ML and Data Sciences Postdoctoral Scholar

Lawrence Berkeley National Lab’s (LBNL ) Scientific Data Division has an opening for an ML and Data Sciences Postdoctoral Scholar to join the team.

The Scientific Data Division fosters breakthrough discoveries through the application and development of novel data science methods, technologies, and infrastructures in partnership with science domain experts. We perform focused research and development in the areas of data driven modeling and analytics, scalable methods, data lifecycle and infrastructure, digital integrity, security, and privacy for scientific computing, and sustainable software engineering with deep science partnerships.

The Usable Data Systems (UDS) group in the Scientific Data Division has an immediate opening for a postdoc researcher who will join a team that is engaged in a wide array of research and development projects. In this exciting role, you will collaborate with researchers and application scientists from the DOE Office of Science community, and faculty and students from universities both nationally and internationally, on a wide range of software development and data science issues supporting the scientific mission.

What You Will Do:

• Perform research on automation of scientific workflows in a variety of fields, such asmicroelectronics and environmental sciences, biosciences, etc.
• Develop new methods and tools using Artificial Intelligence (AI) for automation and autonomous science, such as, self-driving experiments and self-guiding field observatories.
• Disseminate research results by publishing and presenting in high-impact journals and top conferences in the field.

Additional Responsibilities as needed:

• Develop approaches that incorporate newly developed visualization and dimension reduction methods.
• Apply dimension reduction and feature detection, e.g., via topological data analysis, to high-dimensional diagnostics of machine learning models, such as loss functions.
• Develop high-performance algorithms for visualization and data analysis of machine learning models.

What is Required:

• PhD degree, within the last 3 years, in Computer Science, Applied Mathematics, or a related technical field including natural sciences.
• Experience in one or more areas of scientific workflows, AI, data management, resource management.
• Proficiency in Python and/or related languages.
• Ability to publish in top journals and conferences.
• Ability to conduct research in a highly collaborative environment.
• Excellent verbal and written communication skills.

Desired Qualifications:

• Proficiency in C++.
• Experience in environment sciences, microelectronics, or other natural sciences.
• Experience in developing open source software tools.
• Experience with one or more of the machine learning libraries: PyTorch, Tensorflow, Jax.
• Experience with large scale systems including HPC or cloud computing.

Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/

Notes:

• This is a full-time, 5 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs.
• This position is represented by a union for collective bargaining purposes.
• The monthly salary range for this position is $6431-$8642 and is expected to start at $7843 or above. Postdoctoral positions are paid on a step schedule per union contract and salaries will be predetermined based on postdoctoral step rates. Each step represents one full year of completed post-Ph.D. postdoctoral experience.
• 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 may be performed on-site, hybrid, full-time telework. The primary location for this role is Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work must be performed within the United States.

Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof that vaccination requirements have been met or submitting a request for Exception or Deferral. Visit covid.lbl.gov for more information.

Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

Equal Opportunity and IDEA Information Links:

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