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Phd Computer Science Jobs in Alabama (NOW HIRING)

Camgian Corporation

Senior AI Engineer

Huntsville, AL · On-site

$103K - $141K/yr

Master's or PhD in a computer science related discipline * Experience with developing and deploying ML models into products and services * Experience with AI frameworks such as TensorFlow, PyTorch ...

Camgian Corporation

Senior AI Engineer

Huntsville, AL · On-site

$103K - $141K/yr

Master's or PhD in a computer science related discipline * Experience with developing and deploying ML models into products and services * Experience with AI frameworks such as TensorFlow, PyTorch ...

4M Research, Inc.

Senior Test Engineer

Huntsville, AL · On-site

... with PhD.Test Engineer 5: 14 Years with Bachelors or; 12 Years with Masters or; 9 Years with ... BS STEM degree in Computer Science, Software Engineering, Math or other related discipline.Years of ...

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How much do phd computer science jobs pay per year?

As of Sep 2, 2026, the average yearly pay for phd computer science in Alabama is $75,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,200.00 and $84,700.00 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 are popular job titles related to Phd Computer Science jobs in Alabama?

For Phd Computer Science jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Phd Computer Science jobs in Alabama look for?

The top searched job categories for Phd Computer Science jobs in Alabama are:

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Infographic showing various Phd Computer Science job openings in Alabama as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $75,329 per year, or $36.2 per hour.

Radar Algorithm Developer

IERUS Technologies, Inc.

Huntsville, AL • On-site

Full-time

Retirement

Re-posted 13 days ago

Job description

Job Description
IERUS specializes in technology research, testing, and implementation with core competencies in electromagnetics phenomenology, computational analytics (algorithm acceleration and machine learning), and weapon system engineering. IERUS develops value for our defense and commercial customers through accelerations of the technology life cycle: identifying, creating, transitioning, and producing technologies with integrity of purpose and product. IERUS offers competitive compensation packages, retirement options, and benefits packages. To learn more, please visit www.ierustech.com.
IERUS participates in projects that address weapon systems engineering and the application of advanced machine learning (ML) and artificial intelligence (AI) techniques as well as RF/Optical hardware prototyping and low rate production. We generally seek to apply agile development fundamentals across our corporate portfolio to accelerate technology development timelines. The end goal being early discovery, accelerated development, and high customer engagement.
IERUS participates in projects that seek to apply advanced machine-learning (ML) and artificial intelligence (AI) to our relevant domains of expertise. Past and present areas of expertise for application of ML/AI include:
  • RADAR
    • Signal processing, system design, operational optimization, detection, discrimination, and tracking
  • RF/EO/IR
    • Signal processing, system design, signatures, tracking, and testing
  • Electronic Warfare (EW)
    • System design, research, testing, counter-measures
  • Antennas
    • System design and testing
  • Image processing
    • Segmentation, recognition, and denoising
  • Critical infrastructures
    • Process control systems, situational awareness, cyber security, anomaly detection
  • Vehicles and vessels
    • Situational awareness, cyber security, anomaly detection
  • ML/AI R&D
    • Algorithm development, GPU acceleration, global and local optimization of complex and fused data, adversarial ML, network architecture and computability

Minimum Educational Experience:
  • MS degree in Electrical Engineering, Computer Science, Applied Mathematics, Statistics, or related field, plus 2+ years of experience in applying engineering solutions featuring AI/machine-learning, to the problem types described above
  • OR: BS degree in Electrical Engineering, Computer Engineering, or Computer Science plus 3+ years' experience in applying engineering solutions featuring AI/machine-learning, to the problem types described above

Minimum Qualifications:
  • Must be a U.S. citizen;
  • Active Secret security clearance, preferred TS clearance and TS/SCI opportunities;
  • Experience implementing machine learning solutions for engineering and scientific domains. Should be familiar with related implementation tasks such as feature selection, regression, classification, sensor-fusion, time-series analysis, missing data, optimization, recommender systems, etc.;
  • Mastery of rapid prototyping in at least 1 (preferably 2 or more) of the following scripting languages: Python, R, MATLAB, etc.;
  • Experience implementing solutions using at least 2 of the following supervised methods: SVM/SVR, fuzzy systems (TSK, etc.), tree ensemble methods (Bayesian, bagging, boosting, etc.), NNs (supervised), others;
  • Experience applying advanced math and statistics, especially optimization and related linear algebra techniques.

Preferred Qualifications:
  • PhD in Electrical Engineering, Computer Science, Computer Engineering or related field;
  • Proficiency in at least 1 hard programming language (C/C++, Java, etc.);
  • Experience implementing solutions using any of the following unsupervised methods: Clustering (k-nearest neighbor, DBSCAN, Dirichlet, etc.), autocorrelation, Deep learning methods (DNNs, CNNs, RNNs, LSTMs, etc.) and packages (TensorFlow, Theano, Torch, Caffe, Neon, etc.), GMMs, HMMs, etc.;
  • Experience with Government funding agencies and programs (e.g. DARPA, IARPA, AFRL, SBIR/STTR, RiF, etc.);
  • Publication and/or patent history of applying original solutions to relevant types of problems;
  • Experience implementing solutions using signal processing algorithms and packages;
  • TS/SCI clearance;
  • Engineering experience in the defense industry;
  • Image processing experience;
  • Radar system analysis experience;
  • RF Electronics experience;
  • Antenna design and analysis experience;
  • Software Defined Radio (SDR) experience;
  • Analysis tool-building experience;
  • Target acquisition, tracking and/or algorithm development;
  • Advanced modeling skills and optimization;
  • Knowledge of domain specific RADAR principles, including signal processing, RCS analysis, target acquisition; target tracking, resource management, discrimination, and battle manager interfaces; and / or
  • Experience with GMD/BMDS systems, BMDS radar systems, radar simulation tests and or radar metrics.

Location:
Huntsville, AL
IERUS Technologies is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other federally protected class.
IERUS Technologies participates in E-Verify.

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