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SIAM Activity Group on Linear Algebra

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The following jobs have been advertised to the SIAG/LA mailing list at the request of SIAG/LA members. If no closing date is included in the request, the default is two months after the original posting. If you are a job-seeker, you may also be interested in the SIAM Job Board or NA Digest. SIAG-LA members may submit job ads via a web form.

The Mathematics and Computer Science (MCS) Division at Argonne National Laboratory invites applications for the position of Deputy Division Director for Applied Mathematics and Statistics. The position provides the opportunity to help MCS continue to grow, coordinate applied mathematics and numerical software research and development under the exascale computing project, and define the strategic vision for applied mathematics and statistics at Argonne and beyond. The ideal candidate will possess a Ph.D. in applied mathematics, statistics, or a related discipline; demonstrated management and leadership skills in a high-tech organization; broad knowledge and high scientific reputation in applied mathematics or statistics; and a demonstrated ability to discern and influence promising research directions from a national and DOE Office of Science perspective. Candidates with questions about the position are encouraged to contact the current DDD for Applied Mathematics and Statistics, Paul Hovland (, or MCS Interim Division Director Robert Ross ( Interested candidates should apply at

The Faculty of Engineering at McMaster University has a reputation for innovative programs, cutting-edge research, leading faculty, and aspiring students. It has earned a strong reputation as a centre for academic excellence and innovation. The Faculty has approximately 180 faculty members, along with close to 4,500 undergraduate and 1,000 graduate students. The Faculty of Engineering promotes a nurturing and inclusive environment where opportunities are made available for personal growth and professional development.

To enrich its flourishing research programs, the Department of Computing and Software at McMaster University is seeking outstanding individuals for multiple tenure-track faculty positions at the rank of Assistant Professor. However, a more senior level appointment may be possible for exceptional candidates. The Department is slated to grow significantly over the next few years, and new hires will have the opportunity to influence future directions.

Qualified candidates in the following areas are strongly encouraged to apply: machine learning, smart systems, high performance computing with applications to data analytics, and software engineering. Exceptional candidates in related areas will also be considered. Candidates must have demonstrated the potential for excellence in research, as well as having strong communication skills and being committed to education. They are also expected to have demonstrated an ability to work effectively with individuals from diverse communities and cultures. The successful candidates will be expected to establish a dynamic research program in their fields of expertise, to become engaging teachers and mentors at both the undergraduate and graduate levels, and to make strong commitment to curricula development. They will also be expected to explore opportunities for research collaborations across the Faculty of Engineering, and across the University. Successful candidates are expected to become registered with Professional Engineers Ontario.

The successful candidates will have the opportunity to engage with faculty members and research staff associated with McMaster’s world-class research and teaching laboratory facilities in software and data intensive systems and data analytics areas, including: the McMaster Centre for Software Certification (McSCert), the McMaster Automotive Resource Centre (MARC), the Shared Hierarchical Academic Research Computing Network (SharcNet), Advanced Optimization Laboratory (AdvOL), Computing Infrastructure Research Centre (CIRC), and the MacData Institute.

All qualified applicants are encouraged to apply. However, Canadian citizens and permanent residents will be given priority. These positions will ideally commence July 1, 2017. The selection process will begin by March 1, 2017, and continue until the positions are filled.

Applications, including cover letter, statement of research and teaching interests, curriculum vitae, research samples (published articles or other evidences of research contributions), evidence of teaching effectiveness, and names and contact information of 3 to 5 references, should be sent to Laurie Leblanc at

McMaster University’s beautiful campus is at the north-west end of Hamilton on the western end of Lake Ontario, between the Niagara Escarpment, conservation lands, and the Royal Botanical Gardens. Hamilton, with a population of over 500,000, is a vibrant community with easy access to Toronto and the Niagara region. It is located at the northern tip of an ecological zone commonly called the Carolinian Forest that encompasses the southern-most portion of Ontario but occurs nowhere else in Canada. As a result, Hamilton is home to many unique species of plants and animals that only occur here because the summer climate approaches that of North and South Carolina in the United States.

McMaster University is strongly committed to employment equity within its community and to recruiting a diverse faculty and staff. The University encourages applications from all qualified candidates including women, persons with disabilities, First Nations, Metis and Inuit persons, members of racialized communities and LGBTQ-identified persons. If you require any form of accommodation throughout the recruitment and selection procedure, please contact the Human Resources Service Centre at (905) 525 9140, Extension 222-HR (22247).

PhD Studentship: Novel Preconditioners for RBF Linear Systems

Posted to SIAG/LA: January 15, 2017.

Applications are invited for a fully funded 3 year PhD studentship in numerical linear algebra, under the supervision of Dr Jennifer Pestana and Dr Alison Ramage, at the Department of Mathematics and Statistics at the University of Strathclyde, Glasgow, Scotland.

This project aims to develop novel preconditioned iterative methods for linear systems arising in the numerical approximation of partial differential equations via radial basis functions (RBFs). These RBF methods are well suited to problems with complex geometries and/or scattered data, such as those occurring in biological and geophysical applications. However, the linear system that must be solved as part of the RBF method becomes increasingly challenging to work with as the approximation is refined. This project will extend previous work on preconditioning RBF systems to provide more efficient and robust solvers for these problems.

The studentship covers UK/EU tuition fees and comes with an annual tax-free stipend at the standard UK rate. International students who can fund the difference between UK/EU and International fee rates are also encouraged to apply.

Applicants should have or expect to obtain a good (I or II(i)) honours degree in mathematics or in a related discipline. Experience of numerical mathematics and/or programming would be beneficial.

For more information please contact Dr Pestana (

Postdoc openings at Sandia in HPC and linear solvers

Posted to SIAG/LA: September 18, 2016.

The Scalable Algorithms department at Sandia National Labs has openings for 1-2 postdocs in linear solvers and high-performance computing. The selected candidate(s) will conduct innovative research and code development in the following areas: high performance numerical linear algebra, asynchronous parallel iterative solvers, hierarchical matrix solvers, and sparse direct methods.

For more information and to apply, go to and search for 654859 or “high-performance computing”.

Postdoc opening at Lawrence Berkeley Lab

Posted to SIAG/LA: September 18, 2016.

The Scalable Solvers Group in the Computational Research Division at Lawrence Berkeley National Laboratory has an immediate opening for a postdoctoral fellow in large-scale traffic modeling. The candidate will participate in research projects to develop algorithms and software to predict near-future traffic flow from real-time measurements, and to help traffic management centers to improve performance of road networks and reduce congestion. The projects will focus on the problem of identifying trends in traffic patterns measured either on the freeway, on arterials, or both. Computational challenges include issues of model calibration, confidence, size and fidelity, real-time analysis, and model coupling. The research activities will include evaluation of existing algorithms using real data, development of new algorithms especially parallel algorithms for handing larger datasets, and integration of the new algorithms into various simulation models, at both research level and production level. Deliverables will include both software distributions as well as publications targeted at top-tier research conferences and journals.

Please follow the link below to see more details and to apply online: