Postdoctoral Research Associate

About the Opportunity

AI-Driven Ultrasound and Intelligent Sensing:

We are seeking a postdoctoral researcher to work on quantitative ultrasound methods, focusing on the application of model-based machine learning techniques to raw ultrasound data. The project involves developing novel algorithms that integrate physics, engineering, and AI to extract meaningful and clinically relevant information directly from raw signals. The work spans algorithm development, advances in model-based AI, and translation to real-world clinical applications, offering an opportunity to contribute to next-generation imaging and diagnostic technologies.

QUALIFICATIONS:

• Ph.D. in Applied Mathematics, Electrical & Computer Engineering, Computer Science, Industrial Engineering, or a closely related field (obtained by start date).

• Demonstrated research experience with quantitative ultrasound methods.

• Strong background in model‑based or physics‑informed machine learning, with experience developing algorithms that integrate physics models, engineering principles, and AI techniques.

• Ability to design, implement, and validate novel algorithms for applied or translational research, ideally with relevance to real‑world or clinical imaging applications.

• Proven research and academic writing experience, including the preparation of high-quality scholarly articles for peer-reviewed journals and conferences.

• Experienced in mentoring and supervising students on research projects, with demonstrated leadership skills in guiding collaborative work.

• Excellent communication abilities, including fluent spoken English and strong presentation skills, enabling effective dissemination of research outcomes and active engagement in international academic discussions.

Position Type

Additional Information

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

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:

Expected Hiring Range:

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.