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Phd Computer Science Jobs in Murfreesboro, TN (NOW HIRING)

Fisk University

Chemistry Laboratory Manager

Nashville, TN · On-site

$45K - $50K/yr

The Department of Life and Physical Sciences Department at Fisk University is seeking a full-time ... strong computer skills in using Word and Excel. PREFERRED QUALIFICATIONS: · Master's or PhD in ...

Deloitte

AI Engineer Consultant

Nashville, TN · Hybrid

Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science ... Advanced degree (MS/PhD) and/or relevant certifications (cloud and AI/ML). * 2+ years of experience ...

Whisper Aero

Senior Mechanical Test Engineer

Nashville, TN · On-site

$100K - $133K/yr

MS in Aerospace, Mechanical, Electrical Engineering, Computer Science, Physics, or a related field with 4+ years of ground testing experience; PhD with 2+ years of experience; BS in Engineering with ...

DXC Technology

AI Lead Engineer

Nashville, TN · On-site

$99K - $130K/yr

... PhD degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience. Company : DXC Technology is an IT and consulting services company that offers insurance ...

Oracle

Senior Principal SDE

Nashville, TN · On-site

$121K - $167K/yr

A BS, MS, or PhD in Computer Science or Computer Engineering, or equivalent practical experience. * 10+ years of full stack software development, including design, implementation, and operation of ...

DXC Technology

AI Lead Engineer

Nashville, TN · On-site

$99K - $130K/yr

Bachelor's, Master's, or PhD degreein Computer Science, Engineering, or a related discipline, or equivalent practical experience. At DXC Technology, we believe strong connections and community are ...

VIRTUAL CLARITY LIMITED

AI Lead Engineer

Nashville, TN · On-site

$99K - $130K/yr

Bachelor's, Master's, or PhD degreein Computer Science, Engineering, or a related discipline, or equivalent practical experience. At DXC Technology, we believe strong connections and community are ...

DXC Technology

AI Lead Engineer

Nashville, TN · On-site

$99K - $130K/yr

Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience. At DXC Technology, we believe strong connections and community are ...

Meharry Medical College

Postdoctoral Fellow

Nashville, TN · On-site

$47K - $64K/yr

... data via computer; analyzes, interprets and verifies data. * Conducts advanced research in ... A PhD (Biochemistry/Biomedical Sciences/Microbiology) and minimum of 2-3 years of post-doctoral ...

Meharry Medical College

Postdoctoral Fellow

Nashville, TN · On-site

$47K - $64K/yr

... data via computer; analyzes, interprets and verifies data. * Conducts advanced research in ... A PhD (Biochemistry/Biomedical Sciences/Microbiology) and minimum of 2-3 years of post-doctoral ...

Meharry Medical College

Postdoctoral Fellow

Nashville, TN · On-site

$47K - $64K/yr

... data via computer; analyzes, interprets and verifies data. * Conducts advanced research in ... A PhD (Biochemistry/Biomedical Sciences/Microbiology) and minimum of 2-3 years of post-doctoral ...

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Showing results 21-40

All JobsPhd Computer Science JobsPhd Computer Science Jobs in Murfreesboro, TN

Phd Computer Science information

See Murfreesboro, TN salary details

$49.9K

$73.3K

$86.5K

How much do phd computer science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for phd computer science in Murfreesboro, TN is $73,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,400.00 and $82,500.00 per year, depending on experience, location, and employer.

Is a PhD worth it for computer science?

A PhD in computer science can lead to careers in research, academia, 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. However, it may not be necessary for most industry jobs, which often prioritize skills and experience over advanced degrees.

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 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 jobs can I get with a PhD in computer science?

A PhD in computer science qualifies individuals for research positions, university faculty roles, and advanced roles in industry such as data scientist, machine learning engineer, or AI researcher. These roles often require strong programming skills, knowledge of algorithms, and experience with tools like Python, TensorFlow, or cloud platforms.
What are popular job titles related to Phd Computer Science jobs in Murfreesboro, TN? For Phd Computer Science jobs in Murfreesboro, TN, the most frequently searched job titles are:
What cities near Murfreesboro, TN are hiring for Phd Computer Science jobs? Cities near Murfreesboro, TN with the most Phd Computer Science job openings:
Phd Computer Science jobs near you
Infographic showing various Phd Computer Science job openings in Murfreesboro, TN as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $73,341 per year, or $35.3 per hour.

MRI Technical Engineer

Sapsol Technologies Inc

Nashville, TN

Contractor

Re-posted 2 days ago

Job description

Role Summary

This role supports the development, integration, and validation of advanced MRI methods across two research workstreams:

  • Oscillating Gradient Diffusion (OGSE/OGD) in collaboration with Vanderbilt University, and
  • FLORETbased UTE imaging (nonCartesian) in collaboration with Cincinnati Children's Hospital.

The engineer will coordinate program execution while contributing technically to pulse sequence implementation, image reconstruction and software refinement, and data processing within the Philips MRI research environment. The emphasis is on program oversight, technical coordination, and collaborative execution, rather than independent subjectmatter leadership in diffusion MRI or FLORET.

Note: This role focuses on technical engagement and delivery. It does not include clinical trial operations or regulatory ownership.

Core Responsibilities

A) Technical Development - Pulse Sequence (OGSE/OGD)

  • Refine and extend existing OGSE pulse sequence code in the Philips research environment.
  • Implement additional features, improve robustness, and ensure correct sequence functionality.
  • Support deployment and onscanner integration on Philips MRI systems.
  • Contribute to related data processing and image reconstruction workflows when required.

B) Image Reconstruction & Software Development (FLORET / NonCartesian)

  • Implement and validate nonCartesian MRI reconstruction pipelines (including those supporting FLORET UTE acquisitions).
  • Support software deployment and integration of reconstruction tools within Philips research systems.
  • Refine reconstruction workflows, add new features, and improve system interfaces and usability.
  • Perform data validation and quality checks; evaluate reconstruction stability and artifact behavior.

C) Experimental Collaboration & Validation

  • Coordinate experiment planning with Vanderbilt researchers, Cincinnati Children's teams, and clinical MRI staff.
  • Support execution of scanner experiments as needed.
  • Assist with validation of OGSE and FLORET acquisition outputs through systematic testing and comparative analysis.
  • Prepare technical validation summaries/reports and ensure outputs align with program deliverables and milestones.
  • Document results, assumptions, and change histories with strong discipline.

Qualifications

Required

  • Strong familiarity with vendorspecific MRI pulse sequence programming (preferably Philips research environments).
  • Solid foundations in MRI reconstruction, including nonCartesian methods, and software engineering.
  • Handson experience with C++ / Python / MATLAB for algorithm and tooling development.
  • Ability to collaborate effectively across industry and academic partners; clear written and verbal communication.
  • Proven ability to operate under hardware constraints and in structured, sprintbased execution models.

Preferred

  • Master's or PhD in MRI Physics, Biomedical Engineering, Medical Physics, Electrical Engineering, Computer Science, or related field.
  • Experience with Philips MRI research environments (e.g., research interfaces, integration workflows).
  • Exposure to OGSE/OGD diffusion methods and/or FLORET UTE imaging (deep expertise not required).
  • Experience with MRI data processing, QA/QC, and validation workflows.

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