[Sam Grabus]

Events:

November 28-29, 2017
sUAS data IG Working Group
Vocabularies and Ontologies hackathan/workshop
(Planning meeting, November 16, 2017, 9 pm, UTC)
Washington, D.C.
Those involved in sUAS/RPAS data management are welcome to join us at a VOCamp (Vocabularies and Ontologies hackathon/workshop) 28-29 November Washington DC, or if they can’t make it but want to contribute we’re having a planning meeting 16 Nov 9pm UTC. The topic of ontologies for sUAS data (github) has been accepted for work effort. We currently plan on using modular oceanography ontology Geolink (paper pdf) as a starting point and to work through 3 domain representative scientific sUAS data pipelines. We hope this effort will be a first tangible step towards defining minimum (meta) data requirements and a way of capturing them as this is one of the key needs the sUAS IG has identified. See the sUAS data IG for more context and other work.
 
December 11–15, 2017
AGU Data Fair
New Orleans, Louisiana
New this year and inspired by Ruth Duerr, ESSI President, we are adding a Data Help Desk to the Data Fair activities. The Data Help Desk will have three sections 1) Data Reference Desk  (where volunteers can answer data questions) 2) Data Management Workshops (where volunteers will give data-centric workshops) and 3) Tool and Platform Demos (where volunteers can provide a tool/service demonstration).
We are looking for volunteers to sign-up for each of the Help Desk sections for hour long shifts. Sign-up is here: https://goo.gl/forms/Yao672NXobgITyax2 
Join the fun and learn more about this and other data-centric Fall Meeting events at:  fallmeeting.agu.org/2017/agu-data-fair
Looking forward to seeing many of you in New Orleans & thanks for supporting the help desk! 

Interest group / working group news:

Upcoming Sao Paulo Data Science School, Working Group
Sao Paulo, Brazil
Upcoming Sao Paulo Data Science School. We’re adding an IU visualization instructor from the Advanced Visualization lab.
Poster link: http://www.codata.org/workinggroups/research-data-sciencesummer-schools/2017-datasaopaulo.
Contact information:
Robert Quick
IU Research Technologies – Manager of High Throughput Computing
Open Science Grid – Operations Officer
Indiana University Bloomington
rquick@iu.edu
 
ECEIG – new Early Career and Engagement, Interest Group
July 2017—ongoing
Bloomington, Illinois
Recognizing the need to create a space in RDA for those who are at the beginning stages of their careers, Devan Donaldson (RDA US Data Share Fellow 2015-2016) and Fotis Psomopoulos (RDA EU Data Share Fellow 2016) submitted a draft charter for an Early Career and Engagement Interest Group (ECEIG). It was formally recognized and endorsed by TAB in July 2017. The objectives of the ECEIG are to: 1) Focus on Early Career Researchers and Professionals because they need the most support 2) Establish a volunteer based mentoring progamme 3) Network across domains to establish an interdisciplinary network of peers 4) Provide a space for people who have more experience with RDA to pass on knowledge and lessons learned to Early Career Researchers and Professionals 5) Create a social outlet specifically for Early Career Researchers and Professionals. The ECEIG had its first social event at RDA’P10 in Montreal (see picture attached). It really brought early career researchers together and was a success! We hope early career researchers will continue to use the ECEIG as a resource! To learn more about the ECEIG, the case statement is located here:  https://www.rdalliance.org/groups/early-career-andengagement-ig
 
Testbed Project Integrating RDA Outputs, Working Group, other
RPID moves to its semi-permanent home (rpid-handle.grid.iu.edu and rpid-dtr.grid.iu.edu)
RPID pages at https://rpidproject.github.io/rpid/

Awards/Recognition:

Dr. Beth A. Plale
Indiana University, Bloomington
We are pleased to announce that Dr. Beth A. Plale of Indiana University was recently appointed as Science Advisor for Public Access at the US National Science Foundation. In this role she will be working across the agency, the communities it serves, and the broader public to advance NSF’s mission through open science.
Contact information:
Dr. Beth Plale, Professor
School of Informatics, Computing, and Engineering
Indiana University, Bloomington
plale@indiana.edu

Call for Graduate Student Applications: 

