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Postdoctoral Fellow - HPC for Computational Materials Science and Chemistry

Job Description


Lawrence Berkeley National Lab’s (LBNL ) Applied Mathematics and Computational Research Division has an opening for a Postdoctoral Fellow - HPC for Computational Materials Science and Chemistry to join the team.

 

This position is focused on the development of algorithms and efficient implementation of first principle electronic structure methods in materials science and chemistry software targeting leadership class HPC systems. The developments will be focused on ground and excited state approaches including the random-phase approximation (RPA), GW method, and real-time time-dependent density functional theory (RT-TDDFT) with hybrid functionals. In addition, this position will contribute to the development and/or advancement of open-source software tools. Involvement in the publication of the research and contributions at conferences is expected.

 

The position will be part of an integrated team of computational materials scientists, chemists, physicists and HPC application developers that will design and deliver novel approaches, methodologies, algorithms and software to tackle large scale ground and excited state first principles materials simulations and scaling efforts to future leadership class HPC Exascale architectures.

 

What You Will Do:

  • Contribute to the development of massively parallel, GPU accelerated, algorithms for preexa- and exascale platforms in the area of computational physics, chemistry and materials science. 
  • Contribute to the development of new, novel methods and approximations to reduce the computational complexity and scaling with system size of methods based on RPA, GW, RT-TDDFT and hybrid functionals for systems in the condensed phase. 
  • Document work and results in the form of journal papers and conference proceedings.
  • Present work and results at scientific meetings and conferences. 
  • Manage development effort for large scientific applications at the lab.

 

What is Required:

  • PhD degree in Computational Materials Sciences, Computational Chemistry and Physics, or a relevant field.
  • Strong fundamentals in high performance computing with focus on parallelization strategies and accelerators.
  • Strong fundamentals in computational materials sciences / chemistry methods for systems in the condensed phase.
  • Demonstrated experience in applying computational physics methodologies to materials science problems including many-body perturbation theory and hybrid density functional theory algorithms and codes. 
  • Demonstrated ability to participate in and provide intellectual leadership to a cross-disciplinary team.
  • Excellent written and oral communication skills.

 

Desired Qualifications:

  • Knowledge of MPI, OpenMP, OpenACC and other parallel programming models.
  • Experience in programming GPU-accelerated architectures.
  • Experience with HPC application profiling/optimization methodologies.
  • Experience with HPC application debugging techniques and tools.

 

Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/

 

The monthly salary range for this position is $6,431-$8,642 and is expected to start at $7,843 or above. Postdoctoral positions are paid on a step schedule per union contract and salaries will be predetermined based on postdoctoral step rates. Each step represents one full year of completed post-Ph.D. postdoctoral experience.

 

Notes:

  • This is a full-time 2, 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.
  • 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.

 

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.  

 


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