The Instrumentation, Controls, and Data Science Department within the Nuclear Science and Technology Directorate at Idaho National Laboratory is looking for a talented and motivated post-doctoral researcher with a background in control theory to work on an exciting project to develop an anticipatory control system for microreactors and modular nuclear reactors.

Qualifications:
• PhD in Electrical Engineering, Mechanical Engineering, Nuclear Engineering, or other related engineering discipline; must be completed by commencement of appointment and within the previous 5 years.

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Company: 
KBR Inc. NASA Ames Research Center
Date Posted: 
October 30, 2020

KBR is looking for a Diagnostics and Prognostics Group Intern for the ISRDS contract at NASA Ames. This opportunity will explore the nature of prognostics.
In particular:
- Estimating on-line confidence of remaining life predictions
- Hybrid data-driven/physics based prognostics
- System-level prognostics; prognostic ensembles

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Company: 
Global Technology Connection, Inc.
Date Posted: 
October 30, 2020
Contact: 
[email protected]

Job Title: Development Engineer
Company: Global Technology Connection, Inc.
Location: Atlanta, Georgia

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Company: 
Palo Alto Research Center (PARC, a Xerox Company) - CA, USA
Date Posted: 
September 22, 2020

Building on some exciting developments in sensing, analytics, and the IoT, we have an exciting new opportunity for a key leadership role as the Head of Engineering to support a new venture incubated by PARC. You will take on the responsibilities similar to startup CTO, leading the engineering effort to bring an optical sensing-based health monitoring solution to market for transportation structures. The technology employs cutting edge optical sensors, structural models, and advanced analytics to help customers generate and manage critical structural assets through the IoT.

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Idaho National Laboratory is seeking a Post-Doctoral Research Associate with experience in Machine Learning to join the Instrumentation, Controls, and Data Science Department. The research will focus on using machine learning to develop equipment-agnostic anomaly detection methods that can be applied to process sensors data used in the nuclear power industry. The research will also develop language processing methods to classify documents in support of anomaly detection and streamlined operations and maintenance in the nuclear industry.

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You develop advanced signal processing strategies for the design of intelligent and interconnected machines, vehicles, robots and drones.

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Company: 
Seagate Technology
Date Posted: 
March 30, 2020
Contact: 
[email protected]

About our group:

We are part of the Operations & Technology Advanced Analytics Group. We are seeking a talented Data Scientist for a high profile initiative which will help our internal customers turn the data they have into the information they need to develop and deliver industry-leading storage solutions.

About the role:

This role is to facilitate the advancement of modern analytical techniques across Seagate organizations

Leverage and/or develop innovative data mining and machine learning methods to solve novel and diverse business problems

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Company: 
PARC
Date Posted: 
March 19, 2020
Contact: 
Kai Goebel - [email protected]

PARC is incubating a new software venture in the Industrial Internet of Things (IIoT) space. We are looking for an experienced Research Scientist who will be responsible for developing models for anomaly detection, diagnostics, and prognostics of failure using physics-based approaches and physics-based approaches that are infused with data driven techniques using streaming sensor data from industrial equipment.

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Company: 
Cranfield University, UK
Date Posted: 
February 12, 2020
Contact: 
Ian Jennions, [email protected]

Cranfield University’s Integrated Vehicle Health Management Centre (IVHM) was established in 2008 between Boeing, Cranfield, and a number of other highly regarded aerospace companies (including BAE Systems, Rolls-Royce, Meggitt and Thales). The Centre is now globally recognised, having defined the subject area and developed its capability on several fronts. The development of the Centre, along with two other areas in the University, significantly contributed to the recent £65m DARTeC (Digital Aviation Research and Technology Centre) proposal success.

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Company: 
NVIDIA
Date Posted: 
February 10, 2020
Contact: 
Ed Alfriend ([email protected])

* Develop Industrial and PdM ecosystem for the defense and aerospace community with cross functional team: Product, Engineering, Applied Research, Marketing, and Sales
* Lead and develop strategic relationship with key startups, OEMs, ISV’s, and leading industries’ developers
* Know all NVIDIA GPU / AI computing platforms from datacenter to edge and effectively articulate the value proposition to the sustainment developer community
* Drive adoption of NVIDIA SDK’s into developer products
* Funnel relevant startups to participate in NVIDIA Inception program

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