Subject: NA Digest, V. 22, # 24 NA Digest Friday, July 15, 2022 Volume 22 : Issue 24 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: New Book, Evaluation Complexity of Algorithms New Book, Foundations of Computational Imaging New Book, Numerical Infinities and Infinitesimals in Optim Fractional Models in Engineering, Germany, Sep 2022 Sayas Numerics Day, USA, Sep 2022 SIAM Central States Section Meeting, USA, Oct 2022 SIAM Washington DC Section Meeting, USA, Nov 2022 ECCOMAS-IACM Math 2 Product, Italy, May 2023 Large-Scale Scientific Computations, Bulgaria, Jun 2023 Research Technician Position, ML/Optimization, BCAM Postdoc Position, Computational Science, Lawrence Berkeley NL Postdoc Position, Grammar-guided Multigrid, Cerfacs, France Postdoc Position, NA and Machine Learning, GSSI-SNS, Italy Postdoc Position, Tomography Image Reconstruction Postdoc Positions, Univ of Southern California Postdoc/Research Associate Positions, MSU PhD/Postdoc Position, Applied Functional Analysis, TU Chemnitz PhD Position, Radboud Univ/Alliander PhD Position, TRANSMATH Lab, BCAM PhD Position,Numerical Analysis,RWTH Aachen Univ PhD Positions, Mathematics, Cardiff Univ, UK Contents, Evolution Equations and Control Theory, 11 (4) Subscribe, unsubscribe, change address, or for na-digest archives: http://www.netlib.org/na-digest-html/faq.html Submissions for NA Digest: http://icl.utk.edu/na-digest/ ------------------------------------------------------- From: Mitch Graham [log in to unmask] Date: July 08, 2022 Subject: New Book, Evaluation Complexity of Algorithms Evaluation Complexity of Algorithms for Nonconvex Optimization: Theory, Computation, and Perspectives From Coralia Cartis, Nicholas I. M. Gould, and Philippe L. Toint, this is the go-to book for anyone interested in solving nonconvex optimization problems. It is the first book on evaluation complexity to cover topics such as composite and constrained optimization, derivative-free optimization, subproblem solution, and optimal (lower and sharpness) bounds for nonconvex problems. It is also the first to address the disadvantages of traditional optimality measures and propose useful surrogates leading to algorithms that compute approximate high-order critical points, and to compare traditional and new methods, highlighting the advantages of the latter from a complexity point of view. June 2022 / xviii + 531 pages / Hardcover / 978-1-611976-98-4 / MO30 Bookstore Link https://my.siam.org/Store/Product/viewproduct/?ProductId=41813864 ------------------------------------------------------- From: Mitch Graham [log in to unmask] Date: July 08, 2022 Subject: New Book, Foundations of Computational Imaging Collecting a set of classical and emerging methods not available in a single treatment, Foundations of Computational Imaging: A Model-Based Approach by Charles A. Bouman is the first book to define a common foundation for the mathematical and statistical methods used in computational imaging. The book brings together a blend of research with applications in a variety of disciplines, including applied math, physics, chemistry, optics, and signal processing, to address a collection of problems that can benefit from a common set of methods. July 2022 / xii + 337 pages / Softcover / 978-1-611977-12-7 / List $84.00 / SIAM Member $58.80 / OT180 Bookstore Link https://my.siam.org/Store/Product/viewproduct/?ProductId=42408254 ------------------------------------------------------- From: Dmitri Kvasov [log in to unmask] Date: July 09, 2022 Subject: New Book, Numerical Infinities and Infinitesimals in Optim The new Springer book "Numerical Infinities and Infinitesimals in Optimization" https://link.springer.com/book/10.1007/978-3-030-93642-6 edited by Yaroslav D. Sergeyev (University of Calabria, Italy) and Renato De Leone (University of Camerino, Italy) contains contributions of 22 authors using in optimization a new powerful supercomputing paradigm http://www.theinfinitycomputer.com/ allowing to numerically work with different infinities and infinitesimals on the Infinity Computer patented in several countries. This is the first book presenting to the readers interested in optimization the advantages of the paradigm. The volume provides a friendly introduction to the paradigm and a broad panorama of killing applications of the Infinity Computer in optimization: radically new numerical algorithms, great theoretical insights, efficient software implementations, and interesting practical case studies. One of the editors of the book is the creator of the Infinity Computer, and another editor was the first who has started to use it in optimization. Their results were awarded by numerous scientific prizes. This engaging book opens new horizons for researchers, engineers, professors, and