Internship

Intern - Cognitive & Emerging Computing - R&D Graduate Year Round

Sandia National Laboratories

•

15d ago

🚀 Off-cycle Internship

Albuquerque

You must have a bachelor’s degree, be enrolled in a science, engineering, or math graduate program, have a GPA of at least 3.0, work up to 30 hours per week during the academic year, be a U.S. citizen or legal resident, and have experience in Bayesian network models, neural networks, programming languages, neuroscience, and machine learning.
You will develop brain-inspired algorithms, map them onto neuromorphic hardware, collaborate with researchers, and publish research findings in high-quality journals.

Off-cycle Internship

Research & Development, Software Engineering•Albuquerque

Qualifications We Require:
You bring the confidence and skills to be eligible for the job by meeting these minimum requirements:
Earned bachelor's degree
Currently attending and enrolled full time in an accredited science, engineering, or math graduate program
Minimum cumulative GPA of 3.0/4.0
Ability to work up to 30 hours per week during the academic year, and up to 40 hours per week during the summer
U.S. citizens, legal permanent residents, asylees or refugees in the U.S.
Qualifications We Desire:
Publications or significant research experience in Bayesian network models, neural networks, brain and neural circuit modeling, or computational models of human perception.
Proficiency in one or more programming languages: C, C++, Python, Julia, Java, or Matlab.
Research experience in neuroscience, particularly vision or perception.
Experience with implementing autonomous systems, machine learning, deep learning, or reinforcement learning.
Good oral and communication skills.

Currently Studying

Research & Development

Software Engineering

Draw inspiration from neuroscience to develop algorithms to solve real-world problems.
Develop techniques for mapping novel brain-inspired and machine learning algorithms onto existing and emerging neuromorphic hardware. This includes analyzing, benchmarking, and modeling neuromorphic architectures.
Be motivated and enthusiastic individuals with excellent communication skills and who have the desire to gain research experience in a highly collaborative research environment.
Be exposed to a wide range of computational research at Sandia and will have a strong project-based research experience working directly with Sandia staff scientists.
Work with computer scientists, mathematicians, and engineers to abstract neural computations such as dendritic computation, short-term plasticity, and microcircuit computations for incorporation into artificial intelligence algorithms and man-made computing systems.
Develop neurobiological models at differing levels of biological complexity, including neural circuit models constrained by current understanding of sensory processing in biological nervous systems.
Publish research results in high-quality journals and professional conference venues.

Work type

Full time

Work mode

office

Location

Albuquerque