Red Sea University

Position Overview: We are seeking an outstanding Postdoctoral Researcher in Artificial Intelligence (AI) and Data Science with expertise in multi-omics data integration for health and precision medicine. The successful candidate will join a multidisciplinary team developing AI-driven approaches to integrate and analyze genomics, transcriptomics, proteomics, metabolomics, and microbiome datasets to uncover biomarkers, therapeutic targets, and mechanistic insights into complex diseases. The project addresses critical challenges in personalized medicine, disease stratification, and multi-modal data fusion, enabling next-generation solutions in precision health and biomedical research. Scientific Challenges Addressed in the Position: Heterogeneity and high dimensionality of multi-omics data requiring advanced AI/ML methods for robust analysis and integration. Data sparsity, batch effects, and missing values across different omics layers and platforms. Cross-omics data fusion and representation learning for comprehensive systems biology modeling. Identification of causal relationships and biomarker discovery through integrative approaches. Time-series and longitudinal multi-omics data analysis for disease progression modeling. Explainability and interpretability of AI models to support clinical decision-making and regulatory compliance in healthcare settings. Scalability and computational efficiency in processing and integrating massive multi-omics datasets from clinical cohorts. Key Responsibilities: Design and implement AI/ML pipelines for multi-omics data integration, including supervised and unsupervised learning methods. Develop deep learning architectures (e.g., variational autoencoders, graph neural networks, transformers) for cross-omics data representation and feature extraction. Apply multi-view learning, transfer learning, and data fusion techniques to integrate heterogeneous omics datasets and clinical metadata. Conduct network-based analysis (gene regulatory networks, protein-protein interaction networks, metabolic networks) to identify key disease drivers and biomarkers. Build predictive models for disease classification, patient stratification, and treatment response prediction. Collaborate with biologists, clinicians, and bioinformaticians for data interpretation and validation of computational findings in clinical or experimental settings. Disseminate research outcomes through publications in high-impact journals, conference presentations, and workshops. Mentor and support the training of graduate students and early-career researchers in AI and multi-omics integration. Required Qualifications: Ph.D. in Bioinformatics, Computational Biology, Data Science, Artificial Intelligence, or a related field. Proven experience in multi-omics data integration, omics data analysis (genomics, transcriptomics, proteomics, metabolomics, microbiome). Strong expertise in machine learning, deep learning, and advanced AI frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with bioinformatics tools and databases (e.g., Bioconductor, Galaxy, KEGG, Reactome, STRING). Proficiency in Python, R, and Unix/Linux-based environments for high-performance data analysis. Knowledge of biological network inference, causal modeling, and graph-based AI approaches. Experience in multi-modal data fusion, representation learning, and heterogeneous data integration. Strong publication record in relevant peer-reviewed journals. Excellent communication skills and ability to work in a multidisciplinary environment. Familiarity with cloud-based computing platforms (AWS, Azure, Google Cloud) and high-performance computing (HPC) environments. Understanding of data privacy, security, and ethical considerations in handling clinical data. Application Process: Interested candidates should submit the following documents in a single PDF: A cover letter outlining their research interests, motivation, and relevant experience. A detailed Curriculum Vitae (CV) with a list of publications. Contact details of two academic referees.