students with interests in supercomputing paradigms, optimization, decision making, game theory, and foundations of mathematics and computer science. This volume is a part of the Springer book series Emergence, Complexity and Computation. ------------------------------------------------------- From: Kai Diethelm [log in to unmask] Date: July 07, 2022 Subject: Fractional Models in Engineering, Germany, Sep 2022 The University of Stuttgart will organize a blended intensive programme on fractional models in engineering. The course will contain a presence phase to be held in Stuttgart from 12 September until 24 September and a subsequent online phase. It is directed towards masters students, Ph D students and active senior researchers who are interested in gaining insight into the applications of fractional calculus in various fields of engineering and into the related numerics. Full information is available at https://www.inm.uni-stuttgart.de/aktuelles/news/Erasmus-Blended-Intensive-Programme-BIP-organized-by-INM/ Registration is open now; contact details are given at the website above. ------------------------------------------------------- From: Tobias von Petersdorff [log in to unmask] Date: July 08, 2022 Subject: Sayas Numerics Day, USA, Sep 2022 SAYAS NUMERICS DAY 9am to 6pm, September 17, 2022 University of Maryland at Baltimore County This annual workshop (formerly DelMar Numerics Day) displays the diversity of research in computational mathematics in Maryland, Virginia, Delaware and vicinity. The meeting is named in honor of Francisco Javier Sayas (1968-2019). He played a key role in establishing and running DelMar Numerics Day, and was dedicated to its mission of giving especially younger mathematicians an opportunity to share their work. Karen Willcox (Univ. of Texas at Austin) will give the keynote talk: Beyond forward simulations: From reduced-order models to digital twins with computational science There will be 12 contributed talks (20 min. each), selected by the scientific committee to represent diverse topics of research in computational mathematics. Registration is free. We particularly encourage graduate students and young researchers to attend and submit talks. The deadline for submitting talks is August 31, 2022. http://numericsday.math.umd.edu ------------------------------------------------------- From: Xu Zhang [log in to unmask] Date: July 07, 2022 Subject: SIAM Central States Section Meeting, USA, Oct 2022 We have extended the deadline for submitting Mini-symposium Proposals for SIAM Central States Section Annual Meeting to July 31, 2022. Please note that each mini-symposium may consist of up to 4 sessions. Each session contains 4 talks (20 minutes for each talk). Please also note other deadlines listed as follows - July 31, 2022: Contributed talks and poster presentation - August 31, 2022: Financial support application - August 31, 2022: Early bird conference registration (with reduced rate). For more information of the conference, please visit the conference website https://siamcss2022.okstate.edu If you have any question, please send an email to [log in to unmask] ------------------------------------------------------- From: Harbir Antil [log in to unmask] Date: July 07, 2022 Subject: SIAM Washington DC Section Meeting, USA, Nov 2022 We cordially invite you to participate in the in-person SIAM Washington DC Section Meeting on November 4, 2022 (Friday) from Noon-5PM in Arlington, Virginia. The meeting consists of: 1) Keynote talks: - Howard C Elman (University of Maryland, College Park) - Stefan Wild (Argonne National Lab) 2) Panel led by program officers from three funding agencies: - National Science Foundation (NSF) - Air Force Office of Scientific Research (AFOSR) - Office of Naval Research (ONR) 3) Poster session by students, postdocs and early career researchers. Please see the meeting website for more details. Everyone is welcome to attend but registration is mandatory (https://math.gmu.edu/~hantil/SIAM/Fall2022/). Please let us know if there are there are any questions. ------------------------------------------------------- From: Matteo Giacomini [log in to unmask] Date: July 14, 2022 Subject: ECCOMAS-IACM Math 2 Product, Italy, May 2023 We are pleased to announce the inaugural edition of the ECCOMAS Thematic Conference - IACM Special Interest Conference series "Math 2 Product (M2P): Emerging Technologies in Computational Science for Industry, Sustainability and Innovation". The conference will take place in Taormina (Sicily, Italy) from May 30 to June 1, 2023 (we refer to the website https://m2p2023.cimne.com/ for more information). The goal is to establish the M2P conference series as a recognised international platform to promote a deep