Berkeley Lab's Computational Research Division has an opening for a Computational Postdoctoral Scholar. The Computer Architecture Group is interested in the design, architecture and programming of future HPC systems to enable continued scientific research. A timely question for our group is how to continue performance scaling in the face of reduced technology node scaling, commonly referred to as Moore's Law. In order to enable continued performance scaling of computing hardware we are investigating all options from specialized hardware accelerators, micro-architectural enhancements, new devices to replace existing CMOS transistors, emerging memories, 3D, and photonics.
This position requires you to participate in a larger effort in developing and applying an innovative new modeling and simulation flow that quantifies the impact of new device technologies and manufacturing techniques for computation and memory will have on application performance. The incumbent will also participate in micro-architectural research towards improving performance of critical HPC applications. You will have demonstrated experience with the design and implementation of modeling and simulation of micro-architecture, and a solid understanding of semiconductor devices, architecture specialization, memories, and 3D integration. You will also establish strong collaborations to use this simulation flow as part of research projects in adjacent fields by collaboration with other experts.
What You Will Do:
Design and implement a multi-scale modeling and simulation environment to model the impact of a wide range of emerging device technologies on HPC applications and system design.
Work closely with the developers of compact device models for incorporation into the simulation framework, including developers of other relevant technologies. Provide feedback and suggestions to those developers on how to improve their device's performance at the architectural level.
Provide expertise in developing long-term strategies for modeling and simulation efforts.
Provide expertise in setting research direction and priorities for future computing architectures.
Collaborate with algorithm and software developers for the purpose of making this framework easily accessible to them.
Apply the completed modeling and simulation flow as part of research and development efforts targeting new computational architectures for all aspects of scientific computing. Implement models for these computational architectures as needed.
Participate in all requested assignments, including research, preparation of funding proposals, documentation of results and reporting results to sponsors.
Additional Responsibilities as needed:
Establish research directions and pursue funding opportunities.
What is Required:
PhD in Computer Science, Applied Mathematics, Computational Science, Mechanical Engineering, Physics or a related discipline.
Understanding of devices and their models, 3D integration, emerging memory technologies, and architecture specialization (e.g., accelerators).
Demonstrated expertise in working with modeling and simulation methods and software tools for hardware exploration.
Demonstrated expertise in Verilog, C++, Python.
Familiarity with HPC and scientific computing applications.
Excellent oral and written communication skills.
Demonstrated ability to work effectively as part of a cross-disciplinary team.
Additional Desired Qualifications:
Demonstrated expertise in Scala.
Understanding of programming models popular in HPC.
The posting shall remain open until the position is filled.
This is a full time, 1 year, 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 4 years paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
Full-time, M-F, exempt (monthly paid) from overtime pay.
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 will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
Berkeley Lab (LBNL) addresses the world's most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab's scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy's Office of Science.
Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4. Click here to view the poster and supplement: "Equal Employment Opportunity is the Law."
Internal Number: 85659
About Lawrence Berkeley National Laboratory
In the world of science, Lawrence Berkeley National Laboratory (Berkeley Lab) is synonymous with excellence. Thirteen scientists associated with Berkeley Lab have won the Nobel Prize. Fifty-seven Lab scientists are members of the National Academy of Sciences (NAS), one of the highest honors for a scientist in the United States. Thirteen of our scientists have won the National Medal of Science, our nation's highest award for lifetime achievement in fields of scientific research. Eighteen of our engineers have been elected to the National Academy of Engineering, and three of our scientists have been elected into the Institute of Medicine. In addition, Berkeley Lab has trained thousands of university science and engineering students who are advancing technological innovations across the nation and around the world. Berkeley Lab is a member of the national laboratory system supported by the U.S. Department of Energy through its Office of Science. It is managed by the University of California (UC) and is charged with conducting unclassified research across a wide range of scientific disciplines. Located on a 200-acre site in the hills above the UC Berkeley campus that offers spectacular... views of the San Francisco Bay, Berkeley Lab employs approximately 4,200 scientists, engineers, support staff and students. Its budget for 2011 is $735 million, with an additional $101 million in funding from the American Recovery and Reinvestment Act, for a total of $836 million. A recent study estimates the Laboratory's overall economic impact through direct, indirect and induced spending on the nine counties that make up the San Francisco Bay Area to be nearly $700 million annually. The Lab was also responsible for creating 5,600 jobs locally and 12,000 nationally. The overall economic impact on the national economy is estimated at $1.6 billion a year. Technologies developed at Berkeley Lab have generated billions of dollars in revenues, and thousands of jobs. Savings as a result of Berkeley Lab developments in lighting and windows, and other energy-efficient technologies, have also been in the billions of dollars. Berkeley Lab was founded in 1931 by Ernest Orlando Lawrence, a UC Berkeley physicist who won the 1939 Nobel Prize in physics for his invention of the cyclotron, a circular particle accelerator that opened the door to high-energy physics. It was Lawrence's belief that scientific research is best done through teams of individuals with different fields of expertise, working together. His teamwork concept is a Berkeley Lab legacy that continues today.