1

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

... science and technology sector. In this role, you'll apply your expertise to help train next ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

Delineate between substantive scientific issues and stylistic or cosmetic matters, providing ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

Delineate between substantive scientific issues and stylistic or cosmetic matters, providing ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

Post Doctoral

Las Cruces, NM · On-site

$48K - $65K/yr

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

Post Doctoral

Las Cruces, NM · On-site

$48K - $65K/yr

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

Phd Computer Science information

See El Paso, TX salary details

$51.1K

$75.2K

$88.6K

How much do phd computer science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for phd computer science in El Paso, TX is $75,167.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,100.00 and $84,600.00 per year, depending on experience, location, and employer.

What is a PhD in computer science?

A PhD in Computer Science is the highest academic degree in the field, focused on advanced research and the creation of new knowledge in computing. It typically involves several years of coursework followed by original research culminating in a dissertation. Graduates often pursue careers in academia, research, or advanced industry roles that require deep technical expertise and problem-solving skills.

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

To thrive as a PhD in Computer Science, you need advanced expertise in algorithms, programming, and research methodologies, typically supported by a doctoral degree in computer science or a related field. Mastery of programming languages (such as Python, Java, or C++), data analysis tools, and familiarity with version control systems like Git are commonly required, along with experience in publishing academic research. Critical thinking, problem-solving, strong written and verbal communication, and perseverance are vital soft skills for success in research and collaboration. These skills and qualifications are essential for making significant contributions to the field, driving innovation, and effectively sharing knowledge with the academic and professional community.

What are some common challenges faced by PhD computer science students during their research?

PhD Computer Science students often encounter challenges such as defining a clear and impactful research problem, managing long-term projects with limited guidance, and coping with the pressure to publish in top-tier conferences or journals. Balancing coursework, teaching responsibilities, and research can also be demanding. Effective time management, networking with peers and mentors, and seeking regular feedback can help students navigate these challenges and achieve their academic goals.

Is a PhD worth it for computer science?

A PhD in computer science can lead to careers in research, academia, or specialized industry roles, often requiring advanced skills in algorithms, data analysis, and programming. While it offers opportunities for high-level positions and expertise, it typically involves several years of study and may not be necessary for most industry jobs, which often value practical experience and skills. The decision depends on career goals and the desire for research or teaching roles.

What can I do after a PhD in computer science?

A PhD in computer science prepares individuals for careers in academia, research, or advanced industry roles such as data scientist, machine learning engineer, or software architect. Graduates often pursue postdoctoral research, work in R&D departments, or obtain certifications in specialized tools and programming languages to enhance their expertise.

What jobs can I get with a PhD in computer science?

A PhD in computer science qualifies individuals for advanced roles such as research scientist, data scientist, machine learning engineer, or university professor. These positions often require strong analytical skills, programming expertise, and knowledge of algorithms, data structures, and AI tools. Graduates may work in academia, industry research labs, or technology companies focusing on innovation and development.

What are popular job titles related to Phd Computer Science jobs in El Paso, TX?

For Phd Computer Science jobs in El Paso, TX, the most frequently searched job titles are:

What job categories do people searching Phd Computer Science jobs in El Paso, TX look for?

The top searched job categories for Phd Computer Science jobs in El Paso, TX are:

What cities near El Paso, TX are hiring for Phd Computer Science jobs?

Cities near El Paso, TX with the most Phd Computer Science job openings:

Infographic showing various Phd Computer Science job openings in El Paso, TX as of August 2026, with employment types broken down into 8% Internship, 76% Full Time, 7% Part Time, and 9% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $75,167 per year, or $36.1 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 3 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.