Today's Editor:
David S. Bindel
Cornell University
bindel@cornell.edu
Today's Topics:
Input welcome for dynamic X-ray CT data collection
Feng Kang Prize Announcement
New Book, Nonlocal Integral Equation Continuum Models: Nonstandard Interaction Neighborhoods and Finite Element Discretizations
New Book, Uncertainty Quantification: Theory, Implementation, and Applications, Second Edition
ICOSAHOM minisymposium proposals, July 2025
The 14th AIMS Conference, Abu Dhabi, UAE, Dec 2024
Associate Professor Position, Computational Mechanics, Tufts University, USA
Open Rank Positions, Data Science for Health, Lehigh University, USA
Postdoc Position, High-Performance Computing, University of Leeds, UK
Postdoc Positions, Luis W. Alvarez and Admiral Grace Hopper Fellowships, Berkeley Lab, USA
Research Assistant Position, WIAS Berlin, Germany
PhD Position, Computational Mathematics, Univ of Bozen-Bolzano, Italy
PhD Position, Numerical Analysis, Charles University, Czech Republic
PhD Position, WIAS Berlin, Germany
PhD Position, WIAS Berlin, Germany
PhD Positions, Data Science in Hamburg-Helmholtz Graduate School, Germany
PhD Positions, IfAM, Leibniz University Hannover, Germany
Contents, Journal of Dynamics and Games, 12(1)
Contents, Mathematical Foundations of Computing, 8(1)
See this issue of NA Digest on the web at:
https://na-digest.coecis.cornell.edu/na-digest-html/24/v24n14.html
Submissions, FAQs, and archives:
https://na-digest.coecis.cornell.edu/
-------------------------------------------------------
From: Felix Lucka Felix.Lucka@cwi.nl
Date: September 15, 2024
Subject: Input welcome for dynamic X-ray CT data collection
In a starting project on dynamic X-ray CT, we will collect and publish a big
collection of 2D and 3D X-ray data that allows to evaluate and benchmark
dynamic image reconstruction techniques (similar to what we did for 2D static CT:
https://www.nature.com/articles/s41597-023-02484-6). The collection should
include data from phantoms that allow to do “stop-motion”-style acquisitions
(which has the advantage that for every time step, a full data set is available to
compute a ground-truth reconstruction) as well as data from real dynamic
objects (i.e., no static ground truth can be obtained). We will start with simple
dynamics (e.g., affine transformations of simple objects) and work our way up to
complex dynamics (e.g., elastic deformations, crack/crystal formation, fluid
dynamics).
In order to design the experiments and to collect data that is as useful as possible
for the imaging community, we welcome any input on which type of data you
would find useful for your own work. Just drop me an email!
-------------------------------------------------------
From: Rujuan Ding dingrj@lsec.cc.ac.cn
Date: September 19, 2024
Subject: Feng Kang Prize Announcement
The Committee of Feng Kang Prize of Scientific Computing is seeking
applications and nominations for 2025 year. The prize is awarded every
other year to young Chinese Scientists under the age of fifty in China and
abroad for their outstanding researches in numerical analysis and scientific
computing. Application forms can be obtained by anonymous ftp from
http://lsec.cc.ac.cn/fengkangprize/contact.html
Deadline for applications and nominations is MARCH 15, 2025.
Please send all materials to
Ms. Ru-Juan Ding
Institute of Computational Mathematics
No.55, East Road, Zhong-Guan-Cun, Beijing 100190, CHINA
Email: dingrj@lsec.cc.ac.cn
-------------------------------------------------------
From: Mitchell Graham mgraham@siam.org
Date: September 13, 2024
Subject: New Book, Nonlocal Integral Equation Continuum Models: Nonstandard Interaction Neighborhoods and Finite Element Discretizations
Nonlocal Integral Equation Continuum Models: Nonstandard Interaction
Neighborhoods and Finite Element Discretizations by Marta D'Elia, Max
Gunzburger, and Christian Vollmann
The book presents the state of the art of nonlocal modeling and discretization
and provides a practical introduction to nonlocal modeling for readers who are
not familiar with such models. These models have recently become a viable
alternative to classical partial differential equations when the latter are unable to
capture effects such as discontinuities and multiscale behavior in a system of
interest. Because of their integral nature, nonlocal operators allow for the
relaxation of regularity requirements on the solution and thus allow for the
capture of multiscale effects, the result of which is their successful use in many
scientific and engineering applications.
