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[SC2 Jobs] Research Application Specialist Intermediate/Associate at the University of Michigan

By | SC2 jobs

Job Description

Advanced Research Computing – Technology Services (ARC-TS) has an exciting opportunity for those who wish to impact our world through science and research by use of computational tools such as scientific computing, High Performance Computing (HPC), Big Data (Hadoop, Spark, DBMS, etc), Machine Learning, cloud computing services (AWS, Azure, GCP) and more.

Your position will be part of a team supporting all University-wide ARC-TS services as well as national services such as NSF XSEDE.  Your primary responsibilities will be to build and install open-source and commercial software, as well as to provide support to users doing the same.  Other responsibilities will include making presentations and providing training to users, writing internal and user documentation and outreach

For more information, see the job posting here.

Requirements

  • Bachelor’s degree in computer science, engineering or an equivalent combination of education and experience
  • Strong Linux command line skills
  • Two (2) or more years of experience providing IT support or working in an academic, research or scientific focused environment
  • Basic understanding of building code from source on Linux systems using common tools such as autoconf, Cmake and others
  • Demonstrated ability:
    • to debug compiling and linking issues related to includes, libraries or makefiles
    • with bash shell scripting and one (1) of Perl, Python or Ruby
    • to communicate technical concepts effectively via email, letters and in person to teams and customers

Location

University of Michigan

Dates

This is a full-time; term-limited position ending after three (3) years with the intent to re-evaluate for potential extension.

Application Link

http://careers.umich.edu/job_detail/161555/research_application_specialist_intermediate_associate

[SC2 Jobs] The Science, Mathematics And Research for Transformation (SMART) Scholarship for Service Program

By | SC2 jobs

Fellowship Description

The Science, Mathematics And Research for Transformation (SMART) Scholarship for Service Program is an opportunity for students pursuing an undergraduate or graduate degree in Science, Technology, Engineering, and Mathematics (STEM) disciplines to receive a full scholarship and be gainfully employed by the Department of Defense (DoD) upon degree completion.

Applicants MUST be pursuing a technical degree in one of the 21 STEM disciplines listed here. SMART will not fund any management or non-technical degrees. Students pursuing technical degrees related to the following are encouraged to apply:

Requirements

  • citizen of the United States, Australia, Canada, New Zealand, or United Kingdom at time of application,
  • 18 years of age or older as of August 1, 2019
  • able to participate in summer internships at a DoD facility,
  • willing to accept post-graduate employment with the DoD,
  • a student in good standing with a minimum cumulative GPA of 3.0 on a 4.0 scale
  • pursuing a technical undergraduate or graduate degree in one of the disciplines listed on the About SMART page.

Application Due Date

All applicants are required to submit applications online by December 1, 2018 at 5:00 PM EST. All supporting materials must be received by December 1, 2018 at 5:00 PM EST.

Application Link/More Information

https://smartscholarshipprod.service-now.com/smart id=kb_article&sys_id=0383c5d6db2a03006bb8f4b40f961956

New course for fall 2018: On-Ramp to Data Science for Chemical Engineers

By | Educational, General Interest, Happenings, News

Description: Engineers are encountering and generating a ever-growing body of data and recognizing the utility of applying data science (DataSci) approaches to extract knowledge from that data. A common barrier to learning DataSci is the stack of prerequisite courses that cannot fit into the typical engineering student schedule. This class will remove this barrier by, in one semester, covering essential foundational concepts that are not part of many engineering disciplines’ core curricula. These include: good programming practices, data structures, linear algebra, numerical methods, algorithms, probability, and statistics. The class’s focus will be on how these topics relate to data science and to provide context for further self-study.

Eligibility: College of Engineering students, pending instructor approval.

More information: http://myumi.ch/LzqPq

Instructor: Heather Mayes, Assistant Professor, Chemical Engineering, hbmayes@umich.edu.