1

Ai Phd Computer Science Jobs (NOW HIRING)

PhD required in Computer Science, Artificial Intelligence, Data Science, or a closely related ... Deep understanding of Neuro-Symbolic AI, symbolic reasoning, knowledge representation, and hybrid ...

Computer Science Instructor

Dale, IN · On-site

$57K - $98K/yr

The Computer Science Department seeks a strong scholar-practitioner who will share faculty ... Grade 1: PhD in major field $57,255.05 Up to four salary steps may be applied to the starting ...

next page

Showing results 1-20

Ai Phd Computer Science information

See salary details

$11K

$126.6K

$171K

How much do ai phd computer science jobs pay per year?

As of Sep 9, 2026, the average yearly pay for ai phd computer science in the United States is $126,612.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $153,000.00 per year, depending on experience, location, and employer.

What is an AI PhD in computer science?

An AI PhD in Computer Science is a doctoral program focused on advanced research in artificial intelligence within the broader field of computer science. Students in this program work on developing new algorithms, models, and theories to advance the understanding and application of AI. The program typically involves coursework, original research, and the completion of a dissertation. Graduates often pursue careers in academia, research labs, or industry, contributing to innovations in machine learning, robotics, natural language processing, and more.

What are the key skills and qualifications needed to thrive as an AI PhD in computer science?

To thrive as an AI PhD in Computer Science, you need deep expertise in machine learning, mathematics, algorithm design, and a doctoral degree in computer science or a closely related field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and experience with large-scale data systems are essential. Strong analytical thinking, problem-solving skills, and the ability to communicate complex ideas clearly set outstanding candidates apart. These skills are crucial for advancing AI research, developing innovative solutions, and contributing effectively to academic or industry projects.

What are some common challenges faced by AI PhD researchers in computer science when working on interdisciplinary projects?

AI PhD researchers in computer science often collaborate with experts from fields such as biology, linguistics, or engineering. One common challenge is bridging the gap in terminology and methodology between disciplines, which can slow down project progress. Additionally, integrating diverse datasets and aligning research goals requires strong communication and project management skills. However, overcoming these challenges can lead to innovative solutions and valuable networking opportunities.

What is the difference between Ai Phd Computer Science vs Machine Learning Engineer?

AspectAi Phd Computer ScienceMachine Learning Engineer
Required CredentialsPhD in Computer Science or related field, research experienceBachelor's or Master's in CS, Data Science, or related field, some experience in ML projects
Work EnvironmentResearch labs, academia, R&D departmentsIndustry, tech companies, startups, applied project settings
Employer & Industry UsageUniversities, research institutions, R&D divisions of tech firmsTechnology companies, finance, healthcare, e-commerce
Common Search & Comparison IntentUnderstanding advanced research roles, academic careersPractical application of ML, product development

While an Ai Phd in Computer Science focuses on research, theory, and advancing AI knowledge, a Machine Learning Engineer applies these concepts to develop and deploy ML models in industry settings. Both roles require strong technical skills, but their work environments and career paths differ significantly.

What can you do with a PhD in AI?

A PhD in AI prepares individuals for advanced roles such as AI researcher, data scientist, machine learning engineer, or AI scientist. Graduates often work in research labs, tech companies, or academia, developing algorithms, models, and innovative AI solutions using tools like Python, TensorFlow, or PyTorch.

What are popular job titles related to Ai Phd Computer Science jobs?

For Ai Phd Computer Science jobs, the most frequently searched job titles are:

Infographic showing various Ai Phd Computer Science job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution, with an average salary of $126,612 per year, or $60.9 per hour.

Part-time Faculty, PhD Computer Science

Remote

National University
Colleges, Universities, and Professional Schools • 1 - 5K employees

$26.63 - $28.89/hr

Part-time

Re-posted 12 days ago


Job description

Compensation Range:
Hourly: $26.63 - $28.89
National University - San Diego, California
Part-time Faculty: Ph.D. Computer Science
Location: Remote, CA
National University is a veteran-founded, San Diego-based nonprofit. Since 1971, our mission has been to provide accessible higher education to adult learners. Today, we educate a diverse student body from across the U.S. and around the globe, with more than 230,000 alumni worldwide. Our three schools and three colleges offer more than 200 accredited and licensed graduate and undergraduate programs. National University holds accreditation through the Western Senior College and Universities Commission (WSCUC).
Position Summary
The Department of Engineering, Data and Computer Sciences, in the College of Business, Engineering and Technology at the National University invites applications for part-time faculty with a specialization in Computer Science. The successful candidate will have a demonstrated record of or potential for excellence in teaching in their field and a commitment to serving the university's diverse adult student body. This position primarily works closely with the Academic Program Director and other faculty within the program and contributes to ensuring program quality, student engagement, and success.
Please note that in addition to a resume or CV, unofficial transcripts of highest degree attained are required at the time of application.
Essential Job Duties
  • Provide substantive, timely feedback to students on various assessment activities.
  • Maintain a positive, safe, inclusive student-centric learning environment.
  • Complete required tasks on deadlines (e.g., final grades, assessment, grading rubrics, input for grade appeals, etc.)
  • Maintain appropriate professional training and/or scholarly activities, when applicable.
  • Provide feedback to the course lead regarding the course content.
  • Identify at-risk students and collaborate with student services.

Qualifications
Required:
  • Ph.D. in the field of computer science or computer engineering from a regionally accredited university.
  • A strong background in any of the following areas:
    • Advanced Artificial Intelligence and Machine Learning (e.g., deep learning, reinforcement learning, natural language processing, large-scale AI systems)
    • Data Systems and Data Engineering (e.g., database systems, distributed data systems, large-scale data processing, data-intensive applications)
    • Systems and Distributed Computing (e.g., operating systems, distributed systems, parallel computing, cloud and scalable systems)
    • Networking and Networked Systems (e.g., computer networks, distributed networking, modern communication systems)
    • Software Engineering and Programming Systems (e.g., programming languages, systems programming, software design and architecture)
    • Emerging areas aligned with computer science research (e.g., IoT systems, scalable platforms, trustworthy AI, quantum computing)

Preferred:
  • 3+ years of higher education teaching experience.
  • Experience teaching at the doctoral level, contributing to course development, and serving on dissertation committees.

For full consideration, interested candidates must provide the following:
  • Resume or CV.
  • Unofficial transcripts of highest degree attained.

Candidate receiving offers will be offered a salary/pay rate commensurate with experience that vary based on a candidate's qualifications, skills, and competencies. Absent exceptional circumstances, candidates will be offered a salary within this range for this position. Base pay is one component of National University's total rewards package, as we are dedicated to supporting the needs of the "whole you" with our holistic approach to employee benefits by offering comprehensive well-being benefits for you and your family. For full details about our benefit plan offerings, please visit benefits.nu.edu. For part-time positions, please click here.
National University is proud to be an equal opportunity employer and does not discriminate against any employee or applicant per applicable federal, state and local laws. At NU, a mix of highly talented, innovative, and creative people come together to make the impact of a lifetime for each of our student learners. All qualified applicants will receive equal consideration for employment, education, and admission at National University.