Research Computing Consultant II – AI & HPC.

Position Title

Research Computing Consultant II – AI & HPC

Hanover, NH – Hybrid available. Full‑time, 40 hours per week.

The Research Computing Consultant II (RCCII) – AI & HPC is a researcher‑facing facilitation specialist who partners with faculty and research teams to expand the adoption of artificial intelligence, high‑performance computing, and cloud‑based research tools across Dartmouth’s research enterprise. The role applies a data‑science lens to facilitation and outreach, helping faculty identify where AI and advanced computing can strengthen their workflows, and then supporting them in getting there through hands‑on guidance, workshops, documentation, and ongoing consultation.

This is an early‑career role designed for someone with genuine enthusiasm for emerging technologies and a talent for translating complex tools into practical, accessible knowledge for research communities. The right candidate will be energized by community engagement and education, motivated by helping others succeed with new tools, and comfortable working across a wide range of disciplines and technical backgrounds.

• AI and HPC Researcher Facilitation
  • Partners with faculty and research labs to assess computational and AI‑related needs and identify appropriate tools, platforms, and workflows suited to their research context.
  • Advises researchers on effective and responsible use of large language models, AI‑assisted analysis tools, and cloud‑based AI services in their research workflows.
  • Guides faculty and research teams in getting started with Dartmouth’s high‑performance computing environments, including account setup, job submission, resource selection, and basic troubleshooting.
  • Helps research teams identify when cloud computing platforms are appropriate alternatives or complements to on‑premise HPC, and supports onboarding to relevant cloud research environments.
  • Consults with researchers on responsible AI use, including awareness of limitations, reproducibility considerations, data privacy, and ethical dimensions of AI‑assisted research.
  • Collaborates with the Research Cyberinfrastructure and Research Software Engineering teams to communicate faculty needs and contribute to improved researcher experience on HPC and cloud platforms.
  • Supports Dartmouth‑affiliated research partnerships and enterprise collaborations by extending AI and HPC facilitation services as appropriate.
• Outreach, Education, and Community Engagement
  • Designs and delivers workshops, short courses, and training sessions covering AI tools for research, HPC usage, cloud computing, reproducible workflows, and related topics for faculty and research lab audiences.
  • Develops and maintains asynchronous learning resources including tutorials, how‑to guides, documentation, and reference materials that enable self‑directed researcher adoption of AI and HPC tools.
  • Hosts regular office hours and drop‑in consultation sessions to provide accessible, approachable support for researchers at all stages of AI and HPC adoption.
  • Proactively engages faculty and research labs across departments and disciplines to understand emerging needs and build awareness of available tools and services.
  • Evaluates emerging AI tools, models, and platforms relevant to academic research and communicates their potential value and limitations to the research community in accessible terms.
  • Contributes to the development of onboarding programs for new researchers joining Dartmouth’s computing ecosystem.
  • Represents the Research Computing and Data team at departmental meetings, research events, and relevant campus forums to build relationships and expand service visibility.
• Data Science and Research Lifecycle Support
  • Applies a data‑science perspective to facilitation work, helping researchers connect AI and HPC tools to their broader analytical and data‑management workflows.
  • Supports data organization, preprocessing, and structuring tasks to prepare research datasets for AI‑assisted or HPC‑accelerated analysis.
  • Contributes to the development of data visualizations and summary outputs that help research teams communicate findings and progress.
  • Provides guidance on…