Privacy-Preserving Data Analysis Postdoctoral Scholar

📁
Postdoctoral Fellow
💼
CR-Computational Research
📅
88519 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 differential privacy techniques with data-driven scientific workflows.  

 

The goal of the position is to take part in enabling certain types of scientific data analysis where, due to data sensitivity issues, limits need to be placed on the underlying raw data exposed to the researcher.  Addressing this issue is now critical to facilitate data collection and sharing.

 

This work will involve working very closely with both dataset owners and domain scientists doing research on the data, to optimize the application of the DP technique to the scientific workflows in order to ensure that differential privacy is applied in the right place in the workflow, that the "right" information is output to the user, and that epsilon is appropriately tuned.

 

Important qualities of the position include experience in pros and cons of applications of differential privacy; strong software development skills, 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.


Responsibilities:

  • In the context of scientific research and data, the position will be expected to extend the state of the art of trustworthy, scientific data analysis by leveraging, applying, and integrating differential privacy with scientific workflows being examined at the Berkeley Lab, such as health data, electric utility data, transportation, etc.., in a user-centered design process.

  • 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.


Qualifications:

  • PhD degree in computer science, computer engineering, electrical engineering, mathematics, statistics, computational biology, or a related technical field is required.

  • Experience with applying privacy preserving techniques, such as differential privacy.

  • Experience with applying modern data analysis methods.

  • 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.

  • 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 verbal communication.


Additional Preferred Qualifications:

  • Experience with applying deep learning methods.

  • Experience with fundamentals of computer security.

  • Experience with data movement and manipulation and using APIs for various such libraries and databases.

  • Experience with cloud platforms such as Amazon Web Services (AWS) and/or Google Cloud Platform (GCP).


The posting shall remain open until the position is filled.

Notes:

  • Appointment Type:

    • Postdoctoral Scholars - 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 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.

  • Union:

  • This position is represented by a union for collective bargaining purposes.

  • Salary will be predetermined based on postdoctoral step rates.

  • Background Check:

    • 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.  Click here to view the poster and supplement: "Equal Employment Opportunity is the Law."

 

 


Previous Job Searches

My Profile

Create and manage profiles for future opportunities.

Go to Profile

My Submissions

Track your opportunities.

My Submissions

Similar Listings

GO-Energy Geosciences

Bay Area, California, United States

📁 Postdoctoral Fellow

Requisition #: 88128

JG-Joint Genome Institute

Bay Area, California, United States

📁 Postdoctoral Fellow

Requisition #: 88343

CR-Computational Research

Bay Area, California, United States

📁 Postdoctoral Fellow

Requisition #: 88454

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."

 

Privacy & Security Notice | LBNL is an E-verify Employer | Contact Us


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.