Today's Editor:
Alex Townsend
Cornell University
townsend@cornell.edu
Today's Topics:
The passing of Stan Tomov
Call for Nominations, BGCE Student Paper Prize
New Book, Numerical Mathematics by Jeffrey S. Ovall
AMD Hackathon at University of Oregon, Feb 2025
BIT65 Conference, Sweden, Jan 2025
International Conference: Mathematical Modeling with Applications
UM-Bridge Workshop, December 2024
Caltech Faculty Position in the Engineering and Applied Science Division: Information, Systems and Computing (ISC)
Faculty position in Applied and Computational Math -- NJIT
Faculty positions in Applied Math at Courant Institute, NYU
PhD position in Numerical Mathematics at University of Twente
Postdoc Position in Hydropower Control and Scientific ML
Postdoctoral Position in Uncertainty Quantification for Inverse Problems, University of Oulu, Finland
Postdoctoral Position, Computational Underground Hydrogen Storage, Universdity of Pau, France
Research Project in Scientific Computing; Post-Doc / Grad
Teaching Professor Position, Mathematics, Emory University, USA
Tenure Track Assistant Professor position at U of Delaware
UNC Chapel Hill--a joint (tenure-track) Assistant Professor in applied mathematics and data science
See this issue of NA Digest on the web at:
https://na-digest.coecis.cornell.edu/na-digest-html/24/v24n19.html
Submissions, FAQs, and archives:
https://na-digest.coecis.cornell.edu/
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From: Jack Dongarra dongarra@icl.utk.edu
Date: October 19, 2024
Subject: The passing of Stan Tomov
It is with deep sadness that we share the unexpected passing of our
dear friend and colleague, Stan Tomov, last week. This news has come
as a tremendous shock to all of us.
Stan was not only an outstanding researcher but also a warm,
considerate person and a true friend to everyone who had the privilege
of knowing him. His work in GPU computing and dense linear algebra
algorithms set new standards in the field. As the remarkable leader of
the MAGMA project and a research director at ICL, his contributions
were invaluable. His influence on the success of ICL for over 20 years
was immeasurable: he led technical efforts, fostered numerous
collaborations, and played a pivotal role in shaping the direction of
our work.
Stan’s passing leaves an irreplaceable void, and his absence will be
deeply felt by all who know him. He will be greatly missed.
Jack Dongarra
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From: Tobias Neckel neckel@cit.tum.de
Date: October 22, 2024
Subject: Call for Nominations, BGCE Student Paper Prize
The 10th BGCE Student Paper Prize will be awarded at the 2025 SIAM CS&E Conference, March 3-7, for outstanding student work in the field of Computational Science and Engineering.
Founder of the prize is the Bavarian Graduate School of Computational Engineering (BGCE, http://www.bgce.de/ ). The prize winner will be invited to spend one week in Bavaria, Germany, visiting BGCE sites in Erlangen and Munich. The main objective is to promote excellent students in CS&E and to foster international exchange at an early career stage. Eligible for the prize will be undergraduate and graduate students prior to receiving their PhD (at date of submission).
Candidates are required to summarize their work in a short 4-page paper. The prize finalists will be asked to present their work at SIAM CS&E 2025 at a special "CS&E Student Prize Minisymposium". The papers and talks will be evaluated by an international prize committee. Excluded from the competition are only students from our own universities, FAU and TUM. Deadline for submissions to the BGCE Student Paper Prize is December 8, 2024. Submissions should be sent in pdf format via email with keyword "BGCE prize" in the subject to ivana.jovanovic@tum.de .
Since we are interested in a broad and high-level competition, as in 2007, 2009, 2011, 2013, 2015, 2017, 2019, 2021 and 2023, we ask you to encourage suitable candidates to submit a paper and to support their participation in SIAM CS&E 2025.
Please see https://www.bgce.de/news/10th-bgce-student-paper-prize/ for further details.
Hans-Joachim Bungartz, Dietmar Fey, Tobias Baumeister, Ivana Jovanovic Buha and Tobias Neckel for BGCE
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From: Mitchell Graham mgraham@siam.org
Date: October 25, 2024
Subject: New Book, Numerical Mathematics by Jeffrey S. Ovall
Numerical Mathematics by Jeffrey S. Ovall
This textbook introduces key numerical algorithms used for problems arising in
three core areas of scientific computing: calculus, differential equations, and
linear algebra. Theoretical results supporting the derivation and error analysis of algorithms are given rigorous justification in the text and exercises, and a wide variety of detailed computational examples further enhance the understanding of key concepts.
