National Energy Technology Laboratory (NETL) – Systems Analyst

National Energy Technology Laboratory (NETL) – Systems Analyst

Pittsburgh, PA; Morgantown, WV; Albany, OR

Apply by 4/30/19

Through the Oak Ridge Institute for Science and Education (ORISE), this posting seeks an engineer or scientist to collaborate with NETL researchers to design industrial facilities which would leverage the NETL-developed technologies to produce rare earth elements from the coal related feedstocks. Once designed, NETL engineers will mentor the candidate to evaluate the performance of the process and provide REE production cost estimates based on process inputs, energy requirements, and products produced. The process design is expected to be refined as more is learned about the process inputs and outputs, allowing the candidate to learn more about the REE extraction process, industrial process design, process optimization techniques, and market evaluation strategies. The candidate will also collaborate with NETL engineers to design and perform sensitivity analyses to determine key process variables and performance metrics.

During the process design activity, the candidate will have the opportunity to collaborate with NETL separations researchers from a variety of backgrounds – ranging from geology to chemical engineering – as they learn more about the nuances of each separations process. This will inform the separations research, allowing NETL researchers and management to better understand how to optimize the separations processes and to identify research targets to better improve process performance. The candidate will have the opportunity to be creative and be a part of a motivated team, while learning about energy, process design and optimization, and mineral development processes.

Program information: Detailed information about the program can be found at http://www.orau.gov/netl/. Please send a CV to Thomas Tarka at Thomas.Tarka@netl.doe.gov.

How to apply: Information in regard to the opportunity and a link to the application can be found at https://www.zintellect.com/Opportunity/Details/NETL-2019-PIP-Tarka-1.

GE Internships

Our 12-month paid apprentice program provides the training and hands-on  experience with medical equipment  you need to prepare for a fulfilling  career with GE Healthcare. Resumes should be sent directly to David Reece at David.Reece@med.ge.com

Apprentice Program Opportunities

Biomedical Technician Apprentice
As a Biomedical Technician Apprentice, you will respond to service calls under supervision to  evaluate, diagnose, perform repair and planned maintenance on biomedical equipment and drive customer satisfaction through service excellence.

Client Service Technician Apprentice As a Client Service Technician Apprentice, you will perform various equipment service processes and procedures to drive customer satisfaction and ensure proper functionality of customer  diagnostic imaging, Life Care Solutions and biomedical equipment.

Field Engineer Apprentice As a Field Engineer Apprentice, you will perform various equipment service processes and  procedures including troubleshooting issues, implementing repairs and completing preventive maintenance to drive customer satisfaction and ensure proper functionality of diagnostic  imaging and Life Care Solutions equipment.

gehealthcare.com/en/about/apprentice-job

file:///C:/Users/matt0002/AppData/Local/Packages/microsoft.windowscommunicationsapps_8wekyb3d8bbwe/LocalState/Files/S0/6536/Attachments/GE_Service%20Apprentice%20Brochure_SP_JB51515XU_Oct2018[6665].pdf

Postdoctoral Research Opportunity in Uses of Byproducts from Agricultural Waste Streams

APPLICATION DEADLINE: May 16, 2019 3:00PM ET

https://www.zintellect.com/Opportunity/Details/USDA-ARS-2019-0036

A research opportunity is available with the U.S. Department of Agriculture (USDA), Agricultural Research Service (ARS), Coastal Plains Soil, Water and Plant Research Center located in Florence, South Carolina.

The mentor for this opportunity, Dr. Novak, is a Soil Scientist at the center and has a research program geared to develop beneficial uses of byproducts from agricultural waste streams. Animal manures and waste effluents represents some of these waste streams. At the laboratory, thermal carbonization processes have been developed to produce biochars from various feedstocks. Our research has shown that biochars can be used as amendments in agricultural soils for soil health improvement and in mine waste reclamation for improved phytostability. Additionally, our research has shown that biochars can be activated using chemical methods to enhance their phosphorus (P) binding potentials. Thus, these activated biochars have potential uses as amendments to sequester P and as a sorbent phase to bind P in waste streams (manure effluent or storm water runoff). Under the guidance of a mentor, the selected candidate will conduct research in a professional environment to collect poultry litter feedstocks, create/develop/refine methods to chemically activate biochars, characterize their P binding potential and ability to sequester P in soils/waste streams. The participant will use a battery of tests to characterize the surface chemistry of biochars including advanced spectroscopic instrumentation to elucidate P binding mechanisms. Additionally, the participant is expected to interpret scientific results, compose manuscripts for submission to peer-reviewed scientific journals, and make presentations at scientific meetings.

