Contact:  gonzalez[AT]lsu.eduLocation:  Baton Rouge, LA, USA
Job Posting Title:
Manager – Data Processing/Computer Services 1 (Laser Interferometer Gravitational-Wave Observatory (LIGO))
Professional / Unclassified
LSUAM Science – PA – Laser Interferometer Gravitational Wave Observatory (Gabriela Gonzalez (00000092))
0271 J.W. Nicholson Hall
LSU is looking for an expert to work for the LIGO Data Grid used by the LIGO Scientific Collaboration (LSC), and help the discovery of gravitational waves with LIGO detectors. We collaborate closely with colleagues in University of Wisconsin at Milwaukee, Syracuse University, California State University-Fullerton and other institution outside the US. The person will lead the maintain and developing of a suite of python-based tools for LIGO scientists, especially those at the LIGO Livingston Observatory. Scientists working with the LIGO detectors and with the LIGO data use a graphical monitoring of the performance of the many subsystems in the instruments, using standard statistical measures and diagnostic methods developed by the LIGO/Virgo/KAGRA collaboration members. Many of these graphical monitors are “live” with a few minutes latency, other are produced hourly, and others daily.
GWpy is a collaboration-driven Python package providing tools for studying data from ground-based gravitational-wave detectors. GWpy provides a user-friendly, intuitive interface to the common time-domain and frequency-domain data produced by the LIGO and Virgo observatories and their analyses, with easy-to-follow tutorials at each step.
(30%) Maintain and develop the GWpy package and related tools; GWpy is a collaboration-driven Python package providing tools for studying data from ground-based gravitational-wave detectors. GWpy provides a user-friendly, intuitive interface to the common time-domain and frequency-domain data produced by the LIGO and Virgo observatories and their analyses, with easy-to-follow tutorials at each step. (https://gwpy.github.io/).
(20%) Independently perform statistical analysis, programming, and predictive modeling. Maintains and develop online monitors for LIGO instrument diagnostics. Conduct performance tuning and troubleshooting on existing data analytic applications.
(50%) Maintains and develop graphical summary pages of LIGO instruments’ performance. Ensure technical models remain accurate with changes in operations. Creating documentation as required by supervisor in order to move projects along. Collaborate with stakeholders to generate reports, distribute data processing, and deliver robust predictive analytics. Effectively communicate technical issues, decisions reached, and or the status of the project with all stakeholders within the team and or department. Contributes to departmental efforts to develop, implement, or further improve processes and operations. Maintains awareness of current industry practices that pertain to (insert industry here).
Minimum Qualifications: Bachelor’s degree in physics or related field with 3 or more years of professional level computer experience. Proficient in Python programming, packaging and development, as well as familiarity with C, and/or Java (LDVW).
Preferred Qualifications: Master’s degree in physics or related field with experience with visualization, scientific workflow management, database technology is desirable, but not required.
Additional Job Description:
Please attach ALL required documents under the “Resume/CV” section of your application. Please provide letter of application, resume, and three professional references including name, title, phone number and e-mail address.
A copy of your transcript(s) may be attached to your application (if available). However, original transcripts are required prior to hire.
Please email any questions to Gabriela Gonzalez, gonzalez[AT]lsu.edu
November 8, 2022
Closing Date (Open Until Filled if No Date Specified):
Additional Position Information:
Background Check – An offer of employment is contingent on a satisfactory pre-employment background check.
Benefits – LSU offers outstanding benefits to eligible employees and their dependents including health, life, dental, and vision insurance; flexible spending accounts; retirement options; various leave options; paid holidays; wellness benefits; tuition exemption for qualified positions; training and development opportunities; employee discounts; and more!
Essential Position (Y/N):
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