interplay between academic and industrial realities, covering current and new trends in industry 4.0, sustainability and innovation. Plenary lectures will be delivered by Irene Arias (Universitat Politecnica de Catalunya, Spain), Charbel Farhat (Stanford University, USA), Paola Goatin (Inria, France) and Ricardo Vinuesa (KTH Royal Institute of Technology, Sweden). Confirmed industrial partners: ATM (Italy), Bracco (Italy), Cetena (Italy), Dofware (Italy), Electrolux (Italy), Micron (Italy), NVIDIA (UK), Pirelli (Italy), PoliHub Milano (Italy), Scuderia Alpha Tauri (Italy), Siemens (Germany), Tenova (Italy), Thales (France), Trenord (Italy), Volkswagen (Germany). The call for minisymposia proposals is currently open. Proposals including the title of the Invited Session and the name of the organisers should be submitted by e-mail to [log in to unmask] by July 31, 2022. An abstract will be required at a later stage. ------------------------------------------------------- From: Svetozar Margenov [log in to unmask] Date: July 09, 2022 Subject: Large-Scale Scientific Computations, Bulgaria, Jun 2023 The 14th International Conference "Large-Scale Scientific Computations" will take place in June 5-9, 2023, Sozopol, Bulgaria: http://parallel.bas.bg/Conferences/SciCom23/ Topics: hierarchical, adaptive, domain decomposition and local refinement methods; robust preconditioning algorithms; Monte Carlo methods and algorithms; numerical linear algebra; control systems; parallel algorithms and performance analysis; large-scale computations of environmental, biomedical and engineering problems. Plenary invited speakers: Boian Alexandrov (Los Alamos National Laboratory, USA); Daniele Boffi (King Abdullah University of Science and Technology, Thuwal, Saudi Arabia); Maya Neytcheva (Uppsala University, Sweden); Geraldine Pichot (INRIA, Paris, France); Joachim Schoberl (Vienna University of Technology, Austria); Ivan Yotov (University of Pittsburgh, USA). Applications for organizing special sessions are welcome till September 30, 2020. Conference chairman: Svetozar Margenov Conference secretary: Silvia Grozdanova E-mail: [log in to unmask] ------------------------------------------------------- From: Idoia Hernandez [log in to unmask] Date: July 08, 2022 Subject: Research Technician Position, ML/Optimization, BCAM Basque Center for Applied Mathematics is offering a Research technician position to work in Applications of machine learning and heuristic optimization to real-world problems with Dr Aritz Perez: 1) Formalize a clustering and classification problem to support language teaching decisions. 2) Formalize the multi-objective optimization problem of warehouse management and design a suitable heuristic algorithm to solve it. Deadline: 15 July 2022 Applications at: http://www.bcamath.org/en/research/job/ic2022-06-research-technician-in-applications-of-machine-learning-and-heuristic-optimization Contract: 6 months with possible extension Requirements: Experience programming with Python. Have obtained a degree in mathematics, computer science or physics within the last 5 years. Skills: Ability to present and publish research outcomes in spoken (talks) and written (papers) form. Ability to write technical reports. Demonstrated ability to work independently and as part of a collaborative research team. Fluency in spoken and written Spanish. Experience in supervised classification and multiobjective heuristic optimization. The preferred candidate will have: Good programming skills in Python. Background in machine learning Background in heuristic optimizacion Background in mathematics/probability/statistics. Interest and disposition to work in an interdisciplinary group. ------------------------------------------------------- From: Yang Liu [log in to unmask] Date: July 14, 2022 Subject: Postdoc Position, Computational Science, Lawrence Berkeley NL Berkeley Lab's (LBNL) Scalable Solvers Group in the Applied Mathematics and Computational Research Division has an opening for a Computational Science Postdoctoral Scholar in the area of plasma simulation and machine learning. The project involves the development of alternatives to particle-in-cell algorithms, as well as machine learning based surrogate simulators for kinetic modeling of particle accelerators and fusion devices. Application link: https://lbl.taleo.net/careersection/2/jobdetail.ftl?lang=en&job=96330 What You Will Do: Develop efficient first-principle algorithms for kinetic plasma simulation of particle accelerators and fusion devices. Develop physics-informed machine learning algorithms as surrogate simulators for particle accelerators and fusion devices. Develop high-performance machine learning packages that can be integrated with existing particle-in-cell or