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Computer Vision Postdoc Jobs in Cambridge, MA (NOW HIRING)

About the Opportunity Job Summary The department of Electrical and Computer Engineering and ... This includes medical, vision, dental, paid time off, tuition assistance, wellness & life ...

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Computer Vision Postdoc information

See Cambridge, MA salary details

$27.4K

$125.7K

$216.3K

How much do computer vision postdoc jobs pay per year?

As of Sep 14, 2026, the average yearly pay for computer vision postdoc in Cambridge, MA is $125,721.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,619.00 and $171,732.00 per year, depending on experience, location, and employer.

What is a computer vision postdoc?

A Computer Vision Postdoc is a research-focused position typically held after completing a Ph.D. in computer vision, machine learning, or a related field. The role involves conducting advanced research, developing algorithms, publishing papers, and collaborating with academic or industry partners. Responsibilities may include working on deep learning models, image processing techniques, and real-world applications like autonomous driving or medical imaging. This position is usually temporary, lasting one to three years, and serves as a stepping stone to academic or industry research roles.

What are typical research activities and collaborations for a computer vision postdoc?

As a Computer Vision Postdoc, your day-to-day work often involves designing and running experiments, developing new algorithms, and publishing research findings in academic journals or at conferences. You will closely collaborate with a multidisciplinary team of faculty members, graduate students, and sometimes industry partners to solve complex visual perception problems. Many postdocs also mentor junior researchers and may participate in grant writing or lab meetings. This collaborative environment provides valuable opportunities for expanding your professional network and honing your research leadership skills.

What are the key skills and qualifications needed to thrive in a computer vision postdoc position?

A Computer Vision Postdoc typically requires a PhD in computer science, electrical engineering, or a related field, with strong expertise in machine learning, image processing, and algorithm development. Familiarity with programming languages such as Python or C++, and experience using frameworks like TensorFlow, PyTorch, or OpenCV is often essential. Strong analytical thinking, effective communication, and project management skills help distinguish successful candidates. Mastery of these skills enables impactful research, effective collaboration, and the ability to translate complex concepts into practical results.

Infographic showing various Computer Vision Postdoc job openings in Cambridge, MA as of September 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $125,721 per year, or $60.4 per hour.

Postdoctoral Research Associate

Boston, MA

$60K - $85K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Job description

About the Opportunity

The Institute for NanoSystems Innovation (NanoSI) at Northeastern University invites applications for a Postdoctoral Research Associate position in micro- and nanoelectromechanical systems (MEMS/NEMS). The successful candidate will conduct advanced research in the design, modeling, fabrication, and characterization of MEMS/NEMS devices, with an emphasis on electromechanical behavior and nonlinear dynamics. The position also includes mentoring graduate and undergraduate researchers and contributing to sponsored research reporting.

This is a full-time, fixed-term postdoctoral appointment within NanoSI. The position offers access to state-of-the-art fabrication and characterization facilities and opportunities to engage in high-impact, externally funded research programs.

MINIMUM QUALIFICATIONS:

PhD in Electrical and Computer Engineering, Mechanical Engineering, Physics, or a closely related field.

Demonstrated expertise in MEMS/NEMS design and modeling, including finite element methods.

Strong publication record in leading engineering or scientific journals.

Experience with MEMS fabrication processes and device characterization.

PREFERRED QUALIFICATIONS:

Experience with sensor system integration

Familiarity with experimental data analysis and custom device fabrication for materials characterization.

Ability to work effectively in interdisciplinary research teams.

Position Type

Research

Additional Information

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.

Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

Compensation Grade/Pay Type:

108S

Expected Hiring Range:

$60,315.00 - $85,192.50

With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.