Subject: NA Digest, V. 21, # 36 NA Digest Sunday, September 26, 2021 Volume 21 : Issue 36 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: Andreas Griewank Software Release, pyMOR 2021.1.0 E-NLA Seminars, ONLINE, Sep 2021 Learning, Computation, and Control, ONLINE, Sep 2021 SCAN 2020 Videos Available, ONLINE, Sep 2021 Hyperbolic equations, ONLINE, Sep-Dec 2021 Numerical Linear Algebra and Optimization, UK, Jun-Jul 2022 Department Head Position, Applied Mathematics and Statistics Faculty Positions, Computational Science, Portland State Univ Faculty and Postdoc Positions, Mathematics, Emory Univ Tenure Track Position, Mathematics, Texas State Univ Research Technician Position, Data Science, BCAM Research Fellowship Position, Inverse problems for wave equations, UCL Postdoc Fellowship Positions, Berkeley Lab Postdoc Position, ML for COVID-19 Prognosis, BCAM Postdoc Position, NCState Postdoc Position, Yonsei Univ, South Korea PhD or Postdoc Position, Lattice Boltzmann Research Group, KIT PhD Position, Algorithm Engineering for Scalable Data Reduction PhD Position, Computational and Data Science, SDSU 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: Uwe Naumann [log in to unmask] Date: September 20, 2021 Subject: Andreas Griewank It is our sad duty to inform you about the passing away of Andreas Griewank. On the morning of the 16th of September 2021, Andreas developed chest pain and severe fatigue. Heading for emergency surgery he underwent cardiac arrest and further measures could not bring him back. We would have liked to have him with us longer, however believe a quick exit out of still fairly good health and a fulfilled life to look back on fits the Andreas we knew and loved. Andrea Walther and Uwe Naumann ------------------------------------------------------- From: René Fritze [log in to unmask] Date: September 24, 2021 Subject: Software Release, pyMOR 2021.1.0 We are proud to announce the release of pyMOR 2021.1.0! This release includes several new reductors for LTI systems. In particular, methods for reducing and analyzing unstable systems have been added. ANNs can now be used in order to directly approximate output quantities. Furthermore, it is now possible to work with time-dependent parameters in pyMOR. Read the release notes for more details: https://docs.pymor.org/2021-1-0/release_notes/all.html ------------------------------------------------------- From: Valeria Simoncini [log in to unmask] Date: September 20, 2021 Subject: E-NLA Seminars, ONLINE, Sep 2021 After a long break this summer, it is our pleasure to announce that the E-NLA seminar will continue again starting this week. As before, talks will be scheduled on a fortnightly basis on Wednesday at 4pm CEST. The list of speakers until the end of this year is on our webpage: https://sites.google.com/view/e-nla/home. A link to the Zoom meeting will be sent one day before the talk via this mailing list. The first lecture is on September 22, 2021 and will be delivered by Karl Meerbergen (KU Leuven) on "Rational approximation and linearization of finite element models with nonlinear frequency dependencies" Hope to see you again during the new season! ------------------------------------------------------- From: Dante Kalise [log in to unmask] Date: September 23, 2021 Subject: Learning, Computation, and Control, ONLINE, Sep 2021 This autumn we begin a new seminar series on Learning, Computation, and Control (LC2) at Imperial Mathematics Department. This seminar will feature talks at the intersection between machine learning, computational mathematics, and control theory. During Autumn 2021, the seminar will run every other week on Thursdays, 15:00-16:00 UK time, via Zoom. The series begins next Thursday September 30th, with a talk by J. Nathan Kutz (University of Washington) on "Data-driven model discovery and physics-informed learning" https://www.imperial.ac.uk/events/139656/j-nathan-kutz-university-of-washington-seattle- data-driven-model-discovery-and-physics-informed-learning/ For more information about the LC2 seminar, please visit https://www.imperial.ac.uk/ammp/seminars--events/ammp-research-group-seminars/lc2- learning-computation-control-seminar/ There is no registration/subscription for this seminar, once you click on the talk there will be a Livestream button that will take you directly to the Zoom meeting. We look forward to seeing you there! ------------------------------------------------------- From: Tibor Csendes [log in to unmask] Date: September 17, 2021 Subject: SCAN 2020 Videos Available, ONLINE, Sep 2021 The International Symposium on Scientific Computing, Computer Arithmetic, and Verified Numerical Computation (SCAN-2020) has been held fully online between the 13th and 15th of September 2021. Now all the conference materials (videos on the talks, slides in pdf and the proceedings volume) are availeble on the home page of the conference: scan2020.hu. ------------------------------------------------------- From: Christian Klingenberg [log in to unmask] Date: September 18, 2021 Subject: Hyperbolic equations, ONLINE, Sep-Dec 2021 Our online series of seminar lectures "Hyperbolic equations, structure preserving methods and other topics" will continue Fridays at 3 pm GMT+1, see here