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Computer Science Faculty Jobs in Freehold, NJ (NOW HIRING)

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Computer Science Faculty information

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$56.6K

$83.2K

$98.1K

How much do computer science faculty jobs pay per year?

As of Sep 7, 2026, the average yearly pay for computer science faculty in Freehold, NJ is $83,236.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,600.00 and $93,600.00 per year, depending on experience, location, and employer.

What is a computer science faculty?

Computer Science Faculty are educators and researchers who teach computer science courses at colleges or universities. They develop curriculum, deliver lectures, guide students in labs, and advise on academic matters. In addition to teaching, they often conduct research, publish scholarly articles, and contribute to advancements in the field. Their roles may also include participating in departmental service, mentoring students, and collaborating with industry partners. Computer Science Faculty play a critical role in shaping future technology professionals and researchers.

What are some of the common challenges computer science faculty face when balancing teaching, research, and service responsibilities?

Computer Science Faculty often juggle multiple responsibilities, including preparing and delivering lectures, conducting research, publishing papers, advising students, and participating in departmental or university service. Balancing these diverse tasks can be challenging, especially during peak times like grading periods or grant application deadlines. Effective time management, clear communication with colleagues, and leveraging institutional support are essential strategies to manage these competing demands. Many institutions also encourage collaboration among faculty to share resources and lighten individual workloads.

What are the key skills and qualifications needed to thrive as a computer science faculty, and why are they important?

To thrive as a Computer Science Faculty, you need advanced knowledge of computer science concepts, a relevant graduate degree (often a Ph.D.), and experience in teaching or research. Familiarity with programming languages, learning management systems (LMS), and research tools like version control systems or data analysis software is typically required. Strong communication, mentorship, and organizational skills help faculty engage and inspire students while collaborating with colleagues. These skills and qualities are crucial for delivering high-quality education, fostering student success, and advancing research initiatives in academic settings.

What is the difference between Computer Science Faculty vs Computer Science Lecturer?

AspectComputer Science FacultyComputer Science Lecturer
Required CredentialsTypically PhD in Computer Science or related fieldMaster's degree or equivalent in Computer Science or related field
Work EnvironmentUniversities, colleges, research institutionsUniversities, colleges, technical institutes
Employer & Industry UsageHigher education institutions, research-focusedHigher education institutions, teaching-focused
Common Search & Comparison IntentAcademic roles, research, teaching responsibilitiesTeaching roles, academic positions, entry to mid-level faculty

Computer Science Faculty generally hold doctoral degrees and focus on both teaching and research at universities. In contrast, Computer Science Lecturers often have master's degrees and primarily focus on teaching undergraduate courses. Both roles are found in higher education but differ in qualifications, responsibilities, and career paths.

What job categories do people searching Computer Science Faculty jobs in Freehold, NJ look for?

The top searched job categories for Computer Science Faculty jobs in Freehold, NJ are:

What cities near Freehold, NJ are hiring for Computer Science Faculty jobs?

Cities near Freehold, NJ with the most Computer Science Faculty job openings:

Computer Science Faculty jobs near you

Adjunct Associate Faculty, Applied Generative AI (On-Campus, Fall '26)

Columbia University

New York, NY • On-site

$2.0K - $3.0K/wk

Part-time

Re-posted 12 days ago

Job description

Company Description

Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society.

The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through twenty professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good.

Job Description

Seeking analytics professionals to serve as a part-time Associate for a graduate-level course on Applied Generative AI. An Associate is a faculty line junior to a Lecturer, that provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University.

The Applied Generative AI course provides students with a comprehensive introduction to a branch of machine learning called generative modeling, focusing on the underlying concepts, theoretical techniques, and practical applications. Students will learn to use, fine-tune, and programmatically interface with high-level APIs and open-source foundational models, allowing them to leverage state-of-the-art tools in Generative AI. Additionally, the course delves into the theory and practice of low-level implementations, empowering students to train their own models on their own data and understand these models from first principles. The course covers various types of generative models, including Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and Transformers with their applications to text, image, audio, and video generation.

Responsibilities

  • Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions.

  • Evaluate, grade student work and assessments as requested by the course Lecturer.

  • Monitor and address student concerns and inquiries.

Qualifications

Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. 

Requirements

  • Graduate degree in an area related to Machine Learning, Computer Science, Applied Mathematics, or related field.

  • 3+ years of related applied professional experience.

Preferred Skills & Experience

  • Programming experience in Python and experience with major deep learning frameworks such as PyTorch or TensorFlow.

  • Knowledge of deep learning architectures, such as CNNs, VAEs, GANs, and RNNs. 

  • Experience with deploying code on cloud platforms such as AWS, GCP, or Azure. 

  • Knowledge of Mathematics and Probability concepts used in machine learning, including

  • Optimization, Gradient Descent, Conditional Probability, Bayes Theorem, and Normal Distribution. 

Additional Information

Salary range: $2,000 - $3,000 per semester long course
Please submit a resume inclusive of university teaching experience.

All your information will be kept confidential according to EEO guidelines.

Columbia University is an Equal Opportunity Employer / Disability / Veteran

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