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Rakuno Gakuen University

Ebetsu-shi, Japan
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CBS - Postdoctoral Research Fellow in Antimicrobial Resistance and Resistome Mapping

MOHAMMED VI POLYTECHNIC UNIVERSITY

Mohammed VI Polytechnic University

Morocco

institution

Mohammed VI Polytechnic University

Morocco


Institution/Department Mohammed VI Polytechnic University Chemical & biochemical sciences.green process engineering Research Unit on Microbiome and Host-Pathogen Interactions Project Overview: We are looking for a highly motivated Postdoctoral Research Fellow to join our interdisciplinary team focused on antimicrobial resistance (AMR). The selected candidate will have a vital role in an innovative project that aims to map the resistome and clarify the mechanisms of multidrug resistance across diverse microbiomes—comprising clinical, environmental, and host-associated microbial communities. This project seeks to comprehend how antimicrobial resistance genes (ARGs) disseminate within microbial populations via horizontal gene transfer (HGT) and mobile genetic elements (MGEs) and how these processes affect human health, particularly regarding colorectal cancer (CRC). Key Responsibilities: Perform shotgun metagenomics and whole-genome sequencing (WGS) on microbial samples from various environments (clinical, environmental, tumor-associated microbiomes). Develop and implement bioinformatics pipelines for resistome, mobilome, and virulome profiling using tools such as MEGARes, CARD, VFDB, and PlasmidFinder. Investigate horizontal gene transfer (HGT) dynamics and plasmid-mediated dissemination of ARGs across microbial communities. Conduct phylogenetic and comparative genomic analyses to uncover the evolution of multidrug resistance in pathogenic bacteria. Analyze co-occurrence networks between resistance genes, virulence factors, and mobile elements in microbiome datasets. Collaborate with clinical partners and microbiome researchers to integrate multi-omics data for comprehensive resistome analysis. Publish high-quality research articles and present findings at international conferences. Contribute to grant writing and development of new research proposals. Required Qualifications: PhD in Microbial Genomics, Bioinformatics, Molecular Microbiology, Infectious Disease Biology, or a related field. Proven experience with high-throughput sequencing technologies (Illumina, Nanopore) and metagenomic analyses. Strong background in bioinformatics tools for microbiome analysis (QIIME2, Kraken2, MetaPhlAn) and AMR gene identification (MEGARes, CARD, ResFinder). Proficiency in Python, R, or Perl, with experience in Linux/Unix environments. Solid understanding of antimicrobial resistance mechanisms, horizontal gene transfer, and mobile genetic elements. Evidence of scientific publications in peer-reviewed journals. Excellent communication and teamwork skills. Preferred Qualifications: Experience in clinical microbiome research, oncology microbiomes, or environmental resistome surveillance. Familiarity with spatial metagenomics, single-cell microbiome analysis, or multi-omics data integration. Knowledge of machine learning approaches for resistome prediction or biomarker discovery is a plus. Why Join Us? Access to cutting-edge technologies (mass spectrometry, next-gen sequencing, high-performance computing). Work on high-impact research addressing one of the urgent challenges in global health—antimicrobial resistance. Collaborate with a multidisciplinary team of microbiologists, bioinformaticians, clinicians, and data scientists. Opportunity to lead high-profile publications and contribute to international consortia. Career development support, including grant writing, conference funding, and training opportunities. 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)

