The successful candidate contributes to applied nuclear and particle physics research leveraging machine learning and AI for data analysis and detector development, as well as exploratory work in ...
The successful candidate contributes to applied nuclear and particle physics research leveraging machine learning and AI for data analysis and detector development, as well as exploratory work in ...
AI Engineer
$55K - $187K/yr
... machine learning solutions - Conducting complex data analysis to identify patterns and trends for informed decision-making - Collaborating with internal teams to enhance data infrastructure and ...
New
AI Engineer
$55K - $187K/yr
... machine learning solutions - Conducting complex data analysis to identify patterns and trends for informed decision-making - Collaborating with internal teams to enhance data infrastructure and ...
New
... machine learning methods for background rejection, and place constraints on new physics using LZ datasets. In addition, the postdoc will lead the development of a dedicated testbed to advance dark ...
... machine learning methods for background rejection, and place constraints on new physics using LZ datasets. In addition, the postdoc will lead the development of a dedicated testbed to advance dark ...
Design, develop, and deploy machine learning, artificial intelligence, and advanced statistical ... informed outputs). Required Qualifications: * Must have an active Top-Secret security clearance and ...
Design, develop, and deploy machine learning, artificial intelligence, and advanced statistical ... informed outputs). Required Qualifications: * Must have an active Top-Secret security clearance and ...
AI Engineer
$50K - $112K/yr
... informed decision-making and driving business growth. Within our Internal Firm Services practice ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...
AI Engineer
$50K - $112K/yr
... informed decision-making and driving business growth. Within our Internal Firm Services practice ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...
Data Scientist Analyst
Indianapolis, IN · On-site +1
Requires a Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines and 1 or more years of experience ...
Data Scientist Analyst
Indianapolis, IN · On-site +1
Requires a Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines and 1 or more years of experience ...
Bachelor's degree linked to data analytics (e.g., math, physics, computer science) OR problem set ... Experience with machine learning frameworks like scikit-learn, TensorFlow, or PyTorch might be ...
Bachelor's degree linked to data analytics (e.g., math, physics, computer science) OR problem set ... Experience with machine learning frameworks like scikit-learn, TensorFlow, or PyTorch might be ...
Data Scientist Analyst
Indianapolis, IN · On-site
Requires a Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines and 1 or more years of experience ...
Data Scientist Analyst
Indianapolis, IN · On-site
Requires a Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines and 1 or more years of experience ...
Data Scientist Analyst
Indianapolis, IN · On-site +1
Requires a Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines and 1 or more years of experience ...
Data Scientist Analyst
Indianapolis, IN · On-site +1
Requires a Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines and 1 or more years of experience ...
Machine Operator
Indianapolis, IN · On-site
$15 - $17.75/hr
Participate in shift meetings and training sessions to stay informed about production requirements ... Comfort working with large, complex systems and learning new machinery. * Ability to collaborate ...
Quick apply
Machine Operator
Indianapolis, IN · On-site
$15 - $17.75/hr
Participate in shift meetings and training sessions to stay informed about production requirements ... Comfort working with large, complex systems and learning new machinery. * Ability to collaborate ...
Machine Operator
Indianapolis, IN · On-site
$15 - $17.75/hr
Participate in shift meetings and training sessions to stay informed about production requirements ... Comfort working with large, complex systems and learning new machinery. * Ability to collaborate ...
Quick apply
Machine Operator
Indianapolis, IN · On-site
$15 - $17.75/hr
Participate in shift meetings and training sessions to stay informed about production requirements ... Comfort working with large, complex systems and learning new machinery. * Ability to collaborate ...
CTIO AI Engineering Manager
Indianapolis, IN · On-site
$73K - $244K/yr
They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...
CTIO AI Engineering Manager
Indianapolis, IN · On-site
$73K - $244K/yr
They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...
Postdoctoral Fellow - AI/ML Upstream Cell Culture Modeling & Process Development
Indianapolis, IN · On-site
$46K - $63K/yr
The fellow will also explore the use of these models within real-time monitoring and control frameworks, and will leverage machine learning to enable earlier, model-informed decisions such as clone ...
Postdoctoral Fellow - AI/ML Upstream Cell Culture Modeling & Process Development
Indianapolis, IN · On-site
$46K - $63K/yr
The fellow will also explore the use of these models within real-time monitoring and control frameworks, and will leverage machine learning to enable earlier, model-informed decisions such as clone ...
