Jerusalem College of Engineering

Institution / Department Mohammed VI Polytechnic University Chemical & biochemical sciences.green process engineering Research Unit on Microbiome and Host-Pathogen Interactions Project Overview We are seeking a talented and motivated Postdoctoral Research Fellow to join our dynamic team investigating the role of microbiome dysbiosis in human health and disease. The project focuses on deciphering how imbalances in the gut microbiota contribute to chronic inflammatory conditions, colorectal cancer (CRC), and immune dysfunction, with an emphasis on discovering biomarkers and developing microbiome-based therapies. The research integrates multi-omics approaches (metagenomics, transcriptomics, proteomics, metabolomics) to understand how dysbiosis influences immune responses, barrier function, and host metabolism. Key Responsibilities Lead metagenomic, proteomics, and metabolomic profiling of clinical and experimental samples to identify dysbiosis signatures. Apply bioinformatics tools for microbiome data analysis (ex, QIIME2, MetaPhlAn, Kraken2). Collaborate on multi-omics data integration and analysis. Contribute to manuscript writing, conference presentations, and grant applications. Required Qualifications PhD in Microbiology, Immunology, Systems Biology, Bioinformatics, or a related discipline. Proven experience in microbiome research, particularly in gut microbiota. Experience with next-generation sequencing (NGS) and omics data analysis. Knowledge of microbial ecology, dysbiosis, and host-microbiome interactions. Familiarity with cell culture techniques. R, Python, or other data science tools for microbiome analysis. Publication record in peer-reviewed journals. Preferred Qualifications Experience with colorectal cancer models or inflammatory bowel disease (IBD). Familiarity with metabolomics (LC-MS, GC-MS) and analysis of microbial metabolites. Expertise in interkingdom microbiome research (fungi, viruses, archaea). Understanding of immunomodulation by the microbiota in cancer and chronic inflammation. Why Join Us? Work at the frontier of precision microbiome medicine and immune-oncology. Access to state-of-the-art facilities for genomics, proteomics, and metabolomics. Join an international, multidisciplinary team with collaborations across the US/Canada/Europe/Asia. Opportunity to lead high-impact publications and develop independent research projects. Application Process: Applicants should submit the following in a single PDF file: A Cover Letter explaining their interest and fit for the position A detailed Curriculum Vitae (CV) Names and contact details of 2–3 references Up to three key publications (optional)

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.

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 We are seeking a postdoctoral researcher specialized in membrane processes, with particular expertise in chemical cleaning and fouling control of reverse osmosis membranes. The selected candidate will contribute to an in-depth study of organic, colloidal, biological, and inorganic fouling mechanisms, the optimization of cleaning protocols (CIP – Cleaning in Place), and the development of sustainable solutions to extend membrane lifespan while maintaining optimal performance. Special attention will be given to evaluating the effectiveness of cleaning agents, their chemical compatibility with membrane materials, and minimizing the environmental impact of cleaning operations. Key Responsibilities: The selected candidate will conduct research on fouling mechanisms in reverse osmosis membranes, including organic, colloidal, biological, and inorganic types. They will be responsible for developing and optimizing effective, sustainable, and chemically compatible cleaning-in-place (CIP) protocols. Particular attention will be given to evaluating cleaning efficiency through performance indicators and advanced characterization techniques. The candidate will also work on proposing environmentally friendly cleaning strategies aimed at reducing chemical usage and extending membrane lifespan. In addition, they will contribute to the design and monitoring of pilot-scale cleaning systems and support the supervision of junior researchers, while actively participating in the dissemination and valorization of research outcomes. Candidate Criteria PhD in Chemistry, with a specialization in inorganic chemistry, water treatment, or a related field. Experience related to membrane cleaning and fouling management is highly desirable. Research excellence demonstrated in the fields of desalination, water treatment, or sustainable membrane processes, with a particular focus on fouling and membrane cleaning, supported by publications in reputable international scientific 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 is 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, 3 reference letters. Our Offer Very competitive salary and benefits package. A unique set of research partners and collaborators.