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Engineering Professor Jobs in Connecticut (NOW HIRING)

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Engineering Professor information

See Connecticut salary details

$10.5K

$154.6K

How much do engineering professor jobs pay per year?

As of Aug 16, 2026, the average yearly pay for engineering professor in Connecticut is $153,064.00, according to ZipRecruiter salary data. Most workers in this role earn between $153,200.00 and $153,200.00 per year, depending on experience, location, and employer.

What does an engineering professor do?

An Engineering Professor is responsible for teaching engineering courses at a college or university level, conducting research in their specialized field, and mentoring students. They design and deliver lectures, create course materials, and assess student performance. Additionally, Engineering Professors often work on research projects, publish scholarly articles, and may collaborate with industry partners. Their role also includes staying updated with advancements in engineering and contributing to the academic community through service and outreach.

What opportunities exist for professional development and research collaboration as an engineering professor?

Engineering Professors often have access to a wide range of professional development opportunities, including attending and presenting at academic conferences, applying for research grants, and collaborating with industry partners. Many universities encourage interdisciplinary projects, so professors regularly collaborate with colleagues from other departments and external organizations. These collaborative efforts not only enhance research impact but also provide avenues for career advancement, such as leading research centers or taking on administrative roles. Staying connected with professional societies and engaging in continuous learning are also integral parts of the role.

What skills and qualifications are needed to thrive as an engineering professor?

To thrive as an Engineering Professor, you need an advanced degree (usually a PhD) in engineering or a related field, strong research background, and teaching experience. Familiarity with laboratory equipment, learning management systems (LMS), and research software such as MATLAB or AutoCAD is typically required. Excellent communication, mentorship, and organizational skills help foster student learning and collaboration. These qualifications and abilities are essential to deliver effective education, advance research, and contribute to the academic community.

What is the difference between Engineering Professor vs Mechanical Engineer?

AspectEngineering ProfessorMechanical Engineer
Required CredentialsDoctorate (Ph.D.) in Engineering or related fieldBachelor's or Master's degree in Mechanical Engineering
Work EnvironmentUniversities, research institutions, academic settingsManufacturing, design firms, R&D departments
Employer & Industry UsageHigher education institutions, research organizationsEngineering firms, industrial companies, government agencies
Common Search & Comparison IntentUnderstanding academic vs industry roles in engineeringCareer paths, job responsibilities, qualifications

Engineering Professors primarily work in academia, focusing on teaching and research, often requiring a Ph.D. and a background in engineering. Mechanical Engineers work in industry, applying engineering principles to design, develop, and manufacture products, typically holding a bachelor's or master's degree. The roles differ in work environment, responsibilities, and career focus, with professors emphasizing education and research, while mechanical engineers focus on practical application and product development.

What are popular job titles related to Engineering Professor jobs in CT?

For Engineering Professor jobs in CT, the most frequently searched job titles are:

Engineering Professor jobs near you
Infographic showing various Engineering Professor job openings in Connecticut as of August 2026, with employment types broken down into 13% Internship, 62% Full Time, and 25% Part Time. Highlights an 87% In-person, and 13% Hybrid job distribution, with an average salary of $153,064 per year, or $73.6 per hour.

Orthopaedics and Rehabilitation - AI Researcher - Instructor/Assistant/Associate/Professor (RFP-2277

Yale University

New Haven, CT • On-site

Full-time

Re-posted 25 days ago

Yale University rating

8.6

Company rating: 8.6 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

67th of 618 rated colleges and universities

Job description

Description
Faculty Position in AI-Driven Musculoskeletal Research Yale University School of Medicine - Department of Orthopaedics & Rehabilitation
The Department of Orthopaedics & Rehabilitation at Yale University School of Medicine invites applications for a faculty position (Instructor, Assistant, Associate, or Full Professor) in the tenure track for candidates with expertise in artificial intelligence (AI) and a strong interest in musculoskeletal (MSK) research and/or orthopedic surgery. Applicants must hold a PhD and/or MD (or equivalent degree) and demonstrate outstanding qualifications in research and education.
Areas of Interest Include:
• Artificial intelligence and machine learning applications in musculoskeletal medicine and orthopedic surgery
• Biomedical data science and modeling relevant to MSK health
• Image analysis and computer vision for orthopedic imaging
• Clinical informatics and outcomes research in orthopedics
• Precision medicine and personalized approaches to MSK disorders
• Biomechanical modeling, simulation, and computational orthopedics
• Integration of AI with electronic medical records and surgical workflows
Responsibilities:
• Establish and maintain a vigorous, independently funded research program in AI-driven musculoskeletal science
• Collaborate with clinical and research faculty in orthopedics, engineering, and data science
• Supervise and mentor students, residents, and fellows from diverse backgrounds
• Contribute to the educational missions of the department and Yale School of Medicine
• Foster an environment of collaboration, innovation, and scientific discovery
Qualifications
• PhD and/or MD (or equivalent) with demonstrated expertise in AI, data science, or related fields
• Track record of independent, creative research accomplishments
• Track record of federally funded (NSF, NIH, etc) research
• Interest or experience in musculoskeletal research and/or orthopedic surgery is preferred
• Strong scientific, management, and interpersonal skills
Application Instructions
All interested candidates are asked to apply via Interfolio: apply.interfolio.com/188502
Please provide your curriculum vitate and a list of three references.

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