The book also provides a thorough analysis and numerical treatment of
nonstandard nonlocal models, focusing on both well-known and nonstandard
interaction neighborhoods. In addition, the book de-livers an extensive practical
treatment of the implementation of discretization strategies via finite element
methods. Numerous figures are provided as concrete examples to illustrate both
the analytic and computational results.
2024 / x + 176 pages / Softcover / 978-1-61197-804-9 / List 5.00 / SIAM
Member 5.50 / CS31
Bookstore link:
https://epubs.siam.org/doi/10.1137/1.9781611978056
-------------------------------------------------------
From: Mitchell Graham mgraham@siam.org
Date: September 18, 2024
Subject: New Book, Uncertainty Quantification: Theory, Implementation, and Applications, Second Edition
Uncertainty Quantification: Theory, Implementation, and Applications, Second
Edition by Ralph C. Smith
Uncertainty quantification serves a fundamental role when establishing the
predictive capabilities of simulation models. This book provides a comprehensive
and unified treatment of the mathematical, statistical, and computational theory
and methods employed to quantify uncertainties associated with models from a
wide range of physical, biological, and engineering applications. Concepts are
motivated and illustrated by a large set of examples.
This second edition has been significantly revised and expanded to include
advances in the field and to provide a comprehensive sensitivity analysis and
uncertainty quantification framework for models from science and engineering.
Reorganized into five parts, the book covers applications and models; concepts
from probability and statistics; parameter identifiability, sensitivity analysis, and
active subspace techniques; parameter inference, uncertainty propagation, and
model discrepancy; and construction of surrogate and reduced-order models.
2024 / xxiv + 541 pages/ Hardcover / 978-1-61197-783-7 / List Price 9.00 /
SIAM Member Price 2.30 / CS30
Bookstore link:
https://epubs.siam.org/doi/10.1137/1.9781611977844
-------------------------------------------------------
From: David Del Rey Fernandez ddelreyfernandez@uwaterloo.ca
Date: September 16, 2024
Subject: ICOSAHOM minisymposium proposals, July 2025
Dear Colleagues,
We are excited to announce that the 2025 International Conference on
Spectral and High-Order Methods (ICOSAHOM) will take place from July
13-18, 2025, in beautiful Montreal, Quebec. We eagerly anticipate
welcoming you to the conference.
We are currently accepting proposals for minisymposia. If you are
interested in organizing a minisymposium, please submit your
proposal by October 15, 2024 through the following link:
https://icosahom2025.org/
For any inquiries, feel free to contact us at
icosahom2025@gmail.com
Warm regards,
2025 ICOSAHOM Organizers
-------------------------------------------------------
From: Horst Simon horst.simon@adialab.ae
Date: September 18, 2024
Subject: The 14th AIMS Conference, Abu Dhabi, UAE, Dec 2024
New York University Abu Dhabi with support from ADIA Lab will be hosting
the 14th AIMS Conference in Abu Dhabi on 16–20 December.
https://www.aimsconference.org/conferences/2024/index.html
It is the first time that a conference of this mathematical amplitude is brought
to this region of the world. The privileged location of Abu Dhabi provides us
with a unique opportunity to host a truly global scientific forum, welcoming
colleagues from all continents.
The AIMS Conference is of the highest caliber and has a history close to 30
years, during which it has grown to become the largest international
conference in mathematical analysis and applications/modeling. We currently
have over 1700 registered scientists and mathematicians, from all over the
world, who intend to participate in the conference.