Salary

Competitive

Posted

13 Mar 2026

CUS - Postdoctoral Researcher in Urban Water Management and Hydric Resilience

MOHAMMED VI POLYTECHNIC UNIVERSITY

Mohammed VI Polytechnic University

Morocco

institution

Mohammed VI Polytechnic University

Morocco


Institution Overview Mohammed VI Polytechnic University (UM6P) is a research-driven institution focused on innovation and development in Africa. The university is committed to addressing global challenges by fostering cutting-edge research, developing talent, and establishing strong partnerships. Located in Benguerir’s Green City, UM6P aims to position itself as a leading institution both in Africa and globally, driving sustainable solutions across various fields, including urban resilience and environmental sustainability. Job Description We are seeking a postdoctoral researcher in Urban Water Management and Hydric Resilience, with expertise in designing and implementing innovative solutions for sustainable urban water resource management. The candidate will integrate environmental, social, and economic factors to enhance urban resilience to water-related challenges. Key Responsibilities Develop models to simulate urban water flows, assess climate change impacts, and test innovative solutions such as green infrastructure. Utilize digital tools (GIS, hydrological models) to analyze and visualize urban flood risks, droughts, and water flows. Assess the effects of water management strategies on costs, environmental sustainability, and social benefits, providing tailored recommendations. Collaborate with urban planners, engineers, and policymakers to integrate water management solutions into urban development and sustainability policies. Publish research findings in high-impact journals, present at conferences, and engage in knowledge dissemination to policymakers and communities. Required Qualifications Ph.D. in hydrology, environmental engineering, urban planning, or a related field. Expertise in urban hydrology, water cycles, and stormwater management. Strong background in flood and drought risk assessment in urban environments. Proficiency in hydrological modeling software (SWMM, HEC-RAS, or equivalent). Experience with GIS tools (ArcGIS, QGIS) for spatial analysis and mapping of water flows and risk zones. Experience in climate adaptation simulations applied to water management. Ability to design resilience strategies for sustainable water management in cities. Personal and Organizational Skills Ability to transform complex data into actionable insights for research and decision-making. Strong capacity to work within multidisciplinary teams, including urban planners, technologists, and hydrology experts. Track record of publishing in high-impact journals and presenting research at international conferences. Commitment to research excellence. Interest in addressing African development challenges. Entrepreneurial mindset, dynamism, and strong organizational skills. Fluency in both French and English (written and spoken) is required. We Offer Excellent working conditions with a competitive salary at an international scale. An opportunity to contribute to cutting-edge research in Africa. A dynamic and multicultural work environment with strong collaborative opportunities

Salary

Competitive

Posted

13 Mar 2026

ACER CoE - Postdoctoral Researcher in Chemistry and Chemical Engineering

MOHAMMED VI POLYTECHNIC UNIVERSITY

Mohammed VI Polytechnic University

Morocco

institution

Mohammed VI Polytechnic University

Morocco


Mohammed VI Polytechnic University 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 for the future of Africa. Located in the municipality of Benguerir, in the very heart of the Green City, Mohammed VI Polytechnic University aspires to leave its mark nationally, continentally, and globally. About ACER CoE:  The centre has been recently created to address enduring process challenges in Chemistry and Engineering disciplines and create an environment for interdisciplinary research. The research program of ACER is multidisciplinary, with faculty members from backgrounds in Chemistry, Chemical Engineering, and Environmental Engineering focusing on different research fields such as catalysis, separation, energy generation, conversion and storage, and organic optoelectronics intelligent and advanced polymers and materials. Area of Research:  The incumbent will join the Applied Chemistry and Engineering Research Centre of Excellence (ACER CoE) whose responsibility will be to develop and conduct a research program in the development of materials for hydrogen storage and porous materials as agents for applications pertinent to energy and environmental issues. Hence, the successful candidate should develop a wide range of expertise, mainly, in the areas of Gas/Vapor/Liquid adsorption and membrane applications, Reticular chemistry of materials, Porous adsorbents, X-ray crystallography, Spectroscopy, and Topological analysis of inorganic and organic-inorganic hybrid coordination polymers. Job description: The Applied Chemistry and Engineering Research Centre of Excellence (ACER CoE) at Mohammed VI Polytechnic University (UM6P) invites applications for a postdoctoral fellow position combining skills at the interface between chemistry and chemical engineering under the direction of Prof Youssef Belmabkhout. The successful candidate will develop and conduct applied research programs in chemistry and chemical engineering focusing on designing and development of materials for gas storage applications, gas/vapor/liquid separation purification, sensing and/or waste transformation/energy efficiency. Other duties include advising graduate students and contribution to build up a first-class research-oriented research program at UM6P. The incumbent will be encouraged to collaborate with other researchers in related fields within the centre and within UM6P. The position is open to individuals who hold a Doctoral degree in the subject discipline from a recognized university. The candidate should demonstrate that their PhD work and past experience allow them to have a connection to one or several aspects of the areas of research mentioned above. Very good English communication, both verbal and written, is required. Key duties: Successful candidates are expected to: Conducting scientific research in a team composed of multidisciplinary researchers; Supervise graduate student within ACER CoE; Participate to develop funded research projects and programs in the area in collaboration with multidisciplinary groups in the field; Presenting research results and scientific outcomes to stakeholders and at scientific meetings and conferences; Publish research results in peer-reviewed and high impact international academic journals of the field. Criteria of the candidate:  PhD in chemistry or chemical engineering or other related fields from a recognized University; Demonstrated understanding of research excellence and operational requirements to achieve successful/high-quality research; Publication record in leading international and well ranked journals, preferably on the design and preparation of porous materials for gas/vapor adsorptive and membrane separations; Experience in developing and validating methods, operating and troubleshooting different gas/vapor adsorption/membrane testing instruments; Willingness to learn how to generate new ideas, links, and to build upon existing ideas to generate good concepts and solutions; Ability to co-supervise graduate students; Excellent verbal and written communication skills in English language; Ability to prioritize and manage multiple projects; Enthusiasm towards generating new ideas and passion for solving challenging problems that require complex creative solutions. Skills: The candidate must have demonstrated a research activity in most of the following disciplinary fields: Synthesis of porous materials (such as MOFs, zeolites or other silica-based materials); Experience in characterization of porous materials using various techniques such as BET, TGA-DSC¬MS, PXRD, SXRD, FTIR, NMR, SEM, XPS, etc. and technical skills on the manipulation of most of those instruments; Experience in the use of academic databases (CCDC, RCSR, ...) and softwares (Material Studio, Diamond, Origin, ....); Evidence of experience in adsorptive or/and membrane separation technologies. Applications must be submitted online in a single electronic zipped folder with the mention of the job title ("Postdotoral fellow in Chemistry and Chemical Engineering" The folder must contain: A cover letter indicating the position applied for and the main research interests. A detailed CV. Brief research proposal. The short-listed candidates will be invited to meet the university selection committee and will be asked to provide a list of three references.

