Research Scientist I

Research Scientist I

The University of Mississippi — fondly referred to as Ole Miss — stands as a premier public research institution with a proud legacy of academic distinction. We are devoted to nurturing a vibrant, inclusive community where every member — student, faculty, and staff — can achieve their fullest potential.

The University of Mississippi's National Center for Physical Acoustics (NCPA) is seeking a Research Scientist I to work with NCPA staff and students to develop and design unique and state-of-the-art acoustic signal processing algorithms and software. This position requires the successful applicant to have demonstrated experience developing mathematical models of systems employing sensors for signal processing or control, as well as applying statistical data analysis techniques to multiple-channel data.

Demonstrated knowledge of applied linear algebra and experience translating mathematical solutions into software is required as well as the ability to develop research proposals, prepare and deliver technical presentations, and prepare manuscripts for journal publication. Demonstrated project leadership and successful mentoring of students is required. Knowledge of physical acoustics, array signal processing techniques, and C++ are highly desirable. The selected candidate must be eligible for U.S. Security Clearance.

• Demonstrated experience developing mathematical models of systems employing sensors for signal processing or control.
• Demonstrated experience in applying statistical data analysis techniques to multiple-channel data.
• Demonstrated knowledge of applied linear algebra and experience translating mathematical solutions into software.
• Demonstrated project leadership and successful mentoring of students.
• Demonstrated ability to develop research proposals, prepare and deliver technical presentations, and prepare manuscripts for journal publication.

Applicants must meet the posted minimum qualifications for the position at the time of completing and submitting an application.

1. PhD in a relevant field of engineering or science (Computer Science, Engineering, Physics, or a related field)

2. A minimum of nine (9) years of relevant experience including:

• Demonstrated experience developing mathematical models of systems employing sensors for signal processing or control
• Demonstrated experience in applying statistical data analysis techniques to multiple-channel data.
• Demonstrated knowledge of applied linear algebra and experience translating mathematical solutions into software.

3. Must qualify for US Security Clearance.

• Cover Letter*
• Resume / Vitae*
• An official copy of your transcript*
• List of at least 3 professional references*

The applicant will work with NCPA staff and students to develop and design unique and state-of-the-art acoustic signal processing algorithms and software. This position requires the successful applicant to have demonstrated experience developing mathematical models of systems employing sensors for signal processing or control, as well as applying statistical data analysis techniques to multiple-channel data. Demonstrated knowledge of applied linear algebra and experience translating mathematical solutions into software is required as well as the ability to develop research proposals, prepare and deliver technical presentations, and prepare manuscripts for journal publication.

Demonstrated project leadership and successful mentoring of students is required. Knowledge of physical acoustics, array signal processing techniques, and C++ are highly desirable. The applicant will take on project leadership roles as well as mentor students. The selected candidate must eligible for U.S. Security Clearance.

PhD:
Engineering Science (Required)

Interview Requirement:

Any candidate who is called for an interview must notify the Department of Equal Opportunity/Regulatory Compliance in writing of any reasonable accommodation needed prior to the date of the interview.

The University of Mississippi provides equal opportunity in any employment practice, education…