From: Alex Townsend Date: Fri, 30 Oct 2026 08:28:02 -0400 Subject: NA Digest, V. 26, # 44 To: na-digest-l@lists.cornell.edu NA Digest Friday, October 30, 2026 Volume 26 : Issue 44 Today's Editor: Alex Townsend Cornell University townsend@cornell.edu Today's Topics: New IOP journal "AI Horizons" New Book, A First Course in Machine Learning New Book, Averaging of Singularly Perturbed Control Systems and LP Approach to Optimal Control New Book: “Kernel-based methods: milestones and new trends“ Lean + Numerical linear algebra working group Final call: ECSML 2027, Naples, Feb 2027 - Deadline Nov 1 LSSC 2027: Reliable Approximate AMG - Call for Contributions MOPTA 2027, August 17-18, Lehigh University Call for proposals: LMS-Sheffield Symposia 2028 PhD Positions in Mathematics, University of Warwick PhD opportunities in Mathematics for our Future Climate, UK Call for applications PhD position DC 5 - Deadline 10.12.2026 Call for applications for 12 PhD positions Call for applications PhD position DC 6 - Deadline 10.12.2026 PhD Position at Hamburg University of Technology, Germany PhD Position in Extreme Rainfall Risk Prediction at the University of Glasgow Postdoctoral Research Associate, University of North Carolina at Chapel Hill, Department of Mathematics Assistant Prof. Position at Temple University, Philadelphia PA Tenure track faculty positions in Computer Science at the University of Toronto Faculty Position in the Engineering and Applied Science Division: Information, Systems and Computing (ISC) Lecturer (Assistant Professor) position in Numerical Analysis & Data Science at Bath (UK) Contents, AIMS New Volume: CPAA Vol. 39 Contents, AIMS New Volume: MCRF Vol. 20 See this issue of NA Digest on the web at: https://na-digest.coecis.cornell.edu/na-digest-html/26/v26n44.html Submissions, FAQs, and archives: https://na-digest.coecis.cornell.edu/ ------------------------------------------------------- From: Wei Cai cai@smu.edu Date: October 27, 2026 Subject: New IOP journal "AI Horizons" AI Horizons is an international, interdisciplinary journal publishing high-quality original research articles, reviews, and perspectives on advances in the theory, methods, and applications of artificial intelligence (AI). The journal focuses on AI that accelerates scientific discovery and engineering innovation, models complex spatiotemporal systems, and enables intelligent action in the physical world. It also publishes research at the interface of AI and emerging quantum technologies. Published by IOP Publishing, the journal is open to submission. https://iopscience.iop.org/journal/2979-2584 ------------------------------ Wei Cai Section Editor, AI for Science and Engineering and Algorithms AI Horizons Southern Methodist University Dallas TX ------------------------------------------------------- From: Mitchell Graham mgraham@siam.org Date: October 23, 2026 Subject: New Book, A First Course in Machine Learning A First Course in Machine Learning by Edmond Chow This pedagogically designed textbook introduces the fundamental principles of machine learning in a clear and systematic way. Organized into forty-three manageable chapters, it guides students progressively through the subject, highlighting the connections between key ideas. Students develop intuition through simple examples that illustrate the often complex behaviors of machine learning models. Models and algorithms are treated mathematically, and concepts beyond linear algebra and multivariable calculus are introduced along the way. A First Course in Machine Learning teaches the mathematics needed to deeply understand machine learning and to prepare for more advanced study, contains a carefully curated and ordered set of topics so students increasingly gain the knowledge needed to understand the subject, and includes programming exercises so the reader can experiment with the algorithms but does not rely on any particular computer language. 2026 / xii + 373 pages / Softcover / 978-1-61197-915-2 / List $84.00 / SIAM Member $58.80 / DI04 Bookstore link: https://epubs.siam.org/doi/book/10.1137/1.9781611979145 ------------------------------------------------------- From: Mitch Graham mgraham@siam.org Date: October 28, 2026 Subject: New Book, Averaging of Singularly Perturbed Control Systems and LP Approach to Optimal Control Averaging of Singularly Perturbed Control Systems and LP Approach to Optimal Control by Vladimir Gaitsgory This book presents a systematic exposition of averaging techniques for singularly perturbed control systems, with emphasis on their interplay with infinite-dimensional linear programming (LP) formulations of optimal