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Postdoctoral Fellow - Data Science and Technology Department

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POST DATE 9/2/2016
END DATE 10/29/2016

Lawrence Berkeley National Laboratory Berkeley, CA

Company
Lawrence Berkeley National Laboratory
Job Classification
Full Time
Company Ref #
81938
AJE Ref #
576076562
Location
Berkeley, CA
Experience
Entry Level (0 - 2 years)
Job Type
Regular
Education
Doctoral Degree

JOB DESCRIPTION

APPLY
THE DATA SCIENCE AND TECHNOLOGY (DST) DEPARTMENT (DST.LBL.GOV) IN THE COMPUTATIONAL RESEARCH DIVISION (CRD.LBL.GOV) IS LOOKING FOR TALENTED AND MOTIVATED POST-DOCTORAL RESEARCHERS TO BE PART OF OUR TEAM FOCUSED ON CONCEIVING, DEVELOPING, AND APPLYING LEADING-EDGE, INNOVATIVE METHODS FOR SOLVING DATA-INTENSIVE SCIENCE PROBLEMS. THE DST DEPARTMENT PROJECTS SPAN A DIVERSE SET OF ACTIVITIES, RANGING FROM DATA MANAGEMENT, DATA MOVEMENT, STATISTICAL, TOPOLOGICAL, AND GEOMETRIC ANALYSIS/ANALYTICS, COMPUTER VISION, VISUALIZATION, USER-INTERFACE DESIGN, USABILITY, END-TO-END DATA-INTENSIVE SYSTEM ARCHITECTURE AND DEPLOYMENT. OUR PROGRAM ACTIVITIES RANGE FROM BASIC AND APPLIED RESEARCH, TO DEPLOYMENT OF SOFTWARE TOOLS AND SYSTEMS. THIS POSITION IS A UNIQUE OPPORTUNITY TO ENGAGE IN LEADING-EDGE RESEARCH AND DEVELOPMENT ACTIVITIES AS PART OF A MULTIDISCIPLINARY TEAM THAT HAS DIRECT ENGAGEMENTS WITH ACTIVE SCIENCE PROJECTS.

OUR COLLABORATORS ARE FROM ACROSS THE SCIENCE DISCIPLINES, RANGING FROM THEORETICAL ASTROPHYSICISTS TO COMPUTATIONAL AND EXPERIMENTAL BIOSCIENTISTS. THE CAPABILITIES WE BUILD ARE DRIVEN BY THE NEEDS OF CONTEMPORARY COMPUTATIONAL, OBSERVATIONAL, AND EXPERIMENTAL SCIENCE PROJECTS CENTRAL TO THE MISSION OF THE DOE OFFICE OF SCIENCE. OUR PORTFOLIO INCLUDES PROJECTS IN BASIC AND APPLIED RESEARCH, ADVANCED SOFTWARE DEVELOPMENT, AND DEPLOYMENT TO THE SCIENTIFIC COMMUNITY. THE SCIENCE CHALLENGES WE ARE HELPING TO UNDERSTAND INCLUDE: UNDERSTANDING CARBON INTERACTIONS BETWEEN THE ATMOSPHERE AND THE BIOME, INTERPRETING RESULTS FROM TRILLION-PARTICLE SPACE WEATHER SIMULATIONS, DETECTING EXTREME WEATHER EVENTS IN CLIMATE MODELS, LOCATING HALO PARTICLES IN ACCELERATOR MODELS, UNDERSTANDING ORGANISM FUNCTION, AND DETECTING BLOBS IN FUSION EXPERIMENTS WHILE THE DATA IS IN TRANSIT.

THE SUCCESSFUL CANDIDATE WILL JOIN ONE OF THE FOUR DST GROUPS. THESE GROUPS AND THEIR MISSION/FOCUS ARE LISTED BELOW:

THE DATA ANALYTICS AND VISUALIZATION (DAV) GROUP IS FOCUSED ON ENABLING SCIENTIFIC RESEARCHERS IN ACHIEVING THEIR KNOWLEDGE DISCOVERY GOALS THROUGH VISUALIZATION AND ANALYSIS. THEY DEVELOP NEW CAPABILITIES IN HIGH PERFORMANCE AND DATA-INTENSIVE VISUALIZATION, ANALYSIS, AND RELATED (DATA-INTENSIVE) TECHNOLOGIES. ALL OUR SCIENTIFIC COLLABORATORS HAVE A THEME IN COMMON: THE NEED TO UNDERSTAND COMPLEX SYSTEMS THROUGH VISUAL INSPECTION OF RESULTS FROM SIMULATION AND EXPERIMENT/OBSERVATION.