We have recently extended the deadline for early-bird registrations to 2
October. We hope that this will give you the opportunity to benefit from the
reduced registration rate. In particular, you can still submit proposals to host
your own Special Session on a subject of your choice. It is also possible to
submit abstracts into existing Special Sessions, or as contributed talks.
Note that the conference covers a wide array of scientific subjects and
welcomes contributions from all fields.
I hope that you will consider your participation in the conference, and
possibly organizing a Special Session.
Please feel free to spread the word and make sure to share this information
within your network.
Horst Simon
ADIA Lab, Abu Dhabi, UAE
-------------------------------------------------------
From: James Adler james.adler@tufts.edu
Date: September 18, 2024
Subject: Associate Professor Position, Computational Mechanics, Tufts University, USA
Tufts University Department of Mechanical Engineering is searching for a
faculty member at the Associate Professor level in computational fluid and/or
solid mechanics. Ideally, candidates’ research will connect to existing themes
within the department, such as soft and active matter, biophysics and biofluid
dynamics, microfluidics, porous media, or heat transfer. Candidate research
themes also have the potential to complement broader, interdisciplinary
initiatives at the School of Engineering and University levels in sustainability,
materials engineering, or artificial intelligence. Candidates with expertise in all
areas of computational modeling and simulation – potentially including
multiscale modeling, fluid-structure interactions, and high-performance
computing – are encouraged to apply. The candidate should be capable of
teaching graduate and undergraduate courses related to current curricula and
new research directions in computational mechanics. The full advertisement
and application instructions can be found here:
https://apply.interfolio.com/149625
-------------------------------------------------------
From: Xiu Yang xiy518@lehigh.edu
Date: September 13, 2024
Subject: Open Rank Positions, Data Science for Health, Lehigh University, USA
The Rossin College of Engineering and Applied Science (RCEAS) at Lehigh
University invites applications at all ranks for a tenure-track or tenured position
in Data Science for Health. The start date is July 1, 2025. This search is being
conducted jointly by the Department of Industrial and Systems Engineering
(ISE) and the Department of Computer Science and Engineering (CSE) and is
one of several expected hires in the area of Data Science for Health. Human
health is an identified area of strategic importance for Lehigh, as reflected by
the recent establishment of a new College of Health (CoH). Candidates must
possess a Ph.D. (or equivalent by date of hire) in Computer Science, Industrial
Engineering, Statistics, or related areas. The successful candidate will be
expected to demonstrate a strong commitment to undergraduate and graduate
education; pursue a vibrant research agenda focused on data science
methodology with applications to health; and be committed to fostering a
diverse, equitable, and inclusive environment.
Junior (tenure-track) applicants should apply at
https://academicjobsonline.org/ajo/jobs/28351 and senior applicants at
https://academicjobsonline.org/ajo/jobs/28353. Review of applications will
begin October 15, 2024, and will continue until the position is filled. The
application should include a cover letter; a curriculum vitae; a research
statement that describes past scholarly contributions and future research
directions; a teaching statement that describes instructional philosophy and
courses that the candidate would want to teach or develop; a statement on
diversity, equity, and inclusion (DEI) that describes prior DEI experience and a
candidate’s vision for enhancing community and culture at Lehigh; and names
and addresses of at least three references. Inquiries may be addressed to
Professor Mooi Choo Chuah, Search Committee Co-Chair, mcc7@lehigh.edu,
or Professor Xiu Yang, Search Committee Co-Chair, xiy518@lehigh.edu.
-------------------------------------------------------
From: Mantas Mikaitis m.mikaitis@leeds.ac.uk
Date: September 16, 2024
Subject: Postdoc Position, High-Performance Computing, University of Leeds, UK
A 3-year Research Fellow in High-Performance Computing vacancy is available
at the University of Leeds, UK. Salary: £38,205 to £45,585 per annum.
