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Artificial Intelligence Machine Learning Physics Jobs in Tennessee

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 ...

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 ...

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 ...

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 ...

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 ...

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 Tennessee? For Artificial Intelligence Machine Learning Physics jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Physics jobs in Tennessee look for? The top searched job categories for Artificial Intelligence Machine Learning Physics jobs in Tennessee are:
What cities in Tennessee are hiring for Artificial Intelligence Machine Learning Physics jobs? Cities in Tennessee with the most Artificial Intelligence Machine Learning Physics job openings:
Faculty - Technologies (Artificial Intelligence)

Faculty - Technologies (Artificial Intelligence)

Tennessee Board of Regents

Memphis, TN

Other

Posted 18 days ago


Job description

Faculty - Technologies (Artificial Intelligence)

Apply now Job no: 504112
Work type: Faculty - 9/10 Month
Location: Memphis
Categories: Faculty

Southwest Tennessee Community College is a comprehensive, multicultural, public, open-access college. Southwest has four campuses/centers from which it offers over 100 programs and over 20 technical certificate programs.

We foster student success, transform lives, and increase the educational level of a growing community in Shelby County. Southwest is a Tennessee Board of Regents institution, accredited by the Commission on Colleges of the Southern Association of Colleges and Schools.

We invite you to become a part of the Southwest Team!

Title: Faculty - Technologies (Artificial Intelligence)

Employee Classification: Faculty

Institution: Southwest Tennessee Community College

Department: Technologies

Campus Location: SWTCC - Multiple Campus Locations

Job Summary

Southwest Tennessee Community College is in the process of developing and launching a new Artificial Intelligence Technology program. As a result, this position will play an important role in supporting early-stage curriculum development, program planning, and implementation, in addition to teaching responsibilities.
This is a full-time academic-year (9-month) appointment faculty position reporting to the Department Chair of Technologies. The faculty member is responsible for the coordination, planning, preparation, presentation, and evaluation of classroom instruction and related academic activities in the assigned discipline. Teaching responsibilities include foundational and advanced Artificial Intelligence topics such as Python programming, data analysis, machine learning, artificial intelligence tools and frameworks, neural networks, and ethical considerations in AI.
Primary responsibilities include instruction, instructional counseling, academic advising, curriculum development, student assessment, and participation in Continuous Quality Improvement (CQI) activities. The faculty member plays a key role in shaping and maintaining the Artificial Intelligence curriculum and integrating hands-on, applied learning experiences into the program.
The faculty member is expected to perform assigned duties during the day, evening, or weekend on any Southwest Tennessee Community College campus, as assigned. At a minimum, related faculty responsibilities include instruction, academic advising and mentoring, serving on departmental and college committees, and participating in local, state, regional, and national professional activities and organizations.
In addition to standard faculty responsibilities, this position includes assigned program coordination duties for the Artificial Intelligence Technology program as part of the faculty teaching load.

Job Duties

  • Prepare and deliver instruction in Artificial Intelligence Technology courses, including foundational and advanced topics such as Python programming, data analysis, machine learning, neural networks, generative AI tools, and ethical and responsible use of artificial intelligence.
  • Teach courses using a variety of instructional delivery methods, including face-to-face, online, hybrid, and HyFlex formats.
  • Develop and maintain course syllabi, instructional materials, laboratory exercises, assignments, and assessments aligned with course and program learning outcomes.
  • Incorporate hands-on, applied, and project-based learning experiences using current AI tools and platforms.
  • Compile, administer, evaluate, and grade student coursework, laboratory work, assignments, tests, and projects in a fair and consistent manner.
  • Maintain accurate attendance records, grades, and required academic documentation in compliance with FERPA.
  • Maintain scheduled office hours and provide instructional counseling, academic advising, and tutoring support to students.
  • Participate in course- and program-level assessment and Continuous Quality Improvement (CQI) activities.

Program Coordination Functions(Assigned as Part of Faculty Teaching Load)

  • Serve as Program Coordinator for the Artificial Intelligence Technology program.
  • Support the coordination, review, and continuous improvement of AI-related curricula, certificates, and degree pathways in collaboration with the Department Chair and Technologies faculty.
  • Coordinate program-level assessment activities and maintain required curriculum and assessment documentation in accordance with college and accreditation standards.
  • Support Artificial Intelligence advisory board activities, including meeting coordination, agenda development, and incorporation of industry feedback into program planning.
  • Collaborate with internal and external partners to support workforce alignment, experiential learning opportunities, internships, and program outreach.
  • Assist with program promotion, recruitment, and enrollment initiatives related to Artificial Intelligence Technology.
  • Collaborate with the Department Chair on program planning, scheduling, and continuous improvement efforts.

Institutional Service and Professional Development

  • Serve on departmental and college committees as assigned.
  • Participate in faculty meetings, college assemblies, professional development, and orientation activities.
  • Participate in local, state, regional, and national professional organizations related to artificial intelligence, computing, and emerging technologies.
  • Maintain professional knowledge and skills to remain current in the discipline and effective teaching practices.
  • Perform other job-related duties as assigned by the Department Chair or Dean.

Minimum Qualifications

  • Bachelor's degree in computer engineering, computer science, computer information systems, information technology, software engineering, or a closely related field
    OR
    Associate degree in a related field with demonstrated competencies in Artificial Intelligence and computing disciplines.
  • Demonstrated competency in artificial intelligence, programming, or data-driven technologies.
  • Proficiency in reading, writing, and explaining code (Python preferred).
  • A minimum of three (3) years of relevant industry or field experience preferred.
  • Teaching experience at the college or university level is preferred.
  • Ability to teach and support an ever-growing student population.
  • Successful completion of a background check.

Knowledge, Skills, and Abilities

  • Knowledge of artificial intelligence concepts, tools, and applications.
  • Knowledge of ethical and responsible AI practices.
  • Skill in selecting and applying instructional strategies appropriate for technical and adult learners.
  • Ability to design and assess applied, hands-on learning experiences.
  • Strong communication, organization, and collaboration skills.
  • Knowledge of curriculum development, program assessment, and Continuous Quality Improvement processes.
  • Ability to work effectively with students, faculty, staff, and industry partners.

The intent of this job description is to provide a representation of the types of duties and responsibilities that will be required of positions given this title and shall not be construed as a declaration of the total specific duties and responsibilities of any particular position. Employees may be directed to perform job-related tasks other than those specifically presented in this description.

Candidates who are called for an interview must notify Human Resources in writing at least five (5) days in advance of any reasonable accommodation needed prior to the date of the interview.

First consideration will be given to current Southwest Tennessee Community College employees who meet the minimum qualifications for the position.

In order to be considered for the position, the following items must be uploaded:

  • Resume
  • Cover letter
  • Unofficial Transcripts

A summary of our benefits can be found below: 

https://www.southwest.tn.edu/hr/benefits-overview.php

Incomplete applications will not be considered.

The TBR does not discriminate on the basis of race, color, religion, creed, ethnicity, or national origin, sex, disability, age, status as a protected veteran or any other class protected by Federal or State laws and regulations and by Tennessee Board of Regents policies with respect to employment, programs, and activities. 

The following person has been designated to handle inquiries regarding nondiscrimination policies:  LeVetta Hudson, Vice President of People & Culture, myhr@southwest.tn.edu, 737 Union Ave, Memphis, TN 38103, 901-333-5000. See the full non-discrimination policy.

Advertised: 01 May 2026 Central Daylight Time
Applications close:

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