Author: Segen Sara A. Habte
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The National Institute of Allergies and Infectious Diseases (NIAID) is the largest funder of infectious and immune-mediated disease research, and globally the institute is playing a major role in responding to disease outbreaks and pandemics. NIAID is at the center of generating and analyzing large, diverse, and complex data sets to accelerate the science of better understanding pathogen transmission and evolution, pathogen-host interactions, host immune response, and infectious and immune-mediated disease pathogenesis, as well as to develop new and improved diagnostics, therapeutics, and vaccines. NIAID aims to advance data science to efficiently use large-scale and complex data for new scientific insights.
What will I be doing?
Each fellow will collaborate with staff across the institute’s intramural and extramural divisions. Fellows will receive training and hands-on-experience in a broad range of data science topics, including data analytics, informatics methods, and software development, but will also be exposed to how data science funding programs are being developed for research and training, and in the design of data governance and sharing strategies.
Why should I apply?
You will have the opportunity to network and explore federal career opportunities. The NIH Bethesda, Maryland campus is home to more than 1,000 laboratories where scientists are engaged in virtually every area of biomedical research, so expertise in almost any discipline is readily accessible. Inter-Institute interest groups promote interactions between senior scientists and NIH fellows in different disciplines.
Where will I be located?
NIAID offices in Bethesda, MD area
What is the anticipated start date?
The exact start date will be determined between the mentor and applicant at time of selection. The initial appointment is for one year but may be renewed upon recommendation of NIAID contingent on the availability of funds.
What are the benefits?
· Stipend: Competitive stipend ranging $80,990 – $91,958 annually, based on education and experience.
· Health Insurance Supplement: 100% of ORAU health insurance premiums covered for the duration of the appointment.
· Travel and Training Allowance: $6,000 annually
Qualifications
· Received a Master’s or Doctoral degree in a relevant field within five years (60 months) of appointment start date. Current graduate students may apply but must complete their degree before the start of the appointment.
· Be a U.S. Citizen.
To learn more and apply, visit: https://www.zintellect.com/Opportunity/Details/NIH-NIAID-2022-0002
Author: David Johnson
Date: Friday, March 18, 2022 at 3:30 pm
Location: Martin Hall, Room EGR-0159
List of Committee Members:
Assistant Professor Monifa Vaughn-Cooke, Advisor and Chair
Professor Mohammad Modarres
Professor Jeffrey Herrmann
Assistant Professor Allison Reilly
Professor Gregory Baecher, Dean’s Representative
Title of Paper: ROOT CAUSE ANALYSIS OF ADVERSE EVENTS USING A HUMAN RELIABILITY ANALYSIS APPROACH
Abstract:
Large scale analysis of adverse event data is challenging due to the unstructured nature of event reporting and narrative textual data in adverse event repositories. This issue is further complicated for human error adverse events, which are routinely treated as a root cause instead of as initiating events in a causal chain. Human error events are commonly misunderstood and underreported, which hinders the analysis of trends and the identification of risk mitigation strategies across industries. Currently, the prevailing means of human error investigation is the analysis of accident and incident data which are not designed around a framework of human cognition or psychomotor function. Existing approaches lack a theoretical foundation with sufficient cognitive granularity to identify root causes of human error. This research provides a cognitive task decomposition to standardize the investigation, reporting, and analysis of human error adverse event data in narrative textual form.
The proposed method includes a qualitative structure to answer six questions (when, who, what, where, how, why) that are critical to comprehensively understand the events surrounding human error. This process is accomplished in five main stages: 1) Develop guidelines for a cognitively-driven adverse event investigation; 2) Perform a baseline cognitive task analysis (when) to document relevant stakeholders (who), products or processes (what), and environments (where) based on a taxonomy of cognitive and psychomotor function; 3) Identify deviations for the baseline task analysis in the form of unsafe acts (how) using a human error classification; 4) and Develop a root cause mapping to identify the performance shaping factors (PSFs) (why) for each unsafe act.
The outcome of the proposed method will advance the fields of risk analysis and regulatory science by providing a standardized and repeatable process to input and analyze human error in adverse event databases. The method provides a foundation for more effective human error trending and accident analysis at a greater level of cognitive granularity. Application of this method to adverse event risk mitigations can inform prospective strategies such as resource allocation and system design, with the ultimate long-term goal of reducing the human contribution to risk.
The NYU Tandon Faculty Affairs Team will be hosting the second annual Faculty First Look event in-person.
