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Lecturer In Computer Science Jobs in Reading, MA

The successful candidate will help launch and sustain the new BS in Applied Artificial Intelligence while teaching a subset of our Computer Science curriculum. This position has been designated as a ...

Bachelor's degree in Computer Science, Computer Engineering, or related fields * Strong programming skills in at least one high-level language (e.g., Python, MATLAB, Java, C/C++) * Demonstrated ...

Bachelor's degree in Computer Science, Computer Engineering, or related fields * Strong programming skills in at least one high-level language (e.g., Python, MATLAB, Java, C/C++) * Demonstrated ...

Computer Scientist

Lexington, MA ยท On-site

$100.20K - $120K/yr

Bachelor's degree in Computer Science, Computer Engineering, or related fields * Strong programming skills in at least one high-level language (e.g., Python, MATLAB, Java, C/C++) * Demonstrated ...

Candidates must have a graduate degree in engineering, computer science, or a related field ... Lecturer position is $12,725 per 3 SHU course. Equal Employment Opportunity Statement Tufts ...

Description Suffolk University's Math and Computer Science Department seeks qualified candidates for lecturer positions to teach a range of undergraduate courses in statistics and mathematics ...

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Lecturer In Computer Science information

See Reading, MA salary details

$59.6K

$87.7K

$103.4K

How much do lecturer in computer science jobs pay per year?

As of May 28, 2026, the average yearly pay for lecturer in computer science in Reading, MA is $87,695.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,800.00 and $98,700.00 per year, depending on experience, location, and employer.

What is a Lecturer In Computer Science job?

A Lecturer in Computer Science is an academic professional responsible for teaching undergraduate and/or postgraduate courses in computer science. They develop course materials, deliver lectures, guide student research, and assess assignments and exams. In addition to teaching, lecturers may conduct research, publish papers, and contribute to the academic community. They often stay updated on emerging technologies and trends in computer science to enhance their teaching and research. Some positions may also involve administrative duties and mentorship of students.

What are the key skills and qualifications needed to thrive in the Lecturer In Computer Science position, and why are they important?

To excel as a Lecturer in Computer Science, you typically need an advanced degree in computer science or a related field, alongside deep knowledge of core computing concepts and teaching experience. Familiarity with programming languages (like Python, Java, or C++), learning management systems, and industry certifications (such as AWS or Oracle) is highly valuable. Exceptional communication, mentorship abilities, and organizational skills help you engage students and support their learning. These competencies ensure you deliver high-quality education, foster a positive classroom environment, and keep pace with the evolving tech landscape.

What are some typical responsibilities I can expect as a Lecturer in Computer Science?

As a Lecturer in Computer Science, you will design and deliver lectures, seminars, and practical lab sessions, as well as assess student assignments and exams. You may also develop course materials, mentor students, participate in curriculum planning, and stay updated on emerging technologies relevant to your courses. Collaborating with colleagues on departmental initiatives and supporting academic research can also be part of your role. The position often balances structured teaching with opportunities for creativity and professional development in a dynamic setting.
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What cities near Reading, MA are hiring for Lecturer In Computer Science jobs? Cities near Reading, MA with the most Lecturer In Computer Science job openings:
Infographic showing various Lecturer In Computer Science job openings in Reading, MA as of May 2026, with employment types broken down into 2% Internship, 13% As Needed, 65% Full Time, 16% Part Time, 3% Contract, and 1% Summer. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $87,695 per year, or $42.2 per hour.
Assistant Professor, Computer Science

Assistant Professor, Computer Science

Wit

Boston, MA โ€ข On-site

Full-time

Posted 16 days ago


Job description

Job Description

Job Description Summary:

Wentworth Institute of Technology invites applications for an Assistant Professor position in Computer Science within the School of Computing and Data Science, beginning Fall 2026. The standard load for the position is 12 credit hours per semester for the fall and spring semesters. The successful candidate will help launch and sustain the new BS in Applied Artificial Intelligence while teaching a subset of our Computer Science curriculum.

This position has been designated as a Francis A. Sagan Professorship for the initial three-year term of the appointment. The Sagan Professorship carries a $3,000 annual salary supplement and a $5,000 annual research budget for each of the three years. The underlying R/A appointment continues beyond the three-year term without the additional funds.

"This professorship honors alumnus Frank Sagan, a 1933 graduate and lifelong educator, and is awarded to a faculty member whose contributions align with Wentworth's mission and demonstrate exceptional impact in civil, environmental, mechanical, or other engineering disciplines, including emerging fields."

About Wentworth and the School of Computing and Data Science:

Wentworth is a university of opportunity recognized for providing a high return on investment for its graduates. Our mission is to empower, inspire, and innovate through experiential learning and a student-centered approach to education.

The School of Computing and Data Science (SCDS) includes more than 30 full-time faculty who offer undergraduate majors in Applied Mathematics, Applied Artificial Intelligence, Computer Science, Cybersecurity, Data Science, and Information Technology, as well as graduate degrees in Computer Science, Data Science, and Cybersecurity.

The SCDS has teaching and research strengths in artificial intelligence, data science, cybersecurity, high-performance computing, mobile and web application development, stochastic processes, dynamical systems, financial mathematics, graph theory, algebra, and modeling. Faculty in SCDS maintain strong collaborative relationships with colleagues in sciences, humanities, and electrical and computer engineering, among other disciplines.

