Princeton, NJ · On-site
... physics informed machine learning, and generative embodied AI, among others. Publishing is an integral part of our activities as a means for calibrating the quality of the research and to ensure ...
Princeton, NJ · On-site
... physics informed machine learning, and generative embodied AI, among others. Publishing is an integral part of our activities as a means for calibrating the quality of the research and to ensure ...
Harrisonville, NJ · On-site +1
$103K - $142K/yr
The team combines machine learning, data engineering, and scientific modeling to create adaptive ... Knowledge of physics-informed or hybrid ML approaches * Familiarity with uncertainty estimation ...
Harrisonville, NJ · On-site +1
$103K - $142K/yr
The team combines machine learning, data engineering, and scientific modeling to create adaptive ... Knowledge of physics-informed or hybrid ML approaches * Familiarity with uncertainty estimation ...
... science, physics-informed modeling, and software development. You'll work closely with domain ... About the Role As a Senior Applied Machine Learning Engineer , you will design, implement, and ...
... science, physics-informed modeling, and software development. You'll work closely with domain ... About the Role As a Senior Applied Machine Learning Engineer , you will design, implement, and ...
Harrisonville, NJ · On-site
$103K - $142K/yr
... machine learning, generative AI into Keysight's test, measurement, and design solutions. Our ... science, physics-informed modeling, and software development. You'll work closely with domain ...
Harrisonville, NJ · On-site
$103K - $142K/yr
... machine learning, generative AI into Keysight's test, measurement, and design solutions. Our ... science, physics-informed modeling, and software development. You'll work closely with domain ...
Create processes that make gathering and processing large batches of geometry, physics, and design workflow data more automated and frictionless Minimum Qualifications * MS in Machine Learning ...
Create processes that make gathering and processing large batches of geometry, physics, and design workflow data more automated and frictionless Minimum Qualifications * MS in Machine Learning ...
Princeton, NJ · On-site
$163K - $261K/yr
Machine Learning for Digital Twins, Foundation Models, and surrogates. * Inference tools for ... the Princeton Plasma Physics Laboratory (PPPL) is tackling the world's toughest science and ...
Princeton, NJ · On-site
$163K - $261K/yr
Machine Learning for Digital Twins, Foundation Models, and surrogates. * Inference tools for ... the Princeton Plasma Physics Laboratory (PPPL) is tackling the world's toughest science and ...
Harrisonville, NJ · On-site
$113K - $156K/yr
... machine learning, generative AI into Keysight's test, measurement, and design solutions. Our ... science, physics-informed modeling, and software development. You'll work closely with domain ...
Harrisonville, NJ · On-site
$113K - $156K/yr
... machine learning, generative AI into Keysight's test, measurement, and design solutions. Our ... science, physics-informed modeling, and software development. You'll work closely with domain ...
Jersey City, NJ · On-site
Create a positive and inclusive learning environment that encourages student participation and ... Communicate regularly with students, parents, and colleagues to keep them informed about student ...
Jersey City, NJ · On-site
Create a positive and inclusive learning environment that encourages student participation and ... Communicate regularly with students, parents, and colleagues to keep them informed about student ...
Florham Park, NJ · On-site
$77K - $202K/yr
... Agentic AI and Machine Learning Developer- Senior Associate, you will play a pivotal role in ... informed decision-making and driving business growth. Within our Risk Consulting practice, you will ...
Florham Park, NJ · On-site
$77K - $202K/yr
... Agentic AI and Machine Learning Developer- Senior Associate, you will play a pivotal role in ... informed decision-making and driving business growth. Within our Risk Consulting practice, you will ...
... machine learning (ML) techniques, and statistical analysis to ... enhance informed decision-making and improve workflow efficiency, which can be utilized across ...
... machine learning (ML) techniques, and statistical analysis to ... enhance informed decision-making and improve workflow efficiency, which can be utilized across ...
Create a positive and inclusive learning environment that encourages student participation and ... Communicate regularly with students, parents, and colleagues to keep them informed about student ...
Create a positive and inclusive learning environment that encourages student participation and ... Communicate regularly with students, parents, and colleagues to keep them informed about student ...
Newark, NJ · On-site
Salary: Teacher Physics MISSION: The mission of Marion P. Thomas Charter School is to build ... Keep parents informed about the learning of their children, and be proactive in communication with ...
