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Artificial Intelligence Machine Learning Physics Jobs in Kentucky

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Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

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Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

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Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

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Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

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Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

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Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

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Artificial Intelligence Machine Learning Physics information

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 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 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.

What are popular job titles related to Artificial Intelligence Machine Learning Physics jobs in Kentucky? For Artificial Intelligence Machine Learning Physics jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Physics jobs in Kentucky look for? The top searched job categories for Artificial Intelligence Machine Learning Physics jobs in Kentucky are:
Artificial Intelligence Machine Learning Physics jobs near you

Adjunct Faculty - Artificial Intelligence

University of the Cumberlands

Williamsburg, KY • On-site, Remote

Part-time

Re-posted 4 days ago

University Of The Cumberlands rating

9.2

Company rating: 9.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 614 rated colleges and universities

Job description

Get Set for Cumberlands!
Join our team of student-focused individuals working together in order to encourage intellectual and spiritual growth, leadership and service.
CURRENT STUDENT or EMPLOYEE? Please log into Workday and use the Career Tile to find and apply to jobs from our internal career sites.
Consistent with and supportive of UC's mission to provide industry-relevant higher education to a diverse student population. Adjunct Faculty members provide quality and innovative instruction and meaningful engagement with our students to successfully achieve the relevant course, program, and degree level outcomes and support their academic success in the Artificial Intelligence Domain.
Responsibilities:.
  • Provide instruction in assigned courses (including applicable laboratory or work that is integral to the courses).
  • Engage and communicate with students to encourage their course participation and learning while maintaining mutual respect and professionalism.
  • Maintain accessibility for and provide timely responsiveness to students, academic/faculty leadership, and University staff by telephone, UC e-mail, and other appropriate means of communication.
  • Establish and maintain weekly office hours for student questions/support.
  • Assess student performance on course assignments and provide assignment feedback to support continued student growth and development.
  • Maintain appropriate documentation of student course activities.
  • Refer students to appropriate co-curricular and extra-curricular resources (e.g., advising, tutoring, library, learning centers, and career services).
  • Work closely with Program Chair and/or Lead Faculty (as appropriate).
  • Perform other responsibilities and abide by the appropriate policies and procedures contained in UC's Faculty Handbook.

Required Skills:
  • Strong organizational and time management skills
  • Strong interpersonal and oral presentation/written communication skills.
  • Proficiency in working effectively with Blackboard
  • Proficiency with standard office and mobile applications
  • Proficiency in any of the following topics: Statistics, Python Programming, R Programming, Artificial Intelligence, Natural Language Processing, and Deep Learning.

Required:
  • Doctoral/PhD Degree required with a minimum of 2 years of online teaching experience at the University Level (Graduate Level Courses)
  • Master Degree required with a minimum of 2 years of online teaching experience at the University Level (Undergraduate Level Courses)
  • Minimum and preferred from an institution regionally accredited by an agency recognized by the U.S. Department of Education.
  • 18 graduate semester credit hours in Artificial Intelligence, Machine Learning, and/or Data Science.

Recommended:
  • AI courses & certification from Microsoft, Google, IBM, and other similar Academic institutions.
  • Documented work experience in the field of Artificial Intelligence
  • Candidate must be based in the US.

Cumberlands is different by design. Our employees exemplify our motto in the pursuit of a
"life-more-abundant."
Cumberlands is different by design. Our employees exemplify our motto in the pursuit of a
"life-more-abundant."

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