control problems. The author provides a comprehensive study of averaging methods for singularly perturbed control systems, including averaging over fast control-state trajectories and over the occupational measures generated by such trajectories. Averaging of Singularly Perturbed Control Systems and LP Approach to Optimal Control establishes rigorous connections between optimal control problems with time-discounting or time-averaging criteria and infinite-dimensional LP problems, proves strong duality for the latter and uses this duality to analyze and construct optimal and near-optimal controls. It also develops LP-based techniques for the analysis and construction of asymptotically near-optimal controls for singularly perturbed systems. These techniques are illustrated by numerical examples. 2026 / x + 372 pages / Softcover / ISBN 978-1-61197-906-0 / List $94.00 / SIAM Member $65.80 / DC46 Bookstore link: https://epubs.siam.org/doi/book/10.1137/1.9781611979077 ------------------------------------------------------- From: Stefano De Marchi stefano.demarchi@unipd.it Date: October 30, 2026 Subject: New Book: "Kernel-based methods: milestones and new trends" Authors: Stefano De Marchi, Francesco Marchetti and Emma Perracchione Cambridge Monographs on Applied and Computational Mathematics, Series Number 46 Description: Kernel methods, with origins in the pioneering work of Mercer (1909), Bochner (1933), and Aronszajn (1950), have become central tools in modern mathematics and machine learning. This book explores their deep connections with approximation theory, highlighting both classical results and cutting-edge developments. Through clear explanations and illustrative examples, it guides readers from foundational concepts to contemporary applications, including computational methods and real-world problem solving. By bridging theory and practice, the text not only provides a rigorous understanding of kernels but also inspires further exploration and research. Suitable for students, researchers, and practitioners, it invites readers to engage with ongoing advances in this dynamic field and to contribute to its future growth. - Presents concrete examples of kernel-based approximation across multiple disciplines - Develops the theory step by step, using intuitive explanations and illustrative examples to makes advanced theory accessible to readers with a classical background in functional analysis and machine learning - Showcases modern and emerging applications of kernel methods, offering both fresh perspectives and a clear view of the fundamental milestones in the area ------------------------------------------------------- From: Diana Halikias diana.halikias@nyu.edu Date: October 27, 2026 Subject: Lean + Numerical linear algebra working group We are running a biweekly working group over Zoom to discuss integrating Lean and NLA research. Topics include an NLA Lean library, incorporating Lean in combination with AI into our research workflows, proof formalization standards for the research community, and theoretical underpinnings of Lean. Our next meeting is Tuesday, Nov 10 at 9:30am eastern time. If you are interested in joining the email list, please contact diana.halikias@nyu.edu. You can also view the slides from our first meeting on the website: dihalikias.github.io/lean-nla.html Diana Halikias and Haim Avron ------------------------------------------------------- From: Diana Halikias diana.halikias@nyu.edu Date: October 27, 2026 Subject: Lean + Numerical linear algebra working group We are running a biweekly working group over Zoom to discuss integrating Lean and NLA research. Topics include an NLA Lean library, incorporating Lean in combination with AI into our research workflows, proof formalization standards for the research community, and theoretical underpinnings of Lean. Our next meeting is Tuesday, Nov 10 at 9:30am eastern time. If you are interested in joining the email list, please contact diana.halikias@nyu.edu. You can also view the slides from our first meeting on the website: dihalikias.github.io/lean-nla.html Diana Halikias and Haim Avron ------------------------------------------------------- From: Constantinos Siettos constantinos.siettos@unina.it Date: October 29, 2026 Subject: Final call: ECSML 2027, Naples, Feb 2027 - Deadline Nov 1 FINAL CALL FOR SUBMISSIONS - Deadline: 1 November 2026 European Conference on Scientific Machine Learning with Applications in Science and Engineering (ECSML 2027) 8-10 February 2027, Naples, Italy We invite submissions to the first ECSML conference, bringing together researchers working on the mathematical foundations