THE INTEGRATED DATA FRAMEWORKS (IDF) GROUP PERFORMS RESEARCH AND DEVELOPMENT FOCUSED ON INTEGRATED HIGH-THROUGHPUT SIMULATION ENVIRONMENTS IN THREE PRIMARY AREAS: (1) DATA PROCESSING AND ANALYTICS ALGORITHMS AND PIPELINES FOR MODERATE-SCALE OBSERVATION AND SIMULATION ENVIRONMENTS, (2) OPTIMIZATION OF DATA MOVEMENT AND MANAGEMENT, WHICH UTILIZES NEXT GENERATION NETWORKING AND DATA MANAGEMENT SOLUTIONS, AND (3) OPTIMIZING AND MODELING OF SCIENTIFIC WORKFLOWS.

THE SCIENTIFIC DATA MANAGEMENT (SDM) GROUP DEVELOPS TECHNOLOGIES AND TOOLS FOR EFFICIENT DATA ACCESS AND STORAGE MANAGEMENT OF MASSIVE SCIENTIFIC DATA SETS. THE SDM GROUP IS CURRENTLY DEVELOPING DATA QUERYING TECHNOLOGIES, IN SITU FEATURE EXTRACTION ALGORITHMS, ALONG WITH SOFTWARE PLATFORMS FOR EXASCALE DATA. THE GROUP WORKS CLOSELY WITH APPLICATION SCIENTISTS TO ADDRESS THEIR DATA PROCESSING CHALLENGES ALL THESE ACTIVITIES ARE BACKED BY ACTIVE RESEARCH EFFORTS IN DEVELOPING NOVEL ALGORITHMS ON EMERGING HARDWARE PLATFORMS.

THE USABLE SOFTWARE SYSTEMS (USS) GROUP IS FOCUSED ON USABILITY ASPECTS OF COMPUTATIONAL AND DATA ANALYSIS SYSTEMS. UCS RESEARCHERS ARE INVOLVED IN THREE PRIMARY RESEARCH AND DEVELOPMENT MISSION AREAS A) USER-CENTERED DESIGN PROCESSES THAT WORK IN SCIENTIFIC ENVIRONMENTS B) USABLE SCIENTIFIC WORKFLOW TOOLS AND DATA ABSTRACTIONS AND C) INTUITIVE INTERFACES TO EXPLORE, ANALYZE, PROCESS DATA AND RUN COMPUTATIONS ON HPC AND DISTRIBUTED SYSTEMS.

THE SUCCESSFUL CANDIDATE WILL HAVE EXCELLENT ORAL AND WRITTEN COMMUNICATION SKILLS, HAVE A STRONG TECHNICAL BACKGROUND IN ONE OR MORE AREAS OF DATA SCIENCE, BE ABLE TO WORK EFFECTIVELY BOTH IN AN INDEPENDENT FASHION AS WELL AS PART OF A TEAM, AND HAVE SOFTWARE DEVELOPMENT SKILLS IN SOME OF THE TECHNOLOGY AREAS LISTED BELOW.

SPECIFIC RESPONSIBILITIES:

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RESEARCH, DEVELOPMENT, AND CODING OF NEW AND EXISTING ALGORITHMS, TOOLS AND TECHNOLOGIES TO MEET DATA-INTENSIVE, DATA-DRIVEN SCIENCE CHALLENGES.
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EVALUATION OF EXISTING AND NEW TECHNIQUES AND RESULTS
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WORK IN A MULTIDISCIPLINARY TEAM ENVIRONMENT, INCLUDING BACKGROUNDS IN BIOLOGY, ECOLOGY, EARTH SCIENCES, STATISTICS, PHYSICS, NUCLEAR SCIENCE, COSMOLOGY, ENERGY TECHNOLOGIES, AND COMPUTER SCIENCE
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AUTHOR PEER-REVIEWED JOURNAL ARTICLES AND CONTRIBUTE TO GRANT PROPOSALS

