Research Scientist

(as evidenced by an attached resume)

• Ph.D (or foreign equivalent) in computer science, computational science, data science, applied mathematics, engineering, physical or life sciences, or a closely related field.
• Three (3) years of research experience using computational, data-driven, or AI/ML methods, to include at least one year of research experience following attainment of a Doctoral degree or foreign equivalent.
• Hands‑on experience applying machine learning or artificial intelligence to research or technical problems, including model training, evaluation, or deployment.
• Programming experience in Python using scientific computing, data analysis, or machine learning libraries.
• Experience with at least one AI/ML framework or ecosystem, such as PyTorch, Tensor Flow, JAX, scikit-learn, Spark/MLlib, or Hugging Face.
• Experience with Linux-based research computing or high-performance computing, including command-line tools and batch or interactive workflows.
• Strong written and verbal communication skills and the ability to work with researchers across multiple disciplines.

• Familiarity with parallel or accelerator-based computing, including GPUs, distributed computing, MPI, OpenMP, CUDA, ROCm, or related technologies.
• Experience using GPUs or other accelerators for machine learning, deep learning, or scientific computing.
• Experience with generative AI or large language models, including deploying, running, or optimizing LLMs on local GPU or CPU hardware.
• Experience with distributed or multi‑GPU model training, inference, profiling, or performance optimization.
• Experience with programming in high-performance computing languages such as C, C++, or Fortran.
• Familiarity with research‑computing software and workflow tools such as Slurm, containers, Conda, or Spack.
• Experience with reproducible machine learning workflows, including data preparation, model training, evaluation, and management of software environments.
• Experience developing technical documentation, tutorials, workshops, or other training materials for researchers and students.
• Experience contributing to collaborative research projects, open-source software, publications, or research proposals.

The Institute for Advanced Computational Science (IACS) at Stony Brook University (SBU) is seeking an early‑career Research Scientist to join a new Tier‑1 supercomputing center funded by the National Science Foundation (NSF).

The IACS is an interdisciplinary research center at Stony Brook University focused on applying computational methods to address a variety of scientific questions. IACS provides computational infrastructure and technical expertise to researchers across the university and beyond.

AMA
27 /Kitsune, a new NSF-funded Tier‑1 supercomputing center, will support large‑scale research in artificial intelligence and machine learning, data science, computational physics, climate science, biomedical research, materials science, and other data‑and‑compute‑intensive fields. AMA
27/Kitsune will be a central resource of the Stony Brook Supercomputing Center (SBSC).

The Research Scientist will work with faculty, students, researchers, and research‑computing staff on AI/ML, data science, computational science, and computer science applications. The position is intended for an early‑career scientist who wants to develop deeper expertise in AI/ML and high‑performance computing while helping researchers run reliable and reproducible workflows on the supercomputing platform. All work must follow the policies and procedures of SBSC, IACS, Stony Brook University, and the National Science Foundation.

The position provides hands‑on experience with AI/ML software, GPU and high performance computing, and large‑scale…