and applications of scientific machine learning. Topics include physics-informed learning, neural operators, numerical analysis-informed SciML, forward and inverse problems for PDEs and stiff ODEs, random feature and kernel methods, uncertainty quantification, data assimilation, optimization, and learning-based control of complex systems. Plenary speakers: Matthias Ehrhardt, Olga Fink, George Karniadakis, Yannis Kevrekidis, Alena Kopanicakova, Olga Mula, Alfio Quarteroni, Carola-Bibiane Schönlieb, Yue Yu. PhD students, postdoctoral researchers and early-career scientists are particularly encouraged to submit their work. The conference is under the patronage of INdAM and SIMAI. Submission deadline: 1 November 2026. Further information: https://sites.google.com/view/ecsml2027 ------------------------------------------------------- From: Pasqua D'Ambra pasqua.dambra@cnr.it Date: October 26, 2026 Subject: LSSC 2027: Reliable Approximate AMG - Call for Contributions We invite contributions to a special session at the International Conference on Large-Scale Scientific Computations (LSSC 2027), June 14-18, 2027, Sozopol, Bulgaria: Reliable Approximate Algebraic Multigrid for Energy- and Time-Efficient HPC on Emerging Architectures The session focuses on reliable approximate algebraic multigrid (AMG) methods for emerging HPC architectures. The goal is to exploit controllable approximations in data representation and computation to reduce time- and energy-to-solution while preserving robustness, convergence, and solution quality. Topics include but are not limited to: - Progressive, mixed, and variable precision in AMG; - Approximate and hierarchical data representations; - Adaptive precision and accuracy-aware computation; - Approximate AMG components and sparse kernels; - AMG preconditioning and Krylov iterative methods; - Convergence, error analysis, and robustness; - Communication-, memory-, and energy-efficient AMG; - Scalable implementations on emerging architectures. Contributions on theory, algorithms, software, and large-scale scientific applications are welcome. Organizers: A. Buttari, P. D'Ambra, S. Filippone Abstract submission deadline: January 15, 2027 Conference website: https://parallel.bas.bg/Conferences/SciCom27/ ------------------------------------------------------- From: Luis Nunes Vicente lnv@lehigh.edu Date: October 24, 2026 Subject: MOPTA 2027, August 17-18, Lehigh University MOPTA 2027, August 17-18, Lehigh University Lehigh University’s Industrial and Systems Engineering (ISE) Department invites you to participate in the Modeling and Optimization: Theory and Applications (MOPTA) 2027 Conference, to be held at Lehigh University in Bethlehem, PA, from August 17-18, 2027. MOPTA 2027 plenaries include: Radu Ioan Bot (Univ. Vienna) Michael Hewitt (Loyola Univ. Chicago) Daniel Kuhn (EPFL, Switzerland) Jim Luedtke (Univ. Wisconsin-Madison) Katya Scheinberg (Georgia Inst. Technology) Amy Ward (Univ. Chicago Booth) Important dates: Abstract Submission Deadline April 15, 2027 Early Registration Deadline May 15, 2027 Last Registration Deadline August 3, 2027 Competition Deadline May 15, 2027 For more information about MOPTA 2027 (including registration, abstract submission, and AIMMS-MOPTA Optimization Modeling Competition), please visit https://coral.ise.lehigh.edu/mopta2027 MOPTA 2027 Organizers Josline Mwape Luis Nunes Vicente ------------------------------------------------------- From: Haluk Sengun m.sengun@sheffield.ac.uk Date: October 23, 2026 Subject: Call for proposals: LMS-Sheffield Symposia 2028 Dear all, The London Mathematical Society (LMS) held its Call for Proposals for the LMS Mathematical Symposia to be held at the University of Sheffield in Summer 2028. https://sites.google.com/sheffield.ac.uk/lms-sheffield-symposium/home Starting life in 1974 as the LMS-Durham Symposia and then continuing as LMS-Bath Symposia after 2021, the LMS-Sheffield Mathematical Symposia will be held at the University of Sheffield between 2026 and 2030. The Symposia are an established and recognised series of international research meetings that provide an excellent opportunity to explore an area of research in depth, to learn of new developments, and to instigate links between different branches. Each event will receive funding of, roughly, £50k provided by EPSRC, the LMS, the International Centre for Mathematical Sciences (ICMS) and the Isaac Newton Institute (INI). Details can be found here: https://www.lms.ac.uk/events/mathematical-symposia#Future%20Symposia All the best, Haluk Sengun ------------------------------------------------------- From: Malena Sabate Landman