Lawrence Berkeley National Lab’s (LBNL) Energy Storage & Distributed Resources Division has an opening for a Machine Learning Postdoctoral Fellow to join the team.
The Center for Ionomer-based Water Electrolysis (CIWE), an Energy Earthshot Research Center, has an immediate opening for a postdoctoral researcher to conduct applied research in the area of machine learning, pattern/feature detection, statistical description, computer vision, image processing and analysis, and parallel computing. The overall objectives for this work are to develop new software tools that enable scientific knowledge discovery using high performance computational platforms and advance the state-of-the-art in data-intensive analysis. You will be part of an experienced team conducting R&D in the areas of data-intensive ML, high performance, visualization, analysis, and data management.
As a part of CIWE, there will be a focus on the fundamental challenges of water electrolysis and exploring the catalyst-ionomer interface, while being guided by the DOE’s Hydrogen Shot Goal of $1/kg in one decade. This center is a collaborative environment, where you will be engaging with scientists from various fields, spanning material synthesis and diagnostics, advanced characterization, electromechanochemistry, modeling, theory, and data science fields.
What You Will Do:
- Develop theory and optimization techniques for tackling noise and missing data for improved image resolution.
- Design and implement parallel algorithms in computer vision and machine learning applied to DOE image-based data.
- Develop new data-driven methods that leverage physics-informed machine learning for semantic segmentation and generative modeling of porous media and material interfaces.
- Develop software tools involving data-intensive computing, analytics and machine learning, enforcing reproducibility (e.g. Doxygen, git).
- Publish and present research results in journals and conferences.
- Maintain documentation of theory, derivations, and results.
- Adhere to the Berkeley Lab and ETA safety requirements.
- Work on meeting milestones and reporting them to DOE, various consortia leadership, and industrial sponsors.
- Collaborate and work with a team of researchers from diverse backgrounds, and interface with research teams across industry, academia, and national laboratories.
What is Required:
- PhD in Computer Science or equivalent/related field and to be eligible for a postdoctoral researcher position.
- Experience using and developing with PyTorch and/or TensorFlow for implementation of deep learning pipelines.
- Demonstrated research experience in one or more of the following areas: software engineering, image analysis, computer vision, feature/pattern detection/analysis as evidenced by original, published work.
- Knowledge of numerical linear algebra, optimization techniques, and Fourier analysis.
- Excellent oral and written communication skills.
- Ability to work productively both independently and as part of a diverse team.
Desired Qualifications:
- Knowledge of one or more of the following science areas: micro-tomography, SEM, TEM, STEM, multimodal imaging.
- Software engineering tools experience: make, cmake, revision control systems (CVS, SVN, git), gdb.
- Demonstrated ability to design and implement image processing/statistical analysis software, preferably shared and distributed memory parallel software, in one or more of the following programming languages and parallel libraries/languages/environments: Python, C/C++, Java, R, MPI, OpenMP, CUDA.
- Experience with the DASK library.
- Prior work experience designing and implementing image processing/analysis software.
- Any knowledge of the following areas: water electrolysis, electrochemical systems, hydrogen technologies.
- Familiarity with scientific data models/formats and I/O libraries, as well as engines for large-scale data processing, e.g. Apache Spark.
For Consideration, please include the following application materials:
- Cover Letter - Describe your interest in this position and the relevance of your background.
- 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 of paid postdoctoral experience.
- This position is represented by a union for collective bargaining purposes.
- The monthly salary range for this position is $7,455 / mo - $8,326.00 / mo and is expected to start at $7,455 / mo or above.
- This position may be subject to a background check.
- Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
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.
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