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Assistant Professor Of Computer Science Jobs in Baton Rouge, LA

TytoCare Ltd.

Senior Algorithm Developer

Central, LA · On-site

$90 - $120/hr

... Computer Science, or similar. * Extensive experience as a Data Scientist. * Proficiency in Matlab or Python, where the later is preferred. * 3 years experience in deep learning. * Knowledge of a ...

Varsity Tutors

Computer Programming Tutor

Baton Rouge, LA · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... computer science coursework and software engineering careers. * Conceptual Teaching & Problem ...

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Assistant Professor Of Computer Science information

See Baton Rouge, LA salary details

$40.8K

$76.9K

$129.6K

How much do assistant professor of computer science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for assistant professor of computer science in Baton Rouge, LA is $76,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,600.00 and $87,900.00 per year, depending on experience, location, and employer.

What does an assistant professor of computer science do?

An Assistant Professor of Computer Science is an entry-level faculty member at a college or university who teaches undergraduate and/or graduate courses, conducts research in computer science, and contributes to the academic community through service. Their responsibilities often include developing curriculum, mentoring students, publishing scholarly articles, and seeking research funding. They may also participate in departmental committees and help organize academic events.

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

To thrive as an Assistant Professor of Computer Science, you need an advanced degree (typically a Ph.D.) in computer science or a related field, along with a solid research background and teaching experience. Familiarity with programming languages, learning management systems (LMS), and research tools like LaTeX and version control systems is essential. Strong communication, mentorship, and organizational skills help foster student learning and collaboration with colleagues. These skills and qualities are critical for effectively educating students, advancing research, and contributing to the academic community.

What are some common challenges faced by assistant professors of computer science in balancing research and teaching responsibilities?

Assistant Professors of Computer Science often find it challenging to balance the demands of conducting impactful research with the responsibilities of teaching and mentoring students. Managing time effectively between preparing lectures, grading, advising students, and pursuing research projects is essential. Additionally, there is often pressure to publish regularly and secure research funding, which requires strong organizational skills and the ability to prioritize tasks. Collaborating with colleagues and involving students in research can help manage workload and foster a supportive academic environment.

What cities near Baton Rouge, LA are hiring for Assistant Professor Of Computer Science jobs?

Cities near Baton Rouge, LA with the most Assistant Professor Of Computer Science job openings:

Assistant Professor Of Computer Science jobs near you
Infographic showing various Assistant Professor Of Computer Science job openings in Baton Rouge, LA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 10% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $76,873 per year, or $37 per hour.

AI Training Specialist - Physics

micro1 AI

Baton Rouge, LA • On-site, Remote

$80 - $150/hr

Part-time

Posted 19 days ago

Job description

Role Title: Physics Expert (Postdoc / Junior professor)


Role Type: Contractor


Location: Remote (US, Canada, UK focused)


micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. 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. Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms.
  2. Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology.
  3. Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback.
  4. Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement.
  5. Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument.
  6. Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate.
  7. Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes.


Preferred Qualifications

  1. PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials).
  2. Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist.
  3. Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links.
  4. Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation.
  5. Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars.
  6. Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor.
  7. Reliable access to high-speed internet and a computer suitable for rigorous technical work.

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