The InforMation PRocEssing and SenSing (IMPRESS) Laboratory (http://impress.ece.msstate.edu/) in the Department of Electrical and Computer Engineering is seeking highly motivated individuals to join as a Postdoctoral Associate. The selected candidate will primarily work in one of the following areas: artificial intelligence (AI), computer vision, unmanned vehicle platforms, and sensing systems (e.g., polarimetric cameras, acoustic arrays, and mm-wave radars), applied towards detection, estimating, localization of hazards in subterranean environment. The selected candidate will assist advising the graduate students and support the analysis of each sensor modality used in the effort, the mounting and integration of the sensors on different subterranean unmanned vehicle platforms (e.g., Boston Dynamics Spot, Clearpath Husky, and SuperDroid Robots), the integration and validation of the platform communication system, and the generation of presentations and publications.
Salary Grade: UC
Please see Staff Compensation Structure or Skilled Crafts and Service Maintenance Compensation Schedule for salary ranges. For salary grade UC, these positions are "Unclassified" and salary ranges are determined by the hiring department.
The Department of Electrical and Computer Engineering at Mississippi State University consists of 27 faculty members (including 6 endowed professors), 6 professional and support staff, and over 700 undergraduate and graduate students with approximately 100 being at the Ph.D. level. With research expenditure of the department in excess of $13M, the department houses the largest High Voltage Laboratory among North American Universities. For more detailed information on the department please visit our website www.ece.msstate.edu.
Essential Duties and Responsibilities:
1. Supporting development of integrated hardware and software for AI-driven subterranean
2. Contributing to development of novel machine/deep learning methodologies for various
sensor modalities and combinations, including polarimetric imaging systems at five
spectral bands (i.e., UV, VIS, NIR, SWIR, and LWIR) for object detection, acoustic arrays
for sound localization, radio frequency (RF) micro-Doppler for motion discrimination in
complex subterranean environment.
3. Supporting activities such as design, test, verification, customization, and assembly of
prototype subterranean unmanned vehicle sensing systems
4. Designing and implementing research tasks, collecting, and analyzing data, and assisting
the group in preparing research results for publications.
5. Assisting the team in preparing manuscripts for peer-reviewed publication.
6. Presenting research results in scientific meetings and symposiums.
7. Assist in the supervision of student researchers.
8. Assist in the writing and submission of new research proposals.
9. Take part in professional development events in the Bagley College of Engineering.
10. Other duties as assigned.
A Ph.D. degree in Electrical Engineering, Computer Engineering, Computer Science, or closely related engineering discipline.
ABDs or degree pending considered (all but DISS):
- Research or development experience post-graduation.
- Good track record of peer-reviewed publications in one or more of the following areas:
artificial intelligence, machine learning, computer vision, robotics, radar/array signal
processing, unmanned vehicle platforms, or sensing systems.
- Demonstrated experience with one or more programming languages (Python, MATLAB,
- Ability to work with minimal supervision and self-driven individual.
- Experience in software development, maintenance, and testing,
Knowledge, Skills, and Abilities:
Strong communication and writing skills and the ability to function effectively in a team environment is required.
Instructions for Applying:
Link to apply: http://explore.msujobs.msstate.edu/
All applicants must apply online at www.msujobs.msstate.edu and attach a cover letter, current resume or curriculum vitae, copy of your transcript(s) and the complete contact information for at least three professional references. Any social security number included on requested transcripts should be redacted prior to submitting online.
Position is contingent upon continued availability of funding.
Equal Employment Opportunity Statement:
MSU is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, ethnicity, sex, religion, national origin, disability, age, sexual orientation, genetic information, pregnancy, gender identity, status as a U.S. veteran, and/or any other status protected by applicable law. We always welcome nominations and applications from women, members of any minority group, and others who share our passion for building a diverse community that reflects the diversity in our student population.
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