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 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 email@example.com.
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).
Umea University welcomes applications for a permanent position as full Professor in High Performance Computing at the Department of Computing Science. We are seeking a strong academic leader with a clear strategic vision, that will have an important role and large freedom in developing the area of HPC at the department. The position includes research (at least 75% of full-time during the first six years of employment) as well as teaching and supervision at undergraduate, graduate and postgraduate level. Collaboration with or an active role in leadership within the High Performance Computing Center North (HPC2N, http://www.hpc2n.umu.se ), is also an opportunity. Link to complete add: http://umu.mynetworkglobal.com/what:job/jobID:127859/ Dead-line for applications is March 2, 2017.
An ongoing high-profile extreme-scale computing research project funded by the European Commission within the Future and Emerging Technologies (FET) program under Horizon 2020 is NLAFET (http://www.nlafet.eu ). For further information contact Head of Department Pedher Johansson (firstname.lastname@example.org) or Professor Bo Kagstrom (email@example.com).
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 (firstname.lastname@example.org).
The IMA has several openings for Industrial Postdoctoral Fellowships. The positions are intended for mathematical scientists at an early stage of their career. Preference will be given to those who have completed their Ph.D. within three years of the start of the appointment. Jointly funded by IMA industrial partners and the IMA, the fellowships begin August 30, 2017, and can be renewed for up to a total of two years. The postdocs will devote 50% effort to projects onsite at the IMA’s partner company and 50% effort on their own research under the mentorship of a University of Minnesota faculty. The position carries an annual salary of $65,000 and an allowance of up to $3,000 for professional travel.
IMA Industrial Postdoctoral Fellowships are ideal for mathematical scientists who wish to pursue careers in industry or academic positions that involve industrial interactions. All industry projects involve data and their analysis. Previous data science experience is desirable but not required.
- A Ph.D. in mathematics, applied mathematics, statistics, biostatistics, operations research or related areas by the start of the appointment.
- Strong programming skills – proficiency in one or more programming languages, familiarity with a few others.
- Excellent interpersonal, presentation, and written skills
The research statement you submit is an important part of the application. Your statement should not only outline your research interests and goals, but should also explain why the IMA Industrial Postdoctoral Fellowship would be an effective place for you to pursue these interests and goals. Consideration of applications will begin on January 19, 2017.
Please see https://www.ima.umn.edu/postdocs for more details.
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 http://www.sandia.gov/careers/ps-forward.html and search for 654859 or “high-performance computing”.
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: https://lbl.taleo.net/careersection/2/jobdetail.ftl?lang=en&job=82932