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Phd Python Jobs in Tennessee (NOW HIRING)

micro1 AI

AI Training Specialist - Physics

Memphis, TN · On-site +1

$80 - $150/hr

Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

micro1 AI

AI Training Specialist - Physics

Knoxville, TN · On-site +1

$80 - $150/hr

Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

micro1 AI

AI Training Specialist - Physics

Nashville, TN · On-site +1

$80 - $150/hr

Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

Sonsoft Inc

Sr. Data Scientist

Memphis, TN

Overall Responsibilities: 10 to 15 years of experience with PhD or MS. Hands on experience on ... experience on R, Python, IBM SPSS Excellent communication skills and ability to express the ...

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Phd Python information

What is a PhD Python developer?

A PhD Python developer is a professional who has earned a Doctor of Philosophy (PhD) degree and specializes in using the Python programming language for research, data analysis, software development, or academic projects. These individuals often work in fields like data science, machine learning, scientific computing, or academia, where complex problem-solving and advanced analytical skills are required. Their expertise in both research methodologies and Python allows them to tackle sophisticated computational tasks and contribute to cutting-edge innovation.

What skills and qualifications are needed to thrive as a PhD Python developer?

To thrive as a PhD-level Python Developer, you need advanced programming skills in Python, a relevant doctoral degree (typically in computer science, data science, or a related field), and a strong foundation in research methodologies. Experience with scientific computing libraries (such as NumPy, pandas, and SciPy), machine learning frameworks, and version control systems like Git is highly valued. Exceptional problem-solving abilities, clear communication, and the capacity to work independently are crucial soft skills for this role. These skills and qualities are essential for driving innovative research, developing robust code, and effectively collaborating within interdisciplinary teams.

What types of collaborative projects might a PhD with Python expertise typically engage in within research or industry settings?

PhDs with strong Python skills often work on multidisciplinary projects that require data analysis, machine learning, or automation. They may collaborate with domain experts, data scientists, and software engineers to design experiments, develop analytical tools, or build scalable research prototypes. Collaborative work frequently involves contributing to codebases, sharing insights through data visualization, and participating in regular meetings to align project goals. Such environments foster both technical growth and exposure to diverse fields, supporting career advancement through impactful contributions.

Can we do a PhD in Python?

A PhD in Python typically refers to research involving Python programming language, often in fields like computer science, data science, or artificial intelligence. While there is no formal PhD in Python itself, students can pursue doctoral degrees in related areas and use Python as a primary tool for research and data analysis. Gaining expertise in Python, along with a strong foundation in research methods, is essential for completing such a PhD.

What are 10 careers related to Python?

Careers related to Python include software developer, data scientist, machine learning engineer, backend developer, automation engineer, data analyst, research scientist, DevOps engineer, cybersecurity analyst, and quantitative analyst. These roles often require strong programming skills, knowledge of libraries like Pandas or TensorFlow, and experience with software development environments. Python's versatility makes it applicable across industries such as finance, healthcare, technology, and research.

Which Phd Python job is in demand?

PhD Python roles in data science, machine learning, and artificial intelligence are currently in high demand, especially in research institutions, tech companies, and finance. These positions often require strong programming skills, experience with frameworks like TensorFlow or PyTorch, and advanced knowledge of algorithms and data analysis.

What are popular job titles related to Phd Python jobs in Tennessee?

For Phd Python jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Phd Python jobs in Tennessee look for?

The top searched job categories for Phd Python jobs in Tennessee are:

Phd Python jobs near you
Infographic showing various Phd Python job openings in Tennessee as of August 2026, with employment types broken down into 2% Internship, 84% Full Time, 6% Part Time, and 8% Contract. Highlights an 79% Physical, 7% Hybrid, and 14% Remote job distribution.

Principal Research Scientist - (Physics) AI Reviewer

micro1 AI

Knoxville, TN • Remote

$80 - $160/hr

Part-time

Posted 16 days ago

Job description

Role Title: Physics Expert (Professor / Principal Investigator)


Role Type: Contractor.


Location: Remote


micro1 is engaging Physics Experts—established Professors or Principal Investigators—to provide high-level domain guidance as part of an impactful project for a customer. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Adjudicate and render expert judgment on contested or competing physics arguments, solutions, or interpretations within your subfield.
  2. Compare alternative approaches to the same problem, detailing which is superior, under what assumptions, and in which regimes.
  3. Identify and articulate meta-level criteria for evaluating the robustness and validity of competing physics work, such as key assumptions and breaking points of approximations.
  4. Exercise calibrated confidence by providing authoritative assessments while transparently acknowledging genuine uncertainty or open questions in the field.
  5. Draft defensible written evaluations suitable for review by fellow senior physicists, ensuring clarity and rigor.
  6. Leverage technical tools such as LaTeX, SymPy, Python, and Jupyter to verify or contrast technical claims as needed.
  7. Clearly communicate when a question is unresolved within the field and delineate the pertinent considerations.


Preferred Qualifications

  1. PhD in physics with demonstrated expertise and scholarly impact in your specified subfield.
  2. Current or former Associate Professor, Full Professor, Chair Professor, or Principal Investigator/Group Leader with a track record of independent research leadership.
  3. Ongoing research activity in one or more of these areas: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
  4. 3–5 recent representative publications in your target subfield, with arXiv or DOI references.
  5. Prior experience supervising PhD students or postdocs, or equivalent leadership in industry research settings.
  6. Proficiency with LaTeX, SymPy, Python, and Jupyter (please indicate any gaps in experience with these tools).
  7. Exceptional written communication skills, with the ability to articulate nuanced and well-reasoned judgments.

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