Our faculty represents a wide range of backgrounds and experiences. Collaboration is highly encouraged and supported, and our School has no departmental boundaries. Many of our faculty bring significant industrial, consulting, entrepreneurial, and project management experience, contributing to a dynamic and applied academic environment.

Responsibilities:

  • Teaching: Faculty typically teach 3 courses (12 credit hours) each fall and spring semester. Faculty are encouraged to incorporate some measure of experiential/project-based content in their curricula.

  • Scholarly Work: Faculty are expected to engage in active research within their fields of expertise.

  • Service to the Institute: Examples include mentoring extracurricular student organizations, and committee work.

We value creative and passionate educators who can teach to a diverse student body; as such we seek to amplify the perspectives of the faculty body and encourage applications from members of groups underrepresented in STEM.

If you are interested in preparing our next generation of AI enabled Computer Scientists and if you have substantial experience with project-based learning and undergraduate Computer Science education innovation, then we'd love to hear from you.

Minimum Requirements:

  • PhD. in Computer Science, or a closely related discipline.

  • Demonstrated ability and willingness to teach undergraduate (and potentially graduate) Computer Science and Applied AI courses across modalities.

  • Commitment to inclusive, experiential, and transformative teaching and learning.

  • Working knowledge of AI concepts, practices and procedures and the ability to research and teach them in varied applications.

  • Substantial professional experience in a directly related field.

Preferred Requirements:

  • 3 years of related work experience.

  • University teaching experience with evidence of effective, inclusive pedagogy.

  • Industry experience and/or applied research that connects students to realworld practice (e.g., coops, internships, sponsored projects, community partnerships).

  • Evidence of curriculum development, program building, and collaboration across disciplines.

  • Expertise in one or more areas aligned with the Applied AI program and CS curriculum, such as: machine learning, deep learning, datacentric AI, MLOps and deployment, cloud computing, AI for gaming, AI systems, databases and data engineering for AI, AI in software engineering, cybersecurity for AI, responsible/ethical AI, humancomputer and human-AI interaction, and VR/AR.

Position Details:

The position includes a comprehensive benefits package and a competitive salary. Benefits are described briefly HR: https://wit.edu/careers/work-wentworth

At this time, the university is unable to sponsor applicants for H-1B visas.

It is expected that the salary range for this position is between $89,042 and $106,467.The low end of the pay range in all faculty searches is at the minimum salary for the rank per the collective bargaining agreement between Wentworth Institute of Technology and the Wentworth Faculty Federation, Local 2403, AFT MA, AFL-CIO (the "Faculty Federation" or "Federation").The specific pay for this position will be determined by the University based on consideration of all relevant factors when and if it decides to extend an offer of employment.The range does not include any salary stipend from a named-professorship. Note that these are two semester equivalent salaries.

This position comes with a 10% retirement contribution (no matching required) according to the current Collective Bargaining Agreement with the Wentworth Faculty Federation.

Wentworth uses a three-semester per year schedule. The faculty contracts are for two semesters (fall and spring) with optional summer teaching, which is paid on a prorated basis of the provided two-semester salary. This means the annual compensation could reach 1.5 times the provided two-semester salary, depending on the availability of summer classes.


Application Instructions:

Please submit the following materials to the Resume Attachment Section:

1. Curriculum vitae (including contact information for three references).

2. Cover letter (summarizing fit for the position and areas of teaching across CS and Applied AI).

3. Teaching statement (including approaches to inclusive, experiential pedagogy).

4. Research/Scholarship statement (highlighting applied, theoretical, pedagogical, or industryengaged work; earlycareer scholars may outline a plan that leverages the Sagan Professorship support).

5. Two-page statement addressing our strategic pillars in your teaching and research: https://wit.edu/about/president/mission-vision-values.

All of application material can be submitted as one document under the Resume/CV section of the application.

Application review will begin January 6, 2026, and continue until the position is filled.

Applications received by December 15, 2025, will receive full consideration.

Compensation and Benefits

Wentworth Institute of Technology is committed to fair, transparent, and legally compliant compensation practices. We believe that clarity about pay structures and ranges supports equity, fosters trust, and ensures a positive workplace for all employees.

Please visit here to see the comprehensive benefits package offered to support the best experience for our employees. https://wit.edu/careers/work-wentworth

Inclusive Excellence at Wentworth

Inclusive Excellence is one of the four pillars of the Strategic Plan. Actively and intentionally cultivating a diverse and culturally competent institution where each member has the opportunity and support to reach their full potential and make contributions to our campus community and beyond is Inclusive Excellence at Wentworth.

To find out more about the Wentworth's commitment to Inclusive Excellence, please visit the website https://wit.edu/about/inclusive-excellence.

All applicants have the right to accessibility support and accommodations. To request accessibility support or accommodations, contact the Executive Director of Equity and Compliance, Catlin Wells, at wellsc1@wit.edu.

E-Verify for Employment Eligibility Verification (Form I-9)

Wentworth participates in E-Verify. E-Verify is an internet-based system that compares information from your Form I-9 to records available to the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA) to confirm that you are authorized to work in the United States.