Research Scientist

Required Qualifications: (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, TensorFlow, 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.

Preferred Qualifications:

● 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.

AMA27/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. AMA27/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 research computing.

Primary Purpose:

The Research Scientist will work with users across scientific disciplines, with particular emphasis on AI/ML workloads and research workflows. Responsibilities include:

● Work with researchers to develop, run, troubleshoot, and improve AI/ML, data science, and computational workflows.

● Teach users how to work with machine learning frameworks, GPU-enabled computing, reproducible software environments, and the supercomputing platform.

● Assist with model training and inference, data processing, software configuration, debugging, benchmarking, and performance analysis on HPC systems.

● Learn and apply SBSC tools and operational practices and follow applicable requirements for research activities and data management.

The role provides substantial hands-on work with modern AI/ML software stacks and large-scale computing in support of the national research community.

Job Duties:

● Support AI/ML and scientific applications on the supercomputing platform. Install and configure software, assist with model training and inference, debug problems, benchmark workloads, analyze performance, and help users make effective use of GPU and other accelerator resources.

● Work with faculty, researchers, students, and research-computing staff to develop and improve AI/ML, data science, and computational workflows. Assist with data preparation, reproducibility, scaling, and efficient use of shared computing resources.

● Provide user support and training through technical consultations, documentation, tutorials, office hours, workshops, and presentations. Teach researchers how to use AI/ML frameworks and research-computing tools effectively.

● Test, troubleshoot, and maintain research software environments, including machine learning libraries, containers, compilers, schedulers, and related tools. Develop and maintain technical documentation and web resources.

● Contribute to project coordination, reports, presentations, publications, and research or training proposals under the guidance of senior staff and faculty.

Special Notes:
The Research Foundation of SUNY is a private educational corporation. Employment is subject to the Research Foundation policies and procedures, sponsor guidelines and the availability of funding. FLSA Exempt position, not eligible for the overtime provisions of the FLSA. Minimum salary threshold must be met to maintain FLSA exemption.

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The starting salary range (or hiring range) to be offered for this position is noted below, it represents SBU’s good faith and reasonable estimate of the range of possible compensation at the time of posting.