Malena.SabateLandman@warwick.ac.uk Date: October 26, 2026 Subject: PhD Positions in Mathematics, University of Warwick The Mathematics Institute at Warwick is looking for PhD students for its Mathematics Centre for Doctoral Training (CDT), which is open to any area of mathematics. The first year combines taught modules with a research project; from the second year onward, students focus on their PhD projects. Details on the programme, funding, and how to apply can be found at https://warwick.ac.uk/ fac/sci/maths/studywithus/postgraduateresearch/. A number of fully funded four-year scholarships are available for international students. I am currently looking for a PhD student interested in working on linear discrete inverse problems and numerical linear algebra, so please forward this to anyone who might be interested, or get in touch with me directly at Malena.SabateLandman@warwick.ac.uk. ------------------------------------------------------- From: Jennifer Scott jennifer.scott@reading.ac.uk Date: October 28, 2026 Subject: PhD opportunities in Mathematics for our Future Climate, UK Applications are invited for the Centre for Doctoral Training in Mathematics for our Future Climate: Theory, Data and Simulation, starting in October 2027. The programme brings together mathematics, computing and climate science, with interdisciplinary research and collaboration with leading weather and climate organisations. I am involved in supervising three PhD projects at the University of Reading: - Accounting for model error in Earth system digital twins - Numerical methods for assimilating satellite altimetry data - Faster and greener data assimilation using mixed-precision algorithms The four-year studentships provide a stipend and cover tuition fees at the UK home-fee rate. International applicants are welcome to apply, but must cover the difference between the home and international tuition fees themselves, as well as any applicable visa costs and the Immigration Health Surcharge. For programme details and information on how to apply see https://www.reading.ac.uk/maths-and-stats/phd/mathematics-for-our-future-climate Queries may be sent to Admission.CDT-MFC@reading.ac.uk Please share with prospective applicants who have a strong mathematical background and an interest in applying mathematics to weather and climate challenges. ------------------------------------------------------- From: Lisa Binderlehner phd-ignidte@i-med.ac.at Date: October 27, 2026 Subject: Call for applications PhD position DC 5 - Deadline 10.12.2026 We are looking for someone who really enjoys mathematics: the focus is on the mathematics of diffusion models, ideally you have * a Master’s degree in mathematics, or in physics or computer science with a strong mathematical focus; * solid foundations in analysis, linear algebra and probability theory/stochastics; * programming skills in Python; * interest in inverse problems, generative models and machine learning. Purely application-oriented profiles without solid, documented mathematical training are not a good fit. Formal eligibility (as in the official call): * Master’s (or equivalent) degree, final certificate available by the call deadline; no doctoral degree yet. * MSCA mobility rule: not more than 12 months of living, working or studying in Austria in the 36 months before 10 December 2026. What we offer * Full-time doctoral employment contract for 3 years (40 h/week). * Salary from C 3,776.10 gross per month (level B1, Austrian universities’ collective agreement) plus allowances (about a third above most PhD contracts in Austria). *Enrolment in the doctoral programme in Mathematics at the University of Innsbruck, with structured training across both universities (winter schools, transferable-skills courses). * Two secondments at international academic and non-academic partner institutions. * A truly interdisciplinary environment between mathematics and clinical radiology – and life in the Alps. How to apply * Apply online: https://ignidte.i-med.ac.at/apply/ deadline 10th December 2026. • Select DC5 as your preferred doctoral project and include a 2-page research proposal for it. • Online interviews with shortlisted candidates: 18–31 January 2027; decisions by the end of February 2027. Questions about the project? Informal enquiries are welcome: Markus Haltmeier, markus.haltmeier@uibk.ac.at General questions about the programme and the application: phd-ignidte@i-med.ac.at ------------------------------------------------------- From: Lisa Binderlehner phd-ignidte@i-med.ac.at Date: October 27, 2026 Subject: Call for applications for 12 PhD positions We are looking