https://ifm.mathematik.uni-wuerzburg.de/~klingen/struct-pres-seminar.html The speakers will be: Sept. 24: Remi Abgrall (Zurich Univ), Oct. 1: tba, Oct. 8: Stephane Brull (Bordeaux, France), Oct. 15: Giovanni Russo (Catania, Italy), Oct. 22: David Ketcheson (Saudi Arabia), Oct 29: Lorenzo Pareschi (Ferrara, Italy), Nov. 5: Francis Filbet (Toulouse, France), Nov. 12: Dmitri Kuzmin (Dortmund, Germany), Nov. 19: Walter Boscheri (Ferrara, Italy), Nov. 26: Matteo Semplice (Como, Italy), Dec. 3: Raphael Loubere (Bordeaux, France), Dec. 10: Frank Martin (Karlsruhe, Germany) All are welcome to join us via Zoom, please email Christian Klingenberg at Wuerzburg University (Germany) [log in to unmask] to obtain the Zoom link. ------------------------------------------------------- From: Pamela Bye [log in to unmask] Date: September 24, 2021 Subject: Numerical Linear Algebra and Optimization, UK, Jun-Jul 2022 7th IMA Conference on Numerical Linear Algebra and Optimization 29 June - 1 July 2022, University of Birmingham, UK https://ima.org.uk/12530/7th-ima-conference-on-numerical-linear-algebra-and- optimization/ The IMA is pleased to announce the Seventh Biennial IMA Conference on Numerical Linear Algebra and Optimization. The success of modern codes for large-scale optimization is heavily dependent on the use of effective tools of numerical linear algebra. On the other hand, many problems in numerical linear algebra lead to linear, nonlinear or semidefinite optimization problems. The purpose of the conference is to bring together researchers from both communities and to find and communicate points and topics of common interest. This Conference has been organised in cooperation with the Society for Industrial and Applied Mathematics (SIAM). Conference topics include any subject that could be of interest to both communities, such as: Direct and iterative methods for large sparse linear systems; Eigenvalue computation and optimization; Large-scale nonlinear and semidefinite programming; Effect of round-off errors, stopping criteria, embedded iterative procedures; Optimization issues for matrix polynomials; Fast matrix computations; Compressed/sparse sensing; PDE-constrained optimization; Distributed computing and optimization; Applications and real time optimization. Invited Speakers to be confirmed shortly. Registration is currently open at https://my.ima.org.uk/ Mini-symposia proposals: 31 January 2022 Notification of acceptance of mini-symposia: 14 February 2022 Abstract submission: 28 February 2022 ------------------------------------------------------- From: Samy Wu Fung [log in to unmask] Date: September 26, 2021 Subject: Department Head Position, Applied Mathematics and Statistics The Department of Applied Mathematics and Statistics (AMS) at Colorado School of Mines (Mines) invites applications for a tenured, full professor to serve as Department Head. Applicants must hold a Ph.D. in mathematics, statistics or a related field and possess an exemplary record in research, teaching, and professional service. Critical for this role are leadership skills that can inspire and motivate academic faculty and staff, effective interpersonal communication, and an ability to organize and manage many diverse tasks and projects. Administrative experience and evidence of effective management of personnel and budgets is also highly desirable. Successful candidates will have demonstrated that they adhere to high ethical standards, operate in a transparent and collegial way, and be responsive to the needs of faculty, staff, and students within the Department. Mines has an unconditional commitment to respecting and increasing diversity among our students, faculty, and staff and thus a successful candidate will also display this core value of our university. Experience in teaching and working in an academic environment is essential, however, experience working in and with industry is also valued. The Department Head will be responsible for leading an integrated faculty of mathematicians and statisticians to increase the volume and impact of their research, for enhancing the computational mathematics, statistics and data science graduate programs through recruiting and retaining talented students, and for promoting excellence in instruction in the Department degree programs and service courses. The Department Head's leadership and new directions should be aligned within the Mines strategic university plan (Mines@150) and emphasize society's major challenges related to earth, energy, environment, and sustainability. Successful candidates will also share the Mines goals of creating a sustainable global society by educating the next generation of scientists, engineers, and leaders, and by expanding the frontiers of knowledge through research and will evidence a passion for advancing the University's and Department's commitment to diversity and inclusion. Interested applicants should apply online as soon as possible. For full consideration, applications should be received by November 1, 2021. Please apply at https://jobs.mines.edu/cw/en-us/job/495152/professor-and-department-head-applied- mathematics-and-statistics For further information about the position or the Department vision, please contact Prof. Paul Sava (search chair) at [log in to