Salary

Competitive

Posted

13 Mar 2026

ACER CoE - Postdoctoral Researcher in Membrane Desalination Processes

MOHAMMED VI POLYTECHNIC UNIVERSITY

Mohammed VI Polytechnic University

Morocco

institution

Mohammed VI Polytechnic University

Morocco


Mohammed VI Polytechnic University 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 for the future of Africa. Located in the municipality of Benguerir, in the very heart of the Green City, Mohammed VI Polytechnic University aspires to leave its mark nationally, continentally, and globally. About ACER CoE: The centre has been recently created to address enduring process challenges in Chemistry and Engineering disciplines and create an environment for interdisciplinary research. The research program of ACER is multidisciplinary, with faculty members from backgrounds in Chemistry, Chemical Engineering, and Environmental Engineering focusing on different research fields such as catalysis, separation, energy generation, conversion and storage, and organic optoelectronics intelligent and advanced polymers and materials. About the  project: This project aims to lower energy consumption and increase the water recovery of seawater desalination using the concept of desalination dilution by integrating a hybrid Forward Osmosis (FO) — Reverse Osmosis (RO) system. The work of this project includes lab work, computer modelling, life cycle assessment, and techno-economic study. The project will contribute to protecting water resources, promoting circular economic and zero liquid discharge concepts, and reducing the environmental impact of brine and unwanted water. The successful applicant will join a multidisciplinary research team who are working on a project funded by OCP Group. The successful postdoctoral applicant will manage an exciting project on membrane processes technology and small-scale testing for seawater desalination. He/she should demonstrate experience in membrane processes, water quality analysis, and lab and pilot-scale testing of water treatment and desalination processes. Required qualifications: The successful postdoctoral applicant will manage an exciting project on hybrid FO-RO desalination system and small-scale testing for seawater desalination applications. The candidate should have a PhD in Engineering (including Environmental, Civil or Chemical Engineering), Material Science or any other relevant field. The candidate should have excellent experimental and analytical skills relevant to the project (assessment of membrane processes and water quality analysis) are required. Experience in computational fluid dynamics modelling of water treatment and desalination processes is an advantage. Willingness to work within a multidisciplinary group. Demonstrated skills in scientific writing in the form of research journal articles, conference papers, or high-quality scientific reporting. Innovative, driven, out-of-the-box thinker, well-organized, self-motivated to investigate and implement new ideas, and proactive in overcoming obstacles. Good communication and presentation skills in English. French is an advantage. Skills in problem solving, analytical thinking, and planning. How to apply: Applications should contain a motivation letter and a detailed curriculum vitae with a list of two references and their contact information. The motivation letter and CV should be written in English. The UM6P embraces inclusion and diversity as key values. We are fully committed to removing any descriminatory barrier related to gender, and not only, in the recruitment and career progression of our staff and studenst. UM6P.

