Build physics-informed or data-driven models (e.g., neural networks) to capture pigment dynamics ... Familiarity with neural networks / machine learning for physical systems * Experience in force ...
Build physics-informed or data-driven models (e.g., neural networks) to capture pigment dynamics ... Familiarity with neural networks / machine learning for physical systems * Experience in force ...
(Senior) Scientist, Machine Learning
Cambridge, MA · On-site
$100K - $136.60K/yr
... informed modeling, thoughtful inductive bias design, and principled approaches to inverse problems ... Exposure to biology, chemistry, physics, or related sciences ABOUT FLAGSHIP PIONEERING Flagship ...
(Senior) Scientist, Machine Learning
Cambridge, MA · On-site
$100K - $136.60K/yr
... informed modeling, thoughtful inductive bias design, and principled approaches to inverse problems ... Exposure to biology, chemistry, physics, or related sciences ABOUT FLAGSHIP PIONEERING Flagship ...
(Senior) Scientist, Machine Learning
Cambridge, MA · On-site
$100K - $136.60K/yr
... informed modeling, thoughtful inductive bias design, and principled approaches to inverse problems ... Exposure to biology, chemistry, physics, or related sciences ABOUT FLAGSHIP PIONEERING Flagship ...
(Senior) Scientist, Machine Learning
Cambridge, MA · On-site
$100K - $136.60K/yr
... informed modeling, thoughtful inductive bias design, and principled approaches to inverse problems ... Exposure to biology, chemistry, physics, or related sciences ABOUT FLAGSHIP PIONEERING Flagship ...
Co-op in Applied Materials Research - Modeling & Pigment Dynamics C1HB
Billerica, MA · On-site
$28 - $40/hr
Build physics-informed or data-driven models (e.g., neural networks) to capture pigment dynamics ... Familiarity with neural networks / machine learning for physical systems * Experience in force ...
Co-op in Applied Materials Research - Modeling & Pigment Dynamics C1HB
Billerica, MA · On-site
$28 - $40/hr
Build physics-informed or data-driven models (e.g., neural networks) to capture pigment dynamics ... Familiarity with neural networks / machine learning for physical systems * Experience in force ...
Machine Learning Engineering Manager
$148.50K - $266.20K/yr
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 ...
Machine Learning Engineering Manager
$148.50K - $266.20K/yr
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 ...
Build physics-informed or data-driven models (e.g., neural networks) to capture pigment dynamics ... Familiarity with neural networks / machine learning for physical systems * Experience in force ...
Quick apply
Build physics-informed or data-driven models (e.g., neural networks) to capture pigment dynamics ... Familiarity with neural networks / machine learning for physical systems * Experience in force ...
Machine Learning Engineering Manager
Boston, MA · On-site
$148.50K - $266.20K/yr
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 ...
Machine Learning Engineering Manager
Boston, MA · On-site
$148.50K - $266.20K/yr
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 ...
Staff - Postdoctoral Research Fellow - AI for Science
Cambridge, MA · On-site +1
$135K - $170K/yr
Physics-constrained or physics-informed AI models for understanding and designing material ... Develop novel machine learning and AI methodologies for scientific discovery, modeling, and design
Staff - Postdoctoral Research Fellow - AI for Science
Cambridge, MA · On-site +1
$135K - $170K/yr
Physics-constrained or physics-informed AI models for understanding and designing material ... Develop novel machine learning and AI methodologies for scientific discovery, modeling, and design
Staff - Postdoctoral Research Fellow - AI for Science
Cambridge, MA · On-site +1
$135K - $170K/yr
Physics-constrained or physics-informed AI models for understanding and designing material ... Develop novel machine learning and AI methodologies for scientific discovery, modeling, and design
Quick apply
Staff - Postdoctoral Research Fellow - AI for Science
Cambridge, MA · On-site +1
$135K - $170K/yr
Physics-constrained or physics-informed AI models for understanding and designing material ... Develop novel machine learning and AI methodologies for scientific discovery, modeling, and design
Lead Research Scientist - Machine Learning
$174K - $220K/yr
... physics, and data science. We use our expertise and creativity to take innovative ideas from ... Experience adapting novel machine learning approaches (e.g., from academic literature) to new data ...
Lead Research Scientist - Machine Learning
$174K - $220K/yr
... physics, and data science. We use our expertise and creativity to take innovative ideas from ... Experience adapting novel machine learning approaches (e.g., from academic literature) to new data ...
Machine Learning Engineer II / Senior Machine Learning Engineer I, Physical Sciences
Cambridge, MA · On-site
$114.20K - $156.80K/yr
Your Impact at LILA This Machine Learning Engineer for the Physical Sciences team focuses on ... Exposure to scientific or engineering domains (materials, chemistry, physics) and related data ...
