LSU New Orleans Fully Funded PhD Position in Robotics and Autonomous Systems
LSU New Orleans
Assistant Professor Abdullah Al Redwan Newaz is recruiting one fully funded PhD student for the Autonomous Intelligent Robotics Lab at LSU New Orleans from Spring 2027. Research covers robotic information gathering, planning under uncertainty, multi-robot coordination, UAVs and autonomous surface vehicles for environmental monitoring.
Assistant Professor Abdullah Al Redwan Newaz is recruiting one fully funded Ph.D. student to join the Autonomous Intelligent Robotics (AiR) Lab at LSU New Orleans beginning in Spring 2027.
The lab develops autonomous systems that can make safe and effective decisions when information is incomplete and resources are limited. This position will focus on robotic information gathering, uncertainty-aware planning and multi-robot coordination, with uncrewed aerial vehicles and autonomous surface vehicles deployed for environmental monitoring in Louisiana's coastal waterways.
Suitable candidates should be excited about connecting uncertainty quantification and decision-making theory with real field robots, real environmental data and changing weather conditions.
Formal degree: the Department of Computer Science is a leading participant in LSU New Orleans' interdisciplinary Engineering and Applied Science Ph.D. programme. Candidates who pass the lab's initial review must also complete the official university graduate application for that doctoral route.
How to apply: email the requested documents to aredwann@lsuneworleans.edu using the subject line [AiRLab-PhD-S27]. The announcement does not state a separate lab closing date, so applicants should apply as early as possible and still meet the formal university deadline that applies to their circumstances.
Benefits
- One fully funded Ph.D. research position beginning in Spring 2027.
- Direct supervision in the Autonomous Intelligent Robotics Lab.
- Research spanning planning under uncertainty, multi-robot systems, UAVs and autonomous surface vehicles.
- Field experience deploying autonomous systems in Louisiana's coastal wetlands and waterways.
- Access to a lab supported by competitive federal research funding and to LSU New Orleans' interdisciplinary doctoral environment.
Funding clarification: the recruitment announcement directly calls the position fully funded but does not itemise the stipend, tuition remission, non-resident fee waiver, health insurance, mandatory fees, summer support, appointment workload or renewal duration. LSU New Orleans states generally that graduate assistants receive a stipend and non-resident fee waiver and may receive tuition remission depending on workload, duties and funding source. Applicants should obtain a written offer confirming the package for this specific position before enrolling.
Eligibility summary
- Applicants seeking full-time doctoral study beginning in Spring 2027.
- Strong programming ability in Python and C++, with experience using ROS 2.
- Strong mathematical preparation.
- Academic or research background in robotics, machine learning, control systems, computer science, engineering or a closely related area.
- Interest in field robotics involving real deployments, real data and variable outdoor conditions.
- Research interests aligned with robotic information gathering, uncertainty-aware planning, multi-robot coordination, UAVs, autonomous boats or environmental monitoring.
- Applicants must satisfy the Engineering and Applied Science Ph.D. programme and LSU New Orleans Graduate School admission requirements.
International applicants are explicitly invited in the recruitment announcement and should include GRE and TOEFL or IELTS scores in the initial email. They must also satisfy the university's English-language, academic-document and immigration requirements.
Requirements
- Email the complete initial-review package using the required subject line.
- Explain briefly why the AiR Lab's research fits your background and interests.
- If selected to proceed, submit the formal LSU New Orleans graduate application for the Engineering and Applied Science Ph.D. route.
- The Graduate School currently lists transcripts, recommendation letters and a statement of purpose among its general application materials.
- Confirm the programme deadline, test-score rules and complete funding terms before paying an application fee or accepting an offer.
Documents required
- Current curriculum vitae.
- Academic transcripts.
- A short paragraph explaining the fit between the applicant's interests and the AiR Lab's research.
- GRE scores for international applicants, as requested in the recruitment announcement.
- TOEFL or IELTS scores for international applicants.
- For formal admission: statement of purpose, recommendation letters, official academic records and any additional documents requested by LSU New Orleans.
Language/test requirements
How to submit applications
Provider: Department of Computer Science, LSU New Orleans
The user-submitted recruitment image provides the opening, Spring 2027 intake, fully funded claim, research focus, selection criteria and initial email requirements. Programme: https://www.lsuneworleans.edu/academics/cos/computer-science/graduate Graduate admissions: https://www.lsuneworleans.edu/admissions/graduate Deadlines: https://www.lsuneworleans.edu/admissions/deadlines Assistantships: https://www.lsuneworleans.edu/academics/grad/assistantships
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