Research Scientist

Stony Brook

Stony Brook (NY)

On-site

USD 95,000 - 130,000

Full time

11 hours ago
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Job summary

Stony Brook University’s Institute for Advanced Computational Science seeks a Research Scientist to advance AI/ML and data science workloads on the SBSC platform. You will collaborate with faculty, students, researchers, and staff to develop scalable workflows and reproducible software environments for large-scale computing.

The role emphasizes hands-on experience with AI/ML software, GPUs, and HPC, while providing opportunities to contribute to training materials and research proposals.

Qualifications

  • Ph.D. in computer science, computational science, data science, applied mathematics, engineering or related field.
  • Three (3) years of research experience using computational, data-driven, or AI/ML methods, including at least one year post-PhD.
  • Hands-on experience applying machine learning or AI to research or technical problems, including model training, evaluation or deployment.
  • Python programming with scientific computing, data analysis, or ML libraries.
  • Experience with AI/ML frameworks such as PyTorch, TensorFlow, JAX, scikit-learn, Spark/MLlib, or Hugging Face.
  • Experience with Linux-based research computing or HPC, including command-line tools and batch or interactive workflows.
  • Strong written and verbal communication skills and ability to collaborate across disciplines.

Responsibilities

  • Develop and improve AI/ML, data science, and computational workflows with researchers.
  • Teach users how to use ML frameworks, GPU-enabled computing, reproducible 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 data management policies and procedures.
  • Contribute to project coordination, reports, presentations, publications, and research or training proposals under senior staff guidance.
  • Support AI/ML and scientific applications on the supercomputing platform; install and configure software; assist with training and benchmarking.

Skills

Research experience
Python programming
ML & AI methods
Science communication

Education

Ph.D. in a relevant field

Tools

PyTorch
TensorFlow
JAX
scikit-learn
Spark/MLlib
Hugging Face
Slurm
Conda
Spack

Job description

Job Description - Research Scientist (2604080)

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 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.
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.

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 Number:

2604080

Official Job Title : Research Scientist

Job Field

Research Professional / Technical

Primary Location

Department/Hiring Area : Institute for Advanced Computational Science

Schedule

Full-time

Shift

Day Shift

Shift Hours : 9:00 am - 5:00 pm

Posting Start Date

Oct 30, 2026

Posting End Date

Appointment Type : Regular

Salary Grade : E89

SBU Area : The Research Foundation for The State University of New York at Stony Brook

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