ESSENTIAL QUALIFICATIONS:

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PH.D. IN COMPUTER SCIENCE OR RELATED FIELD
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GRADUATE STUDENT OR POSTDOCTORAL RESEARCH EXPERIENCE IN ONE OR MORE AREAS: HUMAN COMPUTER INTERACTION, DATA MANAGEMENT, DATA MODELS/FORMATS, DATA MOVEMENT, PROVENANCE, WORKFLOW TOOLS, COMPUTATIONAL STATISTICS/GEOMETRY/TOPOLOGY, COMPUTER VISION AND IMAGE ANALYSIS, SCIENTIFIC AND/OR INFORMATION VISUALIZATION, SOFTWARE DESIGN FOR DISTRIBUTED AND/OR PARALLEL HPC SYSTEMS, SOFTWARE PERFORMANCE ANALYSIS AND OPTIMIZATION.
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EXPERIENCE WORKING IN A COLLABORATIVE ENVIRONMENT
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ESTABLISHED RECORD OF PEER REVIEWED PUBLICATIONS
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PROVEN EXPERIENCE WRITING AND/OR ADAPTING SOFTWARE
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EXCELLENT WRITTEN AND ORAL COMMUNICATION SKILLS
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KEEN INTEREST IN SOLVING SCIENCE CHALLENGES

ADDITIONAL DESIRED QUALIFICATIONS:

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EXPERIENCE WITH SCIENTIFIC PROGRAMMING LANGUAGES (E.G., PYTHON, R, C/C , FORTRAN) AND PARALLEL LANGUAGES AND EXECUTION ENVIRONMENTS (E.G., MPI, OPENMP, OPENCL, CUDA).
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EXPERIENCE WITH FRONT-END PROGRAMMING LANGUAGES (ESP. JAVASCRIPT), FRAMEWORKS (E.G., BACKBONE, ANGULAR), AND VISUALIZATION TOOLS (E.G. D3, HIGHCHARTS, SVG).
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EXPERIENCE WITH SCIENTIFIC DATA SETS, FORMATS OR TYPES.
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EXPERIENCE AS PART OF A MULTIDISCIPLINARY, COLLABORATIVE TEAM THAT INCLUDES COMPUTER/COMPUTATIONAL SCIENTISTS AND DOMAIN SCIENTISTS.

NOTES: WE ENCOURAGE ALL APPLICANTS TO PROVIDE A COVER LETTER AND A STATEMENT OF RESEARCH INTERESTS WHEN APPLYING.

THIS IS A 1-YEAR TERM APPOINTMENT WITH THE POSSIBILITY OF RENEWAL FOR UP TO 5 YEARS BASED UPON SATISFACTORY JOB PERFORMANCE, CONTINUING AVAILABILITY OF FUNDS, AND ONGOING OPERATIONAL NEEDS. SALARY FOR POSTDOCTORAL POSITIONS DEPENDS ON YEARS OF EXPERIENCE POST-DEGREE.

THIS POSITION REQUIRES COMPLETION OF A BACKGROUND CHECK.

BERKELEY LAB UNDERSTANDS THE POSTDOCTORAL EXPERIENCE IN A RESEARCH ENVIRONMENT IS UNIQUE. WE ARE COMMITTED TO THE GROWTH AND DEVELOPMENT OF EARLY CAREER RESEARCHERS IN PURSUIT OF BECOMING NEXT GENERATION SCIENTISTS AND ENGINEERS. READ ABOUT THE EXCELLENT POSTDOCTORAL BENEFITS AT BERKELEY LAB.

BERKELEY LAB ADDRESSES THE WORLDS 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 LABS SCIENTIFIC EXPERTISE HAS BEEN RECOGNIZED WITH 13 NOBEL PRIZES. THE UNIVERSITY OF CALIFORNIA MANAGES BERKELEY LAB FOR THE U.S. DEPARTMENT OF ENERGYS 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.