Computational Research Scientist

📁
Research/Science
💼
CR-Computational Research
📅
87702 Requisition #

Berkeley Lab’s Computational Research Division has an opening for a Research Scientist. The successful candidate will work in the Data Science and Technology (DST) department 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.   

 

The selected individual will apply a demonstrated track record of strong computer science, programming, and data science skills and an interest 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. 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 useful solutions for improving the trustworthiness of scientific computing by:

    • leveraging hardware trusted execution environments and software techniques for computing over encrypted data to enable analysis of data while preserving privacy; and

    • developing usable security solutions that allow scientists to understand and use computing systems naturally and efficiently.

  • Enable more reliable distribution of electrical power, oil and gas, and transportation systems, in the context of cyber-attacks through the improvement of key aspects of control and monitoring systems in those respective domains.

  • Write scientific research papers suitable for submission to peer-reviewed computer science venues.

  • Lead and assist in writing proposals to obtain sponsored research funding.

  • Mentor junior researchers, including postdocs and students.

  • Work closely with researchers and application scientists throughout the DOE Office of Science and DOE Applied Energy Office community, faculty and students from universities throughout the world, industry partners, staff in Integrated Data Frameworks group at LBNL, the Energy Sciences Network (ESnet), the NERSC production computing facility and other DOE Leadership Computing Facilities.


What is Required: 

  • PhD degree or equivalent experience 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.

  • Strong publication track record and established record of peer reviewed publications.

  • Significant contributions to successful sponsored research proposals.

  • Experience mentoring junior researchers.

  • 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.

  • Keen interest in solving science challenges.


Additional 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 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 leading research efforts and/or research teams

  • 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.


The posting shall remain open until the position is filled, however for full consideration, please apply by close of business on August 9, 2019.


To be considered please provide the following materials in your application:

1) Curriculum Vitae​

2) A research, science, and/or user program vision statement (2-page maximum)


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.



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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."

 

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The Lawrence Berkeley National Laboratory provides accommodation to otherwise qualified internal and external applicants who are disabled or become disabled and need assistance with the application process. Internal and external applicants that need such assistance may contact the Lawrence Berkeley National Laboratory to request accommodation by telephone at 510-486-7635, by email to eeoaa@lbl.gov or by U.S. mail at EEO/AA Office, One Cyclotron Road, MS90R-2121, Berkeley, CA 94720. These methods of contact have been put in place ONLY to be used by those internal and external applicants requesting accommodation.