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.
Develop software tools involving data-intensive computing, analytics and machine learning, enforcing reproducibility (e.g. Doxygen, git).
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.
Keywords: Pattern recognition, computer vision and machine learning, statistical image analysis
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 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."