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Associate Professor Computer Science Jobs in Savannah, GA

micro1 AI

AI Training Specialist - Physics

Savannah, GA · On-site +1

$80 - $150/hr

... professor) to participate in a high-impact project supporting a customer in the science and ... Reliable access to high-speed internet and a computer suitable for rigorous technical work.

MCI RPOaas

Desktop Support Technician II

Savannah, GA

$40K - $55K/yr

Associate's (or equivalent) degree in Computer Science or Information Technology from a technical school OR equivalent combination of education and experience * CompTIA (A+, Network +, Server+ and ...

MCI RPOaas

Desktop Support Technician I

Savannah, GA · On-site

$36K - $40K/yr

Associate's (or equivalent) degree in Computer Science or Information Technology from a technical school OR equivalent combination of education and experience * CompTIA (A+, Network +, Server+ and ...

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All JobsAssociate Professor Computer Science JobsAssociate Professor Computer Science Jobs in Savannah, GA

Associate Professor Computer Science information

See Savannah, GA salary details

$38.7K

$82.3K

$143.9K

How much do associate professor computer science jobs pay per year?

As of Aug 15, 2026, the average yearly pay for associate professor computer science in Savannah, GA is $82,254.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,900.00 and $104,800.00 per year, depending on experience, location, and employer.

What opportunities for interdisciplinary collaboration are available to associate professors in computer science?

As an Associate Professor in Computer Science, you will often have the chance to collaborate with faculty and researchers from various departments such as engineering, medicine, business, and the social sciences. Many universities encourage interdisciplinary projects, allowing you to contribute your computing expertise to diverse research initiatives. These collaborations can enhance your research portfolio and open up new funding opportunities. Additionally, interdisciplinary work often leads to broader impacts and can help build professional networks both within and outside your institution.

What is the difference between Associate Professor Computer Science vs Assistant Professor Computer Science?

CriteriaAssociate Professor Computer ScienceAssistant Professor Computer Science
Required CredentialsPh.D. in Computer Science or related field, significant research and teaching experiencePh.D. in Computer Science or related field, typically early in academic career
Work EnvironmentUniversity faculty, research, teaching, service responsibilitiesUniversity faculty, research, teaching, service responsibilities
Employer & Industry UsageHigher academic rank, more responsibilities, often involved in departmental leadershipEntry-level faculty position, focus on establishing research and teaching

The main difference between Associate Professor Computer Science and Assistant Professor Computer Science lies in experience and rank. Associate Professors have more research, teaching, and service experience, often holding a higher academic rank with additional responsibilities. Assistant Professors are typically early-career faculty members working towards promotion. Both roles require a Ph.D. and are common in university settings, but the Associate Professor position signifies a more advanced career stage.

What does an associate professor of computer science do?

An Associate Professor of Computer Science is a mid-level faculty member at a college or university who teaches undergraduate and graduate courses, conducts research in computer science, and publishes scholarly work. They also supervise students, mentor junior faculty, and may participate in curriculum development and academic committees. In addition to teaching and research, Associate Professors often contribute to their academic community through service, such as organizing conferences or reviewing papers. Promotion to this rank usually follows demonstrated excellence in teaching, research, and service over several years as an Assistant Professor.

What are the key skills and qualifications needed to thrive as an associate professor of computer science, and why are they important?

To thrive as an Associate Professor of Computer Science, you need an advanced degree (typically a PhD) in computer science or a related field, with a strong track record in research, teaching, and publications. Familiarity with programming languages, learning management systems (such as Canvas or Blackboard), and research tools like MATLAB or Python is typically required. Excellent communication, mentorship, and collaboration skills help foster student engagement and interdisciplinary partnerships. These competencies are crucial for advancing research, delivering effective instruction, and contributing to the academic community.

What are popular job titles related to Associate Professor Computer Science jobs in Savannah, GA?

For Associate Professor Computer Science jobs in Savannah, GA, the most frequently searched job titles are:

What job categories do people searching Associate Professor Computer Science jobs in Savannah, GA look for?

The top searched job categories for Associate Professor Computer Science jobs in Savannah, GA are:

What cities near Savannah, GA are hiring for Associate Professor Computer Science jobs?

Cities near Savannah, GA with the most Associate Professor Computer Science job openings:

Associate Professor Computer Science jobs near you

Principal Research Scientist - (Physics) AI Reviewer

micro1 AI

Savannah, GA • Remote

$80 - $160/hr

Part-time

Posted 13 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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