U.S. Department of Energy
Just Landed
New Today
Engineering Research - Computational, Mathematics, Materials: ERDC-Environmental Laboratory U.S. Department of Defense (DOD) in United States
Degree Level
Master's
Field of study
Computer Science
Funding
Stipend provided by ERDC-EL, typically based on academic standing, discipline, experience, and research facility location; health insurance supplement, relocation allowance, and training/travel allowance may also be provided.
Country
United States
University
U.S. Department of Energy
Apply for this position
Keywords
Suggested positions
About this position
The U.S. Army Engineer Research and Development Center’s Environmental Laboratory (EL) is a multidisciplinary research environment focused on environmental science and engineering solutions for the U.S. Army, the Department of Defense, and the nation.
This research opportunity sits within the Materials and Surface Science Team (MASS), where the selected participant will work on cross-cutting projects that connect computer science and AI/ML with materials science. Under mentor guidance, the participant will help design and execute experiments, collect and analyze data, and contribute to peer-reviewed publications.
The laboratory’s broader research portfolio includes ecosystem science and technology, environmental resiliency, environmental sensing, ecological modeling and forecasting, risk and decision science, environmentally sustainable materials, systems biology, climate change, computational chemistry, environmental chemistry, and environmental security. The appointment offers a chance to engage with experts and contribute to innovative research problems in a government R&D setting.
The position is based in Vicksburg, Mississippi, at the Environmental Laboratory of USACE-ERDC.
Funding details
Stipend provided by ERDC-EL, typically based on academic standing, discipline, experience, and research facility location; health insurance supplement, relocation allowance, and training/travel allowance may also be provided.
What's required
Currently pursuing or have received an associate's, bachelor's, or master's degree within the last 60 months in chemistry, materials science, materials engineering, computer science, mathematics, physics, data science, or a closely related field. The ideal candidate should be strongly motivated, have a strong background in computer programming, and have exposure to Python, R, materials optimization, design of experiments, materials structure-property relationships, statistics and probability, applied mathematics, data science, or machine learning. U.S. citizenship is required, and applicants must be at least 18 years old. All application documents must be in English or include an official English translation.
How to apply
Click the Apply now button on the Zintellect opportunity page to start the application. Submit the required profile, history, essay answers, resume, transcripts, and one recommendation through Zintellect. Direct questions to [email protected], citing the reference code in the subject line.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.