Numerical Mathematics includes topics not typically discussed in similar texts at this level, such as a Fourier-based analysis of the trapezoid rule, finite volume methods for the 2D Poisson problem, the Nyström method for approximating the solution of integral equations, and the relatively new FEAST method for targeting clusters of eigenvalues and their eigenvectors. An early emphasis is given to recognizing or deducing orders of convergence in practice, which is essential for assessing algorithm performance and debugging computational software. Numerical experiments complement many of the theorems concerning convergence, illustrating typical behavior of the associated algorithms when the assumptions of the theorems are satisfied and when they are not.
2024 / xxiv + 604 pages / Softcover / 978-1-61197-806-3 / List 9.00 / SIAM
Member 2.30 / OT198
Bookstore link:
https://epubs.siam.org/doi/book/10.1137/1.9781611978070
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From: Giacomo Capodaglio Giacomo.Capodaglio@amd.com
Date: October 18, 2024
Subject: AMD Hackathon at University of Oregon, Feb 2025
Proposal submissions are open for the upcoming AMD hackathon at the
University of Oregon on February 11 through 13, 2025:
https://scds.uoregon.edu/AMD-event-2025 . The deadline to submit a proposal is
November 15, 2024. The three-day event will be held in person in Eugene,
Oregon and will be preceded by a virtual training during the week prior to the
hackathon. This is a great opportunity to run your applications on AMD's latest
MI300A hardware! Feel free to contact Robert Robey (bob.robey@amd.com) ,
Asitav Mishra (asitav.mishra@amd.com) or Giacomo Capodaglio
(Giacomo.Capodaglio@amd.com) for any questions.
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From: Murtazo Nazarov murtazo.nazarov@uu.se
Date: October 18, 2024
Subject: BIT65 Conference, Sweden, Jan 2025
We are pleased to draw your attention to the BIT-65 conference, which will be
held at Uppsala University from January 14–16, 2025.
The first issue of BIT, a journal dedicated to numerical mathematics, was
published in 1961. To celebrate the journal’s 65th anniversary, we are
organizing a conference in Uppsala, Sweden, on January 14–16, 2025. The
scope of BIT includes theoretical, computational, and applied aspects of
solving deterministic and stochastic PDEs and ODEs, numerical linear algebra,
approximation, and the recently added theme of numerical mathematics for
data-driven methodologies. These topics will also be featured at the
conference.
The event will include invited talks by associate editors, as well as contributed
sessions, where we welcome presentations on any topic within the scope of
BIT. To encourage broad participation, there will be no conference fee. More
information, including details on registration and abstract submission, can be
found at:
https://www.uu.se/en/department/information-
technology/research/computational-science/bit-conference.
We look forward to welcoming you to Uppsala!
Sincerely,
Murtazo Nazarov and Gunilla Kreiss (Organizers)
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From: Khalide Jbilou jbilou@univ-littoral.fr
Date: October 23, 2024
Subject: International Conference: Mathematical Modeling with Applications
Call for abstracts:
Mathematical Modeling with Applications (M2A25)
February 18 - 20, 2025
Faculty of Sciences and Techniques
University Cadi Ayyad, Marrakesh,
Morocco
https://www.m2a25-conference.ma
The conference will cover different areas related to the application of numerical
analysis to practical problems in engineering, industry, environment, medical
imaging, and new image and information technologies. Participants will share
their recent contributions and their experience in these fields.
Topics:
Completion Methods and Applications to Data Science.
Linear and Multilinear Algebra. Control. Model Reduction.
Numerical Methods for PDEs.
Inverse-Ill-posed Problems.
Approximation and Optimization.
