Subject: NA Digest, V. 21, # 27 NA Digest Sunday, July 25, 2021 Volume 21 : Issue 27 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: Ghana Numerical Analysis Day, ONLINE, Aug 2021 Induction Course for New Lecturers, HYBRID, Sep 2021 Matrix Equations and Tensor Techniques, Italy, Sep 2021 Tribute to Françoise Chatelin, France, Oct 2021 Research Assistant Position, Trier Univ Postdoc Position, Computational Biomechanics, TU Kaiserslautern PhD Position, Numerical Weather Prediction, Univ of Reading, UK PhD Position, Robust ML/Data-driven Optimization, Germany PhD Position, Univ of Reading/Rutherford Appleton Laboratory, UK PhD Positions, PharMetrX, Potsdam/Berlin, Germany 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: Stephen Moore [log in to unmask] Date: July 23, 2021 Subject: Ghana Numerical Analysis Day, ONLINE, Aug 2021 Ghana Numerical Analysis invites you to its maiden Ghana Numerical Analysis Day (ONLINE) from August 25-26, 2021. The goal of this workshop is to inform about research activities in the areas of numerical analysis and applied mathematics. Students, post-docs, faculty and scientists from Ghanaian universities and other research institutions are invited to present their results/interests and discuss their ideas. Apart from strengthening already established contacts, this workshop also hopes to provide an opportunity to start new collaborations. It will be a two-day event with contributed talks of 20 minutes including questions and 5 minutes for Poster presentation. There is no registration fee, however, all interested participants are required to register. Registration to participate via online platform and to receive the link is open on the workshop website via https://sites.google.com/view/ghananumericals/workshops-conferences/ghana-numerical- analysis-day-2021 The application deadline is August 14, 2021. ------------------------------------------------------- From: Pamela Bye [log in to unmask] Date: July 22, 2021 Subject: Induction Course for New Lecturers, HYBRID, Sep 2021 Induction Course for New Lecturers in the Mathematical Sciences 2021, HYBRID, 8 - 9 September 2021, Isaac Newton Institute for Mathematical Sciences, 20 Clarkson Road, Cambridge, CB3 0EH, UK https://ima.org.uk/13572/induction-course-for-new-lecturers-in-the-mathematical- sciences-2021/ Through a community initiative supported by the Institute of Mathematics and its Applications, the Isaac Newton Institute for Mathematical Sciences and endorsed by the Edinburgh mathematics society, Royal Statistical Society, the London Mathematical Society and the Operational Research Society, we are delighted to announce that in September 2021 the two-day Induction Course for lecturers new to teaching mathematics and statistics within Higher Education will once again take place. Whilst arrangements may still be subject to change due to the ongoing Covid-19 situation and any future Government guidance, we are currently preparing for the Induction Course to be delivered as a hybrid model with the option for some delegates to attend in person. The Induction Course for New Lecturers in the Mathematical Sciences has been designed by the mathematics community so that it is ideally suited for anyone who is new to or has limited experience teaching mathematics or statistics within UK higher education. It will be delivered by individuals with significant experience of teaching in the mathematical sciences and will focus upon the specific details and issues that arise in mathematics and statistics teaching and learning within higher education including topics such as: Lecturing; Supporting student learning; Making teaching interactive; Assessment, examinations and feedback; Linking teaching & research; Using technology to enhance teaching and learning; Using examples and mathematical problem solving. Registration is currently open at https://my.ima.org.uk/ ------------------------------------------------------- From: Massimiliano Fasi [log in to unmask] Date: July 24, 2021 Subject: Matrix Equations and Tensor Techniques, Italy, Sep 2021 The abstract submission deadline for the upcoming ninth edition of the Matrix Equations and Tensor Techniques Workshop (METTIX) has been extended to 11 August 2021. The event will be held on Thursday and Friday 9-10 September 2021. We are currently planning for a hybrid meeting including remote contributions alongside in-person presentations delivered at the Department of Mathematics and Computer Science of the University of Perugia, Italy. Should restrictions on gatherings and travel make a hybrid event impossible, the conference will be held virtually. The focus will be on recent theoretical and computational advances in the solution of tensor problems and linear and nonlinear matrix equations. We are pleased to announce that the workshop will feature two keynote lectures by Dario A. Bini (University of Pisa, Italy) and Lieven De Lathauwer (KU Leuven, Belgium). Registration is free of charge and attendees are invited to contribute an abstract. Additional information on the meeting, including deadlines and abstract submission procedure, is available at http://mettconference.cloud ------------------------------------------------------- From: Emad [log in to unmask] Date: July 24, 2021 Subject: Tribute to Françoise Chatelin, France, Oct 2021 Virtual & Face to Face event @Cerfacs (Toulouse, France) 