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

Application domains include those from space environment (including International Space Station, Europa lander, lunar gateway, etc.) Aeronautics (e.g., On- Demand Mobility). Spend a summer, a semester, or longer at NASA Ames and get immersed in the PCoEs activities while working towards your Ph.D. (if the topic is synchronized). Both US Citizens and international students (F1/OPT) are welcome to apply. Required Education, Experience, & Skills:
– MS in Engineering or related fields
– 2 years of related experience
– Working towards completion of Ph.D. Program in Computer Science, Electrical Engineering, Mechanical Engineering, or other fields
– Expert understanding of state-of-the-art theoretical approaches to diagnostics such as distributed diagnostics, sequential diagnostics, arborescent architectures, disambiguating knowledge, model- based diagnosis, hybrid systems, hypotheses discrimination, inference-based diagnosis, active diagnosis, qualitative reasoning, and others.
– Comfortable coding in MATLAB, Python, C, C++, and able to integrate research quality work into the production environment.
Independence and the ability to take their own research path and take ownership of projects
– Publishing and paper writing skills
Excellent communication skills and the ability to interact and gel with the team effectively is also an important requirement

This position requires someone who is a motivated self-starter, capable of working independently and as part of an integrated team. Familiarity with proposal writing and development. Scheduled Weekly Hours: 40

KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

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

Global Technology Connection Inc. is an award-winning engineering firm with over 20 years of history as a wide range of product and service provider in the areas of Predictive Analytics; Modeling and Simulation; Data Science, and Failure Analysis for analyzing, predicting the health of critical assets. We are recognized as one of the leading innovators in the field of complex asset Condition-Based maintenance (CBM) and Prognostics and Health Management (PHM) technologies. The company has built a solid reputation as the leading PHM solution provider for innovative software and hardware products and solutions. We support all branches of the military and various commercial sectors by monitoring their complex assets.

We are seeking engineers to become an integral part of our team! You will be responsible for developing analytical and predictive models for a wide array of engineering applications.

Responsibilities:
– Work within a team to develop production-quality algorithms (diagnostics, prognostics, and controls)
– Lead project development and management
– Contribute to the continual development of innovative approaches to technology application
– Create models that estimate systems (physics-based and machine learning)
– Create and write proposals
– Travel and involvement in conferences (writing/presenting papers, booth monitoring, etc.)
– Clear understanding of product requirements through stakeholder outreach
– Write technical reports and design documentation

Qualifications:
– Ph.D., M.S, or B.S. in Mechanical, Aerospace, Electrical/Computer, Materials Engineer, or similar degree. (roles and responsibilities will correspond to your degree and level of experience)
– Experience building models and simulations
– Experience with data science, machine learning, data analytics, etc.
– Programming proficiency in Python
– Experience in backend and frontend
– Experience in deploying desktop/web applications
– An entrepreneurial drive
– Solid teamwork skills

Other Desired Qualifications:
– Experience with additional programming languages: C, C++, C#, Python, Matlab, Javascript, SQL
– Experience in backend and frontend
– Experience in deploying desktop/web applications
– Experience with web development
– Hardware and controls experience will be beneficial
– Experience with additive manufacturing

Potential candidates should contact Dr. Jesse Williams: jwilliams@globaltechinc.com. Please include your resume / CV.

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. A case study with details is available at https://www.parc.com/case-study/transforming-bridge-maintenance-asset-management-with-iiot-system-analytics/

PARC is unlike any organization in the world. Located in Silicon Valley, PARC is a renowned research and Open Innovation company that’s been at the heart of some of the most important technological breakthroughs of our time. Combine the best of an esteemed research organization, a top notch university, an entrepreneurial startup, and a premiere technology company and you get PARC, a team that melds its world-class innovation chops with a focus on researching and developing real world applications that have market potential. PARC’s focus extends beyond invention: the team creates new business options and opportunities.

The team is currently in late-stage customer trials and are looking for an experienced technical leader who can get the technology ready to scale, harden the hardware and software technology components, streamline the modeling/analytics pipeline, manage the onshore/offshore development team, organize QA/testing, and create the vision for the product platform. This role has some unique benefits: the “ownership” that comes with being in a startup business along with the opportunity to collaborate with world class technical talent.

