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Associate Professor Computer Science Jobs in Syracuse, NY

Howard

Assistant Professor

Locke, NY

... or Associate Professor position. The department seeks candidates with research expertise and ... Ph.D. in Mathematics, Applied Mathematics, Computer Science, Data Science, Artificial Intelligence ...

Howard

Associate Dean

Locke, NY

The College of Arts and Sciences (COAS) invites applications for Associate Dean for Research and ... rank of tenured full professor. The successful candidate will have also served as Principal ...

micro1 AI

AI Training Specialist - Physics

Syracuse, NY · On-site +1

$80 - $150/hr

... professor) to participate in a high-impact project supporting a customer in the science and ... Reliable access to high-speed internet and a computer suitable for rigorous technical work.

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All JobsAssociate Professor Computer Science JobsAssociate Professor Computer Science Jobs in Syracuse, NY

Associate Professor Computer Science information

See Syracuse, NY salary details

$41K

$87.3K

$152.6K

How much do associate professor computer science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for associate professor computer science in Syracuse, NY is $87,260.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,300.00 and $111,200.00 per year, depending on experience, location, and employer.

What does an associate professor of computer science do?

An Associate Professor of Computer Science is a mid-level faculty member at a college or university who teaches undergraduate and graduate courses, conducts research in computer science, and publishes scholarly work. They also supervise students, mentor junior faculty, and may participate in curriculum development and academic committees. In addition to teaching and research, Associate Professors often contribute to their academic community through service, such as organizing conferences or reviewing papers. Promotion to this rank usually follows demonstrated excellence in teaching, research, and service over several years as an Assistant Professor.

What are the key skills and qualifications needed to thrive as an associate professor of computer science, and why are they important?

To thrive as an Associate Professor of Computer Science, you need an advanced degree (typically a PhD) in computer science or a related field, with a strong track record in research, teaching, and publications. Familiarity with programming languages, learning management systems (such as Canvas or Blackboard), and research tools like MATLAB or Python is typically required. Excellent communication, mentorship, and collaboration skills help foster student engagement and interdisciplinary partnerships. These competencies are crucial for advancing research, delivering effective instruction, and contributing to the academic community.

What opportunities for interdisciplinary collaboration are available to associate professors in computer science?

As an Associate Professor in Computer Science, you will often have the chance to collaborate with faculty and researchers from various departments such as engineering, medicine, business, and the social sciences. Many universities encourage interdisciplinary projects, allowing you to contribute your computing expertise to diverse research initiatives. These collaborations can enhance your research portfolio and open up new funding opportunities. Additionally, interdisciplinary work often leads to broader impacts and can help build professional networks both within and outside your institution.

What is the difference between Associate Professor Computer Science vs Assistant Professor Computer Science?

CriteriaAssociate Professor Computer ScienceAssistant Professor Computer Science
Required CredentialsPh.D. in Computer Science or related field, significant research and teaching experiencePh.D. in Computer Science or related field, typically early in academic career
Work EnvironmentUniversity faculty, research, teaching, service responsibilitiesUniversity faculty, research, teaching, service responsibilities
Employer & Industry UsageHigher academic rank, more responsibilities, often involved in departmental leadershipEntry-level faculty position, focus on establishing research and teaching

The main difference between Associate Professor Computer Science and Assistant Professor Computer Science lies in experience and rank. Associate Professors have more research, teaching, and service experience, often holding a higher academic rank with additional responsibilities. Assistant Professors are typically early-career faculty members working towards promotion. Both roles require a Ph.D. and are common in university settings, but the Associate Professor position signifies a more advanced career stage.

What are popular job titles related to Associate Professor Computer Science jobs in Syracuse, NY?

For Associate Professor Computer Science jobs in Syracuse, NY, the most frequently searched job titles are:

What job categories do people searching Associate Professor Computer Science jobs in Syracuse, NY look for?

The top searched job categories for Associate Professor Computer Science jobs in Syracuse, NY are:

What cities near Syracuse, NY are hiring for Associate Professor Computer Science jobs?

Cities near Syracuse, NY with the most Associate Professor Computer Science job openings:

Associate Professor Computer Science jobs near you
Infographic showing various Associate Professor Computer Science job openings in Syracuse, NY as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 75% Physical, 2% Hybrid, and 23% Remote job distribution, with an average salary of $87,260 per year, or $42 per hour.