The opportunity will require both greenhouse and laboratory experiments to develop methods to produce activated poultry litter biochar for enhanced phosphorus (P) binding soils and waste streams and to determine its ability to serve as a slow release fertilizer. In this research, the participant will develop methods to modify the surface chemistry of biochars using various reagents, characterize their surfaces using advanced spectroscopic techniques (e.g., SEM, FTIR, etc.) and to perform laboratory phosphorus sorption/desorption experiments. Additionally, the selected candidate will participate in collection of phosphorus enriched field soil and animal waste effluent samples and will conceive plant-greenhouse experiments to determine if bound phosphorus can serve as a slow release fertilizer.           

The participant is expected to travel to regions of the continental United States to collect soil and feedstocks, develop working relationships with colleagues for professional development involving spectroscopic methods to characterize biochars.  Additionally, the participant is expected to interface with associate colleagues/employees to produce biochars and conduct laboratory and greenhouse studies.

Qualifications

The qualified candidate should have received a doctoral degree in one of the relevant fields, or be currently pursuing the degree and will reach completion by August 1, 2019.

Preferred skills/experience:

• Analytical skills to prepare solutions and chemicals for activating feedstocks
• Skills to produce biochars using pyrolysis techniques
• Ability to use advanced analytical instruments (FTIR, SEM, EDX, etc.) and interpret results
• Experience to conduct and interpret phosphorus sorption/desorption isotherms
• Experience to compose and publish manuscripts in peer-reviewed scientific journals and make presentations at meetings
• Ability to conduct research in a professional setting with other scientists
• General understanding of basic soil science principals and plant nutritional requirements

This opportunity is available to U.S. citizens only.

For more information about the ARS Research Participation Program, please visit the Program Website.

For a full description of this opportunity and to submit your application, visit https://www.zintellect.com/Opportunity/Details/USDA-ARS-2019-0036.

If you have any questions, send an email to USDA-ARS@orau.org. Please include the reference code for this opportunity (USDA-ARS-2019-0036) in your email. 

National Energy Technology Laboratory (NETL) – AI/Advanced Data Analytics for Energy Infrastructure Sensing

National Energy Technology Laboratory (NETL) – AI/Advanced Data Analytics for Energy Infrastructure Sensing

Pittsburgh, PA

Apply by 6/1/19

Through the Oak Ridge Institute for Science and Education (ORISE), this posting seeks a postdoctoral or post-master’s researcher to participate in the research and development of advanced data analytics methods applied to energy infrastructure sensing applications, with an emphasis on natural gas infrastructure. An emphasis will be placed on artificial intelligence and related methods for predictive monitoring of incipient failures within the natural gas infrastructure by leveraging distributed optical fiber sensing. The candidate will also have opportunities to engage in data analytics for wireless sensor technology platforms and other energy infrastructure, including subsurface monitoring.

The successful candidate will have a strong background in these elements (but not necessarily all):

·        An advanced degree in statistical methods, mathematics, data science, computer science, electrical engineering, applied physics, or a related field

·        Experience with development and application of advanced data analytics methods (e.g. artificial intelligence, principal component analysis, neural networks, machine learning, big data analytics) using custom developed algorithms or commercially available software packages.

·        Familiar with multivariate analysis techniques for extracting information related to multiple parameters simultaneously from advanced sensing platforms.

·        Experience with high performance computing environments, tools, and applications.

Program information: Detailed information about the program can be found at http://www.orau.gov/netl/. Please send a CV to Paul Ohodnicki at paul.ohodnicki@netl.doe.gov and Jennifer Bauer at jennifer.bauer@netl.doe.gov.

How to apply: Information in regard to the opportunity and a link to the application can be found at https://www.zintellect.com/Opportunity/Details/NETL-2019-PGRP-Ohodnicki-1.

Data Incubator Fellowship

Program: The Data Incubator is an intensive 8 week fellowship that prepares masters students, PhDs, and postdocs in STEM and social science fields seeking industry careers as data scientists. The program is free for Fellows and supported by sponsorships from hundreds of employers across multiple industries. In response to the overwhelming interest in our earlier sessions, we will be holding another fellowship.
Who Should Apply: Anyone who has already obtained a masters or PhD degree or who is within one year of graduating with a masters or PhD is welcome to apply. Applications from international students are welcome. Everyone else is encouraged to sign-up for a future session.
Locations: In addition to the below in-person locations, we will have a remote online session:

• New York City
• San Francisco Bay Area
• Boston
• Washington, DC.