for 12 motivated pre-doctoral students to join the project IGNIDTE “Image-guided Diagnostics and Therapy – Novelty, Internationality and Excellence”, a project of HORIZON EUROPE, funded under Marie Skłodowska-Curie Actions (MSCA). Interested candidates will be able to apply for project topics that combine applied research in clinical domains (Radiology, Cardiology, Oncology, Neuropathology, Nuclear Medicine) with methodological research in basic sciences (Computer Science, Mathematics, Biomedical physics, Biomedical engineering). You are expected to: * Produce a high-quality scientific thesis, to be openly accessible at university websites; * Publish your research results in peer-reviewed scientific journals and/or conferences, according to the requirements of the underlying curriculum; * Participate in scientific conferences during the PhD, also presenting your 1st author research work (as poster/oral presentation); * Contribute to organising a satellite conference to showcase the achievements of the PhD candidates, include prestigious invited speakers, supported by the supervisors; * Take part in public outreach events and science festivals, such as the European Researcher’s Night or Long Night of Science. In addition, you will engage in initiatives that promote and support women and non-binary scientists; * Complete offered secondments at academic and/or non-academic partner institutions worldwide; * Work closely with the supervisory team and contribute to interdisciplinary research discussions. We are looking forward to candidates who: * Are pre-doctoral applicants, meaning they do not already hold a doctoral degree; (exception medical doctoral degree) * Possess a relevant medical, dentistry, master’s (e.g. Mathematics, Computer Science, Data Science, etc.) or equivalent degree, depending on the project requirements (see project descriptions); * Fulfil the MSCA mobility rule: they must not have lived, worked or studied in Austria for more than 12 months in the 36 months before the call deadline; * Have not already been permanently employed by the host institution where the research training will take place. Applicants may apply before finishing their degree, but the final graduation certificate must be available before employment can start. What we offer * Full-time doctoral employment contract for 3 years (40 h/week). * Salary from C 3,776.10 gross per month (level B1, Austrian universities’ collective agreement) plus allowances (about a third above most PhD contracts in Austria). * Enrolment in the doctoral programme at the University of Innsbruck or the Medical University of Innsbruck, with structured training across both universities (winter schools, transferable-skills courses). * Two secondments at international academic and non-academic partner institutions. * A truly interdisciplinary environment – and life in the Alps. How to apply * Apply online: https://ignidte.i-med.ac.at/apply/ deadline 10th December 2026. * Online interviews with shortlisted candidates: 18–31 January 2027; decisions by the end of February 2027. General questions about the programme and the application: phd-ignidte@i-med.ac.at ------------------------------------------------------- From: Lisa Binderlehner phd-ignidte@i-med.ac.at Date: October 27, 2026 Subject: Call for applications PhD position DC 6 - Deadline 10.12.2026 We are looking for student with a masters degree and a strong mathematical background as well as coding skills in Python. You should be interested in * inverse problems * mathematical modelling * machine learning and optimization * development, implementation and evaluation of algorithms but direct experience in the field is not necessary. Ideally you have * a Master’s degree in mathematics with coding experience in Python; * a degree in physics or engineering with documented mathematical interrest (masters topic, elective subjects, ...) and coding experience; * a degree in computer science with also a strong mathematical focus. Purely application-oriented profiles without solid, documented mathematical training are not an ideal fit. Formal eligibility (as in the official call): * Master’s (or equivalent) degree, final certificate available before the employment starts; no doctoral degree yet. * MSCA mobility rule: not more than 12 months of living, working or studying in Austria in the 36 months before 10 December 2026. What we offer * Full-time doctoral employment contract for 3 years (40 h/week). * Salary from C 3,776.10 gross per month (level B1, Austrian universities’ collective agreement) plus allowances (about a third above most PhD contracts in Austria). * Enrolment