HPC Data Management Systems Postdoctoral Scholar

Company: Lawrence Berkeley National Laboratory
Location: Berkeley
Posted on: August 5, 2022

Job Description:

Berkeley Lab's Scientific Data Management (SDM) Research Group has an opening for a Postdoctoral Researcher to develop and optimize parallel I/O libraries and next-generation object-based storage technologies for upcoming exascale era and beyond.



The SDM Research Group performs research in scientific data management and analysis for exascale computing and multi-petabyte experimental and simulation datasets. The overarching goal of the group is to enable scientific discoveries through the design, analysis, and development of extreme-scale data management technologies that allow scientists to access their data more efficiently. Members of SDM group work closely with application scientists throughout the Department of Energy (DOE) Office of Science community (e.g., astronomy, astrophysics, climate change research, fusion research, high energy physics, nuclear science, and life sciences), with faculty and students from universities throughout the world, and with staff in the NERSC production computing facility. Group members have access to leading-edge computing platforms. SDM group members have a strong history of publications in top journals and conferences and have developed software systems that are broadly used outside the group. Specific areas of research being done by SDM group include: FastBit indexing technology, Storage Resource Management (SRM), Proactive Data Containers (PDC) object storage technologies, scientific data formats such as HDF5 and ADIOS, data access libraries, climate data management, high throughput network data transfers, data analysis and mining.







What You Will Do:

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• Contribute to a research team focused on developing storage systems and parallel I/O technologies that affect performance of storing and accessing by scientific applications.
  
  
• Conduct research involving parallel I/O systems and performance optimization of HPC applications' I/O.
  
  
• Develop object storage technologies for HPC.
  
  
• Analyze and optimize I/O performance on supercomputing systems.
  
  
• Develop I/O benchmarks representing applications at supercomputing facilities.
  
  
• Document work and results in the form of journal papers and conference proceeding papers, and present work and results at scientific meetings.
  
  
• Collaborate with other computer scientists, applied mathematicians, and computational scientists to ensure the resultant technologies are applicable for their respective computational challenges and coding styles.
  
  
  
  
  
  
  
  
  
  What is Required:
  
  
  
  
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  • PhD degree in applied mathematics, computer science, physics, or a related field.
    
    
  • Demonstrated expertise in the implementation and optimizations I/O and storage systems.
    
    
  • Demonstrated experience in working with high-performance computing applications using C/C++, MPI, and I/O libraries, such as HDF5 and MPI-IO.
    
    
  • Demonstrated experience in using distributed-memory computing platforms and/or AI systems.
    
    
  • Knowledge of C/C++, MPI, HDF5, netCDF, and MPI-IO.
    
    
    
    
    
    
    
    
    
    Desired Qualification:
    
    
    
    
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    • Experience in performance modeling and applying AI analysis to understand performance analysis.
      
      
    • Knowledge of ML and AI software libraries.
      
      
      
      
      
      
      
      
      
      Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/
      
      
      
      
      
      
      
      Notes:
      
      
      
      
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      • 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-PhD.
        
        
      • 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.
        
        
      • This position will be remote initially, but limited to individuals residing in the United States tentatively due to COVID-19. Once the Bay Area shelter-in-place restrictions are lifted, work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
        
        
        
        
        
        
        
        
        
        Equal Employment Opportunity:
        
        
        
        
        
        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:
        
        
        Know your rights, click here for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4.
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        

Keywords: Lawrence Berkeley National Laboratory, Berkeley , HPC Data Management Systems Postdoctoral Scholar, Executive , Berkeley, California