Postdoctoral Research Associate

About the Opportunity

This postdoctoral position offers an opportunity to conduct leading-edge research in embedded security with applications to healthcare and medical device cybersecurity. The role emphasizes hands-on experimental research, leadership in project execution, and fostering a safe and productive laboratory environment. The appointment is for one year with the possibility of renewal based on performance and availability of sponsored research funding.

Key Responsibilities

●      Lead research projects in embedded systems security under the supervision of the PI, including proposal development and preparation of high-quality publications in top computer security, privacy, embedded systems, sensing, and networking venues.

●      Pursue research topics such as protecting embedded systems from vulnerabilities rooted in sensor physics, studying the impact of physical signals (e.g., acoustics, lasers, electromagnetic emissions) on AI and sensing systems, and innovating hardware–software co-design for privacy and integrity.

●      Mentor undergraduate and graduate students in experimental design, data analysis, paper writing, and professional development; provide apprenticeship-style training in laboratory methods and embedded security research.

●      Support project management by tracking milestones and deadlines, assisting with acquisition of laboratory resources, preparing project updates, and coordinating with the PI on active research activities.

●      Contribute to the intellectual community of the Archimedes Center by helping organize seminars, workshops, retreats, and research reading groups.

●      Foster an inclusive lab culture, promote collaboration, and encourage shared learning among team members.

Secondary Responsibilities

●      Occasionally guest lecture or assist with course material development under the guidance of the PI.

●      Contribute to student recruitment by participating in graduate admissions review and outreach activities.

●      Reimplement or replicate lab experiments to gain additional research and teaching experience.

●      Support general laboratory operations and administrative tasks as needed.

This position is 100% externally funded and will be reappointed on an annual basis based on the continued availability of funding.

QUALIFICATIONS:

A successful candidate will hold a PhD in a cybersecurity-related field and demonstrate strong technical expertise and independence in research. The role requires proficiency with security and embedded systems tools, excellent communication and organizational skills, and the ability to mentor students and collaborate effectively. Experience in healthcare and medical device environments is highly valued.

●      PhD in computer science, electrical engineering, biomedical engineering, cybersecurity, or a closely related field

●      Strong record of peer-reviewed publications

●      Excellent verbal and written communication skills, attention to detail, and training in research methodology and quantitative data analysis

●      Strong technical expertise and independence in programming, with proficiency in tools such as Binary Ninja, IDA Pro, Matlab, software radios, LaTeX, etc.

●      Demonstrated research expertise in embedded systems, cybersecurity, or medical device security

●      Ability to plan and execute research projects independently and collaboratively

●      Demonstrated ability to mentor students and manage complex projects

Previous student supervisory experience desired. Experience with medical devices, hospital systems, or healthcare operations is a plus.

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.