
desirable. Programming skills in either Python, C++ or Fortran are
desirable. Familiarity with GROMACS/LAMMPS/VASP/Quantum ESPRESSO is
highly desirable.


From: Isabel Figueiredo [email protected]
Date: October 28, 2021
Subject: Postdoc Position, Computational Mathematics, Univ of Coimbra


Postdoctoral position in computational mathematics at University of
Coimbra (focusing on image processing and analysis - with applications
in medicine) in the framework of the interdisciplinary research
project "Multi-Cam Capsule Endoscopy Imagery: 3d Capsule Location and
Detection of Abnormalities", with reference POCI-01-0145-FEDER-028960,
of FCT - Portuguese national funding agency for science, research and
technology (https://www.fct.pt/index.phtml.en).

Applicants should have a PhD in Mathematics or Computational Sciences
and Engineering (degree obtained until the end of May 2020).

Applications : October 29 - November 30, 2021.
Duration : 7 months (possibility of renewal).

Starting date : January 2022.

Location : Department of Mathematics of the Faculty of Sciences and
Technology at the University of Coimbra.

Official announcement: https://euraxess.ec.europa.eu/jobs/702310
Contact for further information: Isabel M. Narra Figueiredo

http://www.mat.uc.pt/~isabelf/Postdoccall2021.html


From: Jerome Droniou [email protected]
Date: November 01, 2021
Subject: Postdoc Position, Computational and Numerical Maths, Monash Univ


The School of Mathematics at Monash University is advertising an
18-month postdoc position in Computational and Numerical Mathematics:
https://careers.pageuppeople.com/513/cw/en/job/626738/research-fellow

The position is funded by Australian Research Council, and the
successful candidate will work on polytopal methods for PDEs with
interfaces. The research also includes optimal and scalable parallel
multilevel solvers for the discrete systems arising from hybrid
approximations.

Applications are open until Tuesday 30 November (Australian time, so
Monday 29 November Europe/USA).


From: Michael Roberts [email protected]
Date: October 29, 2021
Subject: Postdoc Position, ML for Full Blood Counts, Univ of Cambridge


Positions exist for two Post Doctoral Research Associates in the
Department of Applied Mathematics and Theoretical Physics to work on
the BloodCounts! project, starting on 1 January 2022 or by
negotiation. The BloodCounts! project is supported by funding from
The Trinity Challenge, The University of Cambridge, University College
Hospitals Biomedical Research Centre, and the NIHR BioResource and
aims to collect full blood count (FBC) data globally and utilise it to
build machine learning based tsunami-like early warning systems by
detecting anomalies in the FBC data.

Link to Job Advert: https://www.jobs.cam.ac.uk/job/31941/
Project Description: https://www.youtube.com/watch?v=3DN-sWni_tS74


From: Idoia Hernandez [email protected]
Date: November 04, 2021
Subject: Postdoc Position, Simulation of Electrode/Electrolyte Interfaces, BCAM


This work is framed within the Basque government funded CICE21
project, in which four agents of the Basque Science, Technology and
Innovation Network (including BCAM) are involved. The purpose of
CICE21 is making realistic in-silico predictions capable of
contributing significantly to the development of materials and cell
architectures for future generation industrial battery prototypes. In
BCAM, we will be focusing on the atomistic modelling of
electrode/electrolyte interfaces in Li-ion batteries, employing reaxFF
interatomic potentials and using the latest efficient simulations
methodologies developed in the group. The project will focus on liquid
organic electrolytes and intercalation cathodes. The researcher will
characterize the kinetic and thermodynamic properties of the Solid
Electrolyte Interface (SEI) in several electrode/electrolyte
combinations and the way in which chemical and environmental variables
affect them. The extracted parameters will be incorporated into
continuous models developed by our collaborators, leading to a truly
multiscale representation of the electrochemical cells.

Topics: Li-ion batteries, electrode/electrolyte interface, ReaxFF
potentials, Molecular Dynamics, enhanced Monte Carlo methods.

