Company: 
Seagate Technology
Date Posted: 
March 30, 2020
Contact: 
allan.luk@seagate.com

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 - kgoebel@parc.com

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, i.jennions@cranfield.ac.uk

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 (ealfriend@nvidia.com)

* 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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Company: 
University of Strathclyde
Date Posted: 
February 10, 2020
Contact: 
sofia.koukoura@strath.ac.uk

EngD in the new EPSRC Centre for Doctoral Training in Wind and Marine Energy Systems and Structures at the University of Strathclyde collaborating with Natural Power.

Developing Future Leaders in Wind and Marine Renewable Energy:

A new Centre for Doctoral Training (CDT) at the University of Strathclyde will train researchers to EngD and PhD level in wind and marine energy. Funded by the Engineering and Physical Sciences Research Council (EPSRC), a total of 70 PhD students will be recruited for four years of training and research.

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This PhD Position is funded by the Marie Curie program of the European Union through the innovative training network (ITN) “GW4SHM” on Guided Waves for Structural Health Monitoring.
-Job Location: Safran Group - Safran Tech - Paris Saclay: Safran Sensing System Department-Rue des jeunes bois Châteaufort - CS 80112, 78772 Magny-les-Hameaux Cedex-France
-Contact: Dr. Rafik HADJRIA. Email: rafik.hadjria@safrangroup.com
-Doctoral School: Delft University of Technology-Faculty of Aerospace Engineering-Department of Aerospace Materials and Structures
-PhD Subject Description

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The Marie Skłodowska-Curie Actions Innovative Training Network (H2020-MSCA-ITN-2019-859957) “Intelligent Prognostics and Health Management in Composite Structures” (ENHAnCE) invites applications for 10 early-stage research (ESR) positions available with a starting date in the period June 1st –Sept 1st 2020 for a period of three years.

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Job Description

The data scientist hired into this position will work with the consultant
and product teams to primarily assist in the development of predictive monitoring and predictive quality models for various industrial and manufacturing applications. In developing these models, the data scientist will employ pre-processing techniques, feature extraction, anomaly detection, supervised regression and classification methods.

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Offshore renewable energy technologies have the potential to support traditional renewable energy sources and contribute to the energy mix in the short-medium term. Wave energy is an emerging area among the offshore renewable energy systems, where the motion of ocean waves is converted into electricity. Different technologies have been suggested [1], but all include different components to convert mechanical energy into electricity [2,3], which have a significant impact on the final performance and maintenance of the wave energy devices.

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Idaho National Laboratory is seeking a Postdoctoral Research Associate in a Nuclear, Electrical, Mechanical, Computer Engineering or related field for the Instrumentation, Controls, and Data Science Department.

You will be working on the project funded by different U.S Department of Energy programs that include, Light Water Reactor Sustainability Program, Nuclear Energy Enabling Technology Program, and others.

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