ECE Post Doctoral Fellow at Stevens Institute of Technology in Hoboken, New Jersey

Job Description:

Job Description

Plans and conducts assigned and/or original research projects autonomously while working collaboratively with faculty, staff, postdocs and students. Education: PhD in related technical, scientific or engineering discipline. Strong interpersonal and communication skills and the ability to work effectively with a wide range of constituencies.

Job Description: Postdoctoral Fellow in Signal Processing for RF Sensing

Position: Postdoctoral Fellow in Signal Processing for RF Sensing

Job Summary:

We are seeking a highly qualified and motivated Postdoctoral Fellow in Signal Processing for RF Sensing. The successful candidate will contribute his/her expertise and research capabilities to enhance our research initiatives and academic programs. The position requires a candidate with a strong background in the above field.

Responsibilities:

1. Conduct Innovative Research: The Postdoctoral Fellow will be responsible for conducting cutting-edge research in signal Processing with applications in RF sensing. This involves formulating research objectives, developing novel solutions, designing experiments, and analyzing data.

2. Collaborate with Faculty and Students: The selected candidate will collaborate closely with team members and actively participate in research discussions and seminars to exchange knowledge and ideas.

3. Publish Research Findings: Dissemination of research findings is a vital aspect of this role. The Postdoctoral Fellow is expected to publish research papers in reputable journals and conferences, contributing to the academic community's knowledge base.

4. Mentorship and Guidance: The Postdoctoral Fellow may also provide mentorship and guidance to graduate and undergraduate students. This includes supervising research projects, assisting with thesis work, and nurturing the professional development of aspiring young scholars.

Qualifications:

1. Education: A Ph.D. degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field with a specialization in signal processing, machine learning, RF sensing, wireless communications, or a closely related area.

2. Research Expertise: A deep understanding of signal processing/machine learning algorithms, wireless communication/RF sensing systems, and related methodologies. The candidate should have a strong publication record in recognized conferences and journals within the field.

Department

General Submission Guidelines: 

Please submit an online application to be considered a candidate for any job at Stevens. Please attach a cover letter and resume with each application. Other requirements for consideration may depend on the job. 

Still Have Questions? 

If you have any questions regarding your application, please contact Jobs@Stevens.edu. 

EEO Statement:

Stevens Institute of Technology is an Equal Opportunity Employer. Accordingly, Stevens adheres to an employment policy that prohibits discriminatory practices or harassment against candidates or employees based on legally impermissible factor(s) including, but not necessarily limited to, race, color, religion, creed, sex, national origin, nationality, citizenship status, age, ancestry, marital or domestic partnership or civil union status, familial status, affectional or sexual orientation, gender identity or expression, atypical cellular or blood trait, genetic information, pregnancy or pregnancy-related medical conditions, disability, or any protected military or veteran status. 

Stevens is building a diverse faculty, staff, and student body and strongly encourages applications from people of all backgrounds. Stevens is a federal contractor under the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and the Rehabilitation Act of 1973, as well as other federal statutes. 

NSF ADVANCE Institution Stevens values diversity and seeks candidates who will contribute to a welcoming and inclusive environment for students, faculty, and staff of all backgrounds. We are an NSF ADVANCE institution committed to equitable practices and policies and strongly encourage applications from women, racial and ethnic minority candidates, veterans, and individuals with disabilities. 

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