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Software Engineering / Computer Science Undergraduate Internship - Mobile App Dev (310068)

Pacific Northwest National Laboratory (PNNL) is seeking ambitious, high caliber candidates for assignments within the National Security Internship Program (NSIP) for an Innovative Chemical-Biological Threat Reduction Mobile App Competition Internship.

PNNL will host a mobile application (app) development competition to foster novel and creative approaches for countering biological and chemical weapons of mass destruction (CWMD). Intern teams will be responsible for identifying the target user and usage scenarios, as well as design and develop the application. Interns will be encouraged to leverage and adapt existing algorithms, models, tools, and other methods to support the analytic needs of the target users. Over the course of the 10-week program, each intern team will develop and produce a fully functional, tactical decision support aid, Android application. The experience will include mentorship from various field-related experts along with networking and exposure to working in a national laboratory environment with governmental sponsors. At the conclusion of the program, a panel of domain experts will judge the intern apps and the winners will be awarded. The competition will be managed to provide both a positive educational experience for the interns as well as a high-quality software product.

PNNL will organize, provide support, and guidance for a solid design and implementation process. Teams will be chosen to contain a suitable representation of experience, including software engineering, Android development, human-computer interaction, data science, and mathematical modeling and simulation. Additionally, interns will exhibit a strong desire to work collaboratively in a team, think creatively, and effectively communicate and present their ideas.

Some information on previous competitions can be found here:
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6606130/
  • https://sinews.siam.org/Details-Page/convolutional-neural-networks-identify-illness-from-facial-photographs
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6606094/
  • https://www.dvidshub.net/publication/issues/41990
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6087951/
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6088072/
  • http://europepmc.org/articles/pmc5462221
  • http://www.pnnl.gov/news/release.aspx?id=1015
  • https://www.youtube.com/watch?v=HVIy1bWt29Y
  • http://news.iupui.edu/releases/2015/02/informatics-student-app-flu.shtml
  • http://jendownes.com/mozziemap
  • https://www.youtube.com/watch?v=ZCsiwI4uJ3g

The competition beginning on June 9, 2020.
Note: Based on performance and capabilities demonstrated during the summer competition, there may be an opportunity to participate in additional NSD CA Division projects post August 14, 2020.

*HOW TO APPLY*
In order to have a complete application package, the three (3) listed items below are required and must be uploaded correctly per the below instructions:

Combine the below into one (1) PDF document
  1. Current resume or CV
  2. Current unofficial transcript, cumulative GPA must be listed
  3. A 300-word essay describing your prior work, and how you see your skills fitting within the Innovative Chemical-Biological Threat Reduction Mobile App Competition.

When prompted to “Upload Resume” all documents listed above must be bundled into ONE-SINGLE PDF for resume upload.

If any one of the 3 components are not included in one-single PDF file, applications will be rejected and will no longer be considered. Electronic applications will be accepted until 11:59 p.m. (PST) on posting close date.

Minimum Qualifications
Candidates must be degree-seeking students enrolled at an accredited college or university. Candidates must be taking at least 6 credit hours and have an overall GPA of 3.3.
Candidates must be enrolled as a Senior status.
U.S. citizenship required.

Preferred Qualifications
  • Android application development
  • Software engineering / computer science
  • Data science / Machine Learning / Statistics
  • User Experience Design

Preferred Education
Currently enrolled in a program in: computer science, software engineering, data science, statistics, user experience design, HCI, or related fields.

Must be available during the full duration of the time period between June 9, 2020 through August 14, 2020.