in the doctoral programme in Mathematics at the University of Innsbruck, with structured training across both universities (winter schools, transferable-skills courses). * Two secondments at international academic and non-academic partner institutions. * A truly interdisciplinary environment between mathematics and clinical radiology – and life in the Alps. How to apply * Apply online: https://ignidte.i-med.ac.at/apply/ deadline 10th December 2026. * Select DC6 as your preferred doctoral project and include a 2-page research proposal for it. * Online interviews with shortlisted candidates: 18–31 January 2027; decisions by the end of February 2027. Questions about the project? Informal enquiries are welcome: Lukas Neumann, lukas.neumann@uibk.ac.at General questions about the programme and the application: phd-ignidte@i-med.ac.at ------------------------------------------------------- From: Jens-Peter M. Zemke zemke@tuhh.de Date: October 28, 2026 Subject: PhD Position at Hamburg University of Technology, Germany We offer a PhD position at the Institute of Mathematics at Hamburg University of Technology (TUHH). Your research will focus on the development of a hybrid linear system solver based on multigrid. Machine learning techniques will used to determine smoother, projector, floating point format, accuracy, and type of cycle. The position is at the chair of Numerical Mathematics headed by Prof. Dr. Sabine Le Borne, questions about the position should go to Dr. Jens-Peter M. Zemke. Salary is according to 13 TV-L for four years. A decent knowledge of the German language is needed, as teaching is an integral part of the position. Deadline for application is November 30th 2026. Further information (solely in German) can be found at https://stellenportal.tuhh.de/b3uat ------------------------------------------------------- From: Sebastian G. Mutz sebastian@sebastianmutz.com Date: October 26, 2026 Subject: PhD Position in Extreme Rainfall Risk Prediction at the University of Glasgow This project will identify combinations of factors that increase the risks associated with extreme rainfall in West Scotland. The project will build on advances in extreme value statistics and statistical downscaling and develop GPU-optimised predictive models (in Fortran) that are directly coupled to weather forecasts to estimate the probability of extreme rainfall and, ultimately, quantify the associated risks. The project is part of an exascale computing doctoral training programme. You can find more information about the project (RainX Risk), the doctoral training programme, and the application process here: https://www.exageo.org/phd-student-projects/ ------------------------------------------------------- From: Boyce Griffith boyceg@email.unc.edu Date: October 28, 2026 Subject: Postdoctoral Research Associate, University of North Carolina at Chapel Hill, Department of Mathematics The Department of Mathematics at the University of North Carolina at Chapel Hill invites applications for a postdoctoral position in the Cardiovascular Modeling and Simulation Laboratory (https://griffith.web.unc.edu). This position would support projects on (1) cardiac digital twins for heart failure and/or (2) cardiac fluid dynamics simulation software development in the Cardinal and IBAMR frameworks. The initial appointment would be for one year, with a potential for renewal. The start date is flexible but could be as early as December 1, 2026. Qualifications Required qualifications include: A PhD in Mathematics, Applied Mathematics, Computer Science, Biomedical Engineering, Mechanical Engineering, or a related field by the start date. Experience in cardiovascular modeling and simulation. Desirable qualification include: Experience with software development and/or high-performance computing. Experience working with compiled programming languages (C, C++, Fortran). Environment and Collaboration UNC Chapel Hill is part of the Research Triangle, with proximity to Duke University and North Carolina State University. The area offers numerous opportunities for collaboration across institutions. Chapel Hill and the surrounding area are known for their high quality of life, natural beauty, and cultural richness. Special Instructions: Applications should be submitted through UNC PeopleAdmin and include a cover letter, a CV, and a statement of research interests. In addition, three reference letters are required; letters will be requested directly through our reference portal. Review of applications will continue until the position is filled. Apply here: https://unc.peopleadmin.com/postings/326124 Position Details Start date: