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Position Summary:
Florida Atlantic University's Systems and Imaging Laboratory (SAIL) at Harbor Branch Oceanographic Institute in Fort Pierce, FL, is seeking a 12-month, non-tenure Postdoctoral Fellow position. Extension of the appointment beyond one year is possible, depending on funding availability and performance.
This position will focus on developing robotics and cyber physical systems solutions using machine learning and artificial intelligence to support different aspects of marine science, with opportunities to expand to other areas.
Currently, SAIL is conducting multiple projects ranging from Hybrid Aerial Underwater Robotic System (HAUCS)- a cyber physical system (CPS) for aquaculture, to sensors and platforms for maritime applications. In this position, your primary task will be to lead the development of algorithms, software, and hardware to extend the current HAUCS framework.
This includes developing the sensors, sensing robotic platforms, environmental prediction models, and visualization tools as needed. Additional tasks include field experiments to test the instruments and validate models; preparing data reports and presentations for technical conferences; publishing results in peer-reviewed journals; and mentoring students and junior scientists. There will also be opportunities to work on other related projects, including the application of AI to solve underwater vision problems and Phase III of the Next Generation Sensor Systems for Natural Oceanic Bioluminescence Assessments. The Postdoctoral Fellow will be able to grow his/her skills in research and grant writing by taking an active role in identifying funding opportunities and developing grant proposals.
Minimum Qualifications:
- A doctorate (foreign equivalent acceptable) in electrical engineering, computer
science, engineering, or related area.
- A team player who is willing to train junior scientists in the lab.
- Expertise in robotics and unmanned aerial vehicle development, in particular electronic hardware design and embedded system development.
- Comprehension of common machine learning algorithms and image analysis.
- Independent, self-motivated, well-organized, and critical thinker.
- Good written and verbal communication skills.
Salary:
$55,000.00 - $65,000.00
College or Department:
Harbor Branch Oceanographic Institute/Systems and Imaging Lab (SAIL)
Location:
Harbor Branch (HBOI)
Work Days and Hours:
N/A
Application Deadline:
2026-06-30
Special Instructions to Applicant:
This position is open until filled and may close without prior notice.
This position is subject to funding.
All applicants must apply electronically to the currently posted position on the Office of Human Resources' job website (https://fau.edu/jobs) by completing the required employment application for this recruitment and submitting the related documents.
Required Documents:
FAU's Career Page permits the attachment of required/requested documentation.
PLEASE NOTE: A maximum of five (5) documents may be attached to your application. If more than five (5) documents are required for submission, please combine additional documents into a single attachment to not exceed the maximum permitted.
The site permits the attachment of required/requested documentation. Candidates wishing full consideration are to provide the following: a cover letter, curriculum vitae, statement of interest, transcripts, and contact information for three professional references including email addresses and phone numbers.
Transcripts:
Final candidate will be required to have official, sealed transcripts and original NACES evaluation, if applicable, sent from their educational institution to Human Resources prior to the start of employment.
Background Screening:
Selected candidates must successfully complete and pass all employment screenings prior to the start of employment. Employment screenings may include a criminal background check (level I and level II), motor vehicle check, credit check, reference checks, alcohol, and drug screening check.
Accommodations:
Individuals requiring accommodation, please call 561-297-3057. 711