fluid-based codes. Work in a multidisciplinary team environment including mathematicians, computer scientists, and domain scientists. Write peer-reviewed journal articles and attend international/domestic conferences. What is Required: Ph.D. in Mathematics, Computer Science, Computational Science, Physics, Engineering, or equivalent. Expertise in computational electromagnetics or plasma simulation with at least one of the following experiences: particle-in-cell, boundary element method, time-domain simulation, and fast analytical or algebraic algorithms. Proficiency in a high-performance programming language including C/C++/Fortran and MPI. Desired Qualifications: Knowledge of machine learning algorithms and fast numerical linear algebra. ------------------------------------------------------- From: Carola Kruse [log in to unmask] Date: July 08, 2022 Subject: Postdoc Position, Grammar-guided Multigrid, Cerfacs, France A two-year Postdoc position is available at Cerfacs, Toulouse. The project aims to develop concepts and a toolchain based on artificial intelligence to automatically generate a performant preconditioner for a Krylov subspace iterative solver for the solution of linear systems arising from a discretized Stokes problem. We will focus in particular on a geometric multigrid preconditioner for the (1,1)-block, here, the Laplace operator, to ensure the scalability of the solver when passing to large-scale problems. The solver will be broken down into components, which are then recombined in an optimal manner for predefined criteria, using evolutionary algorithm design techniques. The particular difficulty to develop such a toolchain for saddle point systems is the large number of possible combinations of solution techniques, e.g., preconditioned Krylov subspace solvers, Schur complement approaches, deflation and augmentation techniques, or also monolithic multigrid solvers on the whole block system. As final step, we envisage to obtain executable code applying the best guess solver through automatic code generation. Required profile: PhD with experience in one or several of the following domains: applied mathematics, computer science, iterative solvers, numerical linear algebra, artificial intelligence, high performance computing. Further information is available at https://cerfacs.fr/offer/2-years-postdoc-project-grammar-guided-multigrid-solver-optimization-for-the-stokes-equations/ ------------------------------------------------------- From: Francesco Tudisco [log in to unmask] Date: July 15, 2022 Subject: Postdoc Position, NA and Machine Learning, GSSI-SNS, Italy Gran Sasso Science Institute (GSSI) and Scuola Normale Superiore (SNS) have a joint opening for a Postdoctoral Fellow position on the analysis and training of neural dynamical systems. The successful candidate will collaborate with faculty members at GSSI and SNS, developing novel techniques and algorithms for neural networks defined via nonlinear systems of ODEs and PDEs, combining techniques from Numerical Analysis, Network Science and Machine Learning. This is a two year position, with the first year spent at GSSI in L'Aquila and the second year at SNS in Pisa, coordinated by the three PIs: Michele Benzi (SNS), Nicola Guglielmi (GSSI), Francesco Tudisco (GSSI). We are looking for candidates who have a PhD in Mathematics, Physics, Computer Science or related disciplines and who have research experience in one or more of the following areas: numerical linear algebra and matrix theory; (numerical methods for) dynamical systems; numerical optimization and applications; matrix methods in systems theory and data science; (mathematics of) machine learning and compressed sensing; graph theory and network science. Deadline for application: August 11, 2022 To apply and for more information, please see: https://amministrazionetrasparente.sns.it/bando/numerical-stability-neural-dynamical-systems For inquiries, please do not hesitate writing to: [log in to unmask] ------------------------------------------------------- From: Simon Arridge [log in to unmask] Date: July 11, 2022 Subject: Postdoc Position, Tomography Image Reconstruction Duties and Responsibilities: UCL's Department of Computer Science conducts internationally leading research across a broad range of theoretical and applied topics. This post will build on considerable experience in developing novel approaches to ultrasound tomography and photoacoustic tomography gained through a long term collaboration with UCL's Photoacoustic Imaging and Biomedical Ultrasound Groups. Duties of the research associate include developing and conducting individual and collaborative research objectives, proposals and projects as part of the overall work of the Ultrasound Computed Tomography