unmask] ------------------------------------------------------- From: Jeffrey S Ovall [log in to unmask] Date: September 24, 2021 Subject: Faculty Positions, Computational Science, Portland State Univ Portland State University (PSU) invites applications for three tenure-track faculty positions in the Fariborz Maseeh Department of Mathematics & Statistics, one at open rank, and two at the Assistant Professor rank. These positions are part of a cluster hire in Computational Science for a Sustainable Future. Of particular interest are candidates whose expertise intersects strongly with one or more of the following themes: - Theory of data-driven decision making and its application to pressing societal concerns on climate, environment, epidemiology, or health care; - High performance computing focusing on scalability or energy efficiency; - Physical applied mathematics that combines physical principles with mathematical techniques for building computational tools to address modern sustainability challenges. Application screening begins November 1st, 2021. Please visit the departmental website (https://www.pdx.edu/math/cluster-hire-computational-science-sustainable-future) for further information about these positions and how to apply. ------------------------------------------------------- From: James Nagy [log in to unmask] Date: September 23, 2021 Subject: Faculty and Postdoc Positions, Mathematics, Emory Univ The Department of Mathematics at Emory University has embarked on an ambitious recruitment plan, which includes open rank Tenure Track Faculty positions (Assistant, Associate or Full Professor) in Computational Mathematics and Discrete Mathematics, a Lecture Track Faculty position (i.e., Assistant Teaching Professor), and Postdoc Fellowship positions for an NSF funded Research Training Group in Computational Mathematics for Data Science. For further details on these positions, including desired qualifications and required application materials, please see: http://www.math.emory.edu/about/faculty-hiring/. Applications can be submitted using one of the following links: TTF Position in Computational Math: https://apply.interfolio.com/94445 TTF Position in Discrete Math: https://apply.interfolio.com/94640 LTF Position in Math: https://apply.interfolio.com/94298 RTG Postdoc Fellowship Position: https://apply.interfolio.com/90818 Screening of Applications will begin on November 5. Applications received by December 6 will be given full consideration. Faculty positions are expected to start on August 1, 2022. RTG Postdoc positions can have a starting date of either January 1, 2022 or August 1, 2022. 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 $831 million in research funding annually while also highly valuing excellence in teaching. Emory is highly ranked among America's Best Employers for Women and Best Employers for Diversity and fosters a culture of inclusivity and cooperation. Emory University is an equal employment opportunity and affirmative action employer. Women, minorities, people with disabilities, and veterans are strongly encouraged to apply. ------------------------------------------------------- From: Ray Treinen [log in to unmask] Date: September 20, 2021 Subject: Tenure Track Position, Mathematics, Texas State Univ Tenure Track Assistant Professor The Department of Mathematics at Texas State University is seeking to hire a tenure-track assistant professor in mathematics, applied mathematics, or statistics to commence employment in the fall semester of 2022. The successful candidate will be expected to establish a strong commitment to high-quality research. The candidate must be dedicated to the teaching and mentoring of students at the graduate and undergraduate levels. In addition, the candidate must be actively engaged in service to the department, college, university and mathematical community. The starting salary will be commensurate with the candidate's qualifications. All positions are subject to availability of funds. Requirements: 1. An earned doctorate in mathematics, applied mathematics, statistics, or a closely related field prior to employment; 2. Evidence of excellence in research; 3. Evidence of, potential for, teaching excellence; and 4. An ability to contribute to the Mathematics Department mission. Preferred: 1. Evidence of, or potential to obtain, external funding; 2. Evidence of, or potential for, mentoring student research at various levels; 3. Experience in serving a diverse student population; 4. Demonstrated experience in conducting collaborative research; 5. Demonstrated potential to develop research collaborations with departmental faculty; and 6. Evidence of computational expertise in teaching or research. More details can be found on the website: https://www.math.txstate.edu/hiring/faculty-staff.html ------------------------------------------------------- From: Basque Center for Applied Mathematics [log in to unmask] Date: September 21, 2021 Subject: Research Technician Position, Data Science, BCAM New position in Data Analysis, Statistics (regression methods, time series, multivariate analysis, clustering methods), Machine Learning techniques (e.g.: neural networks, random forests, decision trees, SVM's etc.) and Optimization (linear programming, multi-objective optimization, large-scale