Postdoctoral Scholar in Deep Learning for HPC

Berkeley Lab’s Computational Research Division has an opening for a Computer Science Postdoctoral Scholar to conduct fundamental and applied research in performance optimization of deep learning for science codes running on multicore- and accelerator-based supercomputers. The successful candidate will join the Performance and Algorithms (PAR) group that is funded to work on high-impact projects on Exascale computing, Roofline and performance analysis, computational biology, computations on graphs and sparse matrices, and artificial intelligence for science. 

 What You Will Do:

• Analyze the performance and scalability of deep learning for science codes running on multicore- and accelerator-based supercomputers.

• Develop, implement, and evaluate parameter, implementation, and algorithmic optimizations that affect improved performance and scalability.

• Publish and present research results in high-impact journals and top conferences in the areas of fusion science, parallel computing, and machine learning.

What Is Required:

• Ph.D. degree, within the last 3 years, in Computer Science, Computational Sciences, Applied Mathematics, or a related technical field.

• Proficiency in C and/or C++ programming language.

• Proficiency in one or more of the parallel libraries/languages such as MPI, OpenMP, CUDA.

• Ability to publish in top journals and conferences.

• Ability to conduct research in a highly collaborative environment.

• Excellent verbal and written communication skills.

Additional Desired Qualifications:

• Software engineering tools such as make and git.

• Experience with deep learning frameworks such as TensorFlow, Caffe, Keras, or PyTorch.

• One or more of the popular scripting languages such as Python, Julia, or R.

The posting shall remain open until the position is filled.

Notes: 

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

• 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.

Learn About Us:

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."