Research Scientist

Stony Brook University

Stony Brook (NY)

On-site

USD 74,000 - 96,000

Full time

19 hours ago

Be an early applicant

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Job summary

The Institute for Advanced Computational Science (IACS) at Stony Brook University seeks an early‑career Research Scientist to join a NSF‑funded Tier‑1 center. Work across AI/ML, data science, computational science, and CS applications with researchers and SBSC staff to run reliable workflows on supercomputing platforms.

You will develop, optimize and scale AI/ML workloads, teach reproducible environments, and contribute to training materials and proposals.

Qualifications

Ph.D. in computer science, computational science, data science, applied mathematics, engineering, physical or life sciences or related field.
At least three years of research using computational, data-driven, or AI/ML methods, including after PhD.
Hands-on AI/ML experience with model training, evaluation or deployment.
Proficiency in Python with scientific computing or ML libraries.
Experience with at least one AI/ML framework (e.g., PyTorch, TensorFlow, JAX, scikit-learn, Spark/MLlib, or Hugging Face).
Experience on Linux-based HPC systems, with command-line tools and batch/invoked workflows.
Strong written and verbal communication and cross-disciplinary collaboration.

Responsibilities

Develop, run and improve AI/ML, data science, and computational workflows with researchers.
Teach users to work with ML frameworks, GPU computing, reproducible software environments, and SBSC platforms.
Assist with model training, inference, data processing, debugging, benchmarking, and performance analysis on HPC systems.
Create and maintain technical docs, tutorials, and web resources; follow SBSC/IACS policies.

Skills

AI/ML research experience

Python programming

Linux HPC

Strong communication

Experience with AI/ML frameworks

Education

Ph.D. in CS or related field

Tools

PyTorch

TensorFlow

JAX

scikit-learn

Spark/MLlib

Hugging Face

Slurm

Containers

Conda

Spack

Job description

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.

For this position, we are unable to sponsor candidates for work visas.

Stony Brook University is committed to excellence in the creation of an inclusive learning and working environment.

All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, familial status, sexual orientation, gender identity or expression, age, disability, genetic information, veteran status, and all other protected classes under federal or state laws.

Stony Brook University is dedicated to providing equal employment opportunities to all applicants, including individuals with disabilities.

If you require a reasonable accommodation to participate in the application, interview, or hiring process, please request one by contacting oea_ada@stonybrook.edu .

We will consider accommodation requests in compliance with applicable laws.

This process is independent and does not require any voluntary self‑identification of disability status.

Please include the position title and position number (if known) in your message .

In accordance with the Title II Crime Awareness and Security Act a copy of our crime statistics can be viewed here.

Visit our WHY WORK HERE page to learn about the total rewards we offer.

SUNY Research Foundation: A Great Place to Work.

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.

Job Field

Research Professional / Technical

Primary Location

US-NY-Stony Brook

Schedule

Full‑time

Posting Start Date

Oct 30, 2026

Posting End Date

Nov 30, 2026, 4:59:00 AM

Salary

$74,000-$96,000