Computer Systems Research Scientist
The Data Science and Technology (DST) department in the Computational Research Division at the Berkeley Lab has an opening for a Research Scientist to perform cutting edge research and development in hardware and software systems, with the goal of enabling and supporting scientific computing.
We are looking for an individual with a demonstrated track record of strong research, programming, and data analysis skills interested in working to help create the next generation of cyberinfrastructure for science through the research and development of architectures and technologies for secure, usable, and performant computational systems. This includes research, software development, experimentation, and analysis techniques that can be applied to computational workflows in multiple scientific domains. The position will address challenges in areas such as secure workflows on HPC systems, secure and reliable high-performance networking and storage, and the applications of machine learning for scientific data search and building autonomous (self-correcting) cyberinfrastructure.
The Data Science and Technology department 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 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/projects.
What You Will Do:
Write scientific research papers suitable for submission to peer-reviewed computer science venues, in research areas connected to high-performance computing and networking, secure cyberinfrastructure, and scalable data discovery.
Lead and assist in writing proposals to obtain sponsored research funding.
Mentor junior researchers, including postdocs and students.
Develop usable solutions for improving trustworthiness of scientific computing using technologies such as hardware trusted execution environments and computing over encrypted data; and develop usable security solutions that allow scientists to understand and use computing systems naturally and efficiently.
Enable usable and scalable large-data discovery through applications of machine learning on distributed cyber-infrastructure.
What is Required:
PhD degree in computer science, computer engineering, electrical engineering, or a related technical field is required.
Experience with fundamentals of computer systems or security.
Proven experience writing software and proficiency and experience in programming languages such as C/C++ and/or Python.
Significant contributions to successful sponsored research proposals
Experience mentoring junior researchers.
Proficiency with UNIX tools and computer systems.
Desired Qualifications:
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 workflow tools; and using APIs for interacting with libraries and databases.
Experience with applying privacy preserving techniques, such as differential privacy.
Experience with using hardware trusted execution environments 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.
Experience with cloud platforms such as Amazon Web Services (AWS) and/or Google Cloud Platform (GCP).
Notes:
This is a full-time 1 year, career-track term appointment that may be renewed to a maximum of five years and that may be converted to career based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs.
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.
Learn About Us:
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.
Working at Berkeley Lab has many rewards including a competitive compensation program, excellent health and welfare programs, a retirement program that is second to none, and outstanding development opportunities. To view information about the many rewards that are offered at Berkeley Lab- Click Here.
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.