Machine Learning Engineer II / Senior Machine Learning Engineer I, Physical Sciences
Cambridge, MA · On-site
$114.20K - $156.80K/yr
Your Impact at LILA This Machine Learning Engineer for the Physical Sciences team focuses on ... Exposure to scientific or engineering domains (materials, chemistry, physics) and related data ...
Staff - Postdoctoral Research Fellow - AI for Science
Cambridge, MA · On-site
$135K - $170K/yr
Physics-constrained or physics-informed AI models for understanding and designing material ... Develop novel machine learning and AI methodologies for scientific discovery, modeling, and design
Staff - Postdoctoral Research Fellow - AI for Science
Cambridge, MA · On-site
$135K - $170K/yr
Physics-constrained or physics-informed AI models for understanding and designing material ... Develop novel machine learning and AI methodologies for scientific discovery, modeling, and design
PhD or MS in Machine Learning, Computer Science, Engineering, Physics, Chemistry, or a related quantitative discipline, or equivalent industry experience * 8+ years of experience applying machine ...
PhD or MS in Machine Learning, Computer Science, Engineering, Physics, Chemistry, or a related quantitative discipline, or equivalent industry experience * 8+ years of experience applying machine ...
PhD or MS in Machine Learning, Computer Science, Engineering, Physics, Chemistry, or a related quantitative discipline, or equivalent industry experience * 8+ years of experience applying machine ...
PhD or MS in Machine Learning, Computer Science, Engineering, Physics, Chemistry, or a related quantitative discipline, or equivalent industry experience * 8+ years of experience applying machine ...
PhD or MS in Machine Learning, Computer Science, Engineering, Physics, Chemistry, or a related quantitative discipline, or equivalent industry experience * 8+ years of experience applying machine ...
PhD or MS in Machine Learning, Computer Science, Engineering, Physics, Chemistry, or a related quantitative discipline, or equivalent industry experience * 8+ years of experience applying machine ...
PhD or MS in Machine Learning, Computer Science, Engineering, Physics, Chemistry, or a related quantitative discipline, or equivalent industry experience * 8+ years of experience applying machine ...
PhD or MS in Machine Learning, Computer Science, Engineering, Physics, Chemistry, or a related quantitative discipline, or equivalent industry experience * 8+ years of experience applying machine ...
Machine Learning Engineer
Boston, MA · On-site
Transform machine learning models into APIs to interact with other applications. * Use expert ... Staying Informed About Your Application: Due to the high volume of applications, we may not always ...
Machine Learning Engineer
Boston, MA · On-site
Transform machine learning models into APIs to interact with other applications. * Use expert ... Staying Informed About Your Application: Due to the high volume of applications, we may not always ...
Machine Learning Engineer
Boston, MA · On-site +1
Transform machine learning models into APIs to interact with other applications. * Use expert ... Staying Informed About Your Application: Due to the high volume of applications, we may not always ...
Machine Learning Engineer
Boston, MA · On-site +1
Transform machine learning models into APIs to interact with other applications. * Use expert ... Staying Informed About Your Application: Due to the high volume of applications, we may not always ...
Familiarity with machine learning approaches applied to physical simulations (e.g., surrogate models, neural operators, physics-informed neural networks), along with experience leveraging GPU ...
Familiarity with machine learning approaches applied to physical simulations (e.g., surrogate models, neural operators, physics-informed neural networks), along with experience leveraging GPU ...
Machine Learning Engineer
Cambridge, MA · On-site
$90K - $210K/yr
We are seeking a Machine Learning Engineer to join our team at MORSE. You will play a pivotal role ... D. in Computer Science, Computer Engineering, Data Science, Aerospace, Mathematics, Physics, or ...
Machine Learning Engineer
Cambridge, MA · On-site
$90K - $210K/yr
We are seeking a Machine Learning Engineer to join our team at MORSE. You will play a pivotal role ... D. in Computer Science, Computer Engineering, Data Science, Aerospace, Mathematics, Physics, or ...
Physics Informed Machine Learning information
See Boston, MA salary details
$5.75 - $7.74
0% of jobs
$7.74 - $9.73
0% of jobs
$9.73 - $11.73
0% of jobs
$11.73 - $13.72
24% of jobs
$13.82 is the 25th percentile. Wages below this are outliers.
$13.72 - $15.72
16% of jobs
$15.72 - $17.71
0% of jobs
$17.71 - $19.71
0% of jobs
$19.71 - $21.70
0% of jobs
$21.70 - $23.69
0% of jobs
The median wage is $24.17 / hr.
