About the job
The S.M.A.R.T. Construction Research Group (SMART Lab) at the company is seeking a Research Assistant to support research involving artificial intelligence (AI), robotics, remote sensing, and data analysis for infrastructure and environmental monitoring.
The research aims to investigate how AI, satellite imagery, autonomous robotic systems, and drone-based sensing technologies can be integrated to improve infrastructure and environmental monitoring. Particular emphasis will be placed on developing data-driven approaches to detect, assess, and monitor changes affecting infrastructure in desert and other challenging environments. Potential applications include identifying sand accumulation and encroachment near roads, monitoring environmental and terrain changes, assessing infrastructure conditions, and supporting more efficient inspection, maintenance, and decision-making processes.
The research will explore the use of machine learning, deep learning, computer vision, and geospatial analysis to process and interpret data collected from different sensing platforms. It may also involve the integration of mobile robots, drones, and other sensing technologies to support automated data collection, infrastructure inspections, and the validation of remote sensing observations. These activities aim to improve the reliability, efficiency, and automation of infrastructure monitoring while contributing to broader research on infrastructure resilience and sustainability.
The selected candidate will assist with data collection and processing, image analysis, computational modeling, and the development and testing of AI-based and robotic applications. Depending on the research activities, the candidate may also participate in laboratory experiments, robotic system integration, field surveys, and the evaluation of sensing and monitoring methods. The position will provide opportunities to gain hands-on experience with emerging technologies, develop technical and research skills, and collaborate with faculty, researchers, and students on interdisciplinary projects within SMART Lab and the SHORES Research Center at the company.
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Responsibilities Of The Position
- Conduct literature reviews on relevant research topics.
- Collect, organize, and process satellite images, robotic sensor data, and other research datasets.
- Assist in developing and testing machine learning and image-processing methods.
- Support geospatial data analysis and visualization.
- Assist with the development, programming, and testing of robotic applications for infrastructure monitoring.
- Participate in drone-based and robotic data collection and field activities, when applicable.
- Analyze and document research results.
- Assist in preparing research reports, presentations, and publications.
- Collaborate with other researchers and students.
What the Program Offers
- Full-time paid research position for up to 3 years.
- Mentorship by internationally recognized faculty members and researchers.
- Professional development and academic training opportunities.
- Exposure to interdisciplinary and collaborative research projects.
- Support in preparing for graduate school applications.
- Research experience in AI, robotics, remote sensing, and data analysis for infrastructure and environmental monitoring.
Supervision
This position is supervised by Dr. Borja García de Soto, Associate Professor of Civil and Urban Engineering, Director of the S.M.A.R.T. Construction Research Group, and Co-PI of the SHORES Research Center at the company.
Essential Qualifications
- Bachelor's degree in Civil Engineering, Computer Science, Computer Engineering, Mechanical Engineering, Electrical Engineering, Robotics, or a related field.
- Basic programming knowledge, preferably Python.
- Interest in AI, robotics, remote sensing, or infrastructure monitoring.
- Good analytical and problem-solving skills.
- Good written and spoken English.
- Ability to work independently and as part of a team.
Preferred Experience / Skills
- Basic understanding of machine learning or computer vision.
- Familiarity with image processing or data analysis.
- Experience with GIS or remote sensing tools.
- Basic experience with robotics, robotic programming, or autonomous systems.
- Familiarity with robotic sensors, drones, or mobile robotic platforms.
- Knowledge of ROS/ROS2 or similar robotics software frameworks is an advantage.
- Good communication and organizational skills.
Learning Outcomes and Professional Development
- Gain practical experience in applied research.
- Develop programming, data analysis, and machine learning skills.
- Learn about robotics, autonomous sensing, and their applications in infrastructure monitoring.
- Gain exposure to satellite imagery, remote sensing, and geospatial analysis.
- Participate in robotic and drone-based experiments and field data collection.
- Develop research, technical writing, and presentation skills.
- Contribute to research activities and scientific publications.
Applicants Should Prepare The Following Materials
- Curriculum vitae (CV).
- Statement of interest in the position.
- Academic transcript(s).
- Two letters of recommendation.
Additional Program Information
UAE nationals are encouraged to apply.
This position is under the company Kawader program, which allows outstanding graduates to gain experience in a cutting-edge academic research environment. This three-year, individually tailored, intensive program has two distinctive paths designed for Emirati graduates considering a graduate degree or a career in research.
