Application Deadline:  January 12, 2025 

Applications must be submitted in Zintellect. 

A complete application includes: 

1. Resume listing your relevant coursework and lab experience as well as all papers, presentations, or publications you may have authored or co-authored. Include any reprints or abstracts if they are available.
2. Transcripts verifying current enrollment in an undergraduate or graduate program at an accredited university or technical institute.  Original student copies are acceptable. 
3. Statement of Interest describing your scientific research experience including lab experience and relevant academic coursework. State how this experience intersects with your personal and professional goals.  
4. Three References formal reference forms are not required for the Summer Student Experience, but names and contact information for references must be provided.  During the review process, ARL Selecting Officials may contact references.

The goal of this project is to investigate approaches for a distributed data processing and analysis pipeline on High Performance Computing (HPC) resources. The specific focus will be on containerizing services, GPU utilization, and exploring persistently running services. The project entails familiarizing with the current software stack, workflows, and analytic models. The interns will conduct a survey of data science capabilities, understand the HPC domain, implement data science services in a tool stack, and evaluate usability on the HPC resources. This entails prototyping various configurations for scaling up analytical workflows on the HPC systems and evaluating the approaches for effectiveness and performance. The interns will evaluate both model performance and runtime performance and suggest recommendations for future directions with model design and tools deployment.

This internship will require extensive research be performed on analytics approaches and will require previous programming experience and the technical ability to quickly test and prototype applications. The intern will be in a unique position to collaborate with the DEVCOM ARL DSRC Data Science team, gaining exposure to a relevant Army use case for utilizing this technology and first-hand experience observing research and development for the Army. This project will provide the opportunity to experiment with state of the art data analysis, processing, and visualization tools on HPC resources. The internship will be a 10 week project where the intern researches capabilities, understands the HPC domain, and conducts experimentation and analysis.

Advisor Email: vincent.p.perry7.civ@army.mil

Sciences to enable and ensure secure resilient communication networks for distributed analytics in Multi-Domain Operations.

The DEVCOM Army Research Laboratory (ARL) Research Associateship Program (RAP) Summer Student Experience (SSE) is an educational program that allows undergraduate through PhD students and recent bachelor’s and master's degree graduates to participate in a paid research experience at a Department of Defense laboratory over the summer break.  Participants are paired with scientists and engineers at ARL who are helping to shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces future operational needs.  As a participant in the ARL-RAP SSE, you will be part of high priority research efforts that are broadly supported by 11 research competencies.  While ARL has identified several specific research topics, the opportunity for general research may also exist under each competency. 

The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Scientists and Engineers at the DEVCOM Army Research Laboratory (ARL) help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields such as: applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology, material science and technology, multifunctional technology, combustion processes, propulsion and flight physics, communication and networking, and computational and information sciences. 

ARL’s Army Research Directorate (ARD) focuses on exploiting concept development, discovery, technology development, and transition of the most promising disruptive science and technology to deliver to the Army fundamentally advantageous science-based capabilities through ARL's 11 research competencies. This intramural research directorate also manages the laboratory’s essential research programs, which are flagship research efforts focused on delivering defined outcomes.

• Aberdeen Proving Ground, Maryland (APG)

For questions about the Summer Student Experience Program, please email ARLFellowship@orau.org.

Preferred experience with Python, Linux, Data Science, and Machine Learning.

• Citizenship: LPR or U.S. Citizen
• Degree: High School Diploma/GED, Associate's Degree, Bachelor's Degree, Master's Degree, or Doctoral Degree received within the last 12 months or currently pursuing.
• Minimum Overall GPA: 2.50
• Academic Level(s): Associate’s Degree (Journeyman Fellow), Bachelor’s Degree (Journeyman Fellow), Master’s Degree (Journeyman Fellow), or Doctoral Degree (Postdoctoral Fellow).
• Discipline(s):
  • Computer, Information, and Data Sciences (17 )
• Age: Must be 18 years old by 5/1/2025