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Louisiana State University seeks a Research Associate 5 in the LSUAM Engineering – School of Electrical and Computer Engineering. The position focuses on research and coordination for a federally funded project on decision-driven information distillation for multi-agent autonomy, including algorithm development and simulation work.
The candidate will integrate filtering, memory, and communication components into a reproducible framework, mentor graduate students, and prepare scholarly
Research Associate 5
Other Academic
LSUAM Engineering - School of Electrical and Computer Engineering (Shuangqing Wei (00007502))
3325 Patrick F. Taylor Hall
Other Academic
This position will be responsible for conducting and coordinating research for the federally funded project "Decision-Driven Information Distillation for Multi-Agent Autonomy" through studying how teams of autonomous agents operating under partial observability, limited memory, constrained communication, sensing uncertainty, and adversarial interference should filter, retain, represent, and share information so that downstream decisions remain effective and trustworthy.
60% Research and Algorithm Development:
35% Project Integration, Documentation, and Research Coordination:
5% Perform other research-related duties as assigned.
Master's degree in electrical engineering, robotics, computer engineering, mechanical engineering, systems and control, computer science, applied mathematics, computational mathematics. 2 years of relevant research experience. Relevant experience may include work in autonomous systems, robotics, estimation and control, machine learning, data assimilation, sensor fusion, or scientific computing. A Ph.D. in a related field may substitute for the required professional or research experience.
Ph.D in electrical engineering, robotics, computer engineering, mechanical engineering, systems and control, computer science, applied mathematics, computational mathematics, statistics, or a closely related field. 2 yeas of relevant research experience. Preference will be given to applicants who demonstrate strength in one or more of the following:
Applicants may bring depth in a complementary part of the project rather than across the full range of topics. Candidates from engineering, robotics, computing, control, or computational mathematics backgrounds are encouraged to apply.
This is a full-time research position supported by a multi-year project. The initial appointment is expected to be for one year, with continuation contingent upon satisfactory performance, project needs, and availability of funding. The successful candidate will have opportunities to publish theoretical and computational research, develop publicly releasable software and benchmark datasets, collaborate across LSU Engineering and Mathematics, and mentor graduate students.
This position is not eligible for sponsorship.
An offer of employment is contingent on a satisfactory pre-employment background check.
Positions approved to work outside the State of Louisiana shall be employed through Louisiana State University’s partner, nextSource Workforce Solutions, for Employer of Record Services including but not limited to employment, benefits, payroll, and tax compliance. Positions employed through Employer of Record Services will be offered benefits and retirement as applicable through their provider and will not be eligible for State of Louisiana benefits and retirement.
LSU is an Equal Opportunity Employer.
All candidates must have valid U.S. work authorization at the time of hire and maintain that valid work authorization throughout employment.
Changes in laws, regulations, or government policies may impact the university’s ability to employ individuals in certain positions.
For questions regarding this position, please contact Dr. Shuangqing Wei at swei@lsu.edu.
HCM Contact Information: For questions or concerns related to updating your application with attachments (e.g., resumes, RS:17 documents), date of birth, or reactivating applications, please contact the LSU Human Resources Management Office at 225-578-8200 or email HR@lsu.edu. For questions or concerns regarding the status of your application or salary ranges, please contact the department using the information provided in the Special Instructions section of this job posting.
LSU researchers across Louisiana are working on developing a wide-range of innovations to improve quality of life by studying issues such as disease management, advance medical treatments, obesity, coastal protection, hurricane preparedness, energy, natural resource management and agriculture, among others. LSU’s Flagship University is a land-, sea- and space-grant institution with academic programs in all areas of science, engineering, humanities, arts and social sciences. The University comprises of nine institutions: Louisiana State University and Agricultural and Mechanical College (“LSU”), the premier flagship university for the state, which include the Paul M. Hebert Law Center and the School of Veterinary Medicine Louisiana State University at Alexandria Louisiana State University at Eunice Louisiana State University at Shreveport LSU Health Sciences Center – New Orleans LSU Health Science Center – Shreveport The Health Care Services Division Louisiana State University Agricultural Center Pennington Biomedical Research Center Any other college, university, school, institution, or program now or hereafter under the supervision and management of the Board of Supervisors of Louisiana State University and Agricultural and Mechanical College In implementing its mission, LSU is committed to: Offering a broad array of undergraduate degree programs and extensive graduate research opportunities designed to attract and educate highly qualified undergraduate and graduate students; Employing faculty who are excellent teacher-scholars, nationally competitive in research and creative activities, and who contribute to a world-class knowledge base that is transferable to educational, professional, cultural, and economic enterprises; and Using its extensive resources to solve economic, environmental, and social challenges.