Postdoctoral Scholar
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
SessionJob Postings
DescriptionLawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Applied Mathematics and Computational Research Division (https://crd.lbl.gov/divisions/amcr) 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.
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.
RequirementsWhat 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.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
·
·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location