optimization etc.). Appy in: http://www.bcamath.org/en/research/job/ic2021-09-data-science-research-technician- bcam-knowledge-transfer-unit ------------------------------------------------------- From: Erik Burman [log in to unmask] Date: September 22, 2021 Subject: Research Fellowship Position, Inverse problems for wave equations, UCL Applications are invited for a full-time EPSRC funded Research Fellow position at the Department of Mathetmatics, UCL. The successful candidate will work with Professor Erik Burman on the project "Computational methods for inverse problems subject to wave equations in heterogeneous media". Applicants are expected to have good understanding either of the design and analysis of finite element methods or of the wave equations and associated inverse problems. It is desirable that candidates have interest and research experience with at least some of the following subjects: theory of finite element methods, error analysis of numerical methods, knowledge of stabilised finite element methods or discontinuous Galerkin methods, stability analysis of ill-posed problems, Carleman estimates. Experience of some computational finite element package (fenics, freefem etc) and their application to the numerical approximation of solutions to partial differential equations, is also highly valued.. This post is available from 15 February 2022 or as soon as possible thereafter. This post is funded for 3 years in the first instance. Further information and details of how to apply can be found at https://atsv7.wcn.co.uk/search_engine/jobs.cgi? owner=5041390&ownertype=fair&jcode=1879082&vt_template=965&adminview=1 The closing date for applications is 24th of October. Informal enquiries may be addressed to Professor Erik Burman, email: [log in to unmask] ------------------------------------------------------- From: Esmond G. Ng [log in to unmask] Date: September 22, 2021 Subject: Postdoc Fellowship Positions, Berkeley Lab Berkeley Lab is now accepting applications for the 2022 Luis W. Alvarez Postdoctoral Fellowship and the 2022 Admiral Grace Hopper Postdoctoral Fellowship in the Computing Sciences Area. Apply now for these two prestigious fellowships! Researchers in computer science, mathematics, or any computational science discipline who have received their Ph.D. within the last three years (i.e., no earlier than January 1, 2019) are encouraged to apply. The successful applicants will receive a competitive salary, professional travel allowance, relocation assistance, excellent benefits, and an opportunity to work in the San Francisco Bay Area. Since its founding in 2002, the Luis W. Alvarez Fellowship has cultivated exceptional young scientists who have gone on to make outstanding contributions to computational and computing sciences. The Admiral Grace Hopper Fellowship was established in 2015. Additional information on the Luis W. Alvarez Postdoctoral Fellowship and the Admiral Grace Hopper Postdoctoral Fellowship can be found at https://cs.lbl.gov/careers/computing-fellowships/. Berkeley Lab's Computing Sciences Area researches, develops, and deploys new tools and technologies to meet these needs and to advance research in our core capabilities of computer science, mathematics, and computational science. In addition to fundamental advances in our core capabilities, we impact such areas as materials science, chemistry, biology, astrophysics, climate change, combustion, and fusion energy. Research areas in Computing Sciences include but are not limited to: developing scientific applications and software technologies for extreme-scale and energy-efficient computing; developing mathematical modeling for complex scientific problems; designing algorithms to improve the performance of scientific applications; researching digital and post-digital computer architectures for science; advancing extreme-scale scientific data management, analysis, and machine-learning; developing next-generation machine learning and AI approaches for science; advancing quantum computing technologies, software, algorithms and applications; evaluating or developing new and promising HPC systems and networking technologies researching methods to control and manage dynamic circuit networks; developing large-scale visualization and analytics technologies; and managing scientific data in distributed environments. Application Process: For consideration applications are due November 22, 2021. Letters of Reference are due November 29, 2021. Details of the application process can be found by search for job 93892 at https://jobs.lbl.gov/. ------------------------------------------------------- From: Basque Center for Applied Mathematics [log in to unmask] Date: September 21, 2021 Subject: Postdoc Position, ML for COVID-19 Prognosis, BCAM New position in Machine Learning for COVID-19 prognosis. The postdoctoral researcher will work on the research project "Early prognosis of COVID-19 infections via machine learning" funded by AXA Research Fund. Apply in: http://www.bcamath.org/en/research/job/ic2021-09-postdoctoral-fellowship-in-axa-covid- 19-prognosis ------------------------------------------------------- From: Ilse Ipsen [log in to unmask] Date: September 18, 2021 Subject: Postdoc Position, NCState The Department of