Job ID:
Job date: 2018-03-28
End Date:
Company : Brookhaven National Laboratory Country : Role : Postdoc
Job date: 2018-03-28
End Date:
Company : Brookhaven National Laboratory Country : Role : Postdoc
Job Description:
A postdoctoral position is available immediately in Computational Science Initiative (CSI) at Brookhaven National Laboratory for the Analysis on the Wire (AoW) project. The successful candidate will conduct research in developing methods, software, and hardware to enable computations on streaming data in the network fabric. Central to the project are the development of a prototype framework and the demonstration of its functionality with use cases in the areas of machine learning, smart grid, cybersecurity, etc. The successful candidate will be expected to work closely together with domain scientists and infrastructure developers to port and enable applications to operate successfully on streaming data “on the wire.” Essential Duties and Responsibilities:
Additional Info:
Brookhaven National Laboratory is a multipurpose research institution funded primarily by the U.S. Department of Energy’s Office of Science. Located on the center of Long Island, New York, Brookhaven Lab brings world-class facilities and expertise to the most exciting and important questions in basic and applied science—from the birth of our universe to the sustainable energy technology of tomorrow. We operate cutting-edge large-scale facilities for studies in physics, chemistry, biology, medicine, applied science, and a wide range of advanced technologies. The Laboratory's almost 3,000 scientists, engineers, and support staff are joined each year by more than 4,000 visiting researchers from around the world. Our award-winning history, including seven Nobel Prizes, stretches back to 1947, and we continue to unravel mysteries from the nanoscale to the cosmic scale, and everything in between. Brookhaven is operated and managed by Brookhaven Science Associates, which was founded by the Research Foundation for the State University of New York on behalf of Stony Brook University, and Battelle, a nonprofit applied science and technology organization. Organizational Overview Brookhaven National Laboratory (BNL) is the scientific extreme scale Data Laboratory in the US. With over 125 PB of archived data, we host the largest scientific data archive in the US and the 3rd largest worldwide. In contrast to many others, this is an active archive were we continuously reuse all the data in the archive. In 2017 we analyzed 500PB of data on site. This data comes largely from the many scientific user facilities that we support at BNL such as: the unique nuclear physics experiment RHIC, the brightest synchrotron in the world NSLS II, the largest Tier 1 center for the LHC Atlas experiment, the Japanese particle physics experiment Belle II, the Center for Functional Nano Materials and the Atmospheric Radiation Measurement program. As a result we have a lively, fast growing data science research program at BNL, with a specific focus on the challenges presented by the analysis, interpretation and use of data at extreme scales and in real time. The data science program is accompanied by significant computational modeling research effort, in support of the design, planning, analysis and interpretation of experiments and their results. The Computational Science Initiative (CSI - https://www.bnl.gov/compsci/ ) provides the laboratory wide umbrella for these activities, bringing together computer scientists, applied mathematicians and domain scientists to carry out leading edge research, convert research results into practical solutions that advance domain science and provide the necessary computing infrastructure services and training to support efficient operation. The initial appointment will be for one year, with annual renewal contingent upon satisfactory performance and continued funding. BNL policy requires that research associate appointments be made to individuals who have received their doctorate within the past five years. At Brookhaven National Laboratory we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Our benefits program includes, but is not limited to: -Medical Plans -Dental Plans -Vacation -Holidays -Life Insurance -401(k) Plan -Paid Parental Leave -Swimming Pool, Weight Room, Tennis Courts, and many other employee perks and benefits We invite you to consider Brookhaven National Laboratory for employment. To be considered for this position, please apply online at BNL Careers and enter the job title into the Keyword Search. Brookhaven National Laboratory (BNL) is an equal opportunity employer committed to ensuring that all qualified applicants receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a veteran, disability or any other federal, state or local protected class. BNL takes affirmative action in support of its policy and to advance in employment individuals who are minorities, women, protected veterans, and individuals with disabilities. VEVRAA Federal Contractor [Click Here to Access the Original Job Post]
A postdoctoral position is available immediately in Computational Science Initiative (CSI) at Brookhaven National Laboratory for the Analysis on the Wire (AoW) project. The successful candidate will conduct research in developing methods, software, and hardware to enable computations on streaming data in the network fabric. Central to the project are the development of a prototype framework and the demonstration of its functionality with use cases in the areas of machine learning, smart grid, cybersecurity, etc. The successful candidate will be expected to work closely together with domain scientists and infrastructure developers to port and enable applications to operate successfully on streaming data “on the wire.” Essential Duties and Responsibilities:
- Study, deploy, and evaluate existing hardware and software related to the AoW project, such as Software Defined Networking (SDN) controllers, White Boxes, Optical Circuit Switches, FPGAs, GPU accelerators, etc.
- Identify potential challenges in using existing hardware and software, as well as existing algorithms/applications to perform computations on streaming data in an “on the wire” environment.