The fellow will also explore the use of these models within real-time monitoring and control frameworks, and will leverage machine learning to enable earlier, model-informed decisions such as clone ...
The fellow will also explore the use of these models within real-time monitoring and control frameworks, and will leverage machine learning to enable earlier, model-informed decisions such as clone ...
AI Solutions Engineering Delivery Lead
$98K - $129K/yr
They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...
AI Solutions Engineering Delivery Lead
$98K - $129K/yr
They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...
Develop continuous learning channel to stay informed of advancements in select emerging technologies (e.g., IoT, AI, machine learning, robotics). Manage internal research and development activities ...
Develop continuous learning channel to stay informed of advancements in select emerging technologies (e.g., IoT, AI, machine learning, robotics). Manage internal research and development activities ...
Develop continuous learning channel to stay informed of advancements in select emerging technologies (e.g., IoT, AI, machine learning, robotics). Manage internal research and development activities ...
Develop continuous learning channel to stay informed of advancements in select emerging technologies (e.g., IoT, AI, machine learning, robotics). Manage internal research and development activities ...
Outreach Coordinator
West Lafayette, IN · On-site
You will guide the development of engaging, research-informed curriculum and coordinate a range of ... physics and astronomy topics and connect student learning to our faculty's world class research ...
Outreach Coordinator
West Lafayette, IN · On-site
You will guide the development of engaging, research-informed curriculum and coordinate a range of ... physics and astronomy topics and connect student learning to our faculty's world class research ...
... by informed analytics. Develop Dynamic Targeting & Machine Learning Strategy, and design and implement strategic brand and portfolio based customer insights across platforms in a unified user ...
... by informed analytics. Develop Dynamic Targeting & Machine Learning Strategy, and design and implement strategic brand and portfolio based customer insights across platforms in a unified user ...
Associate Director - Dynamic Targeting Insights Strategy & Execution (P4)
Indianapolis, IN · On-site
$112K - $149K/yr
... by informed analytics. Develop Dynamic Targeting & Machine Learning Strategy, and design and implement strategic brand and portfolio based customer insights across platforms in a unified user ...
Associate Director - Dynamic Targeting Insights Strategy & Execution (P4)
Indianapolis, IN · On-site
$112K - $149K/yr
... by informed analytics. Develop Dynamic Targeting & Machine Learning Strategy, and design and implement strategic brand and portfolio based customer insights across platforms in a unified user ...
Physics Informed Machine Learning information
What are the key skills and qualifications needed to thrive in the Physics Informed Machine Learning position, and why are they important?
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.
What are the typical challenges faced by professionals working in Physics Informed Machine Learning roles?
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.
What is a Physics Informed Machine Learning job?
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.
What are popular job titles related to Physics Informed Machine Learning jobs in Indiana? For Physics Informed Machine Learning jobs in Indiana, the most frequently searched job titles are:
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Full-time
Re-posted 20 days ago
Purdue University rating
7.5
Based on 136 frontline employees who took The Breakroom Quiz
306th of 614 rated colleges and universities
Job description
Post Doc Research Associate
City: West Lafayette
Job Description:
Job Summary
Postdoctoral Research Associate - Data-Driven Physics, ML/AI, and Advanced Detector R&D
The High Energy Physics Group at Purdue University invites applications for a Postdoctoral Research Associate to join an interdisciplinary research program at the intersection of data-intensive physics with nuclear/particle aspects, advanced detector R&D, machine learning and AI and emerging computational methods in quantum computing.
The position is intended for an excellent and broadly interested postdoctoral researcher with strong computational and data-analysis expertise who is interested in applied problems across experimental physics. The successful candidate contributes to applied nuclear and particle physics research leveraging machine learning and AI for data analysis and detector development, as well as exploratory work in quantum algorithms, depending on background and interests.
Core responsibilities and research directions include:
There is an optional opportunity to contribute a limited fraction of effort to research within the CMS experiment at CERN, particularly were expertise in ML/AI, data analysis, or detector-related topics can synergize with ongoing efforts.
The postdoctoral researcher will work in a collaborative environment, mentor graduate and undergraduate students as appropriate, and contribute to publications and future research proposals.