Dates: All sections will be from 2019-06-24 to 2019-08-16.
Application Link: https://www.thedataincubator.com/fellowship.html#apply?ref=wamlsbHFAb3UuZWR1Cg==
Early Deadline: 2019-04-15.
Regular Deadline: 2019-04-22.
We are assessing and interviewing candidates who apply for the Early Deadline first and then based on remaining availability, will take candidates who applied for the Regular Deadline on a first-come first-serve basis.
Data Science in 30 minutes: Learn how to build a data-science project in our upcoming free Data Science in 30-minutes webcast. Signup soon as space is limited.
Learn More: You can learn about our fellows at The New York Times, LinkedIn, Amazon, Capital One, or Palantir. To read about our latest fellow alumni, check out our blog. To learn more about The Data Incubator, check us out on Venture Beat, The Next Web, or Harvard Business Review.

National Energy Technology Laboratory (NETL) – R&D SOFC Grid Integration Power Electronics

 Morgantown, WV & Pittsburgh, PA

Apply by 6/1/19

Through the Oak Ridge Institute for Science and Education (ORISE), this posting seeks researchers to participate in the research and development of power electronics applications for interfacing between solid oxide fuel cell (SOFC) systems and utility grids. The scientist/researcher will collaborate to study the interactions between SOFC and power conditioning systems and to research novel methods to optimize SOFC system operations with emerging power electronics and power conversion applications.

The successful candidate will have a strong background in these elements (but not necessarily all):

·        Experience with designing and implementing controllers for single- and three-phase inverters

·        Experience with MATLAB/Simulink/PLECS simulation tools or other power electronics simulation packages

·        Experience with designing and applying electronics and electrical test equipment including oscilloscopes with current and voltage probes, DSP controllers with PWM capability, impedance measurement systems, LCR meters, network analyzers, function generators, and other power electronics instruments

·        Familiar with distribution class, medium voltage converters, such as multi-level converters

Program information: Detailed information about the program can be found at http://www.orau.gov/netl/. Please send a CV to Paul Ohodnicki at paul.ohodnicki@netl.doe.gov.

How to apply: Information in regard to the opportunity and link to the application can be found at:

Post-Bachelor’s and Graduate Students: https://www.zintellect.com/Opportunity/Details/NETL-2019-PIP-Ohodnicki-1

Post-Master’s and Postdocs: https://www.zintellect.com/Opportunity/Details/NETL-2019-PGRP-Ohodnicki-2

Research Opportunity in Economic Modeling and Analysis

APPLICATION DEADLINE: April 15, 2019 3:00PM ET

https://www.zintellect.com/Opportunity/Details/USDOT-2019-0006

Have you ever wanted to influence and improve the effectiveness of transportation infrastructure at the national level? Are you detail-oriented and committed to producing economic products? Join us as we lead the development of new and improved approaches to infrastructure economics modeling and analysis.

You will learn to create economic analysis related to our Nation's transportation systems that are used by government officials, researchers, and the American people. To achieve your learning objectives, you will have the opportunity to collaborate with those other DOT offices and Federal agencies that help maintain infrastructure and economic data and analytical capabilities. Your learning opportunities will also include the ability to participate in inter-agency efforts relating to the development and improvement of transportation economic modeling and analytical applications.

Who are we?  We are the U.S. Department of Transportation's Office of the Assistant Secretary for Research and Technology Office of the Assistant Secretary for Research and Technology.  Our office is charged with providing and expanding opportunities for research collaboration and coordination, while upholding the integrity and impartiality of transportation statistical data.

Qualifications

The qualified candidate should be currently pursuing or have received a master's or doctoral degree in one of the relevant fields, with coursework in economics. Degree must have been received within five years of the appointment start date.

Preferred skills:

• Strong written and verbal communications skills
• Self-starter with the ability to perform with limited supervision and changing outcome goals
• Knowledge of and interest in U.S. transportation systems
• Experience presenting results in a clear, effective, and attractive manner to inform next steps
• Proficiency translating high level business requirements into detailed design specifications
• Ability to function across various offices and work units to obtain information, collaborate on data-related projects, and validate findings and conclusions
• Ability to collaborate with subject matter experts to identify and mitigate data limitations
• Experience using various programming languages to create processes that identify variation, investigate patterns and perform data interpretation against large datasets is a plus

For a full description of this opportunity and to submit your application, visit https://www.zintellect.com/Opportunity/Details/USDOT-2019-0006.

If you have any questions, send an email to USDOT@orau.org. Please include the reference code for this opportunity (USDOT-2019-0006) in your email.