The Center for Advanced Mathematics to Energy Research Applications (CAMERA) has an immediate opening for a postdoctoral scholar to conduct applied research in the area of pattern/feature detection, statistical description, machine learning, image processing and analysis, and parallel computing. The overall objectives for this work are to develop new software tools that enable scientific knowledge discovery using high performance computational platforms and advance the state-of-the-art in data-intensive analysis. This position will be part of an experienced team conducting R&D in the areas of data intensive, high performance, visualization, analysis, and data management. The candidate will be working as part of a multi-disciplinary team composed of computer, computational, mathematics and experimental scientists engaged in areas like material design, granulometry, structural analysis, earth sciences, photovoltaic materials, batteries, chip design, being all these areas approached through computer vision and/or machine learning applied to micrographies.
What you will do:
Design and implement parallel algorithms in computer vision and machine learning applied to experimental 3D (multidimensional) image-based data.
Publish and present research results in journals and conferences.
PhD in Computer Science or a related field of research.
Demonstrable research experience in one or more of the following areas: software engineering, image processing, image analysis, computer vision, feature/pattern detection/analysis as evidenced by original, published work.
Demonstrated ability to design and implement image processing/statistical analysis software, preferably shared and distributed memory parallel software, in one or more of the following programming languages and parallel libraries/languages/environments: C/C++, Java, Scala, R, Python, MPI, pthreads, OpenMP, OpenCL, CUDA.
Excellent oral and written communication skills.
Ability to work productively both independently and as part of a diverse team.
Additional Desired Qualifications:
Knowledge of one or more of the following science areas: micro-tomography, SEM, TEM, STEM, multimodal imaging.
Software engineering tools: make, cmake, revision control systems (CVS, SVN, git), gdb, QT.
Prior work experience designing and implementing image processing/analysis software.
Familiarity with scientific data models/formats and I/O libraries, as well as engines for large-scale data processing, e.g. Apache Spark.
This is a full time one-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 <number> years 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.
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."
Internal Number: 84866
About Lawrence Berkeley National Laboratory
In the world of science, Lawrence Berkeley National Laboratory (Berkeley Lab) is synonymous with excellence. Thirteen scientists associated with Berkeley Lab have won the Nobel Prize. Fifty-seven Lab scientists are members of the National Academy of Sciences (NAS), one of the highest honors for a scientist in the United States. Thirteen of our scientists have won the National Medal of Science, our nation's highest award for lifetime achievement in fields of scientific research. Eighteen of our engineers have been elected to the National Academy of Engineering, and three of our scientists have been elected into the Institute of Medicine. In addition, Berkeley Lab has trained thousands of university science and engineering students who are advancing technological innovations across the nation and around the world. Berkeley Lab is a member of the national laboratory system supported by the U.S. Department of Energy through its Office of Science. It is managed by the University of California (UC) and is charged with conducting unclassified research across a wide range of scientific disciplines. Located on a 200-acre site in the hills above the UC Berkeley campus that offers spectacular... views of the San Francisco Bay, Berkeley Lab employs approximately 4,200 scientists, engineers, support staff and students. Its budget for 2011 is $735 million, with an additional $101 million in funding from the American Recovery and Reinvestment Act, for a total of $836 million. A recent study estimates the Laboratory's overall economic impact through direct, indirect and induced spending on the nine counties that make up the San Francisco Bay Area to be nearly $700 million annually. The Lab was also responsible for creating 5,600 jobs locally and 12,000 nationally. The overall economic impact on the national economy is estimated at $1.6 billion a year. Technologies developed at Berkeley Lab have generated billions of dollars in revenues, and thousands of jobs. Savings as a result of Berkeley Lab developments in lighting and windows, and other energy-efficient technologies, have also been in the billions of dollars. Berkeley Lab was founded in 1931 by Ernest Orlando Lawrence, a UC Berkeley physicist who won the 1939 Nobel Prize in physics for his invention of the cyclotron, a circular particle accelerator that opened the door to high-energy physics. It was Lawrence's belief that scientific research is best done through teams of individuals with different fields of expertise, working together. His teamwork concept is a Berkeley Lab legacy that continues today.