Postdoc Research Associate - Data Scientist

Savannah River National Laboratory • Aiken, SC

2d

About The Position

Savannah River National Laboratory’s Environmental and Legacy Management (ELM) directorate is seeking a highly motivated and self-starting Data Scientist researcher with a focus on AI and machine learning to join their Environmental Sciences and Dosimetry team. This role involves developing cutting edge models for monitoring complex and dynamic physical systems. The successful candidate should have strong software development experience in Python and broad knowledge of AI and machine learning techniques and an ability to apply them to broad problem sets in areas such as bioengineering, environmental monitoring, and national security related domains. The Postdoctoral Research Associate positions are fixed term assignments within the company and benefits eligible.

Requirements

• PhD + 0-3 yrs in computer or physical sciences
• Ability to obtain and maintain a security clearance, US Citizenship is Legally Required
• Strong experience in Python programming, including experience with AI and machine learning libraries (e.g. Pytorch, TensorFlow, scikit-learn)
• Demonstrated ability to apply AI/ML concepts to physical systems
• Excellent communication and teamwork skills
• Ability to write and document technical work
• Self-motivated and able to work independently
• Familiarity with data engineering and curation principles and practices
• Experience with data visualization tools
• Individuals must have completed all requirements for their PhD by the start of employment
• Must have the ability to obtain and maintain an appropriate level U.S. Government security clearance for which U.S. Citizenship is legally required.

Nice To Haves

• Experience in software development, preferably in a research environment
• Experience with machine learning primitives and ability to choose the right approach for a given problem (e.g. decision trees, random forests, deep learning)
• Experience with natural language processing (NLP) techniques and libraries (e.g. NLTK, spaCy), as well as knowledge management principles
• Experience with proposal writing and research funding opportunities

Responsibilities

• Develop and maintain AI and machine learning software pipelines for monitoring complex and dynamic physical systems
• Collaborate with team members to develop and maintain research tools and software applications
• Write and maintain technical documentation for research tools and software applications
• Participate in code reviews and contribute to the improvement of the overall codebase
• Collaborate in writing proposals for external sponsors, Laboratory Directed Research and Development (LDRD) projects, and other funding opportunities
• Stay up to date with the latest developments in AI and machine learning models

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 251-500 employees