LANL Applied Machine Learning Summer Research Internship
Country/Region : USA - United States
Website : http://aml.lanl.gov
Description
Apply now for Los Alamos National Laboratory’s Applied Machine Learning Summer Research Internship.
http://aml.lanl.gov
The Applied Machine Learning Summer Research Internship is an intense 10-week program aimed at providing graduate students with a solid foundation in modern machine learning (ML) through applications in geophysics, grid science, cancer genomics, and materials science. This is a paid position that may also include reimbursement for approved travel expenses.
Description
Students will learn hands-on by engaging in scientific research using machine learning. Research will be performed in small collaborations, guided by mentors with scientific and computational expertise.
The program will begin with a one-week crash course on machine learning techniques relevant to the internship projects. Topics include supervised and unsupervised learning, deep learning architectures, state-of-the art ML software packages, and data visualization / interpretation.
Students will work on high performance computing clusters, apply practical ML tools, and gain experience in communicating their work through posters and oral presentations. We aim for high-impact summer projects that will lead to peer-reviewed, co-authored publications.
Students
This multi-disciplinary program is designed for graduate students from all STEM fields who are seeking to incorporate machine learning into their research careers. As a general guideline, students should have a background in one of the following: probability theory, statistical methods, algorithms, or statistical learning. Experience with ML packages such as scikit-learn, Theano, Torch, or TensorFlow is especially encouraged.
Duration & Location
The program will last ten weeks, June 6 through August 11, 2017, and will be held at Los Alamos National Laboratory. Students must be available to live and work in Los Alamos, New Mexico.
Application Process
To apply, please submit:
? Current resume
? Official university transcript (with Spring courses and/or copy of Spring 2017 schedule)
? Graduate 3.2 GPA minimum
? Letter of recommendation from a faculty member
? Letter of intent stating strengths, goals, interests, and how the AML internship will help you achieve your goals
Application materials should be sent to aml17-AT-lanl.gov by January 15, 2017. Apply now!
http://aml.lanl.gov
The Applied Machine Learning Summer Research Internship is an intense 10-week program aimed at providing graduate students with a solid foundation in modern machine learning (ML) through applications in geophysics, grid science, cancer genomics, and materials science. This is a paid position that may also include reimbursement for approved travel expenses.
Description
Students will learn hands-on by engaging in scientific research using machine learning. Research will be performed in small collaborations, guided by mentors with scientific and computational expertise.
The program will begin with a one-week crash course on machine learning techniques relevant to the internship projects. Topics include supervised and unsupervised learning, deep learning architectures, state-of-the art ML software packages, and data visualization / interpretation.
Students will work on high performance computing clusters, apply practical ML tools, and gain experience in communicating their work through posters and oral presentations. We aim for high-impact summer projects that will lead to peer-reviewed, co-authored publications.
Students
This multi-disciplinary program is designed for graduate students from all STEM fields who are seeking to incorporate machine learning into their research careers. As a general guideline, students should have a background in one of the following: probability theory, statistical methods, algorithms, or statistical learning. Experience with ML packages such as scikit-learn, Theano, Torch, or TensorFlow is especially encouraged.
Duration & Location
The program will last ten weeks, June 6 through August 11, 2017, and will be held at Los Alamos National Laboratory. Students must be available to live and work in Los Alamos, New Mexico.
Application Process
To apply, please submit:
? Current resume
? Official university transcript (with Spring courses and/or copy of Spring 2017 schedule)
? Graduate 3.2 GPA minimum
? Letter of recommendation from a faculty member
? Letter of intent stating strengths, goals, interests, and how the AML internship will help you achieve your goals
Application materials should be sent to aml17-AT-lanl.gov by January 15, 2017. Apply now!
Last modified: 2016-12-10 12:29:43