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.
We are excited to announce the 2019 Los Alamos National Laboratory Applied Machine Learning/Applied Research in Earth Sciences (ARiES) Summer School. The theme topics for this year include
- Scientific Machine Learning for Geoscience Applications;
- Nonnegative Tensor Factorization for Machine Learning;
- Machine Learning for Analyzing Scientific Images;
- Active Learning Applied to Fluid Flow in Nanoscale Porous Media.
We are currently accepting applications. Successful applicants will receive a prestigious research fellowship, hands-on technical training experiences and professional development from internationally reputable geophysics, space, and computational scientists.
For more information about our summer school, project, and mentor information, please visit our summer school website at http://aml.lanl.gov. Applications must be submitted by January 3, 2019, for the first round of consideration. Late applications may also be considered.
The Institute for Computational Engineering and Sciences (ICES) at The University of Texas at Austin is an interdisciplinary research and education institute focused on transforming science, engineering, and medicine through computation. ICES invites applicants for two tenure-track assistant professor faculty positions.
The first position is at the interfaces of Data Science and Computational Science. Areas of interest include, but are not limited to, computational statistics, machine learning, graph theory, randomized linear algebra, and tensor methods. Candidates should have a strong connection to challenging applications in science, engineering and/or medicine. Candidates should be committed to establishing an interdisciplinary research program at the intersection of advanced mathematical, statistical, and computational techniques, high-performance computing, and target applications. The successful candidate will be appointed in an appropriate department at UT, depending on their research and teaching interests.
The second position is in the area of Computational Medicine. Areas of interest include, but are not limited to, computational oncology, computational cardiology, computational neurosciences, and imaging science. Candidates should be committed to establishing an interdisciplinary research program at the intersection of target medical problems and advanced mathematical, statistical, and computational techniques. The successful candidate will be appointed in an appropriate department at UT, depending on their research and teaching interests. This includes the possibility of an appointment at the new Dell Medical School.
Review of applications will begin January 15, 2019. Full details on both positions can be found at https://www.ices.utexas.edu/about/jobs/
The Department of Mathematical Sciences at the University of Liverpool invites applications for a lectureship position in the area of Applied and Computational Mathematics, affiliated with the Engineering and Physical Sciences Research Council funded Liverpool Centre for Mathematics in Healthcare.
We are particularly interested in individuals from areas like data, imaging, learning and computational sciences who are also keen on developing novel mathematics for industrial or clinical applications. The University is committed to diversity and equality of opportunity.
See https://tinyurl.com/Liverpool-Post-Mar2019 for full details. Application deadline: 1 March 2019.
Applications for the Luis W. Alvarez postdoctoral fellowship at the Berkeley Lab are open until November 23. More information about the fellowship and how to apply can be found in http://cs.lbl.gov/careers/alvarez-fellowship/
Applications are invited for a postdoc position in the Computer Science Department at the College of William and Mary, Williamsburg, VA, USA. The position is initially for one year, renewable for a second year based upon performance. The candidate is expected to lead together with professors A. Stathopoulos and Z. Liu an NSF-funded project of designing and implementing large scale Singular Value Decomposition solvers optimized for modern machine learning algorithms. It has two specific objectives. First, to provide high performance implementations of state-of- the-art Singular Value Decomposition (SVD) techniques, including randomized, streaming, and iterative methods, which will deliver consistent user experience for a diverge range of problems and requirements. Second, to implement high level interfaces that enable downstream applications in machine learning and SVD solvers to interoperate. The candidates will also be exposed to opportunities to tackle tough, large scale machine learning problems alongside with statisticians and engineers.
Required Qualifications: Ph.D. In a scientific computing area, with strong programming skills in C/C++/Python. Strong background in two of the three areas: numerical linear algebra, high performance computing, and machine learning applications.
Preferred Qualifications: Strong background in all above three areas, and experience in creating/maintaining open source software at public repositories.
To apply submit a vita and the names of at least two references at
https://jobs.wm.edu/postings/33877 , Position Number: F0991W.
Reviewing of applications starts on Dec 10, 2018, and continues until the position is filled.
PhD Fellowships in Computational Science, Engineering, & Mathematics (CSEM) program, ICES, UT AustinPosted to SIAG/LA: November 7, 2018.
The Institute for Computational Science and Engineering (ICES) at the University of Texas at Austin invites applications for four-year PhD fellowships in its Computational Science, Engineering, and Mathematics (CSEM) graduate program. The fellowships cover tuition and fees and feature generous stipends.