Are you an ambitious researcher who enjoys working at the interplay between
computer architecture and numerical software? Do you have experience in
developing numerical software libraries or hardware units? Are you passionate
about developing tools that can help us understand, document, compare, and
standardise numerical behaviour of high-performance computers?
An EPSRC-funded project ‘Informing Future Numerical Standards by
Determining Features of Non-Standard Mathematical Hardware’ is a 3-year
project that aims to develop tools to improve our understanding of several
numerical features of the numerical hardware present in datacentre GPUs and
domain-specific machine learning accelerators. The main goal is to improve the
existent almost entirely manual methods by focusing on three core aspects:
automating, removing the need for specialized in-depth knowledge of
mathematics of floating-point arithmetic, and informing the public about the
features of the current hardware.
The prospective PDRA will join an informal research group Leeds Mathematical
Software and Hardware Lab at the School of Computer Science, University of
Leeds situated in a beautiful and very natural part of England that is the
Yorkshire county.
Apply at: https://jobs.leeds.ac.uk/Vacancy.aspx?ref=EPSCP1159
-------------------------------------------------------
From: Jeffrey Donatelli jjdonatelli@lbl.gov
Date: September 18, 2024
Subject: Postdoc Positions, Luis W. Alvarez and Admiral Grace Hopper Fellowships, Berkeley Lab, USA
The Computing Sciences Area (https://cs.lbl.gov/) at Lawrence Berkeley
National Laboratory (https://www.lbl.gov) is now accepting applications for two
distinguished postdoctoral fellowships in Computing Sciences:
Luis W. Alvarez Postdoctoral Fellowship, and
Admiral Grace M. Hopper Postdoctoral Fellowship.
The successful candidates will participate in research activities in computer
science, mathematics, data science, or any computational science discipline of
interest to the Computing Sciences Area and Berkeley Lab. Alvarez Fellows
apply advances in computer science, mathematics, computational science, data
science, machine learning or AI to computational modeling, simulations, and
advanced data analytics for scientific discovery in materials science, biology,
astronomy, environmental science, energy, particle physics, genomics, and
other scientific domains. Hopper Fellows concentrate on the development and
optimization of scientific and engineering applications leveraging high-speed
network capability provided by the Energy Sciences Network or run on next-
generation high performance computing and data systems hosted by the
National Energy Research Scientific Computing Center at Berkeley Lab.
Since its founding in 2002, Berkeley Lab’s Luis W. Alvarez Postdoctoral
Fellowship (https://go.lbl.gov/alvarez) has cultivated exceptional early career
scientists who have gone on to make outstanding contributions to computer
science, mathematics, data science, and computational sciences. The Admiral
Grace Hopper Postdoctoral Fellowship (https://go.lbl.gov/hopper) was first
awarded in 2015 with the goal of enabling early career scientists to make
outstanding contributions in computer science and high performance
computing (HPC) research.
For consideration, applications are due October 31, 2024. Details of the
application process can be found at https://go.lbl.gov/2025.
-------------------------------------------------------
From: Marie Stöbe jobs@wias-berlin.de
Date: September 17, 2024
Subject: Research Assistant Position, WIAS Berlin, Germany
The Weierstrass Institute for Applied Analysis and Stochastics (WIAS) is an
institute of the Forschungsverbund Berlin e.V. (FVB). The FVB comprises
seven non-university research institutes in Berlin which are funded by the
federal and state governments. The research institutes belong to the Leibniz
Association.
WIAS invites applications for a
Research Assistant position (f/m/d)
(Ref. 24/19)
in the Research Group
“Laser Dynamics”
(Head: Priv.-Doz. Dr. Uwe Bandelow) starting from 01.10.2024.
This position will be funded for a period up to 24 months by the Leibniz
Collaborative Excellence program. The research subject will be a theoretical
and numerical study of photonic crystal surface-emitting semiconductor
lasers (PCSELs). It will be conducted in close collaboration with physicists
and electrical engineers from the Ferdinand Braun Institute (FBH) in Berlin.
