Postdoctoral Scholar
University Park, PA · On-site
POSITION SPECIFICS Join a Dynamic Team Focused on Foundation AI modeling and Physics-Informed Machine Learning as a Postdoctoral Researcher at The Pennsylvania State University. The Pennsylvania ...
University Park, PA · On-site
POSITION SPECIFICS Join a Dynamic Team Focused on Foundation AI modeling and Physics-Informed Machine Learning as a Postdoctoral Researcher at The Pennsylvania State University. The Pennsylvania ...
University Park, PA · On-site
POSITION SPECIFICS Join a Dynamic Team Focused on Foundation AI modeling and Physics-Informed Machine Learning as a Postdoctoral Researcher at The Pennsylvania State University. The Pennsylvania ...
POSITION SPECIFICS Join a Dynamic Team Focused on Foundation AI modeling and Physics-Informed Machine Learning as a Postdoctoral Researcher at The Pennsylvania State University. The Pennsylvania ...
POSITION SPECIFICS Join a Dynamic Team Focused on Foundation AI modeling and Physics-Informed Machine Learning as a Postdoctoral Researcher at The Pennsylvania State University. The Pennsylvania ...
Bethlehem, PA · On-site
... Physics-informed machine learning and deep learning models for damage modeling and prediction and uncertainty quantification using multimodal geospatial datasets and numerical models. • Design and ...
Bethlehem, PA · On-site
... Physics-informed machine learning and deep learning models for damage modeling and prediction and uncertainty quantification using multimodal geospatial datasets and numerical models. • Design and ...
The core objective of this research is to advance physics-informed machine learning architectures to process complex, real-world geodetic and acoustic datasets for subsurface energy applications. The ...
The core objective of this research is to advance physics-informed machine learning architectures to process complex, real-world geodetic and acoustic datasets for subsurface energy applications. The ...
University Park, PA · On-site
The core objective of this research is to advance physics-informed machine learning architectures to process complex, real-world geodetic and acoustic datasets for subsurface energy applications. The ...
University Park, PA · On-site
The core objective of this research is to advance physics-informed machine learning architectures to process complex, real-world geodetic and acoustic datasets for subsurface energy applications. The ...
University Park, PA · On-site
... physics-informed machine learning, and digital twins to enhance engineering evaluation and control of the subsurface during characterization, drilling, stimulation, and/or production will be ...
University Park, PA · On-site
... physics-informed machine learning, and digital twins to enhance engineering evaluation and control of the subsurface during characterization, drilling, stimulation, and/or production will be ...
... physics-informed machine learning, and digital twins to enhance engineering evaluation and control of the subsurface during characterization, drilling, stimulation, and/or production will be ...
... physics-informed machine learning, and digital twins to enhance engineering evaluation and control of the subsurface during characterization, drilling, stimulation, and/or production will be ...
... data-informed decisions in predictive modeling to strategic execution. What You Can Expect ... Currently pursuing a PhD in Computer Science, Machine Learning, Statistics, Physics, Applied ...
... data-informed decisions in predictive modeling to strategic execution. What You Can Expect ... Currently pursuing a PhD in Computer Science, Machine Learning, Statistics, Physics, Applied ...
Pittsburgh, PA · On-site
$100K - $300K/yr
Experience with physics simulation engines and tools for training RL. * Deep understanding of state-of-the-art machine learning techniques and models. * Extensive industry experience with ...
Pittsburgh, PA · On-site
$100K - $300K/yr
Experience with physics simulation engines and tools for training RL. * Deep understanding of state-of-the-art machine learning techniques and models. * Extensive industry experience with ...
PhD in computer science, machine learning, mathematics, physics, statistics, or a related field * Strong track record of applying ML in academic or industry settings, with 5+ years of experience ...
PhD in computer science, machine learning, mathematics, physics, statistics, or a related field * Strong track record of applying ML in academic or industry settings, with 5+ years of experience ...
PhD in computer science, machine learning, mathematics, physics, statistics, or a related field * Strong track record of applying ML in academic or industry settings, with 5+ years of experience ...
PhD in computer science, machine learning, mathematics, physics, statistics, or a related field * Strong track record of applying ML in academic or industry settings, with 5+ years of experience ...
Pittsburgh, PA · On-site +1
$146K - $225K/yr
Experience mentoring and collaborating with others Education Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry ...
Quick apply
Pittsburgh, PA · On-site +1
$146K - $225K/yr
Experience mentoring and collaborating with others Education Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry ...
Philadelphia, PA · On-site
$49K - $67K/yr
... machine learning at scale to uncover actionable insights - driving data-informed decisions from ... physics, applied mathematics, or related fields * Exceptional newly minted PhDs or postdocs ...
Philadelphia, PA · On-site
$49K - $67K/yr
... machine learning at scale to uncover actionable insights - driving data-informed decisions from ... physics, applied mathematics, or related fields * Exceptional newly minted PhDs or postdocs ...
Candidates with expertise in machine learning applications for particle physics are strongly preferred. The initial appointment will be for one year starting in August 2026, with possible extensions ...
New
Candidates with expertise in machine learning applications for particle physics are strongly preferred. The initial appointment will be for one year starting in August 2026, with possible extensions ...
New
Pittsburgh, PA · On-site
Description The Department of Physics at Carnegie Mellon University (CMU) invites applications for ... We expect the successful candidate to work on the development of machine learning (ML) algorithms ...
Pittsburgh, PA · On-site
Description The Department of Physics at Carnegie Mellon University (CMU) invites applications for ... We expect the successful candidate to work on the development of machine learning (ML) algorithms ...
$61K - $100K/yr
... informed decision-making and driving business growth. Within our Risk Consulting practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning ...
$61K - $100K/yr
... informed decision-making and driving business growth. Within our Risk Consulting practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning ...
$45K - $51K/mo
Create and deliver learning experiences that support students in achieving the learning outcomes ... informed about emerging trends in education.9. Educational Technology: Effectively integrate ...
$45K - $51K/mo
Create and deliver learning experiences that support students in achieving the learning outcomes ... informed about emerging trends in education.9. Educational Technology: Effectively integrate ...
West Mifflin, PA · On-site
$45K - $51K/yr
Create and deliver learning experiences that support students in achieving the learning outcomes ... remain informed about emerging trends in education. 9. Educational Technology: Effectively ...
West Mifflin, PA · On-site
$45K - $51K/yr
Create and deliver learning experiences that support students in achieving the learning outcomes ... remain informed about emerging trends in education. 9. Educational Technology: Effectively ...
$45K - $51K/mo
Create and deliver learning experiences that support students in achieving the learning outcomes ... informed about emerging trends in education.9. Educational Technology: Effectively integrate ...
$45K - $51K/mo
Create and deliver learning experiences that support students in achieving the learning outcomes ... informed about emerging trends in education.9. Educational Technology: Effectively integrate ...
Machine Learning/Deep Learning techniques. Education and Experience: A PhD in physics, astronomy, or a closely related field must be completed before the position begins. Additional information:
Machine Learning/Deep Learning techniques. Education and Experience: A PhD in physics, astronomy, or a closely related field must be completed before the position begins. Additional information:
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.
Full-time
Posted 17 days ago
7.9
Based on 100 frontline employees who took The Breakroom Quiz
178th of 539 rated colleges and universities
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Sourced by ZipRecruiter
51 - 200 Employees
State College, PA, US
1988