Deadline for application: November 15th 2021 at 14:00 CET
Applications must be submitted on-line at:
http://www.bcamath.org/en/research/job

Requirements: Applicants must have their PhD completed before the
contract starts

Skills: Good interpersonal skills. A proven track record in quality
research, as evidenced by research publications in top scientific
journals and conferences. Demonstrated ability to work independently
and as part of a collaborative research team. Ability to present and
publish research outcomes in spoken (talks) and written (papers)
form. Ability to effectively communicate and present research ideas to
researchers and stakeholders with different backgrounds. Fluency in
spoken and written English The preferred candidate will have: Strong
background in atomistic simulation methods such as Molecular Dynamics
and Monte Carlo simulations in materials science. Familiarity with
the fundamentals of electrochemistry and Li-ion batteries. Knowledge
of Density Functional Theory is desirable. Programming skills in
either Python, C++ or Fortran are desirable. Familiarity with
GROMACS/LAMMPS/VASP/Quantum ESPRESSO is desirable.


From: Alex Breuer [email protected]
Date: October 26, 2021
Subject: PhD/Postdoc Positions, Comp and Data Science, Univ of Jena


We are inviting applications for three positions in Computational and
Data Science at the PhD- or Postdoc-level. The positions are in the
groups Advanced Computing, Scalable Data- and Compute-intensive
Analyses, and Scientific Computing. Applications are possible until
December 15, 2021.

Further details about the three positions and information on how to
apply are available at https://scalable.uni-jena.de/positions_cds.pdf


From: Philipp Neumann [email protected]
Date: November 08, 2021
Subject: PhD/Postdoc Positions, HPC, Hamburg, Germany


Research assistant positions (PhD/Postdoc, up to 100% TVoD E-13) are
available at Helmut-Schmidt-Universitat, Hamburg, Germany and funded
until 31.12.2024. Responsibilities comprise amongst others research
tasks within the framework of performance engineering (optimal
algorithms, code optimisation and parallelisation) for various
problems, e.g. from the fields of engineering and logistics, or the
nvestigation of innovative programming approaches to program
cutting-edge HPC hardware.

For details, see:
https://www.hsu-hh.de/karriere/wp-content/uploads/sites/658/2021/11/Reference-Number-MB-5721.pdf

For questions on the positions, please contact Philipp Neumann,
[email protected].


From: Matteo Giacomini [email protected]
Date: October 30, 2021
Subject: PhD Fellowship Position, CSE, UPC-CIMNE, Barcelona


One fully-funded fellowship is available to develop a PhD thesis in
computational science and engineering at the Laboratori de Calcul
Numeric (LaCaN) of Universitat Politecnica de Catalunya in Barcelona,
in collaboration with the International Centre for Numerical Methods
in Engineering (CIMNE). The research project will explore reduced
order methods and artificial intelligence strategies for the
simulation of parametric coupled problems involving fluids, which
appear in several industrial problems across different fields such as
automotive and aerospace engineering. The PhD fellowship is linked to
the Spanish National R&D project Machine learning simulation-based
computational engineering. The successful candidate will work under
the supervision of Prof. Antonio Huerta and Dr. Matteo Giacomini
within the framework of a Spanish research network on scientific
machine learning involving Universidad de Zaragoza, CIMNE and
Universitat Politecnica de Catalunya. The PhD fellowship is funded by
the Spanish Ministry of Science and Innovation and is available for
four years starting October 2022. Early enrolment of the successful
candidate is also possible upon agreement. Requirements: MSc in
computational science and engineering, applied mathematics or related
discipline; knowledge of numerical methods for the approximation of
PDEs, with special emphasis on finite element and/or finite volume
methods; good programming skills (Matlab and/or Fortran/C++); good
written and oral communication skills in English; hard- working and
enthusiastic attitude towards research and innovation. Deadline for
applications: November 11, 2021.

http://www.aei.gob.es/portal/site/MICINN/menuitem.dbc68b34d11ccbd5d52ffeb801432ea0/?vgnextoid=3D4c6c68d98570c710VgnVCM1000001d04140aRCRD&vgnextchannel=3D305938bc8423c710VgnVCM1000001d04140aRCRD

Project ID: PID2020-113463RB-C32 - Machine learning simulation-based
computational engineering



From: Andre Massing [email protected]
Date: October 30, 2021
Subject: PhD Position, Computational Mathematics, NTNU, Norway