$23.69 - $25.69
40% of jobs
$25.69 - $27.68
19% of jobs
$5
$21
$27
How much do physics informed machine learning jobs pay per hour?
What is a Physics Informed Machine Learning job?
What are the key skills and qualifications needed to thrive in the Physics Informed Machine Learning position, and why are they important?
What are the typical challenges faced by professionals working in Physics Informed Machine Learning roles?
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$28 - $40/hr
Full-time
Medical, Vision, Retirement
Posted 19 days ago
Job description
Team up with the most innovative company where Imagination becomes reality! E Ink is the originator, pioneer, and commercial leader in ePaper technology. The Billerica Research & Development team is thriving and growing as we help develop products that are changing how people access information every day. We are seeking qualified candidates who are self-driven, looking to advance their career and become a high-impact player on a team.
Based on technology from MIT’s Media Lab, E Ink has transformed and defined the eReader market. Its Electrophoretic Display products make it the worldwide leader for ePaper. The Company’s corporate philosophy aims to deliver revolutionary products, user experiences and environmental benefits through advanced technology development.
Our diversity of people, backgrounds, experiences, thoughts and perspectives is fostered to create an inclusive work environment.
Our culture is built on value commitments to innovation, quality, results, integrity, community, people, and collaboration that fosters a strong employee engagement, teamwork, safety and wellness.
We’re looking for a Co-op in Applied Materials Research!
 About the Position:
This is a six-month co-op starting in July 2026 in the Research and Advanced Development group. The Co-op will work directly with our scientists and will have the opportunity to get substantial research experience and to work independently on projects.
In this role, the candidate will contribute to the development of a comprehensive, physics-informed model that captures the behavior of electrophoretic pigments in next-generation ePaper systems. The primary objective is to build models that approximate:
- The dynamics of pigment motion under applied electrical waveforms (voltage vs. time)
- The resulting optical properties across different particle configurations and device states
This work will involve combining coarse-grained modeling approaches with data-driven techniques, including neural networks, to bridge multiple length and time scales. The candidate will collaborate closely with scientists to integrate simulation, theory, and experimental validation.
Tasks will be varied and include opportunities to learn about encapsulation technologies, make/modify pigments and test some of the display components as well as work with the final devices using the latest E Ink technology.Â
The co-op must exhibit safe lab practices at all times and be capable of continuously learning new equipment and laboratory techniques.Â
 Responsibilities:
- Develop multiscale and coarse-grained models to describe pigment behavior in electrophoretic systems
- Build physics-informed or data-driven models (e.g., neural networks) to capture pigment dynamics under applied electric fields
- Perform force field parameterization and optimization for particle-level simulations
- Simulate and analyze electro-optical responses as a function of waveform and material properties
- Conduct wet chemistry experiments to formulate and encapsulate ink systems (coacervation, UV-curable polymers, etc.)
- Test electrical and electro-optical performance of polymers
- Organize chemical property data of materials and work with scientists to design and carry out experiments
- Document the results of project landmarks and deliver project presentations to a technical community
Qualifications:
- Student pursuing a Master’s or Ph.D. in Physics, Polymer Science, Chemical Engineering, Chemistry or Material Science
- Strong background in physics-based modeling and simulation
- Experience with coarse-graining or multiscale modeling techniques
- Familiarity with neural networks / machine learning for physical systems
- Experience in force field development or parameter optimization
- Strong data analysis and programming skills (e.g., with Python, MATLAB, or similar)
- Strong materials characterization and data analysis skills
- Good technical writing and oral communication skills
- Good organization skills and the capacity to manage own schedule
Preferences:
- Understanding of colloids, soft matter physics, and surface science
- Experience with electrokinetics, colloidal transport, or particle dynamics under external fields (electric, magnetic, or flow fields)
- Hands-on experience with wet lab experiments and materials characterization
- Familiarity with electro-optical measurements or display technologies
 Benefits:
- Medical coverage
- 3.08 hours of ITO (Intern time off) per payroll
- 401(k)
- Casual day to day work environment
E Ink is committed to a diverse and inclusive workforce. E Ink is an equal opportunity employer and does not discriminate on the basis of race, ethnicity, gender, identity, sexual orientation, veteran’s status, disability, age, or on any basis prohibited by federal and state law.
Salary Range Disclosure: The hourly pay range for this position is $28.00 to $40.00. The salary range for this position reflects a reasonable estimate at the time of posting and may vary based on factors such as experience, skills, education, certifications, and location.
About E Ink
Sourced by ZipRecruiter
Industry
Electrical equipment, appliance, and component manufacturing
Company size
51 - 200 Employees
Headquarters location
Billerica, MA, US
Year founded
1997