project. The research associate must be able to communicate material of a technical nature and be able to build internal and external contacts. They may be asked to assist in the supervision of student projects, the development of student research skills, provide instruction and plan/deliver seminars relating to the research area of the project. Key Requirements Applicants must have (or be about to receive) a PhD degree in mathematics or statistics (or a closely related discipline). The ideal candidates will be experienced in one or more of the following areas: inverse problems, mathematical imaging, analytical and computational methods for solving partial differential equations, optimisation. Experience in programming is highly desirable (e.g. MATLAB / Python/C++). Further Details: https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTg4NTY0MSZ2dF90ZW1wbGF0ZT05NjUmb3duZXI9NTA0MTE3OCZvd25lcnR5cGU9ZmFpciZicmFuZF9pZD0wJmpvYl9yZWZfY29kZT0xODg1NjQxJnBvc3RpbmdfY29kZT0yMjQ= Informal enquiries to : Simon Arridge : [log in to unmask] Ben Cox : [log in to unmask] ------------------------------------------------------- From: Roger Georges Ghanem [log in to unmask] Date: July 13, 2022 Subject: Postdoc Positions, Univ of Southern California Three postdoc positions are available on a number of projects at the University of Southern California. The projects involve applications to 1) thermomechanical failure mechanisms of thin films, 2) complex reactive flows, and 3) modeling of multiphase materials. The successful applicants must have interest in all and expertise in at least one of computational statistics, optimization and physics, in connection with one of the above applications. Applicants should email a current CV and the names of two references to: [log in to unmask] . These positions are available immediately and until filled. ------------------------------------------------------- From: Guowei Wei [log in to unmask] Date: July 08, 2022 Subject: Postdoc/Research Associate Positions, MSU Multiple postdoc positions are available in the Wei lab for - AI-based drug design and discovery - Bioinformatics/protein engineering/single cell RNA seq. - Machine learning/deep learning - Computational topology/geometry/graph/algebra The ideal candidates will have extensive experience in code development, have demonstrated the potential for excellence in research, and must hold a recent Ph.D. degree in either computational biophysics, computational mathematics, computational chemistry, or bioinformatics. Salary depends on experience. The positions enjoy standard faculty health benefit. Please send CV to [log in to unmask] ------------------------------------------------------- From: Franziska Nestler [log in to unmask] Date: July 11, 2022 Subject: PhD/Postdoc Position, Applied Functional Analysis, TU Chemnitz The Faculty of Mathematics, Chair of Applied Functional Analysis, has a vacancy for the BMBF-funded AI junior research group SALE (Focus: Fast Algorithms for Explainable Recommendation Systems) for the following position: Research Assistant (100%, salary group 13 TV-L), limited until 30th September 2024. Responsibilities: Research in the field of applied functional analysis, high-dimensional approximation methods, Fourier-based methods, fast algorithms, and machine learning. Further development of fast algorithms for high-dimensional approximation and implementation of application examples. You use your research results for scientific publications and your own qualification. If you are attracted by working in an interdisciplinary, highly motivated team and by the academic examination of a topic of high mathematical relevance, you should meet the following requirements: Completed academic university degree in mathematics, which gives access to the corresponding qualification level, Prior knowledge in the areas of Matrix Methods for Data Science, Applied Functional Analysis, Fourier Methods, and in the area of Machine Learning, Programming experience in Julia or a comparable modern programming language. Applications should be sent with the usual documents to the address below by 15.08.2022 (electronically or by post). Please note that, for security reasons, no electronic applications or attachments to applications made available for download via hyperlinks to third parties can be considered in the recruitment process. Contact: Dr. Franziska Nestler Chemnitz University of Technology Department of Mathematics 09107 Chemnitz e-mail: [log in to unmask] Further Information: Chair on Applied Functional Analyis: https://www-user.tu-chemnitz.de/~potts/index_eng.php Junior Research Group SALE: https://www.tu-chemnitz.de/mathematik/sale/index.php.en ------------------------------------------------------- From: