Ampcus job details and career information

Research Scientist Iv Featured

Location
Spring House, Pennsylvania
Wage
Hourly
Job ID
12783574461
Posted
2020-9-16

Job Description
Virginia Tech (VT) in partnership with the U.S. Naval Observatory (USNO) is looking for a post-doc to work at the USNO on a project entitled Data Assimilation for Earth Orientation Parameters Estimation and Prediction . The work will involve the development and implementation of advanced Kalman filtering and/or other data fusion techniques. The USNO s Earth Orientation Department Parameter Combination and Prediction Division uses data gathered from a variety of internal and external sources among them the International GPS Service (IGS) Very Long Baseline Interferometry (VLBI) Satellite Laser Ranging (SLR) and Atmospheric Angular Momentum (AAM). The project seeks to update and improve legacy algorithms by incorporating advanced estimation techniques. Another thrust will be to improve the generation and use of an in-house USNO data product called UTGPS. UTGPS provides a UT1-like estimate based on GPS orbit modeling and orbit right-ascension prediction errors.

The goal of the project is to produce accurate Earth Orientation Parameters that will be published on a regular basis as a service to the international astrodynamics and geodetic communities.

The qualified candidate is required to have:

a. An advanced degree in the physical sciences field geodesy geophysics physics applied mathematics computer science aerospace engineering or related fields is highly recommended. In addition the curriculum and research required in obtaining one or more of these degrees should have required the use of optimal estimation or data assimilation techniques.
b. Experience using a variety of numerical techniques such as Kalman filtering and/or H infinity (or similar) filtering to solve estimation and prediction problems.
c. Ability to use MATLAB or other equivalent packages to employ numerical techniques to combine and predict based on disparate and asymmetric data inputs.
d. Ability to develop and write scripts/software to process and analyze GNSS orbit data in commonly used programming languages (perl python etc.) within the Linux operating environment.
e. Ability to write standard operating procedures and diagnostic manuals for the software/scripts and procedures developed in support of research activity.
f. Ability to obtain CAC card or alternative token (which provides access to DoD/DoN computer networks) after 6 weeks from start task order.
g. Ability to obtain a Secret Clearance within one year of the start of the task if required by the EO Department Head.
h. US citizenship.

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Research Scientist Iv

Location: Spring House PA

Industry: Aviation
Occupational Category: Business Operations
Hours: Full-time, 40 hours per week
Salary: USD 0

Description: Ampcus seeks a Research Scientist Iv.

Job Description
Virginia Tech (VT) in partnership with the U.S. Naval Observatory (USNO) is looking for a post-doc to work at the USNO on a project entitled Data Assimilation for Earth Orientation Parameters Estimation and Prediction . The work will involve the development and implementation of advanced Kalman filtering and/or other data fusion techniques. The USNO s Earth Orientation Department Parameter Combination and Prediction Division uses data gathered from a variety of internal and external sources among them the International GPS Service (IGS) Very Long Baseline Interferometry (VLBI) Satellite Laser Ranging (SLR) and Atmospheric Angular Momentum (AAM). The project seeks to update and improve legacy algorithms by incorporating advanced estimation techniques. Another thrust will be to improve the generation and use of an in-house USNO data product called UTGPS. UTGPS provides a UT1-like estimate based on GPS orbit modeling and orbit right-ascension prediction errors.

The goal of the project is to produce accurate Earth Orientation Parameters that will be published on a regular basis as a service to the international astrodynamics and geodetic communities.

The qualified candidate is required to have:

a. An advanced degree in the physical sciences field geodesy geophysics physics applied mathematics computer science aerospace engineering or related fields is highly recommended. In addition the curriculum and research required in obtaining one or more of these degrees should have required the use of optimal estimation or data assimilation techniques.
b. Experience using a variety of numerical techniques such as Kalman filtering and/or H infinity (or similar) filtering to solve estimation and prediction problems.
c. Ability to use MATLAB or other equivalent packages to employ numerical techniques to combine and predict based on disparate and asymmetric data inputs.
d. Ability to develop and write scripts/software to process and analyze GNSS orbit data in commonly used programming languages (perl python etc.) within the Linux operating environment.
e. Ability to write standard operating procedures and diagnostic manuals for the software/scripts and procedures developed in support of research activity.
f. Ability to obtain CAC card or alternative token (which provides access to DoD/DoN computer networks) after 6 weeks from start task order.
g. Ability to obtain a Secret Clearance within one year of the start of the task if required by the EO Department Head.
h. US citizenship.

Responsibilities:

Educational requirements:

Experience requirements:

Desired Skills:

Qualifications:

Benefits:

Incentives:

Date Posted: 2020-9-16

Please Apply by: 2020-10-2