Salary

Competitive

Posted

13 Mar 2026

VANGUARD - Postdoc in Network Tensor Completion

MOHAMMED VI POLYTECHNIC UNIVERSITY

Mohammed VI Polytechnic University

Morocco

institution

Mohammed VI Polytechnic University

Morocco


About Mohammed VI Polytechnic University (UM6P): Located at the heart of the Green City of Benguerir, Mohammed VI Polytechnic University (UM6P), a higher education institution with an international standard, was established to serve Morocco and the African continent and to advance applied research and innovation. This unique university, with state-of-the-art infrastructure, has woven an extensive academic and research network, and its recruitment process is seeking outstanding academics and professionals to promote Morocco and Africa’s innovation ecosystem. About the department Vanguard works on the development of innovative and interdisciplinary applied research projects. From technological innovation to the transfer of research to industry, Vanguard has also the mission of developing an ecosystem of related start-ups. For more information about our Center, please visit our webpage: https://vanguard.um6p.ma/ Offer description: There are many systems of interest to scientists that are composed of individual parts or components linked together in some way. Examples include the Internet, a collection of computers linked by data connections, human societies, which are collections of people linked by acquaintance or social interaction, transportation systems and biological interactions. These systems are represented as networks. A network is a set of objects that are connected to each other in some fashion. Mathematically, a network is represented by a graph, which is a collection of nodes that are connected to each other by edges. The nodes represent the objects of the network and the edges represent relationships between objects. A common way to represent a graph is to use the adjacency matrix associated with the graph. However, adjacency matrices only model networks with one kind of objects or relations between the objects. Many real world networks have a multidimensional nature such as networks that contain multiple connections. For instance, transport networks in a country when considering different means of transportation. The train and bus routes are different types of connections and should in some models be represented by different kinds of edges. These kind of situations can be modeled using multilayer networks which emphasize the different kind or levels, known as layers, of connections between the elements of the network and the interactions between these levels as well. In order to capture the structure and complexity of relationships between the nodes of networks with a mul-tidimensional nature, tensors are used to represent these kind of networks. For example, the transport network mentioned earlier would be represented by a 4th order tensor A 2RN_L_N_L  where L is the number of the layers (transportation means) and N is the number of nodes (stations or stops). Using convenient tensor products, the goal is to define measures to analyze different multidimensional networks based on their adjacency tensors. However, collecting all the interactions in the systems and sometimes even observing all the components is a challenging task. In most cases, only a sample of a network is observed. Therefore, network completion needs to be addressed. Matrix completion methods have proved to be efficient when reconstructing a non fully observed data. These methods can be applied to complete or predict links in a network. However, missing information in a network can include both missing edges and nodes which makes classical matrix completion method insufficient. However,we may collect other information and features about the elements of the network. Therefore, side information about the nodes along with the observed edges need to be exploited. The problem of network completion arrises also for applications where the network has a multidimensional representation such as multiplexes and multilayer networks. Since multidimensional networks can be represented by tensors, one can think of applying tensor completion methods which have proved to be efficient in many applications such as image and video reconstruction. However, the same issue arises, tensor completion methods can not be directly applied to recover the links of the network giving the fact that the data is sparse most of the time. We aim to use auxiliary information about the multiplex and multilayer networks alongside with the observed links in order to predict or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor minimization and tensor decompositions paired with auxiliary information in order to recover missing links in a multilayer network with connected components. An important constraint in network completion is that the factorization must only capture the non zero entries of the tensor. The remaining entries are treated as missing values, not actual zeros as is often the case in sparse tensor and matrix operations. Therefore, the next step in this project is to address sparse optimization for tensors. We propose the integration of randomized algorithms into sparse optimization frameworks for the purpose of completing multidimensional networks by studying the theoretical foundations behind randomized algorithms in the context of sparse optimization and applications in real world data sets. We are also interested in exploring opportunities for  parallelism of the completion process, highlighting the potential for significant speedup in computations. Job responsibilities Research and Development: Conduct research to develop novel algorithms and methodologies for tensor completion in multidimensional networks. This includes exploring optimization techniques, tensor decompositions, and incorporating auxiliary information for more accurate completion. Algorithm Design: Design and implement algorithms for tensor completion, considering the unique challenges posed by sparse and multidimensional network data. This involves developing efficient and scalable algorithms that can handle large-scale datasets. Tensor Analysis: Analyze the structure and properties of multidimensional networks represented as tensors. Investigate different measures and metrics for characterizing network connectivity and relationships. Sparse Optimization: Address the challenge of sparse optimization for tensors by integrating randomized algorithms into optimization frameworks. Study the theoretical foundations of randomized algorithms in the context of sparse tensor operations and apply them to real-world datasets. Parallel Computing: Explore opportunities for parallelism in the tensor completion process to enhance computational efficiency. Investigate parallel algorithms and architectures that can exploit the inherent parallelism in tensor operations. Collaboration: Collaborate with interdisciplinary teams including computer scientists, statisticians, and domain experts to apply tensor completion techniques to real-world applications, especially in the case of social sciences. This involves effective communication and coordination to ensure the successful integration of mathematical methods into practical systems. Publication and Dissemination: Publish research findings in top-tier journals and present results at conferences and workshops. Disseminate knowledge and contribute to the academic community by sharing insights and methodologies developed during the course of the project. Mentorship and Training: Provide mentorship and guidance to graduate students and junior researchers involved in related projects. Share expertise and knowledge in applied mathematics, tensor analysis, and network science to foster the professional development of team members. Qualifications and experience essential PhD in Applied Mathematics in the fields of Numerical Linear Algebra, or equivalent. Prior experience on the subject is highly desired.

Salary

Competitive

Posted

13 Mar 2026

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