This event will start on Thursday, April 28, 2022 by a dinner at 7:00 PM to welcome guests and will continue on Friday, April 29, 2022, from 9:00 AM – 4:00 PM. All of our day programming will take place on the campus of NYU Tandon School of Engineering, 6 Metrotech Center, Brooklyn, New York 11201. The fellows will have the opportunity to have all travel expenses, meals and accommodations covered by the university.
To apply, click here.
Position Summary:
Adjunct Faculty, Biomedical Engineering at Stevenson University will engage in teaching activities in accordance with the University’s Faculty Workload. Teaching responsibilities will include teaching courses in the Biomedical Engineering Program.
Education/Experience:
Master’s degree in Biomedical Engineering or a related discipline and a strong commitment to quality teaching. College level teaching experience preferred.
For more information and to apply, click here.
Learn more about this new fellowship and share with faculty members, and graduate students in the field of Nondestructive Evaluation in engineering at your university (NDE). Deadline to apply is March 31st, 2022.
Are you interested in conducting research abroad for the 2023-24 academic year?
The Fulbright U.S. Student Program is the flagship international educational exchange program sponsored by the U.S. Department of State. Fulbright awards give master’s students, master’s alumni, and PhD students, opportunities for international experience, personal enrichment, and an open exchange of ideas with citizens of other nations. The Fulbright program provides over 1800 awards annually in over 155 countries.
Learn More
We are hosting eight virtual information sessions to provide an overview specifically for graduate students. You may register below:
Monday, March 14 12:00 – 12:30 pm
Tuesday, March 15, 12:00 – 12:30 pm
Tuesday, March 15, 4:00 – 4:30 pm
Friday, March 18, 10:00 – 10:30 am
Tuesday, March 29, 4:00 – 4:30 pm
Wednesday, March 30, 12:00 – 12:30 pm
Thursday, March 31, 10:00 – 10:00 am
Friday, April 1, 4:00 – 4:30 pm
If you are unable to attend any of these but are interested, please fill out this brief survey.
Eligibility
U.S. Citizens – Master’s and PhD students. Note that PhD students should be at or approaching candidacy and can apply up to the time of graduation (to use as a post-doc) but not after. The program also welcomes applications from recent graduates with a master’s degree. This is an opportunity for alumni to turn knowledge gained through professional experience into exciting international research projects. This can be a great step toward PhD level study or for transitioning to a new career phase.
Benefits
Round-trip transportation, living costs for the academic year, based on living costs in the host country, and supplemental health and accident insurance. Depending on the country, you may also receive modest funds for dependent support, book and research allowances, tuition, and language or orientation courses.
Grant Duration
Approximately one academic year; length and timing of awards varies by individual country and/or region.
Campus Deadline
The UMD campus deadline is September 1, 2022. However, there is a lot to do in putting together a successful Fulbright proposal. Our successful applicants start by late spring/early summer.
Intel is hiring and we have an open full-time R&D Engineer position in the Experimental Mechanics Lab at the Chandler (Phoenix, Arizona) campus. We are seeking candidates with an MS/PhD degree and a strong background in Experimental Mechanics & interest in hands-on work in a lab environment. Interested candidates can email their resume to the hiring manager – Pramod Malatkar (pramod.malatkar@intel.com).
Job Description:
Assembly and Test Technology Development (ATTD) Experimental Mechanics Lab deals with thermo-mechanical challenges in the development of advanced packaging technologies. The personnel in this R&D lab use a variety of tools to study the behavior of electronic packages and their material constituents under different mechanical and/or thermal loading conditions: like dynamic warpage of packages using optics-based tools; interfacial adhesion strength using Double Cantilever Beam test; fracture toughness of bulk materials using three-point bend test; material CTE using Digital Image Correlation method; and defect (or crack) detection & classification using optical (or acoustic emission) sensors and AI/ML codes. Employees also develop new metrologies and software capabilities for use with next-gen packaging technologies. An ideal candidate for this position is one with a strong background in Experimental Mechanics, along with problem solving and programming skills.
Qualifications:
You must possess the below minimum qualifications to be initially considered for this position.
• Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
• Relevant experience can be obtained through school work, classes and project work, internships, military training, and/or work experience.
Minimum Qualifications:
• Possess a master’s degree and 6+ months of experience or PhD degree and 1+ years of experience in one of the following majors: Mechanical Engineering, Aerospace Engineering, Materials Science and Engineering, or related field.
• Must have the required degree or expect the required degree by July 2022.
Preferred Qualifications:
6+ months of experience (master’s degree) or 1+ years of experience (PhD degree) with one or more of the following:
• Material characterization, load frames, DAQs, PID controllers, basic optics, 3D CAD, silicon photonics, Cu-Cu hybrid bonding, and/or structural health monitoring.
• LabView, Matlab, and/or Python programming.