The CSEM program offers a unique interdisciplinary PhD degree that integrates applied mathematics, computing, and applications in science, engineering, medicine, and beyond. Students conduct research in such mathematical and computational areas as scientific computing, uncertainty quantification, numerical analysis, optimization, parallel algorithms, inverse problems, controls, machine learning, and data analysis, with applications in materials, engineering, medicine, life sciences, geosciences, physical sciences, and others. Students use leading-edge supercomputers and visualization facilities at the Texas Advanced Computing Center (TACC) for their work.
ICES brings together under one roof applied mathematicians, computer scientists, statisticians, and computational scientists/engineers from 23 academic departments to address challenging problems that can be tackled only from an integrated perspective. Most of ICES’ 250+ graduate students, postdocs, research scientists, core faculty, visitors, and staff are housed together in a 180,000 sq ft state-of-the-art building.
To apply for Fall 2019 admission and to be considered for a PhD fellowship, please visit https://www.ices.utexas.edu/graduate-studies/. The application deadline is December 15, 2018.
Emory University invites applications for Graduate Fellowships. The Departments of Mathematics and Computer Science offer M.Sc. and PhD tracks and a variety of possible research specializations. For PhD students in Mathematics, a number of five-year scholarships are available.
Graduate students receive scholarships that cover all tuition expenses, a stipend (minimum 31,000 USD per year), health insurance, and professional development support funds (minimum 2,500 USD) to support travel to conferences. Moreover, several special admissions scholarships are available. More info:
Numerical Analysis and Scientific Computing are among the departments’ key focus areas. Our graduate program focuses on numerical linear algebra, partial differential equations, and optimization and their application to computational fluid dynamics, inverse problems, and machine learning. Graduate students are offered excellent research opportunities in these areas and opportunities for interdisciplinary collaborations with leading experts from a variety of disciplines including cardiology, radiology, biostatistics, biomedical engineering, geophysics, and data science. More information about our research group can be found at:
International students are encouraged to apply, and successful candidates will need to obtain a US visa. More info:
The application deadline for Fall 2019 admission is December 15, 2018. Application instructions and further information can be found at
Postdoc position at the clinical informatics lab, University of MichiganPosted to SIAG/LA: October 24, 2018.
Postdoctoral position at
Biomedical and Clinical Informatics Lab
Department of Computational Medicine and Bioinformatics
University of Michigan
The Biomedical and Clinical Informatics Lab at the University of Michigan, Ann Arbor has an immediate opening for a postdoctoral research fellow. Our laboratory specializes in designing computer-aided decision support systems for clinical applications, as well as developing novel signal/image processing, machine learning, and artificial intelligence (AI) techniques.
The applicant will apply algebraic and numerical methods to tensor data. Applicants must have completed a PhD in Electrical Engineering, Computer Science, Mathematics, Statistics or other closely related fields and should have a strong mathematical background in algebra, optimization, computational mathematics and/or statistics. Fluency in English conversation and the team work skills necessary to collaborate in a multidisciplinary environment will be important assets. Additional roles include leadership and active participation in project management activities, including the administration of research projects. This position will require initiative and the ability to work without close supervision.
How to Apply:
Please send your current CV, a research statement, and a list of relevant publications to email@example.com.
Computational Research Division (CRD) of Lawrence Berkeley National Laboratory (LBNL) has immediate openings for multiple postdoctoral fellow positions. We are looking for candidates with expertise and interest in parallel algorithm development and/or high-performance computing. The problem areas include Genomics, Graph Analytics, Randomized Algorithms, Sparse Matrices, and Machine Learning.
Applications are accepted until the position(s) are filled. More details and instructions to apply can be found here: https://lbl.referrals.selectminds.com/jobs/computing-postdoctoral-scholar-1251.
Postdoctoral Appointee - Solvers for Emerging Architectures (Job ID: 663933) Sandia National Labs, Albuquerque, NM
The Computational Mathematics Department is seeking a Postdoctoral Appointee in HPC multigrid solvers. Responsibilities include: (1) Conduct leading-edge research/publish in Algebraic Multigrid (AMG) methods for advanced architectures to support coupled multi-physics applications, (2) Software development and numerical investigation, (3) Work as part of a multi-disciplinary team and thrive in a fast-paced technical environment, (4) Collaborate with other staff members, (5) Travel as need to support ongoing projects
This position does not currently require a Department of Energy (DOE)-granted security clearance.
For more detailed information, go to http://jobs.sandia.gov and search for Job ID 663933. You can also click the following link directly:
Feel free to send Ray Tuminaro (firstname.lastname@example.org), email if you have any questions.