The Collaborative Resource and Understanding Exchange Program (CRUX)
Northeast BigData Innovation Hub
The Northeast Big Data Innovation Hub (NEBDIH) is excited to announce our CRUX program: a Collaborative Resource and Understanding Exchange. Starting in spring of 2018, CRUX will launch the development of NEBDIH’s forthcoming Big Data Map and Assets Platform, with an ultimate aim of connecting the dots to create data-driven solutions to real-world problems.
Click here to learn more about this project on our blog
We’re hiring graduate students from across the Northeast (Connecticut, Maine, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, Vermont) to serve as web developers and subject matter experts. More detailed information and job descriptions are available here (PDF):
CRUX Development Associate (subject matter expert)
CRUX Web Developer (technical expert)
Applicants should complete the application form
including cover letter, CV and optional letter of reference. Submission deadline is Monday, November 20th at 5 pm Eastern Time. Decisions will be issued by mid-December.
If you are not a graduate student but are interested in getting involved, please contact Katie Naum at ken2115@columbia.edu

Job Openings for Post-doctoral Research Associates:

Job Title: Post-Doctoral Research Associate
Link: Job Posting
Organization, Website, and Location
Scientific Computation Research Center http://www.scorec.rpi.edu
Rensselaer Polytechnic Institute, Troy, New York
Position Responsibilities
The Scientific Computation Research Center (www.scorec.rpi.edu) at Rensselaer is seeking highly qualified post-doctoral research associates to develop parallel adaptive unstructured mesh technologies that will be applied in multiple areas of application including fusion modeling, computational fluid dynamics and others.
The successful candidates will develop and implement parallel algorithms that effectively operate on the current and future heterogeneous massively parallel computer systems to support unstructured mesh methods for particle-in-cell methods, mesh adaptation, simulation driven evolution of geometry and meshes over complex domains, etc. The successful candidates must be able to interact with faculty, research staff and students in the Scientific Computation Research Center. The successful candidates will also be required to interact with sponsors.
Qualifications
PhD in Engineering, Applied Mathematics, Computer/Computational Science, or related discipline.
Have expertise in a subset of the areas listed and be interested in working closely with others that provide expertise in the other areas:
-Unstructured meshing generation/adaptation technologies,
-Development and optimization of parallel Particle in Cell methods (PIC),
-Development of parallel unstructured simulation technologies.
-Experience in parallel programming and high performance computing.
-Good knowledge of FORTRAN, C and/or C++ programming languages and GNU/Linux operating system is required.
-Knowledge of modern software engineering tools will be considered favorably.
Close Date
Evaluation of applications will begin immediately and continue until the position is filled.
Contact
Interested applicants should send a copy of their latest CV with a cover letter or email, names of at least three references, and a summary of recent work and their source code from work in a related field (repositories in GitHub, Bitbucket, or GitLab are strongly preferred).  All applications should be submitted electronically and addressed to Prof. Mark Shephard (shephard@rpi.edu).
Contact information:
Prof. Mark Shephard
Scientific Computation Research Center
Department of Mechanical, Aerospace and Nuclear Engineering
Email: shephard@rpi.edu
 
Job Title: Post-Doctoral Research Associate
Link: Job Posting
Organization, Website, and Location
Scientific Computation Research Center http://www.scorec.rpi.edu
Rensselaer Polytechnic Institute, Troy, NY
Position Responsibilities
The Scientific Computation Research Center (www.scorec.rpi.edu) at Rensselaer is seeking a highly motivated individual to develop unstructured mesh based technologies, and associated software, to be applied to the modeling of fusion reactors. The successful candidates must be able to interact with faculty and students at Rensselaer as well as computational physicists and computer scientist at partner universities and DOE laboratories to advance fusion reactor plasma modeling codes.
Qualifications
PhD in Computational Physics, Computer/Computational Science, Applied Mathematics, or related engineering or science discipline.
Have expertise in a subset of the areas listed and interest in interacting closely with others that provide expertise in the other areas:
-Development and optimization of Particle in Cell methods (PIC),
-Simulation methods to model various fusion reactor physics including transient core plasma, boundary plasma facing components and/or coupling of RF power to fusion plasma, and/or
-Unstructured mesh technologies.Experience in parallel programming and high performance computing with emphasis on next generation HPC systems
-Good knowledge of FORTRAN, C and/or C++ programming languages and GNU/Linux operating system is required.
-Knowledge of modern software engineering tools will be considered favorably.
Close Date
Evaluation of applications will begin immediately and continue until the position is filled.
Contact
Interested applicants should send a copy of their latest CV with a cover letter or email, names of at least three references, and a summary of recent work and their source code from work in a related field (repositories in GitHub, Bitbucket, or GitLab are strongly preferred).  All applications should be submitted electronically and addressed to Prof. Mark Shephard (shephard@rpi.edu).
Contact information:
Prof. Mark Shephard
Scientific Computation Research Center
Department of Mechanical, Aerospace and Nuclear Engineering
Email: shephard@rpi.edu

 

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