Post Doctoral Associate in Signal Inference, Information and Learning

Duke University; United States; On-site; USD 60,000 - 90,000; Full time

Job summary

Duke University invites applications for a Postdoctoral Researcher in the Signal Inference, Information and Learning (SIIL) Group. The position focuses on statistical signal and array processing with applications to quantum theory and information science, with emphasis on robust estimation, adaptive sensing, and machine learning.

The successful candidate will conduct independent research, present findings, participate in group meetings and seminars, and mentor students while collaborating with

Qualifications

• Proficiency in English language including writing and oral communication.

Responsibilities

• Perform research in statistical signal and array processing.
• Engage in group meetings, departmental seminars, and mentor undergraduate and graduate students.
• Collaborate with colleagues across the Duke research community.

Skills

English proficiency

Education

PhD in electrical engineering, physics, quantum theory/science

Job description

Position Description

The Signal Inference, Information and Learning (SIIL) Group is seeking a Postdoctoral Researcher to perform research in the area of statistical signal and array processing with application to quantum theory and information science. Other application areas of interest include robust parameter estimation and performance bounds under model misspecification, integrated sensing and communications, orthogonal time frequency space modulation, radar/sonar signal processing, and machine and deep learning.

WORK PERFORMING:

Individual will perform research generally in the area of statistical signal and array processing. Topics of specific interest include quantum signal processing, robust parameter estimation and performance bounds under model misspecification, adaptive radar target detection / estimation / SAR imaging / STAP, cognitive radar / sonar, communications over dynamic channels, orthogonal time frequency space (OTFS) modulation, shared-spectrum / RF convergence, machine and deep learning (e.g. model-aided, convergence analyses, universal), data-driven detection and estimation, robust adaptive filtering / beamforming for radar/sonar under modeling uncertainties.

In addition to research responsibilities, the postdoctoral researcher will actively engage in group meetings, departmental seminars, and will have opportunities to mentor undergraduate and graduate students, and collaborate with colleagues across the Duke research community.

EDUCATION/TRAINING:

PhD in electrical engineering, physics, quantum theory/science, expertise in detection and estimation theory.

PREFERRED:

Statistical signal processing with knowledge of quantum theory / information science.

SKILLS:

Proficiency in English language including writing and oral communication.

Duke University

is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, ethnicity, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation, or military status.

Duke University aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas—an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.