December 1, 2026 Duration: Initial appointment for one year, with the possibility of renewal. Salary range: Dependent on experience and/or qualifications For inquiries, please contact Prof. Boyce Griffith at: boyceg@email.unc.edu. The University of North Carolina at Chapel Hill is an equal opportunity and affirmative action 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. ------------------------------------------------------- From: Daniel B Szyld szyld@temple.edu Date: October 29, 2026 Subject: Assistant Prof. Position at Temple University, Philadelphia PA The Department of Mathematics at Temple University invites applications for a tenure-track position at the Assistant Professor level to begin on July 1, 2027. The target area of this search is in Applied and Computational Mathematics, broadly construed, though exceptional candidates in other fields will also be considered. Candidates must have a PhD in Mathematics or a related area at the time of appointment, as well as both proven research potential and a commitment to teaching. Applications are to be submitted through mathjobs.org and include: the standard AMS Cover Sheet for Academic Employment, a cover letter, a CV, a research statement, a teaching statement, and at least four letters of recommendation, one of which addresses teaching. Applicants are encouraged to use their cover letter to describe how their work connects to the department's research activities as well as activities in other departments at Temple University. Review of applications will begin on December 1, 2026, and will continue until the position is filled. All inquiries can be directed to mathematics@temple.edu. Temple University is an Affirmative Action/Equal Opportunity Employer. The search committee is especially interested in candidates who, through their research, teaching, and/or service, will contribute to the diversity and excellence of the academic community at Temple. ------------------------------------------------------- From: Ken Jackson krj@cs.toronto.edu Date: October 26, 2026 Subject: Tenure track faculty positions in Computer Science at the University of Toronto The Department of Computer Science at the University of Toronto invites applications for multiple tenure-track faculty positions. * The Department of Computer Science in the Faculty of Arts and Science at the St. George campus (UTSG) three full-time tenure stream positions at the rank of Assistant Professor. * The Department of Computer and Mathematical Sciences at the University of Toronto Scarborough (UTSC) three full-time tenure stream positions at the rank of Assistant Professor. * The Department of Mathematical and Computational Sciences at the University of Toronto, Mississauga (UTM) one open rank Assistant Professor/Associate Professor/Professor. We start reviewing applicants on December 1, 2026 and will accept applications until December 15, 2026. Find our official job ads and application forms at: https://web.cs.toronto.edu/employment-opportunities The Department of Computer Science at University of Toronto (St. George campus) is located at the heart of downtown Toronto, Canada. The University of Toronto Scarborough (UTSC) is on the east side of Toronto and the University of Toronto Mississauga (UTM) is a little west of Toronto. Toronto is a vibrant city, recognized for its safety and diversity. As a global tech hub and one of the most innovative cities in the world, Toronto offers opportunities for our faculty to contribute to and work with the world’s most cutting-edge companies. The University of Toronto is internationally recognized for its undergraduate and graduate programs in a wide variety of disciplines. The Department of Computer Science's award-winning faculty — we are home to one Nobel Prize winner, two Turing Award winners, six ACM fellows and eight Fellows of the Royal Society of Canada — are recognized internationally and are renowned for their commitment to research and teaching. ------------------------------------------------------- From: Engineering and Applied Science Division isc-search@caltech.edu Date: October 27, 2026 Subject: 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 and tenured faculty positions. Preference will be given to candidates at the Assistant Professor level; however, extraordinary applicants at the Associate Professor or Full Professor level may also be considered. We seek highly qualified candidates who are committed to a career in teaching, mentoring, and research excellence in the broad areas of Information, Systems, and Computing. Applicants should have a record of innovation in a relevant research