VIZJA University

About Mohammed VI Polytechnic University (UM6P) Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable economic development of Morocco and Africa. UM6P is an institution oriented towards applied research and innovation. On a specific focus on Africa, UM6P aims to position these fields as the forefront and become a university of international standing. More than just a traditional academic institution, UM6P is a platform for experimentation and a pool of opportunities, for students, professors, and staff. It offers a high-quality living and study environment thanks to its state-of-the-art infrastructure. With an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. In its research approach, the UM6P promotes transdisciplinary, entrepreneurship spirit and collaboration with external institutions for developing up to date science and at continent level in order to address real challenges. All our programs run as start-ups and can be self-organized when they reach a critical mass. Thus, academic liberty is promoted as far as funding is developed by research teams. The research programs are integrated from long-term research to short-term applications in linkage with incubation and start-up ecosystems. About the Chemical & Biochemical Sciences Green Process Engineering (CBS) The Chemical & Biochemical Sciences Green Process Engineering Department (CBS) is a component of the Mohammed VI Polytechnic University (UM6P). The main objective of CBS is to set up a distinctive research-teaching program, of international level, to meet the research and teaching challenges of UM6P, on green and environmental chemistry applied to all aspects of chemical sciences: organic and inorganic chemistry, analytical chemistry, chemical biology, biochemical and thermal reactions. Research at CBS is organized around several major areas, which aim to answer challenging industrial questions, from complex chemical and biochemical reactions to scale-up and validation of process engineering. CBS projects aim at an in-depth understanding of the molecular mechanisms of all transformations to propose new original alternatives in terms of efficiency, environmental friendliness, and sustainability. Job Description The CBS department at UM6P is seeking a highly motivated and qualified researcher for a Postdoctoral position in Hydrometallurgy with the common objective to develop sustainable recycling processes for separation and recovery of valuable and critical metals from various waste streams. The successful candidate will contribute significantly to advancing the department's research initiatives and supporting mission of research excellence and innovation. The work includes the design and experimental study of basic model as well as more applied systems. Key Responsibilities: Expertise in hydrometallurgy, and/or flotation, precipitation, etc. Strong academic credentials and scientific proficiency documented in publications. Strong laboratory/instrumental skills An analytical approach Awareness of diversity and equal treatment issues with a particular focus on gender equality Analyse experimental data, interpret results, and contribute to the development of new hypotheses and research directions.​ Prepare manuscripts for publication in peer-reviewed scientific journals and present research findings at national and international conferences.​ Collaborate with interdisciplinary research teams within the department and with external partners to enhance research outcomes.​ Candidate Criteria A doctoral degree or an equivalent foreign degree in chemistry, chemical engineering or hydrometallurgy. Research Excellence: A strong track record of high-quality research demonstrated through publications in reputable international journals. Collaborative Mindset: Proven ability to collaborate effectively with interdisciplinary teams and external partners to address complex challenges. Communication Skills: Excellent communication and presentation skills in English. Proficiency in French a plus. Entrepreneurial Spirit: Alignment with UM6P's focus on entrepreneurship, Application and Selection: The application folder must contain: Detailed CV, Cover letter along with a comprehensive presentation of the candidate background, research work, projects, and key activities (publications and achievements) Research and teaching statement, entrepreneurial ideas, and concepts if any, and services to UM6P community: max 3-4 pages, 2 reference letters. Our Offer Very competitive salary and benefits package. A unique set of research partners and collaborators.

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.

Host Institution Mohammed VI Polytechnic University (UM6P) is an institution dedicated to research and innovation in Africa, aiming to position itself among the world’s leading universities in its fields. The University is committed to economic and human development and places research and innovation at the heart of Africa’s progress. This approach enables UM6P to strengthen Morocco’s leadership in these areas through a unique model based on partnerships and by fostering the development of skills essential for Africa’s future. Located in the municipality of Benguerir, at the heart of the Green City, Mohammed VI Polytechnic University aspires to make a lasting impact at the national, continental, and global levels. About ARC_AIR – African Research Center on Air Quality and Climate: The African Research Center on Air Quality and Climate (ARC_AIR) is a research unit within UM6P dedicated to advancing scientific understanding and innovative solutions in the fields of air quality, atmospheric chemistry, and climate. ARC_AIR’s mission is to support sustainable development in Africa through high-impact research, capacity building, and technology transfer. The center brings together a multidisciplinary team of researchers, engineers, and students working on addressing environmental challenges such as industrial emissions, urban pollution, and climate change impacts. ARC_AIR also collaborates closely with national and international partners to strengthen Africa’s contribution to global atmospheric science and to develop tools and strategies that guide evidence-based policymaking. Research Area Earth Observation Artificial Intelligence Climate Change Urban and Territorial Sustainability Water–Energy–Food Nexus Position Description African Research Center on Air Quality and Climate (ARC_AIR) of UM6P invites applications for a Postdoctoral Researcher position within an interdisciplinary research program focusing on the integrated analysis of climate change, urbanization, resource systems, and territorial performance, with a particular emphasis on Morocco, Africa, and semi-arid to arid regions. The postdoctoral researcher will contribute to cutting-edge research at the intersection of Earth Observation, geospatial analytics, artificial intelligence, climate and sustainability science, aiming to develop predictive, decision-oriented, and operational frameworks for climate-resilient and sustainable territories. Research Scope and Objectives The successful candidate will contribute to the following research axes: AI-driven territorial diagnostics and foresight, integrating multi-source satellite data with machine learning and spatial modeling Climate–water–energy–agriculture interactions, with applications to water scarcity, urban heat stress, air quality, and territorial resilience Land-use and land-cover change (LULCC) and its impacts on surface climate, ecosystem services, and socio-economic systems Urban and territorial sustainability indicators, observatories, and decision-support tools for policy and planning Energy demand and territorial energy metabolism, including building-scale, urban-scale and territorial-scale assessments Urban and peri-urban agriculture as climate-resilient territorial solutions Expected Contributions By joining this program, the postdoctoral researcher is expected to: Conduct independent and collaborative research leading to publications in high-impact international journals Develop and apply advanced geospatial, statistical, and AI-based methodologies Contribute to international research projects, reports, and proposals Support the supervision of graduate students and contribute to capacity building Engage in interdisciplinary collaboration with researchers, institutions, and stakeholders Candidate Profile Required Qualifications PhD in Remote Sensing, Geospatial Sciences, Environmental Science, Climate Science, Data Science, Urban Studies, or related fields Strong background in Earth Observation data analysis and/or spatial modeling Proven ability to publish in high impact peer-reviewed international journals Experience with machine/deep learning / AI applied to environmental or urban systems Familiarity with climate modeling, urban climate, urban agriculture, water resources, and energy systems Experience working in interdisciplinary or international research projects Interest in policy-relevant and impact-oriented research Application Procedure Interested candidates should submit the following documents: Cover letter outlining research interests and motivation Curriculum Vitae (including publication list) Research statement (1–2 pages) describing alignment with the research program One or two representative publications Contact information of two referees