Laura Scarabosio [log in to unmask] Date: July 07, 2022 Subject: PhD Position, Radboud Univ/Alliander At Radboud University (Nijmegen, the Netherlands), we are looking for a Energy data expert/ PhD Candidate - Uncertainty quantification of models for temperature of power cables. In this dual position, the candidate will work at Alliander, one of the Netherlands' largest energy network operators, on making their energy systems smart and efficient, and perform the necessary academic research to make this possible at the Radboud University with Prof. Gabriel Lord and Dr. Laura Scarabosio. According to the skills and interests of the candidate, the project will focus more either on the forward or on the inverse problem. The application procedure and more details on the project can be found at: https://werkenbij.alliander.com/vacature/energy-data-expert-phd-candidate/JR06319/ or by contacting either Gabriel Lord ([log in to unmask]) or Laura Scarabosio ([log in to unmask]). ------------------------------------------------------- From: Idoia Hernandez [log in to unmask] Date: July 14, 2022 Subject: PhD Position, TRANSMATH Lab, BCAM Basque Center for Applied Mathematics is offering a PhD position in the framework of Trans-Border Coperation-Transmath. Trans-border Cooperation (LTCs) are a formula for collaboration that have been developed since 2015 in the frame of the Campus Euskampus-Bordeaux. LTCs were created to provide an institutional framework for research teams from the Basque country and from Bordeaux working together. More concretely, the Transborder Mathematics Laboratory, will focus on strengthening the research in Applied Mathematics in the following areas: - MATHDES: Mathematical Design, Modeling, and Simulations (MATHDES) group works on the design, analysis, implementation, and optimization of numerical schemes for mathematical models arising from real-life applications - APDE: Linear and Non-Linear Waves, Applied Analysis and Harmonic Analysis Deadline: 22 July 2022 Applications at: http://www.bcamath.org/en/research/job/ic2022-07-phd-position-in-the-framework-of-the-transmath-lab Contract: 3 years Requirements: Bachelor's and Master's degree in Physics, Enginering or Applied Mathematics. Any candidate with a supervisor at BCAM and a supervisor in Bordeaux could apply to this call. Skills: Applicants must have an excellent academic record. Good communication and interpersonal skills. Good command of spoken and written English. Ability to clearly present and publish research outcomes in spoken (talks) and written (papers) form. Strong analytical and problem-solving skills. Demonstrated ability to work independently and as part of a collaborative research team. ------------------------------------------------------- From: Arnold Reusken [log in to unmask] Date: July 07, 2022 Subject: PhD Position,Numerical Analysis,RWTH Aachen Univ At the Chair for Numerical Mathematics of RWTH Aachen University we offer a PhD position in the field of Numerical Analysis. In our group we work on analysis, implementation and application of numerical simulation methods for partial differential equations. Main research topics are on numerical methods for two-phase incompressible flow problems and for partial differential equations on surfaces. More information on these topics can be found on https://www.igpm.rwth-aachen.de/team/reusken A research position for four years is available in our group. Research will be on a topic in the field of numerical methods for partial differential equations, e.g. discretization methods for two-phase incompressible flow problems or for PDEs on surfaces, or numerical methods for harmonic map heat flow problems. The candidate has to participate in covering the teaching obligations at the Chair for Numerical Mathematics. Applicants should have a master degree in mathematics, computational engineering or a related field and have a solid background in numerical methods for PDEs. The position is to be filled as soon as possible. The successful candidate has the opportunity to pursue a doctoral degree. The salary corresponds to pay grade EG 13 TV-L of the German public service salary scale (TV-L). Applications will be accepted until the position is filled. To apply, please send your application materials (motivation letter, CV, statement of research interests, transcripts) to Prof. Dr. Arnold Reusken ([log in to unmask]). Informal inquiries are welcome. ------------------------------------------------------- From: Tim Phillips [log in to unmask] Date: July 11, 2022 Subject: PhD Positions, Mathematics, Cardiff Univ, UK Cardiff School of Mathematics is offering up to five fully-funded PhD studentships in any of its research areas. Candidates can apply via