The work tasks include:
The researcher will work on the theoretical aspects of the collaborative
project “Excellence in Photonic Crystal Surface Emitting Lasers," which aims
to develop a new generation of high-power, high-quality semiconductor
emitters. The basic theoretical model used for the simulation and analysis of
PCSELs is given by a system of PDEs defined in 1 (temporal) and 2 (spatial)
dimensions. For more advanced modeling, it will be necessary to consider
the selected model components in all three spatial dimensions. It is expected
that under the supervision of the experts from WIAS and FBH, the researcher
will work on the development of efficient numerical tools suited for solving
numerically the dynamical PDE model and the related spectral problem.
We are looking for: Applicants should hold a Ph.D. degree in mathematics,
scientific computing, or theoretical physics and have good speaking and
writing skills in English. Experience in efficient numerical methods for PDEs
and good programming skills in Julia and/or C++ are expected; knowledge of
semiconductor device modeling and semiconductor physics would be an
advantage.
What we offer:
• WIAS Berlin is a premier research institution known for its strength in
mathematical modeling, optimization, dynamical systems, and applied
mathematics in general.
• Payment according to the collective agreement for the public service (TVöD
Bund) including the usual social benefits (30 vacation days in a 5-day week,
company pension plan); subsidy for the company ticket for public transport
• Mobile working
• A certified (Audit berufundfamilie) family-friendly work environment.
• Berlin offers endless opportunities to enjoy life outside work. Neither the job
nor living in Berlin requires German language (although WIAS offers free
German courses). We highly welcome international applications.
Scientifically, Berlin offers a rich landscape with numerous opportunities for
research, as well as job prospects in academia and industry.
Please direct scientific queries to Dr. M. Radziunas
(Mindaugas.Radziunas@wias-berlin.de).
The appointment is initially limited for two years. The salary is according to
the German TVöD scale.
The Weierstrass Institute is an equal opportunity employer. We explicitly
encourage female researchers to apply for the offered position. Among
equally qualified applicants, disabled candidates will be given preference.
Please upload complete application documents including a cover letter,
curriculum vitae and photocopies of relevant certificates as soon as possible
via our online job-application facility (https://short.sg/j/49255243) using the
button “Apply online” (https://short.sg/a/49255243).
The advertisement is open with immediate effect and will remain open until
the position will be filled.
We look forward to your application!
See here for more information:
https://www.wias-berlin.de/jobs/index.jsp?lang=1
https://wias-berlin.softgarden.io/de/vacancies
-------------------------------------------------------
From: Bruno Carpentieri bruno.carpentieri@unibz.it
Date: September 15, 2024
Subject: PhD Position, Computational Mathematics, Univ of Bozen-Bolzano, Italy
We are offering a PhD position focusing on the development of fast, parallel
matrix solvers to tackle the computational challenges in thermonuclear fusion
simulations. Fusion energy holds the promise of clean, sustainable energy, but
modeling plasma behavior inside reactors such as Tokamaks requires solving
highly complex and large-scale mathematical problems. Our project aims to
significantly improve the efficiency of these simulations by advancing state-of-
the-art computational techniques.
The successful candidate will work on designing novel matrix solvers optimized
for parallel computing architectures (e.g., multi-core CPUs, GPUs) using MPI and
CUDA libraries. The project will also explore machine learning (ML) methods to
speed up specific operations in these solvers, such as preconditioning and matrix
compression, helping reduce computational time and memory usage. While the
focus is on thermonuclear fusion energy, the solvers developed during this PhD
can be applied to other fields such as computational electromagnetics and
acoustics.
We are looking for candidates with a strong background in numerical methods,
high-performance computing, and a keen interest in applying machine learning
to scientific computing challenges. Previous experience with parallel
programming (MPI, CUDA) is highly desirable.
