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Physics Informed Neural Networks Jobs in Raleigh, NC

NCSU

Assistant Research Professor

Raleigh, NC

... physics; core areas of applied mathematics, including matrix analysis, numerical analysis ... Design interpretable dynamical systems frameworks using biologically informed neural networks ...

Collibra

Senior AI Engineer

Raleigh, NC · Hybrid

$101.60K - $139.50K/yr

... informed, data-driven decision making. We seek someone excited about working with cutting-edge ... neural networks, recommendation engines) * Experience with SQL and relational databases, query ...

Collibra

Senior AI Engineer

Raleigh, NC · On-site

$101.60K - $139.50K/yr

... informed, data-driven decision making. We seek someone excited about working with cutting-edge ... neural networks, recommendation engines) * Experience with SQL and relational databases, query ...

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How much do physics informed neural networks jobs pay per hour?

As of May 31, 2026, the average hourly pay for physics informed neural networks in Raleigh, NC is $19.50, according to ZipRecruiter salary data. Most workers in this role earn between $12.16 and $24.76 per hour, depending on experience, location, and employer.

What is a Physics Informed Neural Networks job?

A Physics Informed Neural Networks (PINNs) job typically involves developing and applying neural networks that incorporate physical laws as constraints to solve complex scientific and engineering problems. Professionals in this field work on integrating differential equations into deep learning models to improve predictions and reduce the need for large training datasets. These roles are common in fields like fluid dynamics, material science, and climate modeling, where traditional computational methods can be expensive. Individuals in this role often have expertise in machine learning, numerical methods, and domain-specific physics.

What are the key skills and qualifications needed to thrive in the Physics Informed Neural Networks position, and why are they important?

To thrive in Physics Informed Neural Networks (PINNs), you need a strong background in physics, mathematics, and deep learning frameworks, typically evidenced by advanced degrees in physics, applied mathematics, computer science, or engineering. Experience with programming languages such as Python, and familiarity with libraries like TensorFlow or PyTorch, as well as experience in numerical simulation tools, are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help professionals excel in multidisciplinary teams. These qualifications and soft skills are essential for developing accurate, interpretable models that integrate scientific knowledge with machine learning to solve complex real-world problems.

What are the typical daily tasks involved in a Physics Informed Neural Networks position?

In a Physics Informed Neural Networks role, your daily tasks will often include designing, building, and testing neural network architectures that incorporate physical laws and constraints. You will frequently collaborate with domain experts, such as physicists or engineers, to integrate scientific knowledge into machine learning models and validate the results with real-world data. Regular responsibilities also involve coding, running experiments, analyzing results, and documenting findings for presentation or publication. This collaborative and research-driven environment helps ensure that models are both accurate and physically consistent, and offers opportunities for interdisciplinary learning and skill advancement.
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Assistant Research Professor

Assistant Research Professor

NCSU

Raleigh, NC

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

North Carolina State University rating

6.8

Company rating: 6.8 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

382nd of 530 rated colleges and universities

Job description

Posting Information
Posting Number PG194664EP Internal Recruitment No Working Title Assistant Research Professor Anticipated Hiring Range $70,000 Work Schedule M-F 8 to 5 varies Job Location Raleigh, NC Department Mathematics About the Department
In the Department of Mathematics at NC State University, a long tradition of excellent teaching and a supportive environment for students are paired with cutting-edge research across a broad spectrum of mathematics and its applications. Many members of the department participate in interdisciplinary programs and research groups on campus and in the broader Research Triangle community.
Research strengths of the Department include the core mathematical areas of algebra, topology, and geometry, especially their connections to combinatorics, symbolic computation, and mathematical physics; core areas of applied mathematics, including matrix analysis, numerical analysis, scientific computation, probability, optimal control, ordinary, partial, and stochastic differential equations, and dynamical systems; and applications of mathematics to biology, finance, and industrial problems. Annual research funding exceeds $3 million, and supports numerous research assistantships for undergraduate and graduate students. More information about the department can be found at http:\\www.math.sciences.ncsu.edu. While working in this department, you will be expected to foster a supportive and welcoming environment.
NC State promotes an integrated approach to problem solving that transforms lives and provides leadership for social, economic, and technological development across North Carolina and around the world. NC State's land grant mission of teaching, research and service is dedicated to the service of North Carolina and its people. Applicants are encouraged to review the institution's mission, vision and strategic plan, and consider how their background, interest and experience would enable them to support the university.
Wolfpack Perks and Benefits
As a Pack member, you belong here, and can enjoy exclusive perks designed to enhance your personal and professional well-being. As you consider this opportunity, we encourage you to review our Employee Value Proposition and learn more about what makes NC State the best place to learn and work for everyone.

What we offer:
  • Medical, Dental, and Vision
  • Flexible Spending Account
  • Retirement Programs
  • Disability Plans
  • Life Insurance
  • Accident Plan
  • Paid Time Off and Other Leave Programs
  • 12 Holidays Each Year
  • Tuition and Academic Assistance
  • And so much more!