Applied Statistics
Applications to Biodiversity, Imaging, Big Data, Machine Learning,Cybersecurity
Invited Speakers:
L. Maniar; M. Mitrouli; A. Ratnani; L. Reichel; C. Rosier; Y.Saad; H. Sadok;
H. Safouhi; D. Szyld
Contact: m2a25conference@gmail.com
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From: Anne Reinarz anne.k.reinarz@durham.ac.uk
Date: October 22, 2024
Subject: UM-Bridge Workshop, December 2024
We are planning a two-day online workshop on UM-Bridge, a language-agnostic interface linking Uncertainty Quantification (UQ) packages and numerical model software. It enables
* Speeding up UQ projects from prototype to HPC
* Making UQ and model software available to a wide audience
* Reproducible, community-driven UQ benchmarking
This workshop has the following goals:
* Get familiar with UM-Bridge
* Initiate collaborations between UQ and model experts
* Advance the UQ software ecosystem
It will take place online on 5th and 6th of December 2024. Registration is available until 24th of November. You find registration form and further details on UM-Bridge and workshop at: https://um-bridge.github.io/workshop/
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From: Briana Ticehurst briana@caltech.edu
Date: October 22, 2024
Subject: Caltech Faculty Position in the Engineering and Applied Science Division: Information, Systems and Computing (ISC)
The Division of Engineering and Applied Science at the California Institute of
Technology invites applications for tenure-track/tenured faculty positions.
Preference will be given to candidates at the Assistant Professor level;
however, well-qualified applicants at the associate or full professor level may
also be considered.
We seek highly qualified candidates committed to a career in teaching,
mentoring and research excellence in the broad areas of Information,
Systems and Computing. Of particular interest are candidates that have
innovated within any number of a wide range of domains, including but not
limited to applied and computational math, computer science, machine
learning, optimization, control & dynamics, robotics & autonomy, signal
processing, information theory, quantum computation, and the mathematics
of data and models.
This is a joint search between the Department of Computing + Mathematical
Sciences, the Department of Electrical Engineering, and the Department of
Mechanical and Civil Engineering that reflects the unique interdisciplinary
nature of Caltech. A successful candidate will join one of these departments,
or a combination thereof, as best reflects their interests in teaching,
mentorship, and research. It is also anticipated that a successful candidate
would collaborate broadly with investigators both within and beyond the
Engineering and Applied Science Division, as well as in centers at Caltech
including, for example, the Jet Propulsion Laboratory, the Center for
Autonomous Systems and Technologies, the Institute for Quantum
Information and Matter, the Chen Institute for Neuroscience, the Merkin
Institute, and the Resnick Sustainability Institute.
Applications should be submitted online. Reviewing of applications will begin
on November 12th, but full consideration will be given to all candidates who
apply by December 13, 2024.
The appointment is contingent upon completion of the Ph.D. degree in an
appropriate engineering or science related discipline. Applications should
include:
1. A brief cover letter.
2. Curriculum vitae.
3. Relevant publications.
4. a research statement describing research highlights and future goals and
plans.
5. an education statement that addresses the applicant’s thoughts on
classroom and laboratory instruction, mentorship of students and
postdoctoral scholars, and ways to foster an inclusive, equitable environment
for the development of scholars who come to Caltech with many different
backgrounds and experiences.
Salaries for professorial faculty at Caltech fall in the range of 25k - 00k.
Apply: https://applications.caltech.edu/jobs/isc
We are an equal opportunity employer and all qualified applicants will receive
consideration for employment without regard to age, race, color, religion, sex,
sexual orientation, gender identity, or national origin, disability status,
protected veteran status, or any other characteristic protected by law.
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From: Shahriar Afkhami shahriar.afkhami@njit.edu
Date: October 25, 2024
Subject: Faculty position in Applied and Computational Math -- NJIT
The Department of Mathematical Sciences (DMS) at New Jersey Institute of Technology seeks candidates to fill a tenure-track position at the assistant/associate professor level. Candidates in any area of applied and computational mathematics will be considered, with a preference given to those whose research programs have applications to the physical and life sciences, including materials science, ocean and atmosphere science, active and biological media, fluid dynamics, wave propagation and scattering, and mathematical biology.
Candidates should have a Ph.D. in mathematics, applied mathematics, or a related discipline and strong research and teaching potential for consideration at the assistant professor level. Outstanding candidates with a strong track record of research, funding, and teaching will be considered at the associate professor level.
To apply, please visit https://njit.csod.com/ux/ats/careersite/1/home/requisition/7515?c=njit.
Submit a cover letter, resume/CV, research and teaching statements, teaching evaluations if available, and names and contact information for at least four references. Review of applications will begin on Dec. 1, 2024 and will continue until the position is filled.
The Department of Mathematical Sciences is committed to increasing the number of women and historically underrepresented persons in its faculty. NJIT considers applicants for employment without regard to, and does not discriminate based on, gender, race, protected veteran status, disability, or any other legally protected status.
