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.
Position Summary:
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 analysis, including use of machine learning and/or graph-theoretic approaches in multiple domains. The position will work with data relating to security and HPC systems behavior in scientific computing environments, as well as analysis of security-related issues in cyber-physical system environments.
What You Will Do:
Work with HPC facility operators and application scientists running computations at the Berkeley Lab to understand and analyze available data sources and necessary analyses.
Collect, manipulate, and analyze data related to security and HPC systems-behavior related research questions in scientific computing environments.
Enable more reliable distribution of power in the context of cyber attacks through the improvement of key aspects of network monitoring systems to cyber-physical systems.
Write scientific research papers suitable for submission to peer-reviewed computer science venues.
Enable science by helping to create better understanding of the computational behavior of software running on HPC systems, allowing scientists to understand and use computing systems more efficiently..
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.
What Is Required:
PhD degree in computer science, computer engineering, electrical engineering, or a related technical field is required.
Demonstrated expertise in one or more broad types of data analytics, such as machine learning and/or graph theoretic analyses.
Proven experience writing and/or adapting software and proficiency and experience in programming languages such as C/C++, Java, and/or Python.
Experience with data movement and manipulation; setting up and interacting with SQL and NoSQL databases; and using APIs for various such libraries and databases.
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 written and oral communication.
Keen interest in solving science challenges.
Additional Desired Qualifications:
Experience with fundamentals of computer and network security.
Experience with high-performance computing environments, including parallel languages and execution environments (e.g., MPI)
Experience with network monitoring using tools such as Wireshark or Bro.
We encourage all applicants to provide a cover letter and a statement of research interests when applying.
The posting shall remain open until the position is filled.
Notes:
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 2 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 is contingent on the successful completion of a background check.
- 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."