Attain Work-life balance with our Childcare benefits, Wellness & Recreation Membership, and Wellness Programs that aim to build a thriving wolfpack community.
Disclaimer: Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status. Eligibility and Employer Sponsored Plans can be found within each of the links offered.
Essential Job Duties
Join a collaborative, interdisciplinary research environment where you will help advance the frontiers of mathematical biology, machine learning, and scientific computing. Working closely with Kevin Flores, you will develop innovative computational and mathematical frameworks that transform complex biological data into interpretable, predictive insights.
In this role, you will apply applied mathematics, deep learning, inverse methods, and scientific computing techniques to tackle complex research challenges involving heterogeneous dynamical systems with biologically and medically relevant applications. You will have the opportunity to shape emerging research directions, contribute to high-impact publications and grant initiatives, and collaborate with experts across mathematics, data science, and experimental biology.

Key responsibilities will fall within the four functional areas below.

Research & Computational Model Development
  • Develop and implement advanced mathematical, statistical, and machine learning models to analyze complex biological and scientific datasets.
  • Design interpretable dynamical systems frameworks using biologically informed neural networks (BINNs), differential equations, inverse methods, and scientific machine learning approaches.
  • Build scalable, reproducible computational workflows and optimize code for high-performance scientific computing applications.
  • Apply multi-task learning and data-driven modeling techniques to heterogeneous single-cell and multivariate time series data.

Interdisciplinary Collaboration & Scientific Discovery
  • Partner with interdisciplinary research teams and experimental collaborators to translate theoretical models into practical scientific applications.
  • Contribute to the design and interpretation of perturbation experiments and high-dimensional biological data analyses.
  • Support the identification of regulatory interactions, prediction of system-level responses, and generation of actionable scientific insights.

Scholarly Contribution & Research Leadership
  • Contribute to peer-reviewed publications, technical reports, and presentations for national and international research conferences.
  • Participate in collaborative grant proposal development and broader research strategy initiatives focused on scientific machine learning and mathematical biology.
  • Help foster a collaborative research culture through seminars, workshops, working groups, and cross-disciplinary training activities.
Mentorship & Research Dissemination
  • Support graduate and undergraduate student engagement in computational and interdisciplinary research activities.
  • Contribute to the dissemination of research methods through open-source software, reproducible workflows, and collaborative knowledge-sharing initiatives.
  • Stay current with emerging methodologies in applied mathematics, machine learning, and data science to continuously advance research capabilities.
If you are excited by the opportunity to apply mathematics and machine learning to complex biological systems, thrive in highly collaborative research environments, and enjoy translating challenging scientific questions into innovative computational solutions, we encourage you to apply.
Other Responsibilities
Qualifications
Minimum Education and Experience
  • Ph.D. in applied mathematics, mathematical biology, computational biology, statistics, or a closely related quantitative field.
Other Required Qualifications
  • Demonstrated expertise in mathematical modeling of biological systems, including differential equations, stochastic models, or agent-based models.
  • Strong record of peer-reviewed publications in applied mathematics and/or mathematical biology journals, with a minimum publication record comparable to leading early-career researchers in the field (e.g., at least 6-8 peer-reviewed articles in reputable applied mathematics, biomathematics, or interdisciplinary journals).
  • Experience with scientific machine learning, equation learning, or data-driven modeling of dynamical systems.
  • Proficiency in Python (or similar scientific computing languages) and modern machine learning frameworks (e.g., PyTorch, TensorFlow).
  • Demonstrated ability to work collaboratively in interdisciplinary teams and contribute to externally funded research projects.
Preferred Qualifications
N/A
Required License(s) or Certification(s)
N/A
Valid NC Driver's License required No Commercial Driver's License required No
Recruitment Dates and Special Instructions
Job Open Date 05/22/2026 Anticipated Close Date 6/38/2026; if posting is active we are still accepting and reviewing applications Special Instructions to Applicants
Please include a CV, cover letter, contact information for three professional references and an optional research statement. 
Position Details
Position Number 00112075 Position Type Non-Tenure-Track Faculty Full Time Equivalent (FTE) (1.0 = 40 hours/week) 1.0 Appointment 12 Month Recurring Mandatory Designation - Adverse Weather Non Mandatory - Adverse Weather Mandatory Designation - Emergency Events Non Mandatory - Emergency Event Department ID 170301 - Mathematics EEO
NC State University is an equal opportunity employer. All qualified applicants will receive equal opportunities for employment without regard to age, color, disability, gender identity, genetic information, national origin, race, religion, sex (including pregnancy), sexual orientation, and veteran status. The University encourages all qualified applicants, including protected veterans and individuals with disabilities, to apply. Individuals with disabilities requiring disability-related accommodations in the application and interview process are welcome to contact 919-513-0574 to speak with a representative of the Office of Equal Opportunity.
If you have general questions about the application process, you may contact Human Resources at (919) 515-2135 or workatncstate@ncsu.edu.
Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit.
NC State University participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.

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About North Carolina State University

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North Carolina State University (NCSU), located in Raleigh, NC, US, is a leading educational institution with a strong emphasis on research, academics, and public service. Established in 1887, NCSU operates in the education industry and endeavors to foster student success, and promote economic development by providing high-quality, affordable education, and conducting groundbreaking research across a variety of disciplines. With more than 100 majors, its academic offerings range from undergraduates to postgraduates along with doctoral studies - in various fields like engineering, natural resources, humanities, and social sciences. NCSU is firmly anchored on the core values of respect, responsibility, integrity, and innovation. Its mission is to create economic, societal, and intellectual prosperity for the people of North Carolina and the nation.

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Colleges, universities, and professional schools

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5,001 - 10,000 Employees

Headquarters location

Raleigh, NC, US

Year founded

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