Assistant Professor

Howard

Locke, NY

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago

Job description

The Talent Acquisition department hires qualified candidates to fill positions which contribute to the overall strategic success of Howard University. Hiring staff "for fit" makes significant contributions to Howard University's overall mission.

At Howard University, we prioritize well-being and professional growth.

Here is what we offer:

  • Health & Wellness: Comprehensive medical, dental, and vision insurance, plus mental health support
  • Work-Life Balance: PTO, paid holidays, flexible work arrangements
  • Financial Wellness: Competitive salary, 403(b) with company match
  • Professional Development: Ongoing training, tuition reimbursement, and career advancement paths
  • Additional Perks: Wellness programs, commuter benefits, and a vibrant company culture

Join Howard University and thrive with us!

https://hr.howard.edu/benefits-wellness

The Department of Mathematics in the College of Arts and Sciences at Howard University invites applications for a full-time, tenure-track Assistant or Associate Professor position. The department seeks candidates with research expertise and teaching interests in mathematics enhanced artificial intelligence (AI), with applications to radiology, endocrinology, and related biomedical domains. The anticipated start date is August 2026.
This position is part of the Provost's Artificial Intelligence Cluster Hire Initiative and is embedded within the interdisciplinary cluster "Advancing Health through Mathematics-Enhanced AI for Radiology and Endocrinology", jointly led by the College of Arts and Sciences and the College of Medicine. The cluster aims to strengthen university-wide research capacity by recruiting faculty whose scholarship advances mathematical foundations, modeling, and computational methodologies that support AI-driven biomedical discovery, while fostering
collaboration across disciplines.


SUPERVISORY AUTHORITY: The successful candidate is expected to demonstrate a strong commitment to excellence in teaching, mentoring, and service. The faculty member will contribute to the growth of the Department of Mathematics' research and academic programs in data science, applied mathematics, and AI, and will actively participate in interdisciplinary initiatives across the university.


NATURE AND SCOPE:
From a mathematics-centered perspective, this position emphasizes the development and application of mathematical theory, statistical modeling, and computational methods that underpin modern AI and machine learning approaches in biomedical sciences. The cluster seeks to advance quantitative frameworks for imaging, inference, prediction, and decision-making in complex biological and clinical systems. The successful candidate will contribute to an interdisciplinary academic environment through research, teaching, mentorship, and collaboration. Responsibilities include leading independent and collaborative research programs at the interface of mathematics, AI, and biomedical
imaging; contributing to undergraduate and graduate curriculum development; mentoring students; and conducting research that addresses health disparities and promotes inclusive excellence.

PRINCIPAL ACCOUNTABILITIES:
Conduct high-quality, externally visible research in applied mathematics, machine learning, and artificial intelligence, with relevance to biology and medicine.
Develop and sustain an externally funded research program, including collaborative interdisciplinary projects.
Teach undergraduate and graduate courses in mathematics, data science, machine learning, and artificial intelligence.
Supervise and mentor undergraduate and graduate students, postdoctoral scholars, and junior researchers.
Collaborate with faculty across mathematics, medicine, and related disciplines to advance AI-enabled quantitative methods for biomedical applications.

CORE COMPETENCIES:
The Department of Mathematics particularly encourages applicants with expertise in one or more of the following areas:
Mathematical Foundations of AI and Machine Learning:
Optimization, statistical learning theory, inverse problems, uncertainty quantification, dynamical systems, or computational mathematics relevant to AI.
AI and Data-Driven Modeling in Biomedicine:
Development of mathematical and computational methods for imaging, neuroscience, endocrinology, diabetes, or other data-intensive biomedical domains.
Interdisciplinary Research and Collaboration:
Demonstrated ability to collaborate with clinicians, biologists, or engineers to develop mathematically grounded AI/ML approaches for complex biological and medical datasets.

MINIMUM REQUIREMENTS:
Ph.D. in Mathematics, Applied Mathematics, Computer Science, Data Science, Artificial Intelligence, or a closely related field.
Strong research record in mathematics-driven AI or ML, with applications to biology or medicine, evidenced by peer-reviewed publications.
Demonstrated ability or clear potential to secure external research funding.
Evidence of excellence or strong potential in undergraduate and graduate teaching.
Commitment to interdisciplinary collaboration, student mentorship, and advancing diversity, equity, and inclusion in teaching and research.

Compliance Salary Range Disclosure

Compensation Range: $135,000 - $150,000

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