10/14/2021, 2:00 p.m. - 6:30 p.m. CERFACS is organizing a half scientific day on October 14, 2021 in tribute to Françoise Chatelin who left us prematurely on May 14, 2020. All information is available here: https://memoriam-chatelin.cerfacs.fr/en/ ------------------------------------------------------- From: Martin Schmidt [log in to unmask] Date: July 21, 2021 Subject: Research Assistant Position, Trier Univ JOB ADVERTISEMENT at TRIER UNIVERSITY In the Faculty IV (Department of Mathematics) at Trier University, the position of a research assistant (f/m/d) in optimization is to be filled starting from November 2021. Remuneration is based on the salary group E 13 TV-L (100%) and the position is filled for an initial period of three years. The tasks include the support of the professorship "Nonlinear Optimization" in research and teaching as well as the participation in the organization of the professorship. The opportunity for a doctorate is given. The working group "Nonlinear optimization" is mainly concerned with mixed-integer nonlinear optimization as well as equilibrium problems. We study theoretical properties of these problem classes and develop algorithms to solve both mixed-integer nonlinear optimization and equilibrium problems. Many of the current questions in the working group are motivated by technical-physical or economic aspects in the field of energy, such as, for example, the cost-effective control of gas transport networks or the analysis of electricity trading in Germany and Europe. The applicant is expected to enjoy working in an international team and to enjoy applied mathematical research. We also expect the candidate to be able to work independently, to be reliable and willing to work in an interdisciplinary environment, as well as to have excellent English language skills. The prerequisite for employment is a master or diploma degree (or equivalent) from a university in mathematics. Severely handicapped persons are given preferential employment if they are suitable. Trier University is trying to increase the number of its female academics and urges them to apply. Applications with the usual documents (letter of motivation, curriculum vitae, certificates and, if applicable, list of publications as well as a list of courses supervised to date) in a single PDF are requested by 15.08.2021 via e-mail to Prof. Dr. Martin Schmidt ([log in to unmask]). ------------------------------------------------------- From: Bernd Simeon [log in to unmask] Date: July 25, 2021 Subject: Postdoc Position, Computational Biomechanics, TU Kaiserslautern A postdoctoral research associate position is available in the Department of Mathematics at TU Kaiserslautern, Germany. The position is funded by the German Research Council (DFG) within the project 'Coupled analysis of active biological processes for meniscus tissue regeneration'. The main task will be to develop a novel computational framework for the simulation and parameter identification of in vitro experiments for human meniscus regeneration, in collaboration with bioengineers and biomathematicians. Prior experience in computational mechanics or numerical PDEs and strong programming skills are expected. The position is for 2 years plus an optional extension. For enquiries, please contact Prof. Bernd Simeon at [log in to unmask] ------------------------------------------------------- From: Jennifer Scott [log in to unmask] Date: July 21, 2021 Subject: PhD Position, Numerical Weather Prediction, Univ of Reading, UK An exciting opportunity exists to apply for a 4-year fully funded PhD studentship to work on "Randomized parallel algorithms for data assimilation in numerical weather prediction." Data assimilation is the process of updating a model forecast with the latest observations to ensure that the forecasting model stays close to reality. It is a crucial component of numerical weather prediction systems. This project will develop new randomized numerical methods for solving the data assimilation problem and test them within the European Centre for Medium Range Weather Forecasts system. The project supervisors will be Professor Jennifer Scott and Dr Amos Lawless from the University of Reading, together with Dr Massimo Bonavita and Dr Nicolas Bousserez from ECMWF (https://www.ecmwf.int/). Funding is available (fees plus stipend) for UK and international students. Candidates should have a strong mathematical background and preferably some experience of programming. For further details, including how to apply: see http://www.reading.ac.uk/graduateschool/funding-and-fees/gs-PhD-studentships-in- Mathematical-Sciences.aspx (see Project 4). Application deadline: 27 August 2021 Start date: September 2021 or January 2022 Any enquiries, please contact: [log in to unmask] or [log in to unmask] ------------------------------------------------------- From: Jia-Jie Zhu [log in to unmask] Date: July 24, 2021 Subject: PhD Position, Robust ML/Data-driven Optimization, Germany The Weierstrass Institute (WIAS) in Berlin, Germany, is looking for Ph.D. candidates passionate about researching **robustness machine learning and data-driven optimization**, on topics closely related to distributional robustness, adversarial robustness, generalization, robust optimization, robustness in RL and control, interfacing distributional robustness and causality. The starting date