For more information and how to apply, please visit the link below (Call FSE+):
https://www.unibz.it/en/faculties/engineering/phd-computer-science/
Application deadline: by October 2, 2024, by 12:00 PM (noon, CEST – GMT+2).
Contact: bruno.carpentieri@unibz.it
-------------------------------------------------------
From: Michal Outrata outrata@karlin.mff.cuni.cz
Date: September 16, 2024
Subject: PhD Position, Numerical Analysis, Charles University, Czech Republic
A funded PhD position is available within the framework of the Primus project
"Divide, Conquer and Optimize", led by Michal Outrata at the Faculty of
Mathematics and Physics at Charles University.
The project involves working with high-performance computing techniques,
such as mixed precision computations and hierarchical matrix formats,
within the framework of domain decomposition methods, their analysis and
optimization. Applications are invited from candidates who have background
in numerical linear algebra, numerical analysis, domain decomposition
methods, or computational/data science application domains.
The anticipated start is in early spring 2025 but is negotiable.
Successful candidates must hold a Master's degree and must formally enroll in
the PhD program at Charles University.
Application deadline: November 3rd, 2024
Instructions for how to apply as well as further details about the project can be
found at:
https://michaloutrata.com/#PrimusProject
Questions can be directed to outrata@karlin.mff.cuni.cz
-------------------------------------------------------
From: Marie Stöbe jobs@wias-berlin.de
Date: September 17, 2024
Subject: PhD Position, WIAS Berlin, Germany
The Weierstrass Institute for Applied Analysis and Stochastics (WIAS) is an
institute of the Forschungsverbund Berlin e.V. (FVB). The FVB comprises
seven non-university research institutes in Berlin which are funded by the
federal and state governments. The research institutes belong to the Leibniz
Association.
WIAS invites applications for a
PhD student position (f/m/d)
(Ref. 24/18)
in the Research Group
“Nonlinear Optimization and Inverse Problems”
(Head: Prof. Dr. D. Hömberg) to be filled at the earliest possible date.
As part of the doctoral thesis, mathematical optimal control problems in
connection with powder bed-based processes for metallic 3D printing are to
be investigated. The work will be carried out in co-operation with the 3D
printing laboratory of the Technical University of Berlin.
We are looking for: candidates with a master’s degree in mathematics or a
closely related field with a strong background in at least two of the following
fields: Mathematical modelling, non-linear optimisation/optimal control,
analysis of partial differential equations, numerical simulation of partial
differential equations. Previous experience in the analytical or numerical
treatment of direct or inverse problems in thermomechanics is an advantage.
What we offer:
● Close mentorship: the PhD student will receive responsible and careful
mentorship. We emphasize the promotion of a healthy mentor-mentee
relationship.
● WIAS Berlin is a premier research institution known for its strength in partial
differential equations, mathematical modeling, nonlinear optimization, and
applied mathematics in general.
● A certified (Audit berufundfamilie) family-friendly work environment.
● Berlin is one of the most culture-rich and diverse international cities in the
world. It offers endless opportunities to enjoy life outside work, while being
very affordable compared to other major cities. Neither the job nor living in
Berlin requires German language (although WIAS offers free German courses).
We highly welcome international applications. Scientifically, Berlin offers a
rich landscape with numerous opportunities for research, as well as job
prospects in academia and industry.
Please direct scientific queries to Prof. Dietmar Hömberg
(dietmar.hoemberg@wias-berlin.de).
The appointment is limited to three years. The reduced work schedule is
29.25 hours per week, and the salary is according to the German TVoeD
Bund scale.
The Weierstrass Institute is an equal opportunity employer. We explicitly
encourage female researchers to apply for the offered position. Among
equally qualified applicants, disabled candidates will be given preference.
Please upload your complete application documents (motivation letter,
detailed CV, certificates, copy of the master thesis, etc.) via our online job-
application facility (https://short.sg/j/49243908) until October 31, 2024 using
the button “Apply online” (https://short.sg/a/49243908).