domain, including—but not limited to—applied and computational math, computer science, machine learning and artificial intelligence, optimization, control & dynamics, robotics & autonomy, signal processing, information theory, quantum computation, and the mathematics of data and models. This is a joint search among 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 16th. Full consideration will be given to applications that are completed by December 14, 2026. The appointment is contingent upon completion of the Ph.D. degree in an appropriate engineering or science related discipline. Applications should include: - A brief cover letter, - Curriculum vitae, - Relevant publications, - A research statement describing research highlights and future goals and plans, and - 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 environment for the development of scholars who come to Caltech with many different perspectives and experiences. Salaries for professorial faculty at Caltech fall in the range of $125k – $400k. Questions about the application process may be directed to isc-search@caltech.edu. Apply: https://applications.caltech.edu/jobs/isc Caltech is an equal opportunity employer and, as a federal contractor, takes affirmative action to employ qualified individuals with disabilities and protected veterans. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic protected by law. ------------------------------------------------------- From: Yury Korolev ymk30@bath.ac.uk Date: October 29, 2026 Subject: Lecturer (Assistant Professor) position in Numerical Analysis & Data Science at Bath (UK) The Department of Mathematical Sciences at the University of Bath (UK) invites applications for a Lecturer (equivalent to Assistant Professor) position in Numerical Analysis & Data Science. This is a permanent position subject to a successful completion of a probation period; the process is non-competitive and colleagues are supported in passing the probation successfully. The successful candidate will join the Numerical Analysis & Data Science group. Details about our research can be found on our web site (https://bath-numerical-analysis.github.io/). For more information about the application process please visit https://www.bath.ac.uk/jobs/Vacancy.aspx?id=30235. The deadline for applications is Wednesday 16 December 2026. ------------------------------------------------------- From: Charley Denton cdenton@aimsciences.org Date: October 23, 2026 Subject: Contents, AIMS New Volume: CPAA Vol. 39 Communications on Pure and Applied Analysis Volume: 39 March 2027 https://www.aimsciences.org/cpaa/article/2027/39/0 Entire solution of eiconal type partial differential equations Nabadwip Sarkar On Courant-type bounds and spectral partitioning via Neumann domains on quantum graphs Luís N. Baptista and Matthias Hofmann Existence of solutions for a perturbed Euclidean spinorial Yamabe equation Ting Li, Zhongwei Tang and Yuhang Zhang Nishida-Smoller Type Large Solutions to the 3D Compressible MHD Equations with Slip Boundary Conditions in Exterior Domains Suyang Feng and Yinghui Zhang The L∞ estimate for fully nonlinear parabolic equations Xiangwen Zhang and Qizhi Zhao Liouville Type Results for Quasilinear Elliptic Inequalities Involving Gradient Terms on Weighted Graphs Anh Tuan Duong, Yao Liu, Nguyên Công Minh, Dao Trong Quyet and Yuhua Sun Read more articles here: https://www.aimsciences.org/cpaa/article/2027/39/0 ------------------------------------------------------- From: Charley Denton cdenton@aimsciences.org Date: October 23, 2026 Subject: Contents, AIMS New Volume: MCRF Vol. 20 Mathematical Control and Related Fields Volume: 20 March 2027 https://www.aimsciences.org/mcrf/article/2027/20/0 Optimal boundary control for the Cahn-Hilliard-Navier-Stokes equations Manika Bag, Tania Biswas and Sheetal Dharmatti Boundary control of the porous elastic system M. L. Santos Discrete-time minimax hybrid control with cost constraints Cristian F. Correa-Rozo and Héctor Jasso-Fuentes New exploration on the nonlinear fractional neutral-type integro-differential delayed system with nonlocal conditions: Existence, uniqueness and controllability Sona Kanwar, Om Prakash Kumar Sharma, Ramesh Kumar Vats and Ankit Kumar Stochastic optimal impulse controls with changing running costs Yuchen Cao and Jiongmin Yong A bang-bang solution with infinitely many switching points for a parabolic boundary control problem with terminal observation Constantin Christof Read more articles: https://www.aimsciences.org/mcrf/article/2027/20/0 ------------------------------------------------------- End of Digest **************************