Security/Systems Postdoctoral Scholar
Lawrence Berkeley National Laboratory
The Computational Research Division has an immediate opening for a Security/Systems Postdoctoral Scholar to perform vital research and development in the area of the use of trusted execution environments (TEEs) in high-performance computing (HPC) domains. The goal of this work is to enable high-performance scientific computing of sensitive data without significantly compromising usability or performance. The work includes software development of and experimentation with security and privacy technologies critical to facilitate data collection and sharing.
The goal of this position is to contribute to developing and implementing new trusted execution environment architectures and related low-level system software appropriate to the threat model and performance requirements of high- performance scientific computing. Current commercial TEEs are inadequate for HPC for a variety of reasons. Our solution involves a RISC-V based architectural development, development of and modifications to low-level operating system elements, and implementation and experimentation.
What You Will Do:
In the context of scientific research and data, the position will be expected to extend the state of the art of trustworthy scientific computing by advancing hardware trusted execution environments for high- performance computing in one or more directions. This may include:
Development and analysis of system-level software (e.g., OS elements, drivers) that ameliorate the mismatch between existing systems, scientific use cases and threat models, and current processors.
Development or modification of software libraries that address needs for encrypted communication between and within system components in an HPC system with minimal latency.
Write scientific research papers suitable for submission to peer-reviewed computer science venues.
Work closely with researchers and application scientists throughout the Department of Energy (DOE) Office of Science community, with faculty and students from university partners, with researchers in the Computational Research Division at Berkeley Lab, and with staff at the DOE Office of Science’s NERSC supercomputing facility.
What is Required:
PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
Proven experience in software engineering methodologies and in writing low-level system software, such as operating system kernels and drivers.
Proficiency and experience in programming languages including low-level programming languages used in systems software, such as C/C++ and Rust, and higher-level languages used in data analysis, such as Python.
Established record of peer reviewed publications in top systems and/or security venues, such as SOSP, OSDI, NSDI, EuroSys, ASPLOS, Oakland (IEEE Security and Privacy), USENIX Security, NDSS, ACM CCS, etc…
Proficiency with UNIX tools and computer systems.
Demonstrated ability to work independently and collaboratively in a diverse interdisciplinary team and contribute to an active intellectual environment.
Excellent written and oral communication.
Familiarity with fundamentals of computer security and/or familiarity with using trusted execution environments.
Familiarity with computational methods used in scientific computing environments, including parallel execution environments (e.g., MPI).
Familiarity with assembly language and/or the RISC-V Instruction Set Architecture.
For full consideration, please submit a Research Statement.
This is a full-time, 1 to 2 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 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.
This position will be remote initially, but limited to individuals residing in the United States tentatively until 2021 due to COVID-19. Once the Bay Area shelter-in-place restrictions are lifted, work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
Learn About Us
The Computational Research Division at Berkeley Lab conducts research and development in a wide array of computational areas and collaborates directly with scientists across LBNL, the Department of Energy, academia, and industry to solve some of the world’s most challenging computational and data management and analysis problems in a broad range of scientific and engineering fields, including research in high-performance computing (HPC) technology for extreme-scale computing systems. Our research areas address aspects of scientific computing that are not adequately addressed by existing frameworks and tools. Details on current and recent security projects are available on https: // dst.lbl.gov/security.