- Develop, deploy, test, and debug the necessary software for the AoW framework.
- Assist in the research, development, and evaluation of baseline and streaming algorithms intended to run on the AoW framework, such as analysis models, pattern recognition, supervised/unsupervised learning, etc.
- Assist in the processing and analysis of various smart grid, instrument, sensor, climate, and environmental data.
- Disseminate the results of the project through the authoring and submission of publications to highly reputable conferences and journals, participation in workshops, giving presentations, etc.
- Assist in the development and submission of research proposals related to the AoW work to relevant funding agencies.
Position Requirements
Required Knowledge, Skills, and Abilities:- Ph.D. degree in computer science or computer engineering, or related discipline.
- Programming skills in C/C++, Java, and/or Python are essential.
- Familiarity with the Linux operating system and systems programming.
- Written and oral communication skills.
- Proven ability to disseminate research results by authoring scientific papers and giving academic presentations.
- Candidate must be willing to travel in order to disseminate results and communicate with other scientists.
- Must be able to work closely and communicate effectively with other domain scientists and infrastructure scientists.
- Understanding of networking and SDN principles.
- Experience with accelerators (FPGAs, GPUs, Intel Xeon Phi) and high performance computing systems.
- Experience with large-scale data analysis.
- Understanding of machine learning.
- Experience with website development.
- Experience with the Microsoft Office suite and LaTex.
- Experience with working in multidisciplinary scientific collaborations.
- Track record of producing high quality software on schedule.
Requeriments :
Skills :
- HPC
- Lunix/Unix
- Machine Learning
- Programing in C
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in Java
Areas :
Additional Info:
Brookhaven National Laboratory is a multipurpose research institution funded primarily by the U.S. Department of Energy’s Office of Science. Located on the center of Long Island, New York, Brookhaven Lab brings world-class facilities and expertise to the most exciting and important questions in basic and applied science—from the birth of our universe to the sustainable energy technology of tomorrow. We operate cutting-edge large-scale facilities for studies in physics, chemistry, biology, medicine, applied science, and a wide range of advanced technologies. The Laboratory's almost 3,000 scientists, engineers, and support staff are joined each year by more than 4,000 visiting researchers from around the world. Our award-winning history, including seven Nobel Prizes, stretches back to 1947, and we continue to unravel mysteries from the nanoscale to the cosmic scale, and everything in between. Brookhaven is operated and managed by Brookhaven Science Associates, which was founded by the Research Foundation for the State University of New York on behalf of Stony Brook University, and Battelle, a nonprofit applied science and technology organization. Organizational Overview Brookhaven National Laboratory (BNL) is the scientific extreme scale Data Laboratory in the US. With over 125 PB of archived data, we host the largest scientific data archive in the US and the 3rd largest worldwide. In contrast to many others, this is an active archive were we continuously reuse all the data in the archive. In 2017 we analyzed 500PB of data on site. This data comes largely from the many scientific user facilities that we support at BNL such as: the unique nuclear physics experiment RHIC, the brightest synchrotron in the world NSLS II, the largest Tier 1 center for the LHC Atlas experiment, the Japanese particle physics experiment Belle II, the Center for Functional Nano Materials and the Atmospheric Radiation Measurement program. As a result we have a lively, fast growing data science research program at BNL, with a specific focus on the challenges presented by the analysis, interpretation and use of data at extreme scales and in real time. The data science program is accompanied by significant computational modeling research effort, in support of the design, planning, analysis and interpretation of experiments and their results. The Computational Science Initiative (CSI - https://www.bnl.gov/compsci/ ) provides the laboratory wide umbrella for these activities, bringing together computer scientists, applied mathematicians and domain scientists to carry out leading edge research, convert research results into practical solutions that advance domain science and provide the necessary computing infrastructure services and training to support efficient operation. The initial appointment will be for one year, with annual renewal contingent upon satisfactory performance and continued funding. BNL policy requires that research associate appointments be made to individuals who have received their doctorate within the past five years. At Brookhaven National Laboratory we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Our benefits program includes, but is not limited to: -Medical Plans -Dental Plans -Vacation -Holidays -Life Insurance -401(k) Plan -Paid Parental Leave -Swimming Pool, Weight Room, Tennis Courts, and many other employee perks and benefits We invite you to consider Brookhaven National Laboratory for employment. To be considered for this position, please apply online at BNL Careers and enter the job title into the Keyword Search. Brookhaven National Laboratory (BNL) is an equal opportunity employer committed to ensuring that all qualified applicants receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a veteran, disability or any other federal, state or local protected class. BNL takes affirmative action in support of its policy and to advance in employment individuals who are minorities, women, protected veterans, and individuals with disabilities. VEVRAA Federal Contractor [Click Here to Access the Original Job Post]