Mathematics at NC State University has an open postdoctoral position under its NSF funded Research Training Group RTG, DMS-1745654 in Randomized Numerical Analysis (currently entering year 4). The position is restricted to US citizens, nationals and permanent residents. The postdoctoral associate must hold a PhD in mathematics or a closely related discipline awarded after January 1, 2021 and the applicant should not have any prior postdoc appointments. An exception to this rule, occasioned for instance by a career interruption, may be requested in the cover letter. The postdoctoral associate is expected to engage in research related to at least one of the three complementary research thrusts of the project in randomized numerical linear algebra, random nonlinear solvers, and global sensitivity analysis. Based on background, strengths and interests, the postdoc will be assigned one research mentor from the faculty associated with the RTG: Alen Alexanderian, Mohammad Farazmand, Pierre Gremaud, Mansoor Haider, Ilse Ipsen, Hangjie Ji, Tim Kelley, Arvind Saibaba, Ralph Smith, and Fatma Terzioglu. An academic mentor will be chosen from this group to oversee the postdocs training and professional development. The postdoc will also play a leading role in mentoring students associated with some of the project's working groups; they will be expected to assist in organizing seminars and activities related to the general research of the RTG. In addition, the postdoc will teach on average one course per semester in the Department of Mathematics. Inclusiveness and diversity are critical to the success of the College of Sciences and the University. The selected candidate will be expected to foster an environment that is supportive and welcoming to all groups. This position is for a term of up to three years, contingent upon performance. The starting date is anticipated between March and August 2022. The 11 month salary of $62,500 includes summer support. In addition, the postdoc will be given an annual travel budget of $3,000. Through the mathjobs.org system, applicants should submit a cover letter, a CV, a research statement and the names of at least three potential letter writers. Women and members of underrepresented minority groups are particularly encouraged to apply. Applications will be evaluated on a rolling basis until the position is filled; please apply as soon as possible. Inquiries may be directed to Pierre Gremaud (RTG Director): [log in to unmask] The deadline for full consideration is November 15, 2021, although later applications will be considered as resources permit. ------------------------------------------------------- From: Sehun Chun [log in to unmask] Date: September 24, 2021 Subject: Postdoc Position, Yonsei Univ, South Korea One postdoc position is available at Underwood International College, Yonsei University and the Laboratory of Molecular Neuroimaging (MoNET LAB) in Seoul, South Korea under Professor Sehun Chun (https://sites.google.com/site/uicschun/) starting from December 2021, or the earliest possible after that. The successful postdoc candidate will also collaborate closely with Professor Hae-Jeong Park from Yonsei University College of Medicine. This appointment is initially offered for two years, but renewable up to four years. Underwood International College (https://uic.yonsei.ac.kr/) at Yonsei University is a highly selective, English-based, four-year liberal arts institution that combines the intimate and elite learning environment of an American-style liberal arts college with the faculty and resources of Korea's top private research university. The Laboratory of Molecular Neuroimaging (MoNET LAB) (http://neuroimage.yonsei.ac.kr), affiliated with the Yonsei University Graduate School of Medical Science, Department of Psychiatry, Department of Nuclear Medicine, and Department of Cognitive Science, is an open research team gathered to develop precise analyzing techniques for various brain data such as fMRI, PET, EEG, DTI in the macroscopic level. Main tasks for this position include: 1. Simulating 3D neural spike propagation to understand the role of geometry in brain connectivity. 2. Constructing mathematical models to reveal the fiber structure for successful information propagation. 3. Implementing the proposed information propagation laws into a software reconstructing patient-specific neural fiber in white matter. Ideal candidates should have good programming skills and a solid background in scientific computing. Researchers in any field of study would be considered for different tasks. Any prior knowledge in neuroscience is not required. Yonsei University is an Equal Employment Opportunity and Affirmative Action Employer. Women, minorities, and people with disabilities are strongly encouraged to apply. Yonsei University is committed to student and faculty diversity, equity, and inclusion. Required Documents: Formal applications containing a cover letter, CV, statement of research interest, and two letters of recommendation should be directly sent by email attachment to Izabela Berile, email: [log in to unmask] For any further information or queries, please contact Professor Sehun Chun, email: [log in to unmask] . Deadline for Submissions: Applications must be submitted by