is September 2021 and might be negotiated. To apply or learn more, follow this link: https://jj-zhu.github.io/phd_1/. Please direct all inquiries to the email address [log in to unmask], with the subject containing [inquiry-phd-opt]. For more information about WIAS Berlin, see https://www.wias-berlin.de/ What we offer: - Close mentorship: the Ph.D. candidate will receive responsible and careful mentorship. We emphasize fostering a healthy mentor-student relationship. - The Weierstrass Institute for Applied Analysis and Stochastics (WIAS), Berlin is a research institution known for its strength in mathematical optimization, optimal control, dynamical systems, and applied mathematics in general. It has hosted flagship conferences in mathematical optimization, such as ICCOPT 2019. We also envision collaborations with our partners at top institutions such as the Max Planck Institute for Intelligent Systems, Tubingen. - We are located in downtown Berlin. Berlin is one of the most culture-rich and diverse international cities in the world. It offers endless opportunities to enjoy life outside work, while being very affordable compare to other major cities. Neither the job nor living in Berlin requires the German language (although we offer free German courses). We highly welcome applications from international students and minorities. Scientifically, Berlin offers a rich landscape with numerous opportunities for research, as well as job prospects in academia and industry. ------------------------------------------------------- From: Jennifer Scott [log in to unmask] Date: July 21, 2021 Subject: PhD Position, Univ of Reading/Rutherford Appleton Laboratory, UK We are seeking excellent candidates for a 4-year fully funded PhD studentship to work on "Large-scale linear least squares solvers with applications". The project will focus on developing a new generation of algorithms for solving sparse numerical linear algebra problems that arise in practical applications, with a strong emphasis on large-scale least squares and related problems. Applications will include image reconstruction, in particular, bundle adjustment, cosmic microwave background data analysis in astrophysics, and data fitting in weather forecasting. Funding is available (fees plus stipend) for UK and international students. Candidates should have a strong mathematical background and preferably some experience of programming. The project supervisors will be Professor Jennifer Scott (University of Reading and Rutherford Appleton Laboratory) and Dr Hussam Al Daas (RAL). The student will be based in the University of Reading but will spend significant time at the nearby RAL. This is a unique opportunity to belong to the Department of Mathematics and Statistics at the University of Reading (http://www.reading.ac.uk/maths-and-stats/research/maths-stats- research.aspx) and to be a part of the Computational Mathematics Group at the internationally renowned RAL (https://www.numerical.rl.ac.uk/). For further details, including how to apply: see http://www.reading.ac.uk/graduateschool/funding-and-fees/gs-PhD-studentships-in- Mathematical-Sciences.aspx (see Project 5). Application deadline: 27 August 2021 Start date: September 2021 or January 2022 Any enquiries, please contact: [log in to unmask] ------------------------------------------------------- From: Cornelia Böhnstedt [log in to unmask] Date: July 25, 2021 Subject: PhD Positions, PharMetrX, Potsdam/Berlin, Germany The Graduate Research Training Program PharMetrX: Pharmacometrics & Computational Disease Modelling is an interdisciplinary PhD program bridging pharmacy and mathematics. It aims at understanding the drug-patient-disease interaction by analysing data of drug concentration, effect & disease profiles of pre-/clinical trials and of therapeutic care by developing and using mathematical & statistical models. We are currently inviting applications to enrol in the PharMetrX Research+ Program or the PharMetrX Training+ Program. The PharMetrX Research+ Program (Research & Training & Network) comprises an excellent research environment in the vibrant Berlin/Potsdam area, fascinating and innovative research projects in a highly relevant field, truly transdisciplinary supervision, an individual mentorship from one of the associated industry partners, a specifically tailored training program of compact modules, a network of peers and a highly competitive 3.5 years fellowship. The PharMetrX Training+ Program (Training & Network) offers a specifically tailored training program of compact modules that convey the foundations in pharmacokinetics & pharmacodynamics, systems biology, statistics, methodological approaches of modelling & simulation etc. as well as a network of peers. It is open for PhD students who have already started their PhD in the field of pharmacometrics or will do so soon. Both programs are open to candidates with a university degree in pharmacy, pharmaceutical sciences, mathematics/statistics, bioinformatics, life sciences or medicine. See https://www.PharMetrX.de for further details. Deadline for applications: 15 September 2021. PharMetrX is a joint program of Freie Universitat Berlin and the University of Potsdam, supported by a consortium of global research-driven pharmaceutical companies. ------------------------------------------------------- End of Digest **************************