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Phd Computer Science Jobs in Monroe, NC (NOW HIRING)

Bachelor's, Master's degree or higher in Computer Science, Machine Learning, or a related quantitative field; PhD preferred * Minimum 8 years of experience in industry with a strong focus on applied ...

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Bachelor's, Master's degree or higher in Computer Science, Machine Learning, or a related quantitative field; PhD preferred * Minimum 8 years of experience in industry with a strong focus on applied ...

... PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering 2. 7+ years of experience in Banking, Finance, Decision/Data Science, Analytics ...

Required : • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that ...

... 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 ...

... PHD degree in at least one of the following fields of study: Computer and Information Science, Computer Engineering, Computer Management, Computer Science, Engineering, Geography, Geological ...

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Showing results 21-40

Phd Computer Science information

See Monroe, NC salary details

$52.4K

$77.1K

$90.9K

How much do phd computer science jobs pay per year?

As of Aug 21, 2026, the average yearly pay for phd computer science in Monroe, NC is $77,051.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,900.00 and $86,700.00 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 job categories do people searching Phd Computer Science jobs in Monroe, NC look for?

The top searched job categories for Phd Computer Science jobs in Monroe, NC are:

What cities near Monroe, NC are hiring for Phd Computer Science jobs?

Cities near Monroe, NC with the most Phd Computer Science job openings:

Infographic showing various Phd Computer Science job openings in Monroe, NC as of August 2026, with employment types broken down into 8% Internship, 73% Full Time, 11% Part Time, and 8% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $77,051 per year, or $37 per hour.

Artificial Intelligence Research Scientist

Joe Gibbs Racing

Huntersville, NC • On-site

$105 - $150/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

The AI Group at the Joe Gibbs Human Performance Institute (JGHPI) is offering a full-time position dedicated to tackling projects for our race team. Joe Gibbs Racing (JGR) oversees a wide range of processes across multiple disciplines, all of which converge on race day performance. Many of these processes require, or can be enhanced by, the application of AI-driven modeling techniques. We are seeking a candidate with a strong background in deep learning and hands‑on experience with modern neural network architectures, including graph neural networks and transformers.

About Us

JGHPI is at the forefront of biomechanical engineering research, striving to unravel the complexities of human movement. Our multidisciplinary team is dedicated to pioneering advanced data acquisition systems and leveraging machine learning, with a heavy focus on deep learning specifically, and other innovative technologies to enhance our understanding of human performance.

Location and Dates

Joe Gibbs Racing, 13415 Reese Blvd W, Huntersville, NC 28078

  • Hybrid (within Charlotte/Huntersville area)
  • Full-time: 40 hours per week
RESPONSIBILITIES
  • Collaborate with different JGR departments on interdisciplinary projects.
  • Work directly with the JGR analytics group for data pipelining and engineering.
  • Apply data analytics to interpret complex datasets and derive actionable insights.
  • Participate in the entire research cycle from problem formulation to experimental design and analysis.
  • Assist in the preparation and delivery of reports and presentations to communicate findings.
Requirements and Qualifications
  • MSc or PhD (at least expected by May 2026) in mathematics or computer science or a related field
  • Eligible to work in the United States
  • Familiarity with various neural network architectures (LSTM, CNN, GNN, transformers, etc.)
  • Coding experience with PyTorch and/or PyTorch Geometric
Preferred Skills and Experience
  • Practical experience with a containerization platform (e.g. Docker)
  • Experience with AWS Sagemaker for data processing and model training
  • Familiarity with Git best practices
  • Proactive and independent work ethic within a professional environment
  • Ability to collaborate effectively in a multidisciplinary team setting
Diversity Statement

At the Joe Gibbs Human Performance Institute, we are committed to fostering a diverse and inclusive environment. We believe that many perspectives enrich our research and reflect the varied tapestry of human movement we study. We provide equal opportunities for all students, recognizing that innovation thrives on the unique contributions of individuals from all backgrounds.

We encourage applications from people of all races, genders, ethnicities, abilities, ages, religions, sexual orientations, and veteran statuses. Our institute is a place where your identity and contributions are valued, and where everyone can feel empowered to bring their authentic selves to our team. By embracing diversity, we aim to create a working experience that is as multifaceted and dynamic as the human performance we seek to optimize.

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