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Computer Science Professor Jobs in El Paso, TX (NOW HIRING)

Post Doctoral

Las Cruces, NM · On-site

$48K - $65K/yr

... Professor of Horticulture in the Department of Plant and Environmental Sciences. Environment ... Computer knowledge and SAS programming skills. Excellent writing and data presentation skills.

Post Doctoral

Las Cruces, NM · On-site

$48K - $65K/yr

... Professor of Horticulture in the Department of Plant and Environmental Sciences. Environment ... Computer knowledge and SAS programming skills. Excellent writing and data presentation skills.

Computer Science Professor information

See El Paso, TX salary details

$9.9K

$114.5K

$154.7K

How much do computer science professor jobs pay per year?

As of Aug 12, 2026, the average yearly pay for computer science professor in El Paso, TX is $114,513.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,200.00 and $138,400.00 per year, depending on experience, location, and employer.

What does a computer science professor do?

A computer science professor teaches at a technical college or university. You create and teach courses in computer science (CS) or related programming or technology subjects. In this career, you prepare the syllabus for each class, deliver lectures and instructions, and use exams and quizzes to assess the performance of students. In many computer science classes, your responsibilities include allowing students to practice the subject matter in a computer lab. You facilitate this practice and offer guidance during lab sessions. In addition to your teaching duties, you sometimes give academic or career advice to students in CS degree programs.

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

Computer Science Professors often juggle multiple responsibilities, including delivering lectures, guiding student projects, conducting original research, publishing papers, and participating in departmental or university committees. Balancing these can be challenging, especially during peak periods like exam seasons or major research deadlines. Effective time management and prioritization are crucial, as is seeking support from colleagues and administrative staff. Many professors also find it helpful to establish a clear schedule and set boundaries to maintain productivity and job satisfaction.

What does a computer science professor do?

A Computer Science Professor teaches courses in computer science at the college or university level, covering topics such as programming, algorithms, data structures, artificial intelligence, and more. In addition to teaching, they often conduct research in specialized areas, publish academic papers, and supervise student projects or theses. Computer Science Professors also advise students, develop curriculum, and may participate in departmental administration or service. Their work is crucial in advancing the field of computer science and preparing the next generation of technology professionals.

What is the difference between Computer Science Professor vs Software Developer?

AspectComputer Science ProfessorSoftware Developer
Required CredentialsTypically a Ph.D. in Computer Science or related fieldBachelor's or Master's in Computer Science or related field; certifications optional
Work EnvironmentAcademic institutions, research labs, universitiesCorporate offices, tech companies, startups
Industry UsageResearch, teaching, academic publishingSoftware development, product creation, coding
Common Search/ComparisonYesYes

While both roles involve computer science knowledge, a Computer Science Professor primarily focuses on teaching, research, and academic publishing, often requiring a Ph.D. and working in educational institutions. In contrast, a Software Developer applies programming skills to create software products in corporate or startup environments, typically with a bachelor's or master's degree. The roles differ in work environment, responsibilities, and career paths but share foundational computer science expertise.

What are the key skills and qualifications needed to thrive as a computer science professor?

To thrive as a Computer Science Professor, you need an advanced degree in computer science or a related field, strong research background, and expertise in core topics like algorithms, programming, and systems. Familiarity with learning management systems (LMS), programming environments, and publication platforms is typically required, along with a record of scholarly publication and potentially relevant certifications. Excellent communication, mentorship, and curriculum development skills help foster student engagement and support academic growth. These skills and qualifications are vital for delivering high-quality instruction, advancing research, and contributing to the academic community.
What are popular job titles related to Computer Science Professor jobs in El Paso, TX? For Computer Science Professor jobs in El Paso, TX, the most frequently searched job titles are:
What job categories do people searching Computer Science Professor jobs in El Paso, TX look for? The top searched job categories for Computer Science Professor jobs in El Paso, TX are:
What cities near El Paso, TX are hiring for Computer Science Professor jobs? Cities near El Paso, TX with the most Computer Science Professor job openings:
Infographic showing various Computer Science Professor job openings in El Paso, TX as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 15% Part Time, 3% Contract, and 1% Nights. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $114,513 per year, or $55.1 per hour.

Research Assistant Prof. in Artificial Intelligence for Semiconductor & Robotic Engr. (2 Positions)

The University of Texas at El Paso

El Paso, TX • On-site

Full-time

Re-posted 27 days ago


Job description

Job Summary:
The University of Texas at El Paso is seeking two non-tenure-track Research Assistant Professors in Artificial Intelligence for Semiconductor Manufacturing and/or AI Robotics. The role involves leading research initiatives, applying AI in robotics for manufacturing, and mentoring students while contributing to the department's mission as an R1 institution.
Responsibilities:
• Research: Lead and collaborate on topics in yield and defect causal analysis, intelligent scheduling & multi-objective optimization (real-time dispatching under dynamic constraints), Virtual Metrology (VM), predictive maintenance (PdM) & remaining useful life (RUL), digital twins / smart manufacturing, and uncertainty calibration & trustworthy AI (e.g., conformal prediction).
• AI Robotics in Fabs: Apply perception, planning, and control to cleanroom logistics (AMR/AGV), vision-based inspection, equipment upkeep, and safe human-robot collaboration.
• Funding & Industry: Co-lead or lead proposals (NSF/DOE/DoD, state, industry); execute PoCs and tech transfer with foundries, equipment/materials/metrology vendors.
• Data & Platforms: Establish robust data governance and MLOps pipelines; develop reusable algorithms and prototype systems (including robotics perception/planning stacks).
• Mentoring: Supervise MS/PhD students; co-author high-impact publications.
• Service: Support program development, workshops/symposia, and departmental needs (including ABET support as appropriate).
Qualifications:
Required:
• A Ph.D. in Manufacturing Engineering or related fields, including Industrial, Mechanical, Aerospace, Electrical Engineering, and Computer Science.
• Commitment to undergraduate and graduate education.
• Demonstrated expertise in machine learning/deep learning and software development (Python; PyTorch/TensorFlow).
• Peer-reviewed publications and strong scientific writing skills; ability to draft competitive research proposals.
• Demonstrated potential for establishing an extramurally funded research program.
• Excellent communication skills.
Preferred:
• AI Robotics: ROS/ROS2, Python, perception (CV/multimodal), motion/task planning, control & safety, simulation (Gazebo/Isaac Sim), and edge deployment.
• Semiconductor manufacturing experience (front-/back-end, metrology/inspection, equipment maintenance, yield-improvement projects).
• Digital twin, IIoT, MLOps, real-time data streaming, edge computing.
• Causal/XAI, Bayesian methods, reinforcement learning, multi-objective optimization (mathematical programming, heuristics/meta-heuristics).
• Proven success as PI/co-PI or primary writer on large proposals (e.g., NSF/DOE/DoD/state/industry), and/or prior experience writing/executing Other Country NSTC/MOST grants or similar programs.
• Experience in course design, supervising students, and leading hands-on projects.
Company:
The University of Texas at El Paso. Founded in 1913, the company is headquartered in El Paso, USA, with a team of 1001-5000 employees. The company is currently Late Stage.