Jobs at United Arab Emirates University, Department of Family Medicine

Job DescriptionThe Desert Environment Research Center (DERC) at United Arab Emirates University is seeking a highly motivated Research Assistant to support its research on land degradation, soil erosion, and climate-related hazards in arid and semi-arid environments. The RA will work closely with the center’s faculty, postdoctoral researchers, and external partners to develop geospatial datasets, analytical models, and maps that inform sustainable land and water management in desert landscapes. The successful candidate will contribute to the integration of GIS, remote sensing, and data-driven modeling to assess soil erosion, flood and drought risk, groundwater vulnerability, and other environmental hazards relevant to desert ecosystems. The RA will assist in compiling multi-source spatial data (e.g., satellite imagery, digital elevation models, climate and hydrological data), developing and validating predictive models, and preparing high-quality maps, figures, and reports for scientific publications and applied projects. Key responsibilities include: Collecting, cleaning, and managing spatial and non-spatial environmental datasets related to land degradation, surface processes, and water resources in arid and semi-arid regions. Performing GIS-based analyses and remote sensing workflows (e.g., image classification, change detection, land-use/land-cover mapping, terrain analysis). Supporting the development and implementation of statistical, machine-learning, or physically based models for soil erosion, flood susceptibility, drought risk, or related hazards. Assisting in the preparation of scientific manuscripts, technical reports, presentations, and policy-relevant outputs. Contributing to field data collection and ground-truthing campaigns when required, and integrating field observations with geospatial analyses. Collaborating with an interdisciplinary team working on desert soil systems, ecosystem resilience, and sustainable land and water management.Minimum Qualification A completed Master’s degree in Geography, Environmental Science, Geomatics, Geoinformatics, Civil/Environmental Engineering, or a closely related field with a strong focus on GIS and remote sensing. Solid hands-on experience with GIS software (e.g., ArcGIS, QGIS) and remote sensing tools (e.g., ENVI, SNAP, or similar). Demonstrated experience in applying geospatial analysis to topics such as land degradation, soil erosion, natural hazards, hydrology, water resources, or climate-related environmental change. Good skills in quantitative analysis and handling large spatial datasets. Evidence of scientific writing ability (e.g., MSc thesis, reports, or publications). Ability to communicate effectively in English and to work in a collaborative, research-oriented environment.Preferred Qualification Experience with programming/scripting for geospatial analysis (e.g., Python, R, or MATLAB), including the use of machine-learning or statistical libraries for environmental modeling. Familiarity with handling and analyzing multi-temporal satellite imagery (e.g., Landsat, Sentinel, MODIS) for land-use/land-cover change, vegetation indices, drought monitoring, or similar applications. Previous research experience in arid or semi-arid regions, especially in topics related to soil erosion, land degradation, groundwater, or surface hydrology. A track record of peer-reviewed publications or conference presentations in relevant fields. Experience in integrating GIS/remote sensing with hydrological or geomorphological modeling.Expected Skills Early-career researcher with strong technical skills in GIS, remote sensing, and spatial data analysis. 0–5 years of post-Master’s research or professional experience; candidates with more experience and a strong publication record are also welcome to apply. Strong analytical and problem-solving skills, with the ability to design and implement geospatial workflows independently under supervision. Demonstrated ability to manage multiple tasks, meet deadlines, and document methods in a reproducible way. Excellent interpersonal skills and the ability to work as part of an interdisciplinary team addressing desert environment challenges.Close Date Kindly apply before the closing date.21/03/2026ApplyDepartmentDivisionGradePosting NumberPosition Number Show more Show less

