Korkyt Ata Kyzylorda University
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VANGUARD - Postdoc in Network Tensor Completion
Mohammed VI Polytechnic University
Morocco
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
ACER CoE - Post-Doctoral Researchers in Decarbonization, Carbon Capture, Utilization
Mohammed VI Polytechnic University
Morocco
Mohammed VI Polytechnic University
Morocco
Post-Doctoral Researchers in Decarbonization, Carbon capture, utilization, and sequestration (11331) 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. Job description: ACER invites applications for open rank positions to work as post-doctoral researchers in Carbon-Negative, Capture, Utilization, and Storage. The research areas that post-doctoral researchers will work on include: Pyrolysis, gasification, hydrothermal carbonation, hydrothermal liquefaction, Fisher-Tropsh, etc. CO2 capture methods CO2 utilization & conversion to high-value chemicals (e.g., electro/photo chemical CO2 reduction, catalytic chemical conversion, biological, etc.) CO2 mineralization in industrial waste Decarbonization in smart building ACER is engaged in pioneering research and development projects to promote innovation in industrial decarbonization pathways. The open rank positions advertised are an excellent opportunity for talented and highly motivated candidates to join a highly-motivated team and contribute to this important and exciting field of research Position Requiremets: The primary roles of the chosen candidates are to contribute to the expansion of research programs concerning Carbon Negative, Capture, Utilization, and Sequestration by demonstrating at least some of the following competencies. Experimental development, testing, and demonstration of novel CCUS technologies. Process simulation, cost, life cycle, and social assessment of CCUS value chains. Reactor design, optimization, and sizing using phenomenological and/or CFD methods. Energy system analysis. Strong analytical and problem-solving skills, with an ability to interpret and analyze simulation and/or experimental results. Ability to work in interdisciplinary teams that involve experimentalists and modelers. Criteria of candidates: PhD in Chemical/Mechanical Engineering, Energy, Applied Chemistry, Applied Mathematics, Physics, or related disciplines, with a focus on reactor and process design and development. Strong motivation and passion for research in the field of CCUS/decarbonization/Carbon management. Proven ability to perform multidisciplinary research and contribute to funded research programs. Proven ability to the planning, sourcing, and development of new initiatives and ongoing research activities. Proven ability to identify and fulfill the academic writing requirements for developing proposals, reports, and scientific publications. Demonstrated understanding of operational requirements for a successful research project and managing time and resources. Good English communication skills, both verbal and written, are important. Ability to work both as part of a team and independently. Application and selection: The application folder must contain: A cover letter specifying the candidate's motivation in relation to this job profile. A detailed curriculum vitae. Brief research statement. Contact information of 3 referees (PhD mentor, postdoctoral mentor if relevant, and a third referee familiar with the applicant’s education, research, and entrepreneurial experience). Applicants are assumed to have obtained their references’ consent to be contacted for this matter. Working conditions: Deadline: The selection process ends once the candidates are selected Start of contract: As soon as possible. Location: UM6P, Benguerir Type of Contract: CDD.
Salary
Competitive
Posted
13 Mar 2026
SUSMAT-RC - Post-Doctoral in Advanced Sustainable Materials for Sensing Applications
Mohammed VI Polytechnic University
Morocco
Mohammed VI Polytechnic University
Morocco
Job description: Sustainable Materials Research Center (SUSMAT-RC) is seeking a highly motivated and talented postdoctoral fellow to join our research team focused on the development of innovative and sustainable sensor systems for industrial applications. This position offers an exciting opportunity to contribute to cutting-edge research in the field of sustainable materials to develop promising solutions that support and promote smart and sustainable practices in industrial processes. The successful candidate will develop innovative and efficient sensing platforms using advanced manufacturing techniques and strategies. The sensor platforms will leverage miniaturized, low-cost, and efficient components, utilizing state-of-the-art manufacturing techniques to enable seamless integration into industrial equipment and infrastructure. Key duties: The successful candidate is expected to: Have strong experience in polymers, molecularly imprinted polymers, and polymer-based nanocomposite synthesis, characterization, and application. Demonstrate knowledge and/or experience in sensor processing including design, fabrication, and characterization. Conduct research to design, develop, and optimize sensors for industrial applications. This includes exploring novel sensing technologies, materials, and data analysis techniques. Conduct rigorous field testing of developed sensors to ensure sensor accuracy, reliability, and robustness. Collaborate with interdisciplinary teams, including engineers, and data scientists, to integrate sensor technologies into comprehensive industrial systems. Maintain detailed records of experimental procedures, results, and observations. Prepare technical reports, research papers, and presentations for conferences and scientific publications. Contribute to the generation of new research ideas, participate in grant writing activities, and seek external funding opportunities to support ongoing research projects. Have a good knowledge of analytical techniques (GC/LC-MS, HPLC, etc), spectroscopic techniques (UV-Vis, FTIR, Raman, NMR, XRD, spectrophotometry, etc), and microscopy techniques (SEM, TEM, AFM, etc) necessary for structural and physical-chemical characterization of polymer and polymer-based nanocomposite. Proven experience and familiarity with electrochemical techniques necessary for preparation, characterization and application of polymer and polymer-based nanocomposite: CV, LSV, DPV, SWV, EIS, etc. Broad experience in surface modification of inorganic or organic substrates. Contribute to the group’s activities in the processing of sustainable materials, (bio)polymer composites and their applications as sensing platforms in related fields. Experience in supervising undergraduate, master's and doctoral students. Criteria of the candidate To be considered for this role, you will ideally have: Ph.D degree in analytical chemistry, polymer science, materials science and engineering or any related field. Strong motivation and passion for research in the field of sensors Strong initiative, self-motivated, and focused on achieving quality outputs. Good time management and task prioritization skills. Strong analytical, problem solving and teamwork skills. Ability to work both as part of a team and to work independently. Excellent oral and written communication skills in English. Application and Selection Application folder must contain: Detailed CV. Motivation letter, emphasizing your specific interest and motivation A brief research statement. Contact information of 2 referees. About Mohammed VI About Mohammed 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 Sustainable Materials Research Center (SusMat - RC): The Sustainable Materials Research Center (SusMat - RC) is a multidisciplinary research center engaged in the development of advanced biobased products and materials thereof using biotechnological, physical and chemical conversion strategies and engineering processes (b) understanding and controlling their underlying specific functionalities and the structure-properties relationship acting over multiple length scales