Areas of research Thermal processing of minerals pyrometallurgy Job Description The Geology and Sustainable Mining Institute (GSMI) at Mohammed VI Polytechnic University (UM6P) is seeking applications for an 18-month postdoctoral position in the field of mineral thermal processing and pyrometallurgy. The position is part of strategic, industry-linked research projects funded by the OCP Group.The postdoctoral researcher will focus on the development of innovative high-temperature processes for the transformation, upgrading, or enrichment of mineral resources, particularly those derived from complex or secondary ores. The work will include the study of the thermal and physicochemical properties of minerals, design and execution of thermal treatment experiments (e.g., calcination, roasting, smelting), and optimization of pyrometallurgical flow sheets for the production of value-added materials or metals.The selected candidate will contribute to both fundamental understanding and industrial applications of thermal processing, including product characterization, process design and modeling, and techno-economic evaluation of pyrometallurgical routes. Qualifications Ph.D. or equivalent doctoral degree in Metallurgy, Process Engineering, Materials Chemistry, or a related discipline, with a specialization in pyrometallurgy or mineral thermal processing. Strong background in material characterization techniques (e.g., XRD, TGA/DSC, SEM, etc.). Hands-on experience in laboratory-scale thermal treatment using muffle furnaces, tubular reactors, or pilot-scale kilns. Proven ability to conduct independent research, analyze data critically, and communicate results effectively. Excellent scientific writing and oral communication skills in English are required; proficiency in French is a plus. Preferred Qualifications Experience in pyrochimical processing of oxide, sulfide, or silicate ores. Familiarity with thermodynamic simulation software (e.g., FactSage, Thermo-Calc, etc). Previous involvement in industry-oriented or collaborative research projects. Application Process: Interested candidates should submit the following documents: A cover letter detailing their research interests and relevant experience. A curriculum vitae (CV) including a list of publications if exist. Contact information for two professional references. Other documents that the candidate considers important for the recruitment process. Applications should be submitted electronically with all documents attached in a single file or zipped in a single folder with the mention ‘mineral processing’’ in the subject. The applications will be reviewed by a scientific committee. The selection board will decide from among the eligible applicants those who will be invited to attend an interview. Join us at GSMI, UM6P, and contribute to cutting-edge research in mineral processing and extractive metallurgy. We look forward to welcoming a dynamic and dedicated researcher to our team. About the employer The University Mohammed VI Polytechnic is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its fields. The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Morocco's frontline position in these fields, in a unique partnership-based approach and boosting skills training relevant to the future of Africa. The University Mohammed VI Polytechnic aspires to leave its mark nationally, continentally, and globally. UM6P is located in the municipality of Benguerir, in the very heart of the Green City and only 70 km away from Marrakesh. Thanks to its prestigious architectural landscape and modern equipment, the UM6P offers premium conditions for a desirable lifestyle.

About UM6P: University Mohammed VI Polytechnic is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its fields. The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Morocco's frontline position in these fields, in a unique partnership-based approach and boosting skills training relevant to the future of Africa. University Mohammed VI Polytechnic aspires to leave its mark nationally, continentally, and globally. UM6P is located in the municipality of Benguerir, in the very heart of the Green City and only 70 km away from Marrakesh. Thanks to its prestigious architectural landscape and modern equipment, the UM6P offers premium conditions for a desirable lifestyle. Position Title: Postdoctoral Researcher – non-conventional phosphates beneficiation. Duration: 12 months. Position Summary: We are seeking a highly motivated and technically skilled postdoctoral researcher to join a multidisciplinary research project dedicated to the sustainable valorization of non-conventional phosphates (including phosphates sludges) and the development of beneficiation processes (classification, grinding and flotation or others). The successful candidate will lead research efforts to evaluate the feasibility of upgrading non-conventional phosphates by flotation or other techniques. This work will involve mineralogical and chemical characterization, process testing at laboratory scale, and techno-economic evaluation of developed routes. The project contributes to Morocco’s strategic objectives in resource valorization, environmental sustainability, and circular economy, in close collaboration with academic and industrial partners. Area of Research: Sustainable mineral processing, with emphasis on phosphates beneficiation and process optimization. Main responsibilities: Conduct literature review on phosphate ore and waste processing and valorization; Operate and maintain mineral processing and analytical instruments; Design and execute laboratory-scale experiments for beneficiation (flotation, and others); Assess process parameters to optimize recovery and product quality; Evaluate potential valorization routes for process by-products and residues; Analyze, interpret, and synthesize experimental data to support process development; Contribute to the economic and environmental assessment of developed processes; Contribute to the preparation of scientific reports, publications, and technical notes. Collaborate with researchers, engineers, and students on project activities. Participate in regular project reviews and research meetings. Collaborate with internal teams, partner laboratories, and industrial stakeholders. Candidate Profile: Required qualifications : PhD in mineral processing, materials science, metallurgical engineering, or related discipline; Proven experience in ore characterization and process development; Strong background in mineral beneficiation; Excellent analytical and problem-solving skills; Strong scientific writing and communication abilities in English (French is an asset); Ability to work both independently and within a collaborative research environment. Application Process: Interested candidates should submit the following documents: A cover letter detailing their motivation and relevant experience A curriculum vitae (CV) Contact information for one or two academic or professional references Any additional supporting documents the candidate deems important Applications should be submitted electronically by March 15th, 2026, with all documents attached in a single file or zipped folder and the subject line: Non-conventional phosphates valorization – Post doc Applications will be reviewed by a scientific committee, and shortlisted candidates will be contacted for an interview