DMS has a leading national program with 39 tenured/tenure-track faculty in applied mathematics and statistics, and offers B.S., M.S., and Ph.D. degrees, with Ph.D. program tracks in applied mathematics as well as in applied probability and statistics. There are new B.S., M.S., and Ph.D. programs in Data Science (Statistics Option) jointly administered with the Department of Data Science. NJIT is an R1 university located in the vibrant University Heights neighborhood of Newark which lies within the New York City metropolitan area. For more information about DMS faculty and programs, visit https://math.njit.edu.
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From: Mike O'Neil oneil@cims.nyu.edu
Date: October 23, 2024
Subject: Faculty positions in Applied Math at Courant Institute, NYU
The Department of Mathematics at the Courant Institute is calling for
applications for faculty positions in applied mathematics to begin in
September 2025 at the Assistant, Associate, or Full Professor level. The
department is specifically focused on hiring in the areas of (1) applied
math for physics and life sciences, (2) climate science, (3) data
science, and (4) scientific computing.
Within scientific computing, we strongly encourage candidates working in
numerical PDE, numerical linear algebra, optimization, scientific
machine learning, and other related areas. Ideal candidates will have a
broad set of interests and a strong track record of developing methods
for solving application-driven problems.
The Department of Mathematics at Courant offers an outstanding scholarly
environment for mathematical and interdisciplinary research. It has a
long and world-renowned tradition in both pure and applied mathematics,
and more importantly, in conducting research which bridges the gap
between them.
For additional details and how to apply see:
https://www.mathjobs.org/jobs/list/25497
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From: Silke Glas s.m.glas@utwente.nl
Date: October 24, 2024
Subject: PhD position in Numerical Mathematics at University of Twente
Applications are invited for a four-year PhD research position under the
supervision of Assistant Professor Dr. Silke Glas in the Department of Applied
Mathematics at the University of Twente, the Netherlands.
This topic is centered around model reduction of port-Hamiltonian systems,
both concerning analysis and application.
The aim is to develop reduced-order models of port-Hamiltonian systems while
preserving the structure of the original system. For the explicit construction of
the reduced-order model, recent methods utilizing model reduction on
manifolds and machine learning techniques will be reviewed and further
methods will be developed/newly created. This project lies in the interface
between analysis, numerical mathematics and machine learning.
More information on this position and on how to apply can be found here:
https://utwentecareers.nl/en/vacancies/1946/phd-position-on-numerical-
mathematics/
Applications received prior to November 24, 2024 will receive full
consideration, but applications will be accepted until the position is filled. For
any questions, please contact Dr. Silke Glas (s.m.glas@utwente.nl) directly.
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From: Vyacheslav Kungurtsev vyacheslav.kungurtsev@fel.cvut.cz
Date: October 24, 2024
Subject: Postdoc Position in Hydropower Control and Scientific ML
As part of two synergistic national projects, involving 1) simulation and control of computational fluid dynamics for Hydropower, and 2) Physics Informed Neural Networks and Reinforcement Learning for accelerating scientific discovery, the Computer Science Department at the Faculty of Electrical Engineering at Czech Technical University is seeking a postdoctoral researcher, supervised by Vyacheslav Kungurtsev. The postdoc will conduct research and develop software for control systems with integer and continuous decisions governing water flow. The use of contemporary scientifically grounded ML techniques will be incorporated to improve the efficiency of the optimization scheme as well as assist the fit of fluid dynamics models to physical observations at the river cascade.
For more information on the research group, please see https://ida.fel.cvut.cz/
If interested, please send a CV to vyacheslav.kungurtsev@fel.cvut.cz
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From: Babak Maboudi babak.maboudi@oulu.fi
Date: October 23, 2024
Subject: Postdoctoral Position in Uncertainty Quantification for Inverse Problems, University of Oulu, Finland
We are seeking applications for a two-year postdoctoral position in Uncertainty
Quantification for Inverse Problems at the University of Oulu, Finland. The
application deadline is November 15, 2024.
The project, titled "Goal-Oriented Uncertainty Quantification for Inverse Wave
Problems," focuses on developing advanced theoretical and computational
frameworks to extract meaningful information from wave propagation
problems. This is a great opportunity for those looking to strengthen their
expertise in probability theory and partial differential equations (PDEs), while
sharpening their computational skills in high-performance computing (HPC) for
large-scale problems.
