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.

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

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.

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.