Secure Systems Postdoctoral Scholar

📁
Postdoctoral Fellow
💼
CR-Computational Research
📅
85011 Requisition #

The Data Science and Technology (DST) department in the Computational Research Division has an immediate opening for a postdoctoral researcher to perform research and development to evaluate, adapt, and integrate cutting edge computer security and privacy techniques with data-driven scientific workflows.  The goal of this work is to enable scientific computing of sensitive data without significantly compromising either usability or performance. The work includes software development, integration, experimentation, and data analysis techniques, and involves working with scientific workflows and domain scientists pertaining to science domains such as biomedical, energy, and transportation research, for whom data security and privacy technologies are now critical to facilitate data collection and sharing.


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:


  • In the context of scientific research and data, the position will be expected to extend the state of the art of trustworthy data analysis by leveraging:

  • 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.


Note that this position is not focused on developing new hardware and/or differential privacy techniques, but is an applied research position primarily focused on adapting existing technologies and techniques.  At the same time, sufficient expertise in the underlying areas is necessary in order to properly understand the systems being adapted.


Minimum Qualifications:


  • PhD degree in computer science, computer engineering, electrical engineering, mathematics, statistics, computational biology, 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.


Desired Qualifications:


  • Experience with key tools used in scientific data discovery, such as Jupyter notebooks, wSpark, PyML, TensorFlow, and/or related software systems.

  • Experience in modern data analysis methods, including statistical analyses, machine learning, and deep learning.

  • Experience with data movement and manipulation 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, AMD Secure Encrypted Virtualization, ARM TrustZone).

  • 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)


This position will be open until filled.


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

1) Curriculum Vitae​

2) A research, science, and/or user program vision statement

 

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 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.




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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.