Applicants must hold, or be close to completing, a PhD in applied mathematics.
For more information you can reach out to Babak Maboudi through email
address: babak.maboudi@oulu.fi
for details and application, see
https://academicpositions.com/ad/university-of-oulu/2024/postdoctoral-
researcher-uncertainty-quantification-for-goal-oriented-inverse-wave-
problems-research-unit-of-mathematical-sciences/224097
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From: Amaziane brahim.amaziane@univ-pau.fr
Date: October 22, 2024
Subject: Postdoctoral Position, Computational Underground Hydrogen Storage, Universdity of Pau, France
Hello,
Please find below an offer for a 2-year post-doc at LMAP in Pau, France within the framework of the ANR HyStorEn project on “Modeling the behavior of underground H2 storage and possible leakage to surface aquifers”.
Subject: Modeling and development of a code for numerical simulation of underground hydrogen storage
Duration: 2 years from January 2025
You will find details of the offer on the following link:
https://lma-umr5142.univ-pau.fr/fr/vie-du-laboratoire/recrutement.html
Best regards,
Brahim Amaziane
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From: Carl Ollivier-Gooch cfog@mech.ubc.ca
Date: October 24, 2024
Subject: Research Project in Scientific Computing; Post-Doc / Grad
The Advanced Numerical Simulation Laboratory is embarking on a new collaborative research project on curved meshing for high-order finite element methods, in cooperation with Dr. Devina Sanjaya in the Department of Mechanical, Aerospace and Biomedical Engineering at the University of Tennessee.
Commercial air transport of passengers and freight is a significant and growing contributor to greenhouse gas emissions, with total emissions doubling since 1990, despite a 60% decrease in emissions per passenger-kilometer. Continuing this trend in flight efficiency is critical in the face of rapidly growing demand, and requires innovative design of new aircraft. Modern aircraft design, in turn, depends largely on highly accurate, reliable, rapid simulation of the aerodynamic forces that dictate the operating performance and flight envelopes of aircraft. Such simulations are the domain of computational fluid dynamics (CFD). In aerodynamics, CFD tools find application not just for large civilian passenger and cargo planes — the familiar offerings from Boeing, Airbus, and the like — but also for small scale guided and autonomous drones, mid-sized airplanes — including the Canadian-made de Havilland Dash 8 and Twin Otter — and military combat aircraft. This project seeks to make CFD simulations more accurate for a given amount of computational resources, enhancing the tools aerodynamicists use to develop next-generation aircraft of all classes.
Research Objectives and Impacts on Scientific Computing
The overall technical goal of this collaborative project with Dr. Devina P. Sanjaya (University of Tennessee, Knoxville) is to improve the performance and reliability of high-order accurate, adaptive CFD methods for use in aerodynamics. High-order adaptive CFD methods are more efficient than conventional methods at producing accurate simulation results. Recent research shows that creating high-order curved meshes optimized for simulation accuracy can magnify this benefit. We will develop a mathematical framework and robust computational algorithms for high-order, metric-based mesh adaptation and error estimation to improve the efficiency and robustness of high-order CFD. Specifically, we seek to develop i) robust a posteriori, metric based error estimation for high-order CFD methods, ii) mathematical and theoretical foundations of high-order meshes, and iii) efficient global node movement algorithms. The resulting generalized metric-based error estimation and mesh adaptation framework will substantially impact the efficiency and robustness of high-order CFD and enable accurate CFD on coarser meshes. This technical result will harness the full potential of high-order adaptive CFD methods and support their wide-spread deployment in computational aerodynamics. From the point of view of aerospace engineers, this will reduce the amount of computational time and computer memory required for simulations, increasing throughput and allowing them to better understand and control the complex aerodynamic flows they work with daily.
Positions Available
My intention is a hire a post-doctoral researcher and a graduate student for this research project. The post-doc will work closely with me to develop the theory and algorithms for new meshing techniques and design the software architecture for implementing them. Also, the post-doc will have primary responsibility for implementation and testing. The graduate student will work primarily on assessing the impact of improved meshing on flow solution accuracy and efficiency, working with our research meshing code and a state-of-the-art high-order adaptive finite element flow solver.
