Postdoc: Advanced Signal Processing for Communications

Northeastern University; Boston (MA); Hybrid; USD 60,000 - 85,000; Full time

Benefits offered by this job

Medical benefits

Vision benefits

Dental benefits

Paid time off

Tuition assistance

Wellness & life

Retirement plan

Commuting & transportation

Job summary

Northeastern University in Boston invites applications for a Postdoctoral Fellow to advance theoretical and applied research in signal processing for next-generation communication systems. The role emphasizes sparse signal recovery, compressed sensing, and statistical estimation, with emphasis on rigorous modeling, algorithm design, and performance characterization for practical networks.

The successful candidate will publish in peer-reviewed venues, mentor students on research projects, and

Qualifications

• Ph.D. in Applied Mathematics, Electrical & Computer Engineering, Computer Science, Industrial Engineering, or a closely related field by start date.
• Strong theoretical expertise in mathematical statistics, information theory, and the principles of signal estimation and detection, with the ability to translate these foundations into rigorous models and practical solutions for communication systems.
• Familiar with programming language including Python and MATLAB.
• 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.

Responsibilities

• Conduct foundational research on signal processing theories and their applications in communication systems.
• Develop and analyze advanced methods in sparse signal recovery, compressed sensing, and statistical estimation.
• Collaborate with cross-disciplinary teams to model, implement, and characterize performance in networks.

Skills

Statistics theory

Information theory

Signal processing

Education

PhD in a relevant field

Tools

Python

MATLAB

Job description

Northeastern University in Boston invites applications for a Postdoctoral Fellow to advance theoretical and applied research in signal processing for next-generation communication systems. The role emphasizes sparse signal recovery, compressed sensing, and statistical estimation, with emphasis on rigorous modeling, algorithm design, and performance characterization for practical networks.

The successful candidate will publish in peer-reviewed venues, mentor students on research projects, and