Postdoctoral Scholar
Lawrence Berkeley National Lab’s (LBNL) Applied Mathematics and Computational Research Division has an opening for a Postdoctoral Scholar to join the team.
In this exciting role, you will conduct fundamental and applied research in sparse computations related to matrices, graphs, hypergraphs, simplicial complexes, and tensors. You will be part of Sparsitute: A Mathematical Institute for Sparse Computations in Science and Engineering. Sparsitute is supported for 5 years by the Department of Energy as a Mathematical Multifaceted Integrated Capability Center (MMICC). Sparsitute is a collaboration between LBNL, ORNL, Purdue University, University of Illinois at Urbana-Champaign, Indiana University, and Wake Forest University. The postdoctoral fellow will be hosted at LBNL but will get a chance to collaborate closely and network with all the PIs and personnel in these 6 institutions.
What You Will Do:
- Perform fundamental research in sparse matrix, sparse tensor, and sparse network algorithms.
- Design parallel algorithms for sparse computations in the three broad domains listed above.
- Implement parallel algorithms for HPC systems.
- Gain familiarity with scientific applications involving sparse computations.
- Publish and present research results in high-impact journals and top conferences in one or more of the following areas: parallel computing, graph algorithms, sparse matrix computations, computational topology, geometric learning.
What is Required:
- PhD degree, within the last 3 years, in Computer Science, Computational Sciences, Applied Mathematics, or a related technical field.
- Proficiency in C++, as well as one or more of the parallel libraries/languages: MPI, OpenMP, CUDA, SYCL.
- Ability to design and implement parallel algorithms for parallel computing, graph algorithms, sparse matrix computations, computational topology, and geometric learning.
- Ability to publish in top journals and conferences.
- Ability to conduct research in a highly collaborative environment.
- Excellent verbal and written communication skills.
Desired Qualifications:
- Software engineering tools: make, cmake, revision control systems (such as git).
- One or more of the popular scripting languages such as Python, Julia, or R
- Familiarity with sparsification techniques, such as sampling, sketching, etc.
- Working experience with sparse data structures.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/
Notes:
- This is a full-time, 2 years, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
- This position is represented by a union for collective bargaining purposes.
- Salary will be predetermined based on postdoctoral step rates.
- This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
- Work may be performed on-site, hybrid, full-time telework or remote modes. Work must be performed within the United States.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof that vaccination requirements have been met or submitting a request for Exception or Deferral. Visit covid.lbl.gov for more information.
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