Organisation Name: Lawrence Livermore National Laboratory (LLNL)
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Join us and make YOUR mark on the World! Come join Lawrence Livermore National Laboratory (LLNL) where we apply science and technology to make the world a safer place; now one of 2019 Best Places to Work by Glassdoor! We have an opening for an experienced Computational Research Scientist in the field of material properties in extreme conditions. You will be supporting simulation, modeling and experimental research into the equations of state of materials by developing, extending and applying advanced atomistic and quantum-based materials modeling approaches on high performance computers. This position is in the EOS & Materials Theory group within the Condensed Matter Section of the Physics Division. Essential Duties - Port existing advanced molecular dynamics and electronic structure codes to high performance computer architectures. - Develop and implement optimization strategies for high performance physics codes on heterogeneous computer architectures. - Perform molecular dynamics and quantum molecular dynamics simulations of materials properties in support of equation of state research and development work. - Collaborate with scientists and researchers on complex problems in equations of state and material properties. - Contribute to the construction of material models based on experiment and simulation data. - Present formal and informal overview of research progress at weekly meetings. - Publish research results in peer-reviewed scientific or technical journals and present results at external conferences seminars and/or technical meetings. - Perform other duties as assigned. Qualifications - PhD in physics, chemistry, materials science or a related field, or the equivalent combination of education and related experience. - Experience developing and applying molecular dynamics and/or quantum molecular dynamics simulations with project deadlines. - Experience constructing and testing material models to represent experimental and/or simulation data. - Experience performing computational physics on Unix-based computer systems. - Knowledge of solid state physics and/or physical chemistry. - Ability to effectively perform independent research. - Advanced verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information and provide advice to management. - Experience authoring technical and scientific reports and publications and delivering scientific presentations Desired Qualifications - Experience with porting and optimizing scientific codes for massively parallel high performance computers. - Advanced knowledge of one of the following: HPC, data analysis, computer security, systems programming, large-scale data management, and big data technologies. - Significant experience developing software applications in Linux, UNIX, or Windows environments with C++, C, or Fortran. Pre-Employment Drug Test: External applicant(s) selected for this position will be required to pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor. Security Clearance: None required. Note: This is a Career Indefinite position. Lab employees and external candidates may be considered for this position. About Us Lawrence Livermore National Laboratory (LLNL), located in the San Francisco Bay Area (East Bay), is a premier applied science laboratory that is part of the National Nuclear Security Administration (NNSA) within the Department of Energy (DOE). LLNL's mission is strengthening national security by developing and applying cutting-edge science, technology, and engineering that respond with vision, quality, integrity, and technical excellence to scientific issues of national importance. The Laboratory has a current annual budget of about $2.3 billion, employing approximately 6,900 employees. LLNL is an affirmative action/ equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, protected veteran status, age, citizenship, or any other characteristic protected by law.
