What are the responsibilities and job description for the Computer Vision for Nuclear Power Postdoctoral Research Associate position at Idaho National Laboratory?
Idaho National Laboratory is hiring a Computer Vision for Nuclear Power Postdoctoral Research Associate to work in our Automation, Instrumentation and Controls department. Our team works a 9x80 schedule located out of our Engineering Research Office Building facility with every other Friday off. Hybrid work opportunities may be available for this position.
You will to develop artificial intelligence (AI)-based methods for computer vision applications such as image anomalies detection, image stitching, fire detection, instrument reading, and feature extraction for allowing autonomous unmanned aerial vehicle navigation.
You will help grow technologies that automate nuclear power plant operations. You will handle various image formats, videos, and resolutions, and employing pre-processing techniques such as dataset balancing and debiasing to enhance image quality and prepare datasets for analysis. Familiarity with generative AI methods to create training data is necessary , and experience with temporal analysis of images is considered. Additionally, you will have strong Python programming skills and proficiency with deep learning frameworks such as TensorFlow and PyTorch.
We ask that you have analytical and computational skills; the ability to conduct independent research; communication, both verbally and in writing, with management, co-workers, and customers; the ability to work collaboratively in a versatile team environment; publish research results in a mix of refereed journal publications and conference proceedings; and write and contribute to technical reports and to preparing proposals to the DOE or internal INL funding opportunities.
Minimum Requirements :
- Earned a PhD in Nuclear Engineering, Mechanical, Electrical, Computer, or related fields within the last 5 years.
- Strong publication record in journals and reputed conference proceedings in any of the following related areas : artificial intelligence (AI)-based methods for computer vision applications.
- Strong programming skills in Python programming and proficiency with deep learning frameworks such as TensorFlow and PyTorch
Job Information :
Benefits and Relocation
INL is a science-based, applied engineering national laboratory dedicated to supporting the U.S. Department of Energy's mission in nuclear energy research, science, and national defense. With more than 5,000 scientists, researchers, and support staff, the laboratory works with national and international governments, universities and industry partners to discover new science and development technologies that underpin the nation's nuclear and renewable energy, national security, and environmental missions.
INL Mission
Our mission is to discover, demonstrate and secure innovative nuclear energy solutions, other clean energy options and critical infrastructure.
INL Vision
Our vision is to change the world's energy future and secure our nation's critical infrastructure.
Selective Service Requirements
To be eligible for employment at INL males born after December 31, 1959 must have registered with the Selective Service System (SSS). For more information see www.sss.gov.
Equal Employment Opportunity
Idaho National Laboratory (INL) is an Equal Employment Opportunity (EEO) employer. It is the policy of INL to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. Women and People of Color are strongly encouraged to apply.
Reasonable Accommodation
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Other Information
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INL does not accept resumes from third party vendors unsolicited.
Salary : $96,900