We are looking forward to your application!
See here for more information:
https://www.wias-berlin.de/jobs/index.jsp?lang=1
https://wias-berlin.softgarden.io/de/vacancies
-------------------------------------------------------
From: Marie Stöbe jobs@wias-berlin.de
Date: September 18, 2024
Subject: PhD Position, WIAS Berlin, Germany
The Weierstrass Institute for Applied Analysis and Stochastics (WIAS) is an
institute of the Forschungsverbund Berlin e.V. (FVB). The FVB comprises
seven non-university research institutes in Berlin which are funded by the
federal and state governments. The research institutes belong to the Leibniz
Association.
WIAS invites applications for a
PhD student position (f/m/d)
(Ref. 24/20)
“Optimal Transport and Machine Learning”
in the Weierstrass Group
“Data-driven Optimization and Control”
(Head: Dr. Jia-Jie Zhu) to be filled at the earliest possible date.
We are looking for: candidates motivated in researching principled optimal
transport theory, optimization, and machine learning. The project is funded
by DFG. The concrete methodological components of the Ph.D. project
include
o Robustness in machine learning, causal inference, robust optimization
o Optimal transport and gradient flows for machine learning and optimization
o Probabilistic machine learning, Bayesian inference, sampling
o Continuous optimization for machine learning, mirror descent algorithms
The Ph.D. student will closely work with Dr. Jia-Jie Zhu (https://jj-
zhu.github.io/).
Wanted: We invite candidates with a master’s degree in computer science,
statistics, or ap-plied mathematics, with a special focus on rigorous training
in machine learning or optimization, preferably in optimal transport for
machine learning applications. Those qualifications are demonstrated by
high-quality technical reports or publications in relevant venues such as
(NeurIPS/ICML/ICLR/AISTATS/AAAI/CoLT/JMLR/TMLR etc.). Candidates with a
strong background in statistics and applied math will also be considered.
What we offer:
• Close mentorship: the Ph.D. candidate will receive responsible and careful
mentorship. We emphasize fostering a healthy mentor-student relationship.
• WIAS Berlin is a premier research institution known for its strength in
optimization, optimal control, dynamical systems, and applied mathematics in
general. It has hosted flagship conferences in mathematical optimization
such as ICCOPT 2019.
• Payment according to the collective agreement for the public service (TVöD
Bund) inclu-ding the usual social benefits (30 vacation days in a 5-day week,
company pension plan); subsidy for the company ticket for public transport
• Mobile working
• A certified (Audit berufundfamilie) family-friendly work environment.
• Berlin is one of the most culture-rich and diverse international cities in the
world. It offers endless opportunities to enjoy life outside work, while being
very affordable compared to other major cities. Neither the job nor living in
Berlin requires German language (although WIAS offers free German
courses).
We highly welcome international applications. Scientifically, Berlin offers a
rich landscape with numerous opportunities for research, as well as job
prospects in academia and industry.
Please direct scientific queries to Dr. Jia-Jie Zhu (zhu@wias-berlin.de).
The position is limited to 3 years. The reduced work schedule is 29,25 hours
per week, and the salary is according to the German TVoeD Bund scale.
The Institute aims to increase the proportion of women in this field, so
applications from women are particularly welcome. Among equally qualified
applicants, disabled candidates will be given preference.
Please upload your complete application documents –
• 1-2-page cover letter (including a very brief research statement)
• CV with/and links to your existing projects and works
• Master's thesis (or draft if not yet completed)
• Transcripts of bachelor's and master's study
• Contact information of 2-3 references from previous research projects who
have agreed to be contacted (not needed for the initial application)
via our applicant portal (https://short.sg/j/49288928) using the button “Apply
online” (https://short.sg/a/49288928).
The advertisement is open with immediate effect and will remain open until
the position will be filled.
We are looking forward to your application!