A new PhD fellowship in computational mathematics is available at the
Department of Mathematical Sciences at the Norwegian University of
Science and Technology (https://www.ntnu.edu/). The PhD project will
focus on the development and application of novel computational tools
for the simulation and optimization of multiphysics processes in
large-scale liquid hydrogen transport. The project offers multiple
research directions and ample opportunities to work in a
interdisciplinary research environment and to develop and apply
state-of-the-art computational methods including modern finite
element/volume methods in computational fluid dynamics, topology and
shape optimizations algorithms, or machine-learning and model order
reductions techniques. We are looking for highly motivated candidates
with a sound background in numerical mathematics and a strong interest
in developing novel numerical schemes and applying them to challenging
application problems in science and engineering. The project requires
good programming skills, preferably in C++/Python/Julia, and basic
knowledge in partial differential equations and their numerical
solution. Knowledge/interest in fluid mechanics, scientific computing,
or machine-learning are considered merits. Experience with open
source finite element/volume libraries such as deal.ii, mfem, dune,
FEniCS, firedrake, ngsolve, gridap etc. are advantageous but not
required. Successful candidates will be offered a three-year,
full-time research position. The work place will be Trondheim (Norway).

For further details and to apply, please visit:
https://tinyurl.com/5d7733xp

Application deadline is the 30th of November, 2021. For further
information, please contact Assoc. Prof. Andre Massing
([email protected]).


From: Jonathan Crofts [email protected]
Date: November 04, 2021
Subject: PhD Position, Computational Neuroscience


Below you can find the details of a PhD position at Nottingham Trent
University (UK) on the numerical and computational analysis of neural
field models under the supervision of Dr Jonathan Crofts (NTU), Dr
David Chappell (NTU) and Dr Yujiang Wang (University of Newcastle).

https://www.ntu.ac.uk/research/find-a-phd-opportunity/studentship-projects/neural-field-dynamics-on-curved-cortical-geometries-s-and-t37

The deadline for applications is the Friday 14th of January 2022.


From: Yiqiu Dong [email protected]
Date: November 03, 2021
Subject: PhD Position, Inverse problems with Besov prior, DTU, Denmark


The Technical University of Denmark has an opening for a 3-year PhD
position. The position is part of the research project CUQI,
Computational Uncertainty Quantification for Inverse Problems
(https://www.compute.dtu.dk/english/cuqi).

This position focuses on handling inverse problems with Besov
priors. In the CUQI project we will use Besov priors that are suited
for producing piecewise smooth reconstructions and for detection of
edges and interfaces. This involves the use of linear combinations of
wavelets/frames with random coefficients. The project requires
knowledge of functional analysis and numerical computation and,
preferably, harmonic analysis. Moreover, experience with inverse
problems or Bayesian inference will be a plus.

For more details and to apply:
https://www.dtu.dk/english/About/JOB-and-CAREER/vacant-positions/job?id=3Dd5c22773-a1c2-470e-9d04-e32aed78fafe


The applicants will work in a team of PhD students, postdocs and
faculty members in the Section for Scientific Computing, and they must
contribute with research towards the overall goals of the CUQI
project. Applicants are expected to give limited contributions to
teaching and training activities as well as supervision of students.

The deadline of applications is 15 December 2021 at 23:59 (Danish
time).


From: Simone Scacchi [email protected]
Date: October 29, 2021
Subject: PhD Position, Numerical Analysis, Univ of Milan


The group of Numerical Analysis at the Department of Mathematics,
University of Milan, invites applications for a PhD position (36
months) in the area of numerical analysis and scientific computing.

The deadline for applications is November 8, 2021, at 2:00 PM (Rome
time):

https://www.unimi.it/en/education/postgraduate-programmes/doctoral-programmes-phd/ay-2021/2022-mathematical-sciences

The title of the project is: Development of parallel finite element
solvers for the design of new generation wind turbines.

This is a joint project with the industrial partner SEVA SRL.

Starting date will be January 1, 2022.


From: Miroslav Kuchta [email protected]
Date: November 07, 2021
Subject: PhD Position, Scientific ML, Simula Research Laboratory, Norway


In the Department for Scientific Computing and Numerical Analysis at
Simula Research Laboratory, Oslo, Norway, we now have an opening for a
PhD candidate to join the project "Data-driven Algorithms for Physical
Simulations" (DataSim).