https://www.cardiff.ac.uk/study/postgraduate/research/programmes/prog ramme/mathematics until 22 July 2022. Cardiff's School of Mathematics provides an excellent postgraduate research environment including: our new purpose-built research facilities at Abacws (co-designed by our PGR community), a vibrant research culture including a wide range of research events, access to national course centres in mathematics, statistics and OR, comprehensive professional skills training offered by Cardiff's Doctoral Academy. The PGR community is very active in running the SIAM-IMA Student Chapter, a valuable forum for exchange of ideas and public engagement. Each 3.5 year studentship includes fees, stipend at the UKRI rate and a Research Training Support Grant to cover costs such as research consumables, training, conferences and travel. The studentships are available for UK home students. ACADEMIC CRITERIA: A 1st or upper 2nd class UK Honours degree (or equivalent) and/or a Master's degree in mathematics or a suitable related subject is required. Applicants for whom English is not their first language must demonstrate their proficiency by obtaining an IELTS score of at least 6.5 overall, with a minimum of 5.5 in each skills component. Cardiff University is committed to supporting and promoting equality and diversity and to creating an inclusive research environment. We particularly welcome applications from underrepresented groups. SUPPORTING DOCUMENTS: Curriculum vitae, A personal statement, Two completed references, Degree certificates and transcripts, Proof of English language (if applicable). An indicative list of research areas at Cardiff School of Mathematics can be found here: https://www.cardiff.ac.uk/study/postgraduate/research/programmes/programme/mathematics Please direct area and project-specific enquiries to the respective member of academic staff: https://www.cardiff.ac.uk/mathematics/people/academic-and-research-staff Shortlisted candidates will be invited to attend an interview in August. ------------------------------------------------------- From: Irena Lasiecka [log in to unmask] Date: July 06, 2022 Subject: Contents, Evolution Equations and Control Theory, 11 (4) Contents of Evolution Equations and Control Theory, vol 11, Nr $ [June 2022], https://www.aimsciences.org//journal/A0000-0000 1.On a second-order functional evolution problem with time and state dependent maximal monotone operators, Soumia Saidi 2. Approximate controllability of fractional neutral evolution systems of hyperbolic type, Xuan-Xuan Xi, Mimi Hou, Xian-Feng Zhou and Yanhua Wen 3. Exact boundary null controllability for a coupled system of plate equations with variable coefficients, Fengyan Yang 4. Stabilization of higher order Schrodinger equations on a finite interval: Part II, Turker Ozsari and Kemal Cem Y1lmaz 5. Existence and general decay of Balakrishnan-Taylor viscoelastic equation with nonlinear frictional damping and logarithmic source term, Mohammad Al-Gharabli, Mohamed Balegh, Baowei Feng, Zayd Hajjej and Salim A. Messaoudi 6.Global classical and weak solutions of the prion proliferation model in the presence of chaperone in a Banach space, Kapil Kumar Choudhary, Rajiv Kumar and Rajesh Kumar 7. New criteria for exponential stability in mean square of stochastic functional differential equations with infinite delay, Pham Huu Anh Ngoc 8. Optimal time-decay rate of global classical solutions to the generalized compressible Oldroyd-B model, Shuai Liu and Yuzhu Wang 9. Well-posed control problems related to second-order differential inclusions, Doria Affane and Mustapha Fateh Yarou 10. Local null controllability of a class of non-Newtonian incompressible viscous fluids, Pitagoras Pinheiro de Carvalho, Juan Limaco, Denilson Menezes and Yuri Thamsten 11. Stackelberg-Nash null controllability of heat equation with general dynamic boundary conditions, Idriss Boutaayamou, Lahcen Maniar and Omar Oukdach 12. On periodic solutions to a class of delay differential variational inequalities, Nguyen Thi Van Anh 13. Telegraph systems on networks and port-Hamiltonians. I. Boundary conditions and well-posedness, Jacek Banasiak and Adam BBoch 14. Solution stability to parametric distributed optimal control problems with finite unilateral constraints, Nguyen Hai Son 15. The method of extremal shift in control problems for evolution variational inequalities under disturbances, Vyacheslav Maksimov 16. Sufficient conditions for the continuity of inertial manifolds for singularly perturbed problems, Ahmed Bonfoh 17. Linear subdiffusion in weighted fractional Holder spaces, Mykola Krasnoschok and Nataliya Vasylyeva 2021 Impact Factor: 1.169 5 Year Impact Factor: 1.294 ------------------------------------------------------- End of Digest **************************