Berkeley Lab is seeking a Postdoctoral Scholar for research focused on the development machine learning approaches, algorithms and data sets to solve chemical sciences problems.

The Postdoctoral Scholar will contribute to the development and/or advancement of open-source software tools, primarily in Python, and likely in C/C++, focused on the implementation and design of neural networks and integration into Jupyter Notebooks. This position will be involved collaborations with commercial partners. Involvement in the publication of the research and contributions at conferences is expected.

The position will be part of an integrated team of biochemists, computational chemists and physicists and machine learning algorithms developers that will design and deliver novel approaches that will break new ground in utilizing machine learning to solve complex biochemical problems, with the near-term focus on mass-spectrometry, and provide a foundation for algorithmic development by the broader scientific and engineering scientific community.