Engineering Research - Computational, Mathematics, Materials: ERDC-Environmental Laboratory

About the role

The Materials and Surface Science Team (MASS) is dedicated to discovering, developing, and delivering solutions to challenges faced by the Army Corps of Engineers. Under the guidance of a mentor, you will have the opportunity to develop your skills on a number of cross-cutting projects bridging the gap between computer science and AI/ML with materials science. You will learn in a multi-disciplinary environment to design and execute experiments, collect and analyze data, and publish in peer-reviewed journals.

Responsibilities

• Develop and execute experiments using computer science and AI/ML techniques.
• Collaborate with multidisciplinary teams to solve complex problems.
• Collect and analyze data to support research objectives.
• Publish findings in peer-reviewed journals.

Requirements

Currently pursuing or received an associate's, bachelor's, or master's degree in chemistry, materials science, materials engineering, computer science, mathematics, physics, data science or a closely related field. The ideal candidate will be strongly motivated to contribute and have strong background in computer programming and exposure to one or more of the following skill sets are desirable: Python, R, materials optimization, design of experiments, materials structure-property relationships, statistics and probability, applied mathematics, data science, or machine learning.

Qualifications

• Currently pursuing or received an associate's, bachelor's, or master's degree in chemistry, materials science, materials engineering, computer science, mathematics, physics, data science or a closely related field.
• Strong background in computer programming.
• Desirable skill sets: Python, R, materials optimization, design of experiments, materials structure-property relationships, statistics and probability, applied mathematics, data science, or machine learning.

Skills

The ideal candidate will have a strong background in computer programming and exposure to one or more of the following skill sets: Python, R, materials optimization, design of experiments, materials structure-property relationships, statistics and probability, applied mathematics, data science, or machine learning.

Benefits

This fellowship provides the opportunity to independently utilize your skills and engage with experts in innovative ideas to move the proposed research forward.

Pay

The stipend is typically based on a participant’s academic standing, discipline, experience, and research facility location.

Schedule

The appointment is a full-time twelve-month research appointment. Appointment may be extended depending on funding availability, project assignment, program rules, and availability of the participant.

Contact

For more information, visit the ORISE Research Participation Program at the U.S. Department of Defense.

Point of Contact

Debbie