2

Remote Phd Student Jobs in Kentucky (NOW HIRING)

Remote Phd Student information

What is the difference between Remote Phd Student vs Remote Research Assistant?

AspectRemote Phd StudentRemote Research Assistant
Required CredentialsEnrolled in a PhD program, often with a relevant master's degreeBachelor's or master's degree, sometimes pursuing related studies
Work EnvironmentAcademic institution, research labs, or university settingsResearch institutions, universities, or industry labs
Employer & Industry UsageUniversities, academic research projectsResearch organizations, universities, industry R&D
Work FocusConducting original research, coursework, thesis workSupporting research projects, data collection, analysis

Remote Phd Students are primarily enrolled in doctoral programs, focusing on their own research and coursework within academic settings. Remote Research Assistants support ongoing research projects, often with less emphasis on coursework. While both roles involve research, the PhD student is a learner working towards a degree, whereas the research assistant is a support role within research teams.

What are popular job titles related to Remote Phd Student jobs in Kentucky?

For Remote Phd Student jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Remote Phd Student jobs in Kentucky look for?

The top searched job categories for Remote Phd Student jobs in Kentucky are:

What cities in Kentucky are hiring for Remote Phd Student jobs?

Cities in Kentucky with the most Remote Phd Student job openings:

Principal Research Scientist - (Physics) AI Reviewer

micro1 AI

Lexington, KY • Remote

$80 - $160/hr

Part-time

Posted 11 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.