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![ORNL Image](/sites/default/files/styles/list_page_thumbnail/public/JRO_2711.jpg?itok=nWaLgAlF)
ORNL is proud of its role in fostering the next generation of scientists and engineers. We bring in talented young researchers, team them with accomplished scientists and engineers, and put them to work at the lab’s one-of-a-kind facilities.
![Arjun Shankar Arjun Shankar](/sites/default/files/styles/list_page_thumbnail/public/shankar.png?itok=qqOR_eUI)
The field of “Big Data” has exploded in the blink of an eye, growing exponentially into almost every branch of science in just a few decades.
![Computational climate scientist Salil Mahajan simulates the complex and chaotic aspects of climate at Oak Ridge National Laboratory. Computational climate scientist Salil Mahajan simulates the complex and chaotic aspects of climate at Oak Ridge National Laboratory.](/sites/default/files/styles/list_page_thumbnail/public/news/images/Mahajan13-P00022.jpg?itok=1VYC2OZF)
Simulating the global climate in high resolution at multiple scales will help answer questions about future global and regional climates. However, as performance expectations increase for Earth system models, so do computing challenges.
![ORNL Image](/sites/default/files/styles/list_page_thumbnail/public/Titan.jpg?itok=SstvC0sg)
For some researchers, cracking the big questions can be like mining for a lone diamond under tons of solid rock.
![Scientists will use ORNL’s computing resources such as the Titan supercomputer to develop deep learning solutions for data analysis. Credit: Jason Richards/Oak Ridge National Laboratory, U.S. Dept. of Energy. Scientists will use ORNL’s computing resources such as the Titan supercomputer to develop deep learning solutions for data analysis. Credit: Jason Richards/Oak Ridge National Laboratory, U.S. Dept. of Energy.](/sites/default/files/styles/list_page_thumbnail/public/news/images/2012-P03136%281%29.jpg?itok=i0w1NZWs)
A team of researchers from Oak Ridge National Laboratory has been awarded nearly $2 million over three years from the Department of Energy to explore the potential of machine learning in revolutionizing scientific data analysis.
![ORNL Image](/sites/default/files/styles/list_page_thumbnail/public/SE_elec_consumption_withPplants.jpg?h=50ec1d8e&itok=SqxQDFw8)
New mapping methods developed by researchers at the Department of Energy’s Oak Ridge National Laboratory can help urban planners minimize the environmental impacts of cities’ water and energy demands on surrounding stream ecologies.