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Artificial Intelligence Machine Learning Physics Jobs in Fairfield, CT

IBM

IBM Research Intern 2027: AI Systems

Yorktown, NY · On-site

Currently pursuing a PhD in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, Machine Learning, or a related technical field. * Demonstrated experience in ...

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How much do artificial intelligence machine learning physics jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for artificial intelligence machine learning physics in Fairfield, CT is $20.46, according to ZipRecruiter salary data. Most workers in this role earn between $12.74 and $25.96 per hour, depending on experience, location, and employer.

What is artificial intelligence machine learning physics?

Artificial Intelligence Machine Learning Physics is an interdisciplinary field that applies AI and machine learning techniques to solve complex problems in physics. Experts in this area use algorithms to analyze large datasets, model physical phenomena, and accelerate scientific discoveries. The field combines knowledge of physics, computer science, and mathematics to design models that can predict, simulate, or interpret physical processes. Applications include materials science, quantum mechanics, astrophysics, and more, making it a rapidly growing area of research and industry.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning physicist, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Physicist, you need a strong background in physics, advanced mathematics, computer science, and experience with machine learning algorithms, typically supported by a graduate degree in a related field. Proficiency in programming languages such as Python or C++, machine learning frameworks like TensorFlow or PyTorch, and familiarity with data analysis tools are essential, along with experience in scientific computing. Critical thinking, problem-solving, and strong communication skills help you interpret complex data, collaborate across disciplines, and convey research findings effectively. These combined skills are crucial for developing innovative AI models, driving scientific discovery, and advancing technology at the intersection of physics and machine learning.

What collaborative projects can professionals in artificial intelligence machine learning physics expect to work on?

Professionals in Artificial Intelligence Machine Learning Physics often work on interdisciplinary teams, partnering closely with data scientists, physicists, and software engineers. They may contribute to projects such as developing advanced simulation tools, optimizing experimental data analysis, or creating machine learning models to predict physical phenomena. Collaboration is key, as these roles frequently involve integrating AI algorithms with physical models and leveraging domain-specific knowledge from physics experts. This dynamic environment fosters continual learning and offers opportunities to lead innovative research or transition into specialized engineering and research leadership roles.

What is the difference between Artificial Intelligence Machine Learning Physics vs Data Scientist?

AspectArtificial Intelligence Machine Learning PhysicsData Scientist
Required credentialsDegree in Computer Science, Physics, or related fields; certifications in AI/MLDegree in Statistics, Mathematics, Computer Science; certifications in data analysis
Work environmentResearch labs, tech companies, academia focusing on AI/ML applications in physicsBusiness, finance, healthcare sectors analyzing large datasets
Industry usageDeveloping AI models for physics simulations, research, and technologyExtracting insights from data to inform business decisions

Artificial Intelligence Machine Learning Physics and Data Scientist roles share a focus on data analysis and technical skills. However, AI/ML Physics emphasizes developing algorithms within physics contexts, while Data Scientists focus on analyzing diverse datasets across industries. Both roles often require similar educational backgrounds and certifications, but their applications and work environments differ significantly.

Is artificial intelligence and machine learning a good career?

Artificial Intelligence and Machine Learning are growing fields with high demand for skilled professionals, including roles like AI engineers and data scientists. These careers often require strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. They offer competitive salaries and opportunities for innovation across various industries.

What cities near Fairfield, CT are hiring for Artificial Intelligence Machine Learning Physics jobs?

Cities near Fairfield, CT with the most Artificial Intelligence Machine Learning Physics job openings:

Artificial Intelligence Machine Learning Physics jobs near you

Program Director and Associate/Full Professor of Computer Science (Artificial Intelligence and Sy...

shu

Fairfield, CT • On-site

Full-time

Re-posted 16 days ago

Job description

Program Director and Associate/Full Professor of Computer Science (Artificial Intelligence and Systems Integration)

School of Computer Science and Engineering
College of Arts & Sciences
Sacred Heart University | Fairfield, Connecticut

Position Overview

Sacred Heart University invites applications for the position of Program Director of Computer Science at the rank of Associate or Full Professor (tenure-track) with a start date of August 2026.

This position offers a unique opportunity for an accomplished academic leader to guide Sacred Heart’s Department of Computer Science through an exciting period of transformation—one that integrates artificial intelligence (AI), systems thinking, and industry engagement into a forward-looking computing curriculum.

The successful candidate will lead the continued development of Sacred Heart’s Master of Science in Computer Science & Information Technology (MSCIT) program and undergraduate offerings, ensuring that graduates are equipped with the skills and perspectives necessary to excel in a rapidly evolving technological landscape.

Responsibilities

  • Lead and oversee the Computer Science program, providing academic, operational, and strategic direction aligned with SHU’s mission and strategic plan.
  • Design, implement, and assess a reimagined, AI-focused curriculum emphasizing programming structure, systems integration, and applied innovation.
  • Teach and mentor undergraduate and graduate students in computer science, artificial intelligence, or related fields.
  • Develop partnerships with industry and external organizations to expand applied learning and research opportunities.
  • Foster interdisciplinary collaboration across computing, engineering, business, and the liberal arts.
  • Contribute to faculty recruitment, development, and assessment within the School of Computer Science and Engineering.
  • Engage in research and scholarship that advances the field and informs curriculum innovation.

Qualifications

  • Ph.D. in Computer Science, Artificial Intelligence, or a closely related field.
  • Record of academic leadership and curriculum innovation.
  • Demonstrated excellence in teaching, research, and program development.
  • Experience in AI applications, machine learning, or systems-level integration preferred.
  • Eligibility for appointment at the associate or full professor rank.

Application Process

Applicants should submit:

  1. A cover letter describing leadership experience, teaching philosophy, and vision for AI-driven computer science education.
  2. A curriculum vitae.
  3. A statement of research interests.
  4. Contact information for three professional references. Letters of recommendation and official transcripts will be required from final candidates.

Review of applications will begin immediately and continue until the position is filled. 

Apply