Bluestaq Summer Internship; NDSU
Listed on 2026-07-26
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Science
Data Scientist, Research Assistant/Associate
Bluestaq Summer Internship (NDSU)
Colorado Springs
Bluestaq Graduate Research Scholar — NDSU PartnershipFull-Ride M.S./Ph.D. Sponsorship + Paid Summer Internship (Colorado Springs, CO)
Bluestaq — a Colorado Springs leader in secure data ecosystems, graph technologies, natural language processing, and AI solutions for national security and defense customers, including the U.S. Space Force — is launching a full-ride graduate research sponsorship in partnership with North Dakota State University (NDSU). We are seeking motivated NDSU graduate students to conduct Bluestaq-defined research beginning Fall 2026, culminating in a paid summer internship at Bluestaq headquarters.
WhyThis Program Matters
This sponsorship connects academic research directly to national-security mission impact. As a Bluestaq Graduate Research Scholar, your work will:
- Advance real capabilities in LLMs, knowledge graphs, NLP, and agentic AI used by defense and national-security customers.
- Build a direct pipeline from sponsored academic research into hands-on delivery at Bluestaq.
- Position you as part of a select, founding cohort of scholars at the leading edge of applied AI research.
- Conduct Bluestaq-defined research in one or more of the following focus areas:
Large Language Models, Data Sourcing & Tagging, Knowledge Graph / Graph Store, Agentic AI, Natural Language Processing, and Prompt Engineering. - Work independently and with NDSU faculty advisors, with research direction and technical alignment provided by Bluestaq.
- Bring genuine intellectual curiosity — while projects are Bluestaq-defined, student interest and alignment are valued in shaping the work.
- Complete a paid summer internship as a direct continuation of your sponsored research, delivering immediate mission impact.
- Receive hands-on mentorship and real-world application experience in a fast-paced defense-tech environment.
- Full tuition, fees, stipend, and health insurance — funded for the complete duration of your M.S. or Ph.D. degree.
- Summer internship compensation:
- MS students: $28–35/hr ($1,120–$1,400/week at 40 hrs)
- PhD students: $34–42/hr ($1,360–$1,680/week at 40 hrs)
- Currently enrolled, or incoming, M.S. or Ph.D. student at North Dakota State University.
- Target disciplines:
Computer Science;
Electrical & Computer Engineering;
Industrial & Manufacturing Engineering;
Mechanical Engineering;
Software & Security Engineering (other aligned fields considered). - Strong academic record and genuine interest in applying AI/data to national-security challenges.
- Selected through a joint Bluestaq/NDSU review process; a Bluestaq technical representative serves on the selection committee alongside NDSU faculty.
- Enrollment in (or admission to) an M.S. or Ph.D. program at NDSU in a qualifying discipline is required.
U.S. citizenship is required, and candidates must be eligible to obtain and maintain a U.S. security clearance. Supervising faculty must also meet citizenship and clearance requirements, as sponsored work involves Controlled Unclassified Information (CUI) and pre-existing Bluestaq intellectual property.
Location- Academic-year research is based at NDSU (Fargo, ND); mandatory summer internship placement is on-site at Bluestaq HQ, Colorado Springs, CO.
- Fall 2026:
Research project begins. - Summer 2027:
Paid internship at Bluestaq HQ.
August 31st, 2026
Intellectual Property
This is a standard industry-sponsored research arrangement:
Bluestaq retains full ownership of all intellectual property developed under the sponsorship, consistent with students advancing the company's pre-existing IP portfolio.
Salary Range (CO)
$28 - $42 USD
Clearance Requirement:This position may require the ability to obtain a TS/SCI Clearance. To be eligible for a security clearance, U.S. citizenship is required, and an employee must agree to participate in a background screen and credit check. Eligibility for a TS/SCI Clearance will be assessed as part of the onboarding process or based on…
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