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CBS - Postdoctoral Position, Artificial Intelligence Applied to Multi-Omics Data Integration
Mohammed VI Polytechnic University
Morocco
Mohammed VI Polytechnic University
Morocco
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.
Salary
Competitive
Posted
9 Feb 2026
CBS - Postdoctoral Researcher in Reverse Osmosis Membrane Cleaning and Fouling Control
Mohammed VI Polytechnic University
Morocco
Mohammed VI Polytechnic University
Morocco
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.
Salary
Competitive
Posted
9 Feb 2026
CBS - Post-doctoral for the Development of MOF Materials for Sensing in Liquid Mediums
Mohammed VI Polytechnic University
Morocco
Mohammed VI Polytechnic University
Morocco
Qualification Type: Postdoctoral position Location: Ben Guérir, Morocco Funding for: National/International Researchers Funding amount: To be defined Hours: Full Time Closes: Until filled Reference: Application Deadline : Until Filled Job Description: The CBS department at UM6P is looking for a highly motivated candidate with strong expertise and interest in developing MOFs and their composites for sensing. Metal-organic frameworks (MOFs) have gained significant attention in sensing due to their high surface area, tunable porosity, and chemical versatility. These properties make them excellent candidates for detecting various analytes in liquid media, including heavy metals, organic pollutants, biomolecules, and gases dissolved in water. The job vacancy involves designing, synthesizing, and characterizing highly catalytic active MOF composites for sensing using fluorescence-based sensing. Required qualifications: The candidates must have strong experience in MOF synthesis and characterization with a PhD and demonstrated experience in Materials Science, Materials Chemistry, Inorganic chemistry, catalysis, and related disciplines. The candidate should also have experience in sensing. The candidate is recommended to demonstrate experience in sensing and undertake independent research, managing research activities of Master students, and supervising PhD students. Fluency in English and a proven ability to write scientific articles are also mandatory. The post-doctoral fellow should be an effective team player to interact constructively with the interdisciplinary team of the CBS department and other collaborators with different backgrounds. Please contact samir.elhankari@um6p.ma The project requires the following skills: Familiar with the fabrication and characterization of porous functional materials such as MOFs and MOF composites as well as the fabrication of different nanoparticles Able to examine the textural and structural changes of porous material catalysts before, during, and after the reaction using a panoply of characterization techniques such as XRD, N2 adsorption, FESEM, TEM, XAS, XPS, dissolution-NMR, IR spectroscopy and TGA and other related spectroscopy techniques such as UV and fluorometer Able to monitor the obtained products through different analytical techniques including photoluminescence. Familiar with the understanding of sensing mechanism using photoluminescence, Insertion and encapsulation of nanoparticles within the porous materials About UM6P: Located at the heart of the future Green City of Benguerir, Mohammed VI Polytechnic University (UM6P), a higher education institution with an international standard, is established to serve Morocco and the African continent. Its vision is honed around research and innovation at the service of education and development. This unique nascent university, with its state-of-the-art campus and infrastructure, has woven a sound academic and research network, and its recruitment process is seeking high-quality academics and professionals to boost its quality-oriented research environment in the metropolitan area of Marrakech. About CBS/GPE: Research within CBS-GPE is organized around two main areas: Chemistry with its main chemical engineering component, chemo-biology and treatments and their applications in industries. CBS-GPE projects aim to achieve an in-depth understanding of the molecular mechanisms of these transformations to suggest new, original, more effective, sustainable and environmentally friendly alternatives. Funding information : This position is available for one year, extended to two years depending on the performance. Interested applicants should submit their online application with CV, cover letter and 2 contacts for recommendation. Applications are open until the position is filled. Guidance from leading experts in the field and research training at UM6P. Workspace at UM6P campus, and resources to attend and present at conferences and workshops. A vibrant research environment in the CBS department, with regular research seminars, reading groups, workshops and conferences.
Salary
Competitive
Posted
9 Feb 2026
Post-Doctoral Associate in the Division of Science (Chemistry) Artificial Intelligence
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
Description The Smart Materials Lab (Panče Naumov Group) at the Division of Science and Mathematics, New York University Abu Dhabi, seeks to recruit a highly motivated post-doctoral candidate in the areas of Artificial Intelligence (AI) for materials science, with an emphasis on structure-property-relationships, materials optimization, materials under extreme conditions, and generative AI. Candidates must possess substantial experience in artificial intelligence and machine learning methods, specifically in AI-driven materials discovery, machine learning applications for materials, or generative AI related to materials. The successful candidate will independently lead a project focused on developing generative AI models to establish structure-property relationships for materials discovery. This individual will be expected to collaborate closely with the project team and coordinate efforts with experimentalists from the Smart Materials Lab (SML) and the Center for Smart Engineering Materials (CSEM) at NYUAD. The results of this work are anticipated to be published in peer-reviewed journals and presented at prominent conferences. We offer unique opportunities for cross-disciplinary collaborations, organization of scientific workshops, and attendance at conferences. Key qualifications include a PhD in a relevant field, expertise in AI/ML (e.g., PyTorch, TensorFlow, Python), interest in materials applications, and a strong publication record. The position is for two years, with the possibility of renewal, subject to mutual agreement. The successful candidate is also expected to play an active role in other projects and activities within the Smart Materials Lab and assist in supervising undergraduate or PhD students. To apply, submit a cover letter, a curriculum vitae that includes a complete publication list, a statement of research interests, a transcript,and three letters of reference, all in PDF format. For any inquiries, please contact Dr. Panče Naumov (pance.naumov@nyu.edu). The terms of employment are very competitive and include housing and educational subsidies for children. Applications are being accepted immediately, and candidates will be considered until the position is filled. About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer UAE Nationals are encouraged to apply
Salary
Competitive
Posted
9 Feb 2026
Research Assistant in the Center for Interdisciplinary Data Science and Artificial Intelligence
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
Description The New York University Abu Dhabi Center for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) and Computational Approaches to Modeling Language (CAMeL) Lab seek to hire a new research assistant to work in any of the CIDSAI/CAMeL research areas, to be involved in the development of open-source tools and resources, and to work on publications related to their work. The newly established CIDSAI’s mission is to produce research in data science and artificial intelligence. The CAMeL lab’s mission is focused on research in Arabic natural language processing and computational linguistics. The selected candidate will assist with specific projects in CIDSAI that involve Arabic NLP, and will be housed in the CAMeL Lab. Since its establishment in 2014, the CAMeL Lab has produced over 180 publications and 20 language resources and tools. The lab website is http://www.camel-lab.com/. Google Scholar of the lab is at http://scholar.camel-lab.com/. The position will target the rank of Research Assistant (with BS or MS). A strong preference is for individuals with (a) computer science or computer engineering degrees including previous experience in natural language processing or computational linguistics/language technologies degrees; (b) strong programming and software engineering skills, and machine learning experience; and (c) some research publication experience. Knowledge of Arabic language is preferred, but not required. Previous work on Arabic NLP is preferred but not required. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree, a one-page summary of research accomplishments and interests, and at least 2 letters of recommendation, all in PDF format. Please visit our website at https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research.html for instructions and information on how to apply. If you have any questions, please email: nizar.habash@nyu.edu. About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. EOE/AA/Minorities/Females/Vet/Disabled/SexualOrientation/Gender Identity Employer UAE Nationals are encouraged to apply. Equal Employment Opportunity Statement For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
Salary
Competitive
Posted
9 Feb 2026