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Phd Computer Science Jobs in Tennessee (NOW HIRING)

Basic Qualifications * A BS degree in computer science, computer engineering, information ... PhD holders: 4-6 years of relevant experience. * Five (5) or more years managing UNIX/Linux systems.

Basic Qualifications: * A BS degree in computer science, computer engineering, information ... PhD holders should have a minimum of four (4) to six (6) years of relevant and aligned experience.

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Phd Computer Science information

See Tennessee salary details

$51.3K

$75.4K

$88.9K

How much do phd computer science jobs pay per year?

As of Jul 12, 2026, the average yearly pay for phd computer science in Tennessee is $75,431.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,300.00 and $84,900.00 per year, depending on experience, location, and employer.

Is a PhD worth it for CS?

A PhD in Computer Science can lead to careers in academia, research, or specialized industry roles requiring advanced expertise. It typically involves several years of study and research, and is valuable for positions that demand deep technical knowledge or innovation, but may not be necessary for most industry jobs that prioritize skills and experience. The decision depends on career goals and the value placed on research and academic credentials.

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.

What is the salary of a computer PhD?

A computer science PhD typically earns between $80,000 and $150,000 annually, depending on the industry, location, and experience level. Academic roles may have lower salaries, while industry positions in tech companies tend to offer higher compensation, often including bonuses and stock options.

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, and why are they important?

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.

Which CS has the highest salary?

In computer science, roles such as machine learning engineers, data scientists, and AI specialists tend to have the highest salaries due to high demand for expertise in artificial intelligence and data analysis. Senior positions with advanced skills in programming, algorithms, and cloud computing typically command top compensation, especially in tech hubs and large organizations.

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 cities in Tennessee are hiring for Phd Computer Science jobs? Cities in Tennessee with the most Phd Computer Science job openings:
Infographic showing various Phd Computer Science job openings in Tennessee as of July 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution, with an average salary of $75,431 per year, or $36.3 per hour.
Data at Nashville, Tennessee

Data at Nashville, Tennessee

disABLEDperson Inc

Nashville, TN โ€ข On-site

Other

Posted 3 days ago


Job description

Data Scientist

The Data Scientist applies advanced statistical methods, machine learning techniques, computational modeling, and artificial intelligence approaches to characterize, predict, and optimize research findings. This role collaborates with interdisciplinary research teams to develop analytical solutions, create reproducible data pipelines, and communicate results through scientific visualizations, technical reports, and data-driven recommendations.

About the Work Unit: The internationally renowned Department of Psychology houses several award-winning professors who are distinguished scholars in their respective fields and who are dedicated to providing world-class education and training to our undergraduate and graduate students. While our course curriculum encompasses all the sub-disciplines of Psychology, the research of our faculty centers around three major areas: Clinical Science, Cognition and Cognitive Neurosciences, and Neuroscience.

Key Functions and Expected Performance:

  • Conducts advanced computational analyses of human behavioral and neuroscience datasets to support research initiatives.
  • Performs data preprocessing, cleaning, organization, quality assessment, and transformation to prepare data for statistical and computational analysis.
  • Applies advanced statistical methodologies, machine learning algorithms, and AI models to identify patterns, generate predictions, and evaluate research outcomes.
  • Develops computational models and analytical frameworks to characterize relationships between human data and artificial intelligence-based models.
  • Designs, implements, and maintains data workflows, analytical pipelines, and reproducible computational processes.
  • Analyzes datasets to identify trends, opportunities, and insights that support institutional and research goals.
  • Creates scientific figures, data visualizations, and analytical summaries to communicate complex findings effectively.
  • Documents analytical methodologies, computational approaches, code, and research workflows.
  • Produces detailed technical reports describing analysis results, interpretations, and recommendations.
  • Collaborates with faculty researchers, laboratory personnel, and interdisciplinary teams to define project objectives and deliver analytical support.
  • Communicates findings and recommendations to key stakeholders, research partners, and university leadership.
  • Coordinates moderately complex analytics projects by managing timelines, deliverables, and communication across research teams.
  • Provides weekly project updates summarizing completed analyses, progress toward objectives, challenges, and upcoming goals.
  • Recommends improvements to data systems, analytical processes, and research methodologies based on benchmarking and performance evaluation.
  • Ensures compliance with data privacy standards by working exclusively with appropriately anonymized human research data.
  • Shares relevant code, analytical tools, and computational pipelines developed through research activities with collaborating laboratories.

Supervisory Relationships: This position does not have supervisory responsibility. This position reports administratively to the Administrative Manager and functionally to the PI.

Education and Certifications: Master's or PhD degree in data science, Computer Science, Statistics, Mathematics, Neuroscience, Psychology, Engineering, or a related quantitative field.

Experience and Skills:

  • 4 or more years of experience performing data analysis, statistical modeling, machine learning, computational research, or related technical work
  • Basic data science and statistics

Key Characteristics of a Successful Team Member in this Work Unit: Analytical and Detail Oriented Autonomous Creative Thinking and Independent Problem Solving Honest and Transparent Resilient

About Us At Vanderbilt University, our work - regardless of title or role - is in service to an important and noble mission in which every member of our community serves in advancing knowledge and transforming lives on a daily basis. Located in Nashville, Tennessee, on a 330+ acre campus and arboretum dating back to 1873, Vanderbilt is proud to have been named as one of "America's Best Large Employers" as well as a top employer in Tennessee and the Nashville metropolitan area by Forbes for several years running. We welcome those who are interested in learning and growing professionally with an employer that strives to create, foster and sustain opportunities as an employer of choice. We understand you have a choice when choosing where to work and pursue a career. We understand you are unique and have a story. We want to hear it. We encourage you to apply today so that you might become a part of our story. Vanderbilt University is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran, or any other characteristic protected by law.