Job DescriptionRadiology Department at the College of Medicine and Health Sciences of the United Arab Emirates University (UAEU) is announcing the position of a research assistant in clinical research and, in particular, medical imaging. The research is to perform diagnostic and predictive models of various diseases by applying conventional and deep learning approaches to demographic, environmental and multimodal medical data. Tasks to accomplish: perform manual segmentation of medical images; critically appraisal research findings; describe and justify results of statistical analysis, discuss study results with recent literature.Minimum QualificationMS/PhD degree in relevant sphere of studies will be of advantage basic knowledge of medical and biological statistics, - good writing skills in Academic English, - experience in conducting medical and/or biological studies,Preferred QualificationAs aboveExpected SkillsCommunicate effectively with health care professionals * Communicate fluently in English language * Preparing Health care / hospital statisticsSalary Range5000 - 6000 based on Qualification and ExperienceClose Date Kindly apply before the closing date.28/03/2026ApplyDepartmentDivisionGradePosting NumberPosition Number Show more Show less

Job DescriptionRadiology Department at the College of Medicine and Health Sciences of the United Arab Emirates University (UAEU) is announcing the position of a research assistant in clinical research and, in particular, medical imaging. The research is to perform diagnostic and predictive models of various diseases by applying conventional and deep learning approaches to demographic, environmental and multimodal medical data. Tasks to accomplish: perform manual segmentation of medical images; critically appraisal research findings; describe and justify results of statistical analysis, discuss study results with recent literature.Minimum QualificationMS/PhD degree in relevant sphere of studies will be of advantage basic knowledge of medical and biological statistics, - good writing skills in Academic English, - experience in conducting medical and/or biological studies,Preferred QualificationAs aboveExpected SkillsCommunicate effectively with health care professionals * Communicate fluently in English language * Preparing Health care / hospital statisticsSalary Range5000 - 6000 based on Qualification and ExperienceClose Date Kindly apply before the closing date.28/03/2026ApplyDepartmentDivisionGradePosting NumberPosition Number Show more Show less

Job DescriptionThe Desert Environment Research Center (DERC) at United Arab Emirates University is seeking a highly motivated Research Assistant to support its research on land degradation, soil erosion, and climate-related hazards in arid and semi-arid environments. The RA will work closely with the center’s faculty, postdoctoral researchers, and external partners to develop geospatial datasets, analytical models, and maps that inform sustainable land and water management in desert landscapes. The successful candidate will contribute to the integration of GIS, remote sensing, and data-driven modeling to assess soil erosion, flood and drought risk, groundwater vulnerability, and other environmental hazards relevant to desert ecosystems. The RA will assist in compiling multi-source spatial data (e.g., satellite imagery, digital elevation models, climate and hydrological data), developing and validating predictive models, and preparing high-quality maps, figures, and reports for scientific publications and applied projects. Key responsibilities include: Collecting, cleaning, and managing spatial and non-spatial environmental datasets related to land degradation, surface processes, and water resources in arid and semi-arid regions. Performing GIS-based analyses and remote sensing workflows (e.g., image classification, change detection, land-use/land-cover mapping, terrain analysis). Supporting the development and implementation of statistical, machine-learning, or physically based models for soil erosion, flood susceptibility, drought risk, or related hazards. Assisting in the preparation of scientific manuscripts, technical reports, presentations, and policy-relevant outputs. Contributing to field data collection and ground-truthing campaigns when required, and integrating field observations with geospatial analyses. Collaborating with an interdisciplinary team working on desert soil systems, ecosystem resilience, and sustainable land and water management.Minimum Qualification A completed Master’s degree in Geography, Environmental Science, Geomatics, Geoinformatics, Civil/Environmental Engineering, or a closely related field with a strong focus on GIS and remote sensing. Solid hands-on experience with GIS software (e.g., ArcGIS, QGIS) and remote sensing tools (e.g., ENVI, SNAP, or similar). Demonstrated experience in applying geospatial analysis to topics such as land degradation, soil erosion, natural hazards, hydrology, water resources, or climate-related environmental change. Good skills in quantitative analysis and handling large spatial datasets. Evidence of scientific writing ability (e.g., MSc thesis, reports, or publications). Ability to communicate effectively in English and to work in a collaborative, research-oriented environment.Preferred Qualification Experience with programming/scripting for geospatial analysis (e.g., Python, R, or MATLAB), including the use of machine-learning or statistical libraries for environmental modeling. Familiarity with handling and analyzing multi-temporal satellite imagery (e.g., Landsat, Sentinel, MODIS) for land-use/land-cover change, vegetation indices, drought monitoring, or similar applications. Previous research experience in arid or semi-arid regions, especially in topics related to soil erosion, land degradation, groundwater, or surface hydrology. A track record of peer-reviewed publications or conference presentations in relevant fields. Experience in integrating GIS/remote sensing with hydrological or geomorphological modeling.Expected Skills Early-career researcher with strong technical skills in GIS, remote sensing, and spatial data analysis. 0–5 years of post-Master’s research or professional experience; candidates with more experience and a strong publication record are also welcome to apply. Strong analytical and problem-solving skills, with the ability to design and implement geospatial workflows independently under supervision. Demonstrated ability to manage multiple tasks, meet deadlines, and document methods in a reproducible way. Excellent interpersonal skills and the ability to work as part of an interdisciplinary team addressing desert environment challenges.Close Date Kindly apply before the closing date.21/03/2026ApplyDepartmentDivisionGradePosting NumberPosition Number Show more Show less

