Research Scientist in Neuromorphic Computing

Requisition Id15111

Overview:

The Oak Ridge National Laboratory (ORNL) seeks early and mid-career researchers experienced in all areas of research related to artificial intelligence and machine learning including reinforcement learning, nature inspired algorithms, deep learning, agent based modeling, and natural language processing. We are specifically interested in research focused on the development of new algorithms and methods that can be used to analyze large and complex scientific data using novel computer architectures such as high performance, neuromorphic, and quantum computing.

We are a community of top researchers who are ready to tackle the hardest problems faced by the country and the world, such as the development of advanced materials, clean energy, national security, and supercomputing. ORNL is an open science laboratory, where research staff are expected to participate in and demonstrate leadership in the international research community.

As a research staff member, you will have the opportunity to help solve some of the most challenging problems this country faces. You will perform ground breaking research on a wide range of significant problems with the fastest computing platforms in the world. This position requires novel thinking, teamwork, and discovery in finding new approaches for analyzing massive and complex data, collaborating with worldwide experts, and publishing ground breaking results.

The Learning Systems Group in the Data and Artificial Intelligence Systems Section is seeking a highly motivatedNeuromorphic Computing Researcherto join our team. This role focuses on advancing the design and deployment of spiking neural networks (SNNs) and neuromorphic hardware, targeting large-scale, bio-inspired computing systems. The ideal candidate will bring a mix of VLSI design expertise, deep learning knowledge, and a strong track record of collaborative research.

Major Duties/Responsibilities:

• Perform basic and applied research in artificial intelligence and machine learning to further scientific discovery.
• Collaborate with top researchers and scientists on challenging national scale problems.
• Author proposals, contribute to grant writing, and support funding acquisition as a co-PI
• Publish findings in peer-reviewed journals and present at leading conferences
• Lead and contribute to research on the co-design of neuromorphic hardware and scalable SNN simulators
• Develop hybrid systems that integrate analog/digital architectures with neuroscience-inspired algorithms
• Implement and optimize biologically plausible learning rules on FPGA and high-performance computing (HPC) platforms

Basic Qualifications:

• Ph.D. (or equivalent experience) in Electrical Engineering, Computer Engineering, Neuroscience, or a related field
• Outstanding publication track record.
• Relevant research experience in artificial intelligence, machine learning or data analytics.
• Hands on experience with latest artificial intelligence and machine learning libraries.
• Programming experience in one or more of the following languages: C, C++, Java, and/or Python.
• Ability to communicate effectively (both verbal and written).
• 4+ years of experience in VLSI or neuromorphic hardware development
• Proficiency in spiking neural networks, analog IC design, and deep learning methods
• Demonstrated ability to work in collaborative research environments and secure research funding

Preferred Qualifications:

• Ability to collaborate with a wide range of scientists, engineers, and program managers.
• Experience with high performance computing and novel computing architectures.

ORNL Ethics and Conduct:

As a member of the ORNL scientific community, you will be expected to commit to ORNL's Research Code of Conduct. Our full code of conduct, and a statement by the Lab Director's office can be found here:https://www.ornl.gov/content/research-integrity

Letters of Recommendation: 3 of references are required

Please submit three letters of reference when applying to this position. You may upload these directly to your application or have them sent to ORNLRecruiting@ornl.gov with the position title and number referenced in the subject line.

Instructions to upload documents to your candidate profile:

* Login to your account via jobs.ornl.gov

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* Under the My Documents section, select Add a Document

About ORNL:

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation's most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.

ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience.

Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.