Quick apply
Newark, NJ · On-site
Salary: Teacher Physics MISSION: The mission of Marion P. Thomas Charter School is to build ... Keep parents informed about the learning of their children, and be proactive in communication with ...
Newark, NJ · On-site
$68K - $95K/yr
Teacher Physics MISSION: The mission of Marion P. Thomas Charter School is to build culturally rich ... Keep parents informed about the learning of their children, and be proactive in communication with ...
Newark, NJ · On-site
$68K - $95K/yr
Teacher Physics MISSION: The mission of Marion P. Thomas Charter School is to build culturally rich ... Keep parents informed about the learning of their children, and be proactive in communication with ...
... machine learning, generative AI into Keysight's test, measurement, and design solutions. Our ... science, physics-informed modeling, and software development. You'll work closely with domain ...
... machine learning, generative AI into Keysight's test, measurement, and design solutions. Our ... science, physics-informed modeling, and software development. You'll work closely with domain ...
Newark, NJ · On-site
$68K - $95K/yr
Teacher Physics MISSION: The mission of Marion P. Thomas Charter School is to build culturally rich ... Keep parents informed about the learning of their children, and be proactive in communication with ...
Newark, NJ · On-site
$68K - $95K/yr
Teacher Physics MISSION: The mission of Marion P. Thomas Charter School is to build culturally rich ... Keep parents informed about the learning of their children, and be proactive in communication with ...
Harrisonville, NJ · On-site
$128K - $174K/yr
Strong foundations in applied machine learning and data-driven modeling. * Experience developing ML models for engineering, physics-based, signal-processing, or scientific domains . * Solid ...
Harrisonville, NJ · On-site
$128K - $174K/yr
Strong foundations in applied machine learning and data-driven modeling. * Experience developing ML models for engineering, physics-based, signal-processing, or scientific domains . * Solid ...
Experience with machine learning and surrogate modelling frameworks (e.g.scikit-learn, TensorFlow ... Game-engine physics: Unreal Engine, PhysX, Unity * Computational fluid dynamics: ANSYS Fluent ...
Experience with machine learning and surrogate modelling frameworks (e.g.scikit-learn, TensorFlow ... Game-engine physics: Unreal Engine, PhysX, Unity * Computational fluid dynamics: ANSYS Fluent ...
... to make informed decisions based on scientific fact, leading to better educated citizens and ... learning. The department of physical sciences supports Bergen's assessment activities, the Emil ...
Quick apply
... to make informed decisions based on scientific fact, leading to better educated citizens and ... learning. The department of physical sciences supports Bergen's assessment activities, the Emil ...
Experience with machine learning and surrogate modelling frameworks (e.g. scikit-learn, TensorFlow ... Game-engine physics: Unreal Engine, PhysX, Unity * Computational fluid dynamics: ANSYS Fluent ...
Experience with machine learning and surrogate modelling frameworks (e.g. scikit-learn, TensorFlow ... Game-engine physics: Unreal Engine, PhysX, Unity * Computational fluid dynamics: ANSYS Fluent ...
Apply large language models (LLMs), machine learning (ML) techniques, and statistical analysis to enhance informed decision-making and improve workflow efficiency, which can be utilized across ...
Apply large language models (LLMs), machine learning (ML) techniques, and statistical analysis to enhance informed decision-making and improve workflow efficiency, which can be utilized across ...
To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.
Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.
A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.
Other
Posted 13 days ago
The Machine Learning Department invites applications for winter, summer, and fall 2026 internships. We have research projects covering many areas of machine learning. The internship will involve research and development of novel machine learning algorithms with applications in multimodal Large Language Models, AI for Science, real-time awareness, and healthcare.
Our internships normally result in high-quality publications (https://www.nec-labs.com/research/machine-learning/publications). Minimum duration of the internships is usually 3 months, and the exact dates are flexible. We conduct research on various aspects of machine intelligence and reasoning, from the exploration of theoretical machine learning and new algorithms to applications in computer vision for real-time awareness and industrial digital twin, natural language understanding, and AI for Science
Ongoing projects focus on multimodal reasoning and planning, multimodal LLM, agentic generative AI, structured AI, workflow AI, AI safety, physics informed machine learning, and generative embodied AI, among others. Publishing is an integral part of our activities as a means for calibrating the quality of the research and to ensure staying at the forefront of technology. Application projects emphasize technologies that solve real world problems, and many of our research results have been and will be transferred into industry products.
