The goal of this position is to research adversarial machine learning methods that will enable safer operation of automated, adaptive deep-learning-driven cyber-physical system processes. Numerous DOE-relevant processes are becoming automated and adaptive, using machine learning techniques, such as reinforcement learning, in which the state after one run of the process automatically influences the actions taken on subsequent runs often without a human in the loop. Examples of such processes relevant to DOE today include: intelligent transportation systems, adaptive control of grid-attached equipment to stabilize power grid function, and more. This creates a vulnerability for a cyber attacker to sabotage processes through tainted training data or specially crafted inputs.
To accomplish this, the postdoc will use tools from AI to develop characterizations of dynamic systems, will develop the underlying math for adversarial manipulation of the ML models, and methods that will seek to enable detection and prevention of manipulation via attacking the learning methods. In the context of the power grid, the postdoc will examine ways in which automated power grid systems can be attacked, and will develop algorithms to determine which cyber-physical system properties should be adjusted to re-stabilize unstable operating points.
Important qualities of the position include experience in adversarial learning and deep learning, experience with control theory, and experience with software development, including experience in working in team-based development environments; and a strong interest in science, enabling scientific research, learning new scientific domains, and working closely with domain scientists.
The Data Science and Technology department 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. Our research areas address aspects of scientific computing that are not adequately addressed by existing frameworks and tools. Details on current and recent projects are available on http://dst.lbl.gov and http://dst.lbl.gov/security.
What You Will Do:
Write scientific research papers suitable for submission to peer-reviewed computer science venues, such as ICML, ICLR, or NeurIPS; computer security venues such as the IEEE Symposium on Security & Privacy or the USENIX Security Symposium; or control theory venues.
Use tools from AI to develop reduced order characterizations of high-dimensional dynamic systems.
Develop the math underlying adversarial manipulation of the ML models and methods that will seek to enable detection and prevention of manipulation via attacking the learning methods.
In the context of the power grid, examine ways in which automated power grid systems can be attacked, and will develop algorithms to determine which cyber-physical system properties should be adjusted to re-stabilize unstable operating points.
Work with research staff in the Berkeley Lab Data Science & Technology Department and Grid Integration Group, with researchers and application scientists throughout the Berkeley Lab and the DOE Office of Science community, and with faculty and student collaborators from universities throughout the world.
What is Required:
Ph.D. degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Statistics, or a related technical field is required.
An established track record of peer-reviewed publications in deep learning and/or adversarial machine learning.
Experience with key tools used in scientific data discovery, such as Jupyter notebooks, Spark, PyML, TensorFlow, and/or related software systems.
Proven experience writing software and proficiency and experience in programming languages such as C/C++ and/or Python.
Demonstrated ability to work independently and collaboratively in a diverse interdisciplinary team and contribute to an active intellectual environment.
Excellent written and verbal skills.
Keen interest in solving science challenges.
Experience in control theory and/or signal processing.
Experience with electric power systems is a plus.
Proficiency with UNIX tools and computer systems.
This is a full-time 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 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 will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
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."
Lawrence Berkeley National Laboratory encourages applications from women, minorities, veterans, and other underrepresented groups presently considering scientific research careers.
Internal Number: 91189
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.