Apply at: https://lbl.taleo.net/careersection/2/jobdetail.ftl?lang=en&job=84027

• Please note that LBNL cannot hire persons with more than 5 years of post-PhD research experience as postdocs

Position Summary:

Berkeley Lab’s Energy Storage & Distributed Resources Division has an opening for a Postdoctoral Scholar. Today, new tools and data sources are enabling an informatics-based approach to materials design. In this project, the postdoc will develop new methods for creating links between materials information and understanding materials properties through text mining and data mining. In addition, the postdoc will develop techniques to help link outputs of fundamental simulations from methods such as density functional theory to engineering properties of materials that are not directly accessible by simulation through the use of physical models and machine learning. The ultimate goal is to create several new resources that amplify the impact of data and simulations in materials design applications.

This position will be part of the Hackingmaterials research group at LBNL. Applications will be evaluated on a rolling basis and an early start is preferred.

What You Will Do:

• Develop and use software libraries to crawl large libraries of text-based materials information that is publicly available.
• Design and maintain databases of materials properties.
• Develop web interfaces for searching materials information.
• Use data mining to better understand relationships between materials properties.
• Research and implement physical models that connect outputs of fundamental simulations with engineering properties of materials.

Additional Responsibilities as needed:

• Collaborate with the Materials Project initiative at LBNL.
• Ensure that these results are translated to industry impact.

What Is Required:

• Ph.D. in related field (Computer Science, Electrical Engineering, Materials Science, Physics, or Chemistry).
• Extremely high aptitude and desire for programming and building software infrastructure; object-oriented programming, databases (MongoDB preferred), software engineering practice (version control, unit testing, continuous integration). Preferred language of experience is Python.
• Very strong analytical background, e.g., experience with statistical analysis.
• Prior ability or demonstrated desire (e.g., classwork) to learn data mining and data analysis.
• Prior ability or demonstrated desire (e.g., Github profile) to contribute to a large software framework.
• Excellent communication skills that facilitate interdisciplinary work with multiple collaborators.
• Strong publication history.

Additional Desired Qualifications:

• Prior experience developing and maintaining databases of materials data.
• Web development experience (HTML/CSS/JQuery, frameworks e.g. Flask).
• Prior work in the field of materials informatics is a plus.

The posting shall remain open until the position is filled, however for full consideration, please apply by close of business on September 6, 2017.

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 4 years paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
  • 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.

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."

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.