Temporary Technical VTS Staff

Posted Oct 22

This is a fully remote position, open to applicants in Tennessee.

📋 Description

• Process, analyze, and interpret gravitational-wave and associated astrophysical data under the guidance of faculty and postdoctoral researchers.

• Develop, execute, and sustain computational data-analysis workflows.

• Conduct quantitative and statistical analyses, ensuring the accuracy and consistency of results.

• Create figures, tables, and summaries to effectively communicate findings.

• Review scientific literature and utilize established methods for research tasks.

• Maintain organized code, data products, analysis records, and documentation to ensure reproducibility.

• Engage in research meetings and provide updates on assigned activities.

• Troubleshoot and document computational pipelines and software tools.

• Assist with various research-related tasks that support the laboratory’s scientific objectives.


⛳️ Requirements

• Bachelor’s degree in physics, astronomy, astrophysics, mathematics, computer science, engineering, data science, or a related quantitative discipline.

• Experience in scientific computing and statistical data analysis, preferably with Python.

• Familiarity with large scientific datasets and best practices for reproducible workflows.

• Knowledge of gravitational-wave data analysis techniques or computational astrophysics is advantageous.

• Capability to work independently as well as collaboratively with faculty, postdocs, and team members.

• Strong analytical, problem-solving, and organizational abilities.

• Excellent skills in both written and verbal communication.

• Proficiency in version control systems like Git and adherence to software development best practices.

• Keen attention to detail with the ability to assess data for accuracy.

• Ability to manage time effectively and meet project deadlines.


🏝️ Benefits

• Gain hands-on experience with data-intensive astrophysics research.

• Opportunity to work in a collaborative, interdisciplinary environment.

• Receive mentorship from faculty and a postdoctoral researcher.

• Access to professional learning and growth opportunities.

• Enjoy a remote work arrangement.

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