The goal of the DataSim project is to further develop the theoretical
understanding, applications and software tools related to the hybrid
models combining partial differential equations (PDE) with neural
networks (NN). The topics to be investigated include for example (i)
stability of the learned models based on the chosen NN architecture
and PDE discretization, (ii) multilevel/one-shot training approaches,
(iii) applications of hybrid models in optimal control and links to
physics-informed deep reinforcement learning or (iv) using hybrid
models to improve weather prediction models in partnership with the
Norwegian Meteorological Institute.

More information can be found at
https://www.simula.no/about/job/phd-candidate-scientific-computing-and-numerical-analysis-simula-research-laboratory


From: BCAM PhD Program [email protected]
Date: November 03, 2021
Subject: PhD Positions, BCAM


The Spanish State Research Agency (AEI) has published the call for PhD
contracts to be performed at Severo Ochoa Excellence Research Centers
or within the research projects funded in the call of 2021. The
application period will be open from October 28 to November 11, 2021
at 14:00h CET. All applications must be submitted through the
submission service.

http://www.bcamath.org/predoctoral2021/


From: Heike Hufnagel Martinez [email protected]
Date: November 08, 2021
Subject: PhD Positions, Data Science, DASHH


We would like to inform you that the DASHH Call for Applications 2021
is open now: 14 exciting PhD positions are advertised at DASHH: Data
Science in Hamburg - Helmholtz Graduate School for the Structure of
Matter! DASHH is seeking highly qualified and highly motivated
candidates with an excellent academic background in the Natural
Sciences or Computer Science/Mathematics as well as a solid experience
in programming. DASHH offers data-driven interdisciplinary research
topics in Physics, Engineering, Chemistry, Applied Mathematics,
Informatics, and Structural Biology with a work contract at the level
of the German TV-L/TV-AVH/TVoD 13 salary scheme for 3 years. Please
find all PhD topics as well as the application requirements here:
https:https://www.dashh.org/application/index_eng.html and feel free
to share this information with all interested parties.


From: Paolo Bientinesi [email protected]
Date: October 29, 2021
Subject: PhD Positions, RWTH Aachen Univ, Germany


The International Research Training Group "MIP" [1] at RWTH Aachen
University (Germany) has immediate openings for fully-funded
Ph.D. positions in the areas of high-performance computing and
automation, with focus on matrix and tensor operations. These
positions are part of a collaboration between RWTH Aachen University,
Umea University (Sweden), and The University of Texas at Austin
(US). Research stays at all institutions are expected (COVID
permitting).

The appointments --at the payscale TVL-13 (about 4050 Euros/month
gross at the entry level [2])-- will be initially for one year, and
will be extended for two extra years upon positive evaluation.

Applications from excellent candidates are invited. To apply, please
email the following documents to Prof. Paolo Bientinesi
([email protected]), with subject "PhD @ IRTG":
- cover letter (why are you applying? what are your research interests?)
- detailed CV
- transcripts from your Bachelor and MS degrees
- contact info of at least two references
- pointers to your previous publications and software projects (if any)

Deadline: The review of applications will begin *immediately* and will
continue until the positions are filled.

References
[1]: https://blog.rwth-aachen.de/irtg-mip/
[2]: https://oeffentlicher-dienst.info/tv-l/allg/

Requirements: Master's degree in computer science or related field.
Ability to acquire knowledge in new subjects quickly and
independently. Proficiency in C or C++. Knowledge of other languages
(such as Python, Julia, Fortran, Mathematica, Matlab) is a plus.
Ability to work productively both independently and as part of an
interdisciplinary team. Excellent oral and written English
communication skills.


From: Evrim Acar [email protected]
Date: November 06, 2021
Subject: PhD Positions, Temporal & Multi-Modal Data Mining, Simula, Norway


We invite applications for PhD student positions at the Machine
Intelligence Department (MIND) at Simula Metropolitan Center for
Digital Engineering (SimulaMet), Oslo, Norway.

The topic of the PhD research will lie at the intersection of temporal
data mining, graph mining and matrix/tensor factorizations. The
position requires both methodological developments (model formulation,
algorithmic advances) and the use of developed methods in
applications. Application areas of interest are omics data analysis,
social networks analysis, and neuroimaging data analysis (e.g., see
the Tracer project - https://tracer.simulamet.no/ ).

Application deadline: November 15, 2021
For more details, please see the full job posting:
https://www.simulamet.no/about/job/phd-position-temporal-multi-modal-data-mining

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