See here for more information:
https://www.wias-berlin.de/jobs/index.jsp?lang=1
https://wias-berlin.softgarden.io/de/vacancies
-------------------------------------------------------
From: Heike Hufnagel Martinez (DASHH coordinator) dashh-office@desy.de
Date: September 20, 2024
Subject: PhD Positions, Data Science in Hamburg-Helmholtz Graduate School, Germany
12 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 Particle Physics,
Photon Science, Structural Biology, Accelerator Science, Materials Science with a
work contract at the level of the German E13 salary scheme for 3 years.
Please find all PhD topics as well as the application requirements here:
https://www.dashh.org/application/application_procedure/index_eng.html
Call for applications open until 20 Oct.
-------------------------------------------------------
From: Thomas Wick thomas.wick@ifam.uni-hannover.de
Date: September 15, 2024
Subject: PhD Positions, IfAM, Leibniz University Hannover, Germany
PhD Positions at IfAM, Leibniz University Hannover, Germany
Two PhD positions are available at the Institute of Applied
Mathematics (IfAM), Leibniz University Hannover, Germany.
Applications are invited from candidates with research interests in the field
of Applied Analysis/Partial Differential Equations, or
Numerical Mathematics, or Optimization, as well as three hours teaching
with German language knowledge.
The anticipated starting date is April 2025.
The application deadline is Oct 1, 2024,
but the search goes on until both positions are filled.
For the full job ad and information on how to apply, please see
https://www.uni-hannover.de/en/jobs/id/7272?cHash=6586ab52de3cdafefe7ba887b8b317c3
Questions can be directed to Prof. Dr. Thomas Wick via thomas.wick@ifam.uni-hannover.de
-------------------------------------------------------
From: Charley Denton cdenton@aimsciences.org
Date: September 13, 2024
Subject: Contents, Journal of Dynamics and Games, 12(1)
Journal of Dynamics and Games
January 2025, Vol. 12, No. 1
https://www.aimsciences.org/jdg/article/2025/12/1
Enhancing classification modeling through feature selection and smoothness: A
conic-fused lasso approach integrated with mean shift outlier modelling
Fatma Yerlikaya-Özkurt and Pakize Taylan
Dynamics of value-tracking in financial markets
Nicholas C. L. Beale, Richard M. Gunton, Kutlwano L. Bashe, Heather S. Battey and
Robert S. MacKay
An exact bandit model for the risk-volatility tradeoff
Max-Olivier Hongler and Renaud Rivier
The impacts of vagueness in communication on language evolution
Kotaro Hashimoto and Hitoshi Hohjo
Farmer's game: A game theoretic approach towards burning of crop residue
Ram Krishna Vinayak
Assessment of discharge pollution and recovery periods within dynamic resource
management systems
Yong Pan and Vladimir Mazalov
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From: Charley Denton cdenton@aimsciences.org
Date: September 16, 2024
Subject: Contents, Mathematical Foundations of Computing, 8(1)
Mathematical Foundations of Computing
February 2025, Vol. 8, No. 1
https://www.aimsciences.org/mfc/article/2025/8/1
Study on the well-posedness of stochastic Boussinesq equations with Navier
boundary conditions
Chengfeng Sun, Shan Jiang and Hui Liu
Generalized interval AOR method for solving interval linear equations
Jahnabi Chakravarty and Manideepa Saha
On interval-valued vector variational-like inequalities and vector optimization
problems with generalized approximate invexity via convexificators
Rohit Kumar Bhardwaj and Tirth Ram
Unified fast algorithms for building concept lattices
Xifeng Wang, Jianqin Zhou and Sichun Yang
A generalization of szász operators with the help of new kind Appell polynomials
Gürhan İÇÖZ and Zehra Tat
Learning and approximating piecewise smooth functions by deep sigmoid neural
networks
Xia Liu
Some new fractional integral inequalities for (h1,h2)−convex functions
Xiaoyue Han and Run Xu
Read more articles here:
https://www.aimsciences.org/mfc/article/2025/8/1
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End of Digest
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