We are looking for someone with strong computer science, programming, and data science skills interested in working to advance the next generation of science research problems through the applied research, development, and application of advanced cybersecurity techniques. Security and privacy technologies are now critical to many areas of scientific investigation.
The Data Science and Technology (DST) Department, in the Computational Research division (CRD) at Berkeley Lab develops software and tools to enable scientists to address complex and large-scale computing and data analysis problems beyond what is possible today. DST engages in partnerships with scientists to understand their computing and data analysis challenges to develop leading-edge solutions that fit the needs of the scientists. Current research areas and projects include workflow tools, user-level abstractions for exascale data discovery, development of new techniques to secure power grids and high-performance computing and networking environments, computationally driven discovery of new materials, and processing pipelines for scientific data. More details on projects available on http://dst.lbl.gov and http://dst.lbl.gov/security.
The Data Science and Technology (DST) department in the Computational Research Division has an immediate opening for a post-doctoral researcher to perform cutting edge research and development in hardware and software security techniques, with the goal of enabling and supporting scientific computing without significantly compromising usability and performance. This includes software development, experimentation, and analysis techniques, to computational workflows in multiple scientific domains. The position will work with workflows relating to security and HPC systems behavior in scientific computing environments, as well as analysis of security-related issues in cyber-physical system environments -- two key foci of cybersecurity R&D at the Berkeley Lab.
What you will do:
Enable scientific research by developing solutions for improving trustworthiness of scientific computing by leveraging hardware trusted execution environments, software techniques for computing over encrypted data, data provenance techniques (e.g., blockchains) to enable strong, understandability of computational behavior; and developing usable security solutions that allow scientists to understand and use computing systems naturally and efficiently.
Enable more reliable distribution of electrical power in the context of cyber-attacks through the improvement of key aspects of control and monitoring systems in the power grid.
Write scientific research papers suitable for submission to peer-reviewed computer science venues.
Work closely with researchers and application scientists throughout the DOE Office of Science community, with faculty and students from universities throughout the world, with staff in Integrated Data Frameworks group at LBNL, where this position is housed; the Energy Sciences Network (ESnet); the NERSC production computing facility; and other DOE Leadership Computing Facilities.
PhD degree in computer science, computer engineering, electrical engineering, or a related technical field is required.
Experience with fundamentals of computer security.
Proven experience writing software and proficiency and experience in programming languages such as C/C++ and/or Python.
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.
Established record of peer reviewed publications
Excellent English written and oral communication.
Keen interest in solving science challenges.
Experience with key tools used in scientific data discovery, such as Jupyter notebooks, Spark, and/or related software systems.
Experience with data movement and manipulation; leveraging Jupyter Notebooks and/or other workflow tools; and using APIs for various such libraries and databases.
Experience with applying privacy preserving techniques, such as differential privacy.
Experience with using hardware trusted execution environments (e.g., Intel SGX, ARM TrustZone) and/or applying secure multiparty encryption, homomorphic encryption, and related techniques.
Experience with computational methods used in scientific computing, and high-performance computing environments, including parallel languages and execution environments (e.g., MPI).
Experience with cloud platforms such as Amazon Web Services (AWS) and/or Google Cloud Platform (GCP)
Knowledge of principles pertaining to fault-tolerant, replicated state machine techniques, such as Paxos and Byzantine fault tolerance.
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 3 years paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
Work Schedule: 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.
Internal Number: 85011
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.