Job Title: Post Doctoral Researcher in Machine Learning
Posted by: Brookhaven National Laboratory on Sep 10, 2020
Location:
Upton , NYJob Description:
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 a scientific, extreme scale Data Laboratory in the US, New York State, Long Island. We support the data and computational needs of on-site facilities such as the Relativistic Heavy Ion Collider (RHIC), the National Synchrotron Light Source II (NSLS II), the Center for Functional Nano Materials and the Atmospheric Radiation Measurement program. In addition we host the largest data center for the ATLAS experiment at CERN, and provide online and offline data services for the Japanese Belle II experiment. With over 170 PB of archived data BNL hosts one of the top 10 scientific data archives in the world, in 2019 alone we analyzed over 800 PB of scientific data.
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 a 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.
Position Description
CSI is currently looking for a postdoctoral researcher to join our AI and machine learning group. The successful candidate will conduct research to explore how machine learning can be applied in various science applications including bio-medical science, chemistry, etc. We will expect you to be able to work successfully in a multidisciplinary team.
Essential Duties and Responsibilities:
Perform data analysis of bio-medical science and other interdisciplinary science area Identify potential challenges of applying existing machine learning methods Improve existing data analysis methods or develop novel learning algorithms Perform evaluation of learning algorithms Implement existing or developed methods in HPC environment
Position Requirements
Required Knowledge, Skills, and Abilities:
Ph.D in computer science, math, statistics or related discipline is required. Proven ability for disseminating research results by writing manuscripts and giving academic presentations. Candidates must be willing to travel in order to disseminate results and communicate with other scientists. Programming skills are essential along with in depth knowledge of online data analysis. Written and oral communication skills. Ability to work closely and communicate effectively with other domain scientist and infrastructure scientist.
Preferred Knowledge, Skills, and Abilities:
Worked with general ML libraries and toolkits including PyTorch Experience with large scale data analysis Experience working in multidisciplinary scientific collaboration Experience with OpenMP, MPI, OpenACC, OpenCL, etc. Experience with accelerators (GPU, Intel Xeon Phi) and high performance computing systems Track record of producing high quality software on schedule
OTHER INFORMATION:
Moderate domestic and foreign travel The initial appointment will be for two years, with annual renewal contingent upon satisfactory performance and continued funding. This position is mainly working on bio-medical domain.
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
Brookhaven National Laboratory (BNL) is an equal opportunity employer that values inclusion and diversity at our Lab.We are 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.We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.Please contact us to request accommodation.
*VEVRAA Federal Contractor
Organizational Overview
Brookhaven National Laboratory (BNL) is a scientific, extreme scale Data Laboratory in the US, New York State, Long Island. We support the data and computational needs of on-site facilities such as the Relativistic Heavy Ion Collider (RHIC), the National Synchrotron Light Source II (NSLS II), the Center for Functional Nano Materials and the Atmospheric Radiation Measurement program. In addition we host the largest data center for the ATLAS experiment at CERN, and provide online and offline data services for the Japanese Belle II experiment. With over 170 PB of archived data BNL hosts one of the top 10 scientific data archives in the world, in 2019 alone we analyzed over 800 PB of scientific data.
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 a 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.
Position Description
CSI is currently looking for a postdoctoral researcher to join our AI and machine learning group. The successful candidate will conduct research to explore how machine learning can be applied in various science applications including bio-medical science, chemistry, etc. We will expect you to be able to work successfully in a multidisciplinary team.
Essential Duties and Responsibilities:
Perform data analysis of bio-medical science and other interdisciplinary science area Identify potential challenges of applying existing machine learning methods Improve existing data analysis methods or develop novel learning algorithms Perform evaluation of learning algorithms Implement existing or developed methods in HPC environment
Position Requirements
Required Knowledge, Skills, and Abilities:
Ph.D in computer science, math, statistics or related discipline is required. Proven ability for disseminating research results by writing manuscripts and giving academic presentations. Candidates must be willing to travel in order to disseminate results and communicate with other scientists. Programming skills are essential along with in depth knowledge of online data analysis. Written and oral communication skills. Ability to work closely and communicate effectively with other domain scientist and infrastructure scientist.
Preferred Knowledge, Skills, and Abilities:
Worked with general ML libraries and toolkits including PyTorch Experience with large scale data analysis Experience working in multidisciplinary scientific collaboration Experience with OpenMP, MPI, OpenACC, OpenCL, etc. Experience with accelerators (GPU, Intel Xeon Phi) and high performance computing systems Track record of producing high quality software on schedule
OTHER INFORMATION:
Moderate domestic and foreign travel The initial appointment will be for two years, with annual renewal contingent upon satisfactory performance and continued funding. This position is mainly working on bio-medical domain.
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
Brookhaven National Laboratory (BNL) is an equal opportunity employer that values inclusion and diversity at our Lab.We are 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.We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.Please contact us to request accommodation.
*VEVRAA Federal Contractor
Pay Rate:
Unspecified
HR. Website URL:
https://jobs.bnl.gov/search-jobs
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About Brookhaven National Laboratory
Established in 1947 on Long Island, Upton, New York, Brookhaven is a multi-program national laboratory operated by Brookhaven Science Associates for the U.S. Department of Energy (DOE). Six Nobel Prizes have been awarded for discoveries made at the Lab. Brookhaven has a staff of approximately 2,600 scientists, engineers, technicians and support staff and over 4,000 guest researchers annually. Brookhaven National Laboratory's role for the DOE is to produce excellent science and advanced technology with the cooperation, support, and appropriate involvement of our scientific and local communities. The fundamental elements of the Laboratory's role in support of the four DOE strategic missions are the following: • To conceive, design, construct, and operate complex, leading edge, user-oriented facilities in response to the needs of the DOE and the international community of users. • To carry out basic and applied research in long-term, high-risk programs at the frontier of science. • To develop advanced technologies that address national needs and to transfer them to other organizations and to the commercial sector. • To disseminate technical knowledge, to educate new generations of scientists and engineers, to maintain technical capabilities in the nation's workforce, and to encourage scientific awareness in the general public.
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