Qualifications
Ph.D. in experimental particle physics, nuclear physics, astrophysics, engineering, computer science, or a closely related field (by start date)
Strong background in data analysis, computing, and scientific programming
Demonstrated ability to conduct independent research
Experience with machine learning / AI is highly desirable
Prior exposure to nuclear physics data, detector systems, or scientific instrumentation is an advantage but not required
Interest in interdisciplinary research spanning physics, computation, and advanced instrumentation
Appointment & Environment
Initial appointment for one year, renewable subject to performance and funding
Competitive salary and full benefits
Access to extensive computational, laboratory, and detector-development resources
A collaborative research environment with strong ties to national laboratories, international experiments, and interdisciplinary AI initiatives at Purdue
Application Process
The position is available starting immediately and applications will be considered until the position is filled. The appointment is initially for one year and renewable annually, subject to mutual satisfaction. The position will be based in West Lafayette, IN, although travel to other locations is expected for a number of short trips per year and/or extended periods of time.
Applications should include a curriculum vitae, a list of publications, a description of research interests (2 pages), and three letters of recommendation. Complete applications will be considered immediately. Please apply to link: https://careers.purdue.edu/job/Post-Doc-Research-Associate/35390-en_US/.
For information about the position, please contact Prof. Andreas Jung (anjung@purdue.edu ).
City: West Lafayette
Job Description:
Job Summary
Postdoctoral Research Associate - Data-Driven Physics, ML/AI, and Advanced Detector R&D
The High Energy Physics Group at Purdue University invites applications for a Postdoctoral Research Associate to join an interdisciplinary research program at the intersection of data-intensive physics with nuclear/particle aspects, advanced detector R&D, machine learning and AI and emerging computational methods in quantum computing.
The position is intended for an excellent and broadly interested postdoctoral researcher with strong computational and data-analysis expertise who is interested in applied problems across experimental physics. The successful candidate contributes to applied nuclear and particle physics research leveraging machine learning and AI for data analysis and detector development, as well as exploratory work in quantum algorithms, depending on background and interests.
Core responsibilities and research directions include:
- Applied nuclear physics and spectroscopy, focusing on the analysis of data from photon spectrometer detectors recording nuclear collisions. A central component of this work is the development and application of machine-learning and AI techniques to identify weak, rare, or previously unknown nuclear transitions in complex spectral data.
- Advanced computational and data-science methods, including modern ML/AI workflows for pattern recognition, clustering, anomaly detection, and inference in large and noisy datasets. Exploratory work in quantum algorithms and quantum annealing for physics-driven optimization problems is also part of the research portfolio.
- Detector R&D for future facilities, leveraging Purdue's infrastructure for detector development. The group operates a center of excellence for composite manufacturing and simulation for detector mechanics and cooling, as well as in-house facilities for the design, development, and construction of silicon detectors.
There is an optional opportunity to contribute a limited fraction of effort to research within the CMS experiment at CERN, particularly were expertise in ML/AI, data analysis, or detector-related topics can synergize with ongoing efforts.
The postdoctoral researcher will work in a collaborative environment, mentor graduate and undergraduate students as appropriate, and contribute to publications and future research proposals.
Qualifications
Ph.D. in experimental particle physics, nuclear physics, astrophysics, engineering, computer science, or a closely related field (by start date)
Strong background in data analysis, computing, and scientific programming
Demonstrated ability to conduct independent research
Experience with machine learning / AI is highly desirable
Prior exposure to nuclear physics data, detector systems, or scientific instrumentation is an advantage but not required
Interest in interdisciplinary research spanning physics, computation, and advanced instrumentation
Appointment & Environment
Initial appointment for one year, renewable subject to performance and funding
Competitive salary and full benefits
Access to extensive computational, laboratory, and detector-development resources
A collaborative research environment with strong ties to national laboratories, international experiments, and interdisciplinary AI initiatives at Purdue
Application Process
The position is available starting immediately and applications will be considered until the position is filled. The appointment is initially for one year and renewable annually, subject to mutual satisfaction. The position will be based in West Lafayette, IN, although travel to other locations is expected for a number of short trips per year and/or extended periods of time.
Applications should include a curriculum vitae, a list of publications, a description of research interests (2 pages), and three letters of recommendation. Complete applications will be considered immediately. Please apply to link: https://careers.purdue.edu/job/Post-Doc-Research-Associate/35390-en_US/.
For information about the position, please contact Prof. Andreas Jung (anjung@purdue.edu ).
What Purdue University employees say
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About Purdue University
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Industry
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Company size
10,000+ Employees
Headquarters location
West Lafayette, IN, US
Year founded
1962