For more information, contact me directly at cfog@mech.ubc.ca
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From: Jim Nagy jnagy@emory.edu
Date: October 19, 2024
Subject: Teaching Professor Position, Mathematics, Emory University, USA
The Department of Mathematics at Emory University in Atlanta, Georgia invites
applications for an open rank Teaching Professor Position.
Applicants should have a PhD in Mathematics or a related discipline, and
outstanding teaching, advising, and service credentials (or potential) related to
undergraduate programs. Responsibilities include 1) teaching five courses per
year; 2) advising undergraduate students; 3) mentoring graduate student
instructors; and 4) supporting the educational mission of the department and
College through committees and program participation.
Applications are to be submitted using Interfolio via
http://apply.interfolio.com/153529. Applications received by November 10 will
be given full consideration, and review will continue until the position is filled.
Emory University is a top-ranked private institution recognized internationally
for its outstanding colleges, graduate and professional schools, and one of the
world’s leading health care systems. Emory scholars and experts generate
more than billion in research funding annually while also highly valuing
excellence in teaching. Emory University is an equal employment opportunity
and affirmative action employer. Women, minorities, people with disabilities and
veterans are strongly encouraged to apply.
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From: Jingmei Qiu jingqiu@udel.edu
Date: October 24, 2024
Subject: Tenure Track Assistant Professor position at U of Delaware
Dear Friends and Colleagues,
We are pleased to share with you a tenure track assistant professor position in
computational math, with preference to data sciences and AI, in Department of
Mathematical Sciences, University of Delaware. The math job link could be
found below.
https://www.mathjobs.org/jobs/Delaware/TTMAP
Please feel free to forward it to whoever maybe interested.
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From: Yifei Lou yflou@unc.edu
Date: October 21, 2024
Subject: UNC Chapel Hill--a joint (tenure-track) Assistant Professor in applied mathematics and data science
The UNC-CH School of Data Science and Society and the Department of
Mathematics invite applications for a joint Assistant Professor (tenure-track)
position effective July 1, 2025. This search focuses on candidates with expertise
at the intersection of applied mathematics and data science. We welcome
candidates who develop and apply expertise in data-driven mathematical
modeling and computation in diverse areas (e.g., biology, chemistry,
engineering, fluid mechanics, medicine, physics). The data-driven emphasis
aims to incorporate computational data-science tools such as mechanistic AI
and machine learning, optimization, geometric data analysis, network science,
imaging, mathematical modeling, solutions of inverse problems, etc. Priority
will be on candidates whose work both develops core data science and applied
mathematics machinery and establishes interdisciplinary collaborations across
the UNC campus. A Ph.D. in Mathematics, Applied Mathematics, or a closely
related field is required. Postdoctoral experience, outstanding research
promise, and dedication to excellent teaching are expected. Duties of this
position will include teaching at the undergraduate and graduate levels,
service, mentoring students, and continued strong and independent research.
Applicants should submit the following materials directly to UNC-CH
(https://unc.peopleadmin.com/postings/288566):
Cover Letter
Curriculum Vitae / Resume
Research Statement & Teaching Statement (combined as the "Other
Document")
List of references with names and contact information.
In addition, the following materials should be submitted via MathJobs
(https://www.mathjobs.org/jobs/list/25307): - please submit at
https://www.mathjobs.org/jobs/list/25307/refsel -
Four Letters of Recommendation
AMS cover sheet (online form)
Please ensure that at least one of these letters substantially addresses the
applicant’s potential for teaching at the undergraduate and graduate levels.
Note that letters of recommendation should only be submitted via MathJobs
and do not need to be submitted directly to UNC-CH.
Review of applications will begin on November 1, 2024 and the posting will
close on January 31, 2025. For further information on the Math Department,
please visit our website at http://www.math.unc.edu.For more information on
the School of Data Science and Society, please visit our website at
https://datascience.unc.edu. For further information about this position, please
contact Professor Jay Aikat at ja@unc.edu.
The University of North Carolina at Chapel Hill is an equal-opportunity
employer. All qualified applicants will receive consideration for employment
without regard to age, color, disability, gender, gender expression, gender
identity, genetic information, race, national origin, religion, sex, sexual
orientation, or status as a protected veteran.
Yifei Lou
(She/her/hers)
Associate Professor
Department of Mathematics | School of Data Science and Society
120 Cameron Ave | 211 Manning Drive
Chapel Hill, NC 27599
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End of Digest
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