October 22nd, 2021, at 11:59PM (KST). However, applications will be considered until the position is filled. ------------------------------------------------------- From: Mathias J. Krause [log in to unmask] Date: September 24, 2021 Subject: PhD or Postdoc Position, Lattice Boltzmann Research Group, KIT At the Lattice Boltzmann Research Group (LBRG) at the Karlsruhe Institute of Technology (KIT) we are looking for a Research assistant. Within the scope of a research project on modelling and simulation and of turbulent (particulate) fluid flows, a full-time position is to be filled temporarily. After familiarisation, remuneration is paid according to TV-L, E 13. There is the possibility of a doctorate. Besides enjoying scientific problem analysis as well as mathematical and/or process engineering problems and/or computer science, we expect you to have good programming skills, initiative, imagination and good communication skills in written and spoken German and English. Great importance is attached to working in a team. The Karlsruhe Institute of Technology strives to increase the proportion of women and therefore particularly welcomes applications from women. Severely handicapped applicants will be given preferential consideration if they are equally qualified. Please send applications with the usual documents, preferably electronically in a pdf file, to Dr. Mathias J. Krause e-mail: [log in to unmask] ------------------------------------------------------- From: Christian Schulz [log in to unmask] Date: September 20, 2021 Subject: PhD Position, Algorithm Engineering for Scalable Data Reduction You love algorithms, their analysis and efficient implementation? You are about to or know somebody who graduates with an excellent Master's degree and is looking for a PhD position? Then please read on. The Algorithm Engineering Group Heidelberg at Heidelberg University is inviting applications for a full-time position in a DFG funded project of a PhD Student (m/f) starting on November 1st, 2021 (the exact date up to a couple of months is negotiable). Starting in the group as a PostDoc is also possible. Working Area: A successful candidate will work under the supervision of Prof. Dr. Christian Schulz on engineering scalable data reduction algorithms. Over the last two decades, significant advances have been made in the design and analysis of FPT algorithms for a wide variety of graph problems. However, these theoretical algorithmic ideas have received very little attention from the practical perspective. This project aims to bridge the gap between theory and practice currently observed in FPT or kernelization approaches. Further responsibilities as part of the position include the supervision of bachelor and master students and possibly TA duties. Requirements: Very good university degree (Master or equivalent) in computer science or a related field; Willingness to learn and later assist teaching in German; Solid skills in software development and in the theoretical analysis of algorithms (evidenced by your thesis or relevant courses); knowledge in combinatorial algorithms and linear algebra is particularly desirable; Self-motivation, team spirit and willingness to work in interdisciplinary projects; Knowledge in parallel programming (in particular MPI) is a plus, but no requirement. Please *forward this email to anyone who may be interested* or send your application documents (cover letter, CV, copies of certificates) and the contact information of two references if available to the address below. To receive full consideration, submit the documents via email by October 15th, 2021 to: Univ.-Prof. PD. Dr. Christian Schulz Algorithm Engineering Heidelberg University Telephone: +49 (0) 6221 54- 14342 E-Mail: [log in to unmask] Web: https://schulzchristian.github.io/ https://ae.ifi.uni-heidelberg.de/ ------------------------------------------------------- From: Jose E Castillo [log in to unmask] Date: September 18, 2021 Subject: PhD Position, Computational and Data Science, SDSU The Interdisciplinary Ph.D. Program in Computational Science is aimed at training scientists and engineers who will create advanced computational methods and tools to model and solve challenging problems at the intersections of scientific disciplines. The doctoral program offers coursework and research in a broad range of subjects that develop expertise in Mathematical Modeling and Scientific Computing with applications to Biological Science, Earth Science, Engineering Science, Health, Physical and/or Chemical Science. UCI and SDSU campuses are recognized as Hispanic Serving Institutions offering a welcoming and supportive environment for diverse students. Admitted graduate students are offered a range of financial assistance options while they are pursuing advanced degrees, including Teaching, Graduate, and Research Assistantships and Fellowships. Applicants with strong backgrounds in mathematics, physical, biological and geological sciences, computer science, and engineering are invited to apply. Please check our website for details regarding the doctoral program and the application process. Website: http://www.csrc.sdsu.edu/csrc/doctoral.html ------------------------------------------------------- End of Digest **************************