Responsibilities

Lead the engineering effort to take an innovative optical sensing and predictive analytics solution to market
Manage onshore/offshore DevOps, ensuring that milestones are met cost-effectively
Drive transfer of research prototypes to hardened field-deployable technology
Oversee development of technology solution, manage bill of materials, and vendor relationships for sensing hardware builds
Manage the scaling of the solution, support deployments, and oversee documentation
Ensure the robustness, compliance, and security of the offering
Lead development and execution of the vision for the product platform and architecture
Manage interactions with key internal and external stakeholders including effectively communicating technology status, vision and roadmap

Requirements

Required – Advanced degree in Electrical, Electronics, Mechanical, Civil, Aerospace Engineering or related discipline
Experience leading technical teams that have successfully taken a sensing and analytics solution to market
10+ years of technology development experience with specific experience (5+ years preferred) developing sensors, structural models, IoT-connected systems and/or building an efficient end-to-end system analytics pipeline
Direct experience with fiber optic sensors and structural health monitoring is a plus
Able to work effectively across research, development and business teams to collaborate, resolve problems and engage support
Self-starter with excellent written and verbal communication skills

Benefits

We offer a very competitive salary package and full benefits (medical, dental, vision, life & disability insurance, 401K. PARC also strives for the best possible work-life balance, so employees benefit from maternity, paternity and adoption leave, as well as a variety of flexible working options. PARC employees enjoy the use of onsite health & fitness center and collegial dining at our onsite cafeteria. The PARC campus is in a spacious modern building in close proximity to the resources and opportunities of Silicon Valley and benefits from nearby leading universities such as Stanford and Berkeley. It is also close to many amenities, top schools, and outdoor activities. PARC provides a highly diverse environment and is proud to be an equal opportunity employer (see http://www.parc.com/about/careers/).

About PARC

PARC, a Xerox company, is in the Business of Breakthroughs®. Practicing open innovation, we provide custom R&D services, technology, expertise, best practices, and intellectual property to Fortune 500 and Global 1000 companies, startups, and government agencies and partners. We create new business options, accelerate time to market, augment internal capabilities, and reduce risk for our clients.

Since its inception, PARC has pioneered many technology platforms – from the Ethernet and laser printing to the GUI and ubiquitous computing – and has enabled the creation of many industries. Incorporated as an independent, wholly owned subsidiary of Xerox in 2002, PARC today continues the research that enables breakthroughs for our clients’ businesses.

PARC is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. People with disabilities who need a reasonable accommodation to apply or compete for employment with PARC should contact PARC Human Resources.

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.

You are expected to have independent problem-solving, mentoring, and leadership skills that will enable you to take your own research path and take ownership of projects.

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.

https://inl.taleo.net/careersection/inl_external/jobdetail.ftl?job=14934&tz=GMT-06%3A00&tzname=America%2FDenver

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

Flanders Make is working on breakthrough technologies for manufacturing companies to make their systems more autonomous and efficient. Additional sensors can provide data to predict current and future needs for operation and maintenance. In one of the research projects, for example, Flanders Make researchers participate in an international consortium on model-based detection and prediction of corrosion on off-shore wind turbines using image processing via drones.

Function

As a signal processing research engineer, you will:
– Work together in a small research team that combines expertise in modelling, signal processing and experimental testing;
– Play a key role in developing and testing signal processing algorithms, taking into account industrial requirements such as robustness. Sensor fusion, virtual sensing, advanced filtering, algorithms for self-diagnostics and condition monitoring, physical modelling and feature extraction are within the scope of your future research activities;
– Work in close collaboration with experts from our industrial partners and have regular contacts with experts from knowledge centres in Belgium and abroad;
– Become a sparring partner for our leading companies in their innovation processes;
– Trace and present industrial challenges and new research opportunities.
– Participate in multiple projects with various applications. You will be able to choose from a variety of technology development projects to apply and broaden your skills in different domains.

Profile

You have:
− A master’s or PhD degree in Engineering (Mechanical, Electronical, Electrical);
− At least 4 years of experience in an industrial or research environment;
− In-depth knowledge of signal processing and modelling of dynamic systems;
− Experience with modelling and processing software (Matlab, Simulink, and/or Python) and measuring systems (e.g. Labview or dSPACE).

You are:
− Passionate about research and new technologies;
− Result-oriented, responsible, self-directing and a team player;
− A good communicator;
− Eager to learn.

Offer

− A challenging job, working with experts in various fields, using state-of-the-art infrastructure for autonomous systems, machine & vehicle dynamics, predictive control, data analytics, software prototyping.
– Variety. A steady job at Flanders Make entails more than one project.
− An open corporate culture with short communication lines;
− A multi-stakeholder research context;
− An enthusiastic, international team.

https://flandersmake.talentfinder.be/nl/vacature/reference/BEPHMSJ48343/application-form.aspx

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

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.