Senior Prognostics Health Management Engineer BR

Overview

Senior Prognostics Health Management Engineer

5447

Golisano Institute for Sustainability

CIMS CSP & C3R

Detailed Job Description

GIS conducts applied research in the area of sustainable manufacturing, and also provides technical assistance in a wide variety of areas to industry. We are looking for an engineer or scientist with a strong experimental and analytical background to support existing research programs in prognostics and health management (PHM), and data analytics. Our two primary application areas are transportation systems, including DoD systems, manufacturing equipment and processes, and embedded product monitoring.

In our work environment, researchers work in multi-disciplinary teams on a wide variety of different types of products and technologies, work with undergraduate and graduate students, and are engaged in collaborative research with leading companies. The ideal candidate will have worked in the development of PHM systems in industry or government positions, or completed Masters or PhD level research focused on PHM technologies.

• Conduct and manage research and development projects focused on PHM or data analytics in a variety of different application areas.
• Develop models and algorithms to assess the condition of electro-mechanical systems. The candidate should be comfortable with empirical lab or field work, as well as with simulation and modeling tools in their educational domain area.
• Support or lead development of government and industry proposals for external funding.
• Prepare and present / publish research results.
• Analyze the function and performance of electro-mechanical systems including failure modes.

The Golisano Institute for Sustainability is a global leader in sustainability education and research. We partner with business and government sponsors to solve complex, systemic problems. Much of our work aims to make industry more sustainable. To do this, we use innovative approaches and technologies to minimize the use of materials and energy while maximizing outcomes. Our expertise, combined with our state-of-the-art research facilities, allows our partners to gain new insights, fuel innovation, and move forward.

GIS draws upon the skills of more than 100 full-time engineers, technicians, research faculty, and sponsored students. We are home to six dynamic research centers that operate nearly 225,000 square feet of industrial infrastructure for modeling, testing, and prototyping. The mix of talent, experience, and technical capabilities that we bring to every project is unparalleled.

Bachelor’s degree in electrical or mechanical engineering or closely related field.

Experience:

• Minimum 5 years of work experience (including academic research) directly related to development of PHM or CBM technologies, data analytics solutions, or analysis and simulation of complex electrical or mechanical systems.

Specialized

Skills:

• A demonstrated ability to perform primary responsibilities:
• to conduct applied research
• analytical ability to solve challenging design / development problems
• experience with analytical modeling tools such as Python and Matlab
• strong organization and motivational skills
• strong verbal and written communication skills

• MS or PhD degree
• Greater than 10 years of directly related work experience
• Familiarity with machine learning technologies and tools

BS

121A

Fulltime

Cover Letter, Curriculum Vitae or Resume

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