Job DescriptionRadiology Department at the College of Medicine and Health Sciences of the United Arab Emirates University (UAEU) is announcing the position of a research assistant in clinical research and, in particular, medical imaging. The research is to perform diagnostic and predictive models of various diseases by applying conventional and deep learning approaches to demographic, environmental and multimodal medical data. Tasks to accomplish: 1. Preprocessing of medical images: de-identifying the images, data preparation and denoising of the diagnostics images, 2D and 3D data scaling and normalization, the development of image data loaders in PyTorch or its analogs, the preprocessing of numerical and textual data in the images, replacing/removing missing values; testing the data for outliers, finding duplicated or highly correlated features; applying masks of the studied organ to the diagnostic images, 2. Running classification, detection, and segmentation tasks (with 3DSlicer, CAT12, etc.). 3. Preparing analytics over the preprocessed dataset: checking whether the dataset is versatile enough for different ML approaches; finding correlations between different features; running feature selection algorithms to find the most informative data sources (numerical vs. images) 4. Building up regression and classification models and estimating their performance metrics: preparing a data visualization module for the qualitative and quantitative quality validation, training a deep convolutional neural net to get predictions based on 2D and 3D data, training models with spatial attention (standard and self-attention) to focus on the most valuable parts of 2D and 3D data, trying classical non-neural approaches (e.g. gradient boosting) to get predictions based on the whole dataset, adding functions for calculating ROC-AUC, error rate, precision, recall, sensitivity, specificity. 5. Applying deep learning-based architectures to analyze visual data in different variant: convolutional NN for classification tasks, single stage or multistage DLL detection systems, generative adversarial networks (GAN) for super-resolution and reconstruction, recurrent neural networks for automatic report generation.Minimum Qualification Knowledge of working with Big Data platforms and developing data mining models and analytics solutions Programming experience particularly in Python and R Experience in developing advanced machine learning models (e.g. deep learning, NLP, Computer Vision) Proven experience in related technology such as cloud computing, distributed systems, Hadoop, Spark, MapReduce, visualization tools (e.g. Power BI), etc. Experience with data visualization and reporting (e.g. Power BI)Preferred QualificationMS/PhD degree in relevant sphere of studies will be of advantageExpected Skills Communicate effectively with health care professionals * Communicate fluently in English language * Preparing Health care / hospital statisticsSalary Range5000 - 6000 based on Qualification and ExperienceClose Date Kindly apply before the closing date.31/03/2026ApplyDepartmentDivisionGradePosting NumberPosition Number Show more Show less