Job Description

Computational Scientist in Artificial Intelligence For Science (AI4Science)


US-NJ-Princeton



Job ID: 2025-20427

Type: Full-Time

# of Openings: 1

Category: Research and Laboratory



Overview

The Princeton Plasma Physics Laboratory (PPPL) seeks to fill a Computational Scientist in Artificial Intelligence For Science (AI4Science) position in the Computational Sciences Department. The successful candidate will establish and solicit long-term funding for a program focused on (a) foundational research in Artificial Intelligence and Machine Learning (AI/ML), and (b) application-oriented research in PPPL-relevant AI4Science topics. This is a leadership position that will target new initiatives in AI/ML that are being planned by the Department of Energy (DOE). The incumbent will develop a fast-paced AI/ML program strategically aligned with DOE and other Federal Agency goals, ensuring that the research program advances and fits within PPPL Annual Laboratory Plans (ALP) goals.

Artificial Intelligence for Science and Energy represents a fundamental change in the scientific enterprise and an opportunity to provide foundational capabilities upon which to broaden PPPL's mission. The incumbent will build new capabilities in the Computational Sciences Department to leverage this once-in-a-generation opportunity to build an AI4Science research program at PPPL. Specifically, the incumbent will address the emerging need for AI/ML in fusion, other areas of plasma physics, and computational sciences. In addition, the incumbent will work with CSD Leadership to make key hires, build core research capabilities (including training of existing staff), and design a research program to discover new methods in data assimilation, experimental prediction, control systems, and solutions to partial differential equations.

To establish and solicit long-term funding for a program focused on (a) foundational research in Artificial Intelligence and Machine Learning (AI/ML), and (b) application-oriented research in PPPL-relevant AI4Science topics.

The Computational Sciences Department at PPPL was formed to provide a focus for computational physics and engineering. We specialize in algorithms and applied mathematics, data science and learning, high-performance computing, multiscale integrated modeling, and software technology. While our current strengths reflect the traditional focus of the Laboratory on magnetic confinement fusion (MCF), with funding from the Department of Energy's offices of Fusion Energy Sciences and the Advanced Scientific Computing Research, PPPL has always had a broad and healthy research program in areas other than MCF, including developing the theoretical and computational foundations of the dynamics and thermodynamics of naturally occurring plasmas, and more recently, in AI/ML and AI4Science.

The successful candidate will help develop the laboratory's effort in AI/ML and AI4Science, coll aborating with CSD leadership and other laboratory divisions. The candidate will help establish partnerships with Princeton University and other DOE National Laboratories. The candidate will assist in recruiting new team members, seek and secure funds to support the laboratory team, and present and publish original research in this general area. The present position comes with steady-state funding for three years.

We are looking for candidates who can build a strong research program in one or more of the following topics:

1. Machine Learning for Digital Twins, Foundation Models, and surrogates (surrogate model building from our suite of fusion codes, new optimization techniques, and differentiable programming).
2. Inference tools for interpretive analysis of experimental and simulation data.
3. Foundational research in Machine Learning for partial differential equations (PDEs).
4. Innovative algorithmic and methodological approaches to AI-augmented HPC application acceleration.
5. Advanced systems and software for AI-augmented High-Performance Computing at scale.
6. Machine-learning-driven control systems control large and complex experiments in real-time,to avoid dangerous conditions (disruption avoidance) using feedback systems.

This position requires building close collaboration with CSD Leadership, PPPL experimentists, the PPPL Theory Department, and Princeton University researchers.

A proud U.S. Department of Energy National Laboratory managed by Princeton University, Princeton Plasma Physics Laboratory (PPPL) is a longstanding leader in the science and innovation behind the development of fusion energy a clean, safe, and virtually limitless energy source. With an eye on the future and in response to national priorities, PPPL also has begun a strategic shift from a singular focus on fusion energy to a multi-focus approach that includes microelectronics, quantum information science, and sustainability science. Whether it be through science, engineering, technology or professional services, every team member has an opportunity to make their mark on our world. Come join us!

Responsibilities

Core Duties:

• 50% - Delivering on projects (A.I. research).
• 30% - Defined research.
• 20% - Writing proposal building critical mass.

Qualifications

Education and Experience:

• Ph.D. in Computer Science, Mathematics, Applied Mathematics, or a related field with core training in foundational applied aspects of AI/ML.

• Minimum 5 years of professional experience in an academic, scientific, or RD environment.

• A proven track record of publishing original results in peer-reviewed scientific journals.

• Demonstrated scientific leadership and collaboration experience.

Working Conditions:

• Day shift, on-site.

Princeton University is an Equal Opportunity/Affirmative Action Employer - and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. KNOW YOUR RIGHTS -

Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from participation in certain foreign government talent recruitment programs. All PPPL employees are required to disclose any participation in a foreign government talent recruitment program and may be required to withdraw from such programs to remain employed under the DOE Contract.

PI260886126

About Princeton University

Princeton University is a vibrant community of scholarship and learning that stands in the nation's service and in the service of all nations. Chartered in 1746, Princeton is the fourth-oldest college in the United States. Princeton is an independent, coeducational, nondenominational institution that provides undergraduate and graduate instruction in the humanities, social sciences, natural sciences and engineering.As a world-renowned research university, Princeton seeks to achieve the highest levels of distinction in the discovery and transmission of knowledge and understanding. At the same time, Princeton is distinctive among research universities in its commitment to undergraduate teaching.Today, more than 1,100 faculty members instruct approximately 5,200 undergraduate students and 2,600 graduate students. The University's generous financial aid program ensures that talented students from all economic backgrounds can afford a Princeton education.

Connections working at Princeton University

Job Tags

Full time, Contract work, For contractors, Shift work, Day shift,

Similar Jobs