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Postdoctoral Researcher - Sustainable Civil Infrastructure Systems RG |
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CATEGORY
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Research |
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College
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Departments
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Department
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Rise - Research Institute of Sciences and Engineering |
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Job Purpose
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The Research Institute of Sciences and Engineering (RISE) invites applications for a full-time Postdoctoral Researcher specializing in Artificial Intelligence applications in Civil Engineering and Smart Infrastructure. The successful candidate will join the Sustainable Civil Infrastructure Systems (SCIS) Research Group, contributing to cutting-edge research at the intersection of digital technologies and resilient infrastructure systems.
We are seeking a highly motivated researcher with a doctoral degree in Civil Engineering and demonstrated expertise in the following areas:
- Advanced modeling, analysis, and optimization of smart civil infrastructure systems.
- Artificial Intelligence/machine learning applications in civil engineering.
- Emerging digital technologies for smart infrastructure, such as the Internet of Things (IoT), Digital Twins, Virtual and Augmented Reality (VR/AR), Geographic Information Systems (GIS), and Remote Sensing.
- Data analytics, deep learning, and advanced statistical methods for large-scale infrastructure data processing and predictive modeling.
The ideal candidate will demonstrate strong research capabilities, interdisciplinary collaboration skills, and a commitment to advancing innovative, technology-driven solutions for sustainable and intelligent infrastructure systems.
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Main accountabilities & expectations
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Contribute actively to assigned research projects in close collaboration with members of the SCIS Research Group, including proposing innovative research ideas aligned with group themes.
Develop and implement research methodologies, including model development, experimental design, data collection, processing, coding, and verification of research data.
Conduct comprehensive literature reviews and maintain organized research databases to ensure accurate data archiving, tracking, and analysis.
Prepare and support scholarly outputs, including drafting and editing research manuscripts for journals and conferences, as well as contributing to the development of research proposals and grant applications.
Participate in regular research meetings, contributing to discussions on grant preparation, manuscript development, quality assurance, and protocol design or revision.
Engage in continuous professional development through participation in case conferences, educational programs, workshops, seminars, and related academic activities.
Adhere strictly to safety regulations and institutional procedures, while working collaboratively within a team environment and supporting colleagues and supervisors as required.
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Required Skills
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Excellent command of relevant technical domains within the specified areas of specialization.
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Strong data processing and analytical skills, including data collection, analysis, and quality assurance.
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Proficiency in relevant technical and analytical software, such as MATLAB, Python (including machine learning and AI applications), and other data analysis tools.
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Sound knowledge of statistical analysis and statistical software, including XLStat, Minitab, Statgraphics, and SPSS.
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Excellent English communication skills, with strong writing, interpersonal, and training capabilities.
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Ability to develop, implement, and communicate operational procedures effectively.
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Demonstrated supervisory skills, including the ability to monitor performance and provide constructive feedback.
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Strong problem-solving abilities, with the capacity to exercise sound judgment in dynamic environments.
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Technical proficiency in installing and maintaining specialized hardware and software relevant to the area of expertise.
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Ability to collaborate effectively with diverse stakeholders, including students, faculty, staff, and research participants.
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Proficiency in Microsoft Office Suite applications.
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Desirable Requirements
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Doctor of Philosophy (PhD) in Civil Engineering from a recognized and accredited institution.
Strong proficiency in Microsoft Office applications and related computer skills.
Prior experience within an academic or higher education environment in a similar setting is considered an asset.
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Job Location
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University of Sharjah (Main) |
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Job Criteria
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Gender |
, Male, Female, |
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Qualifications |
Phd |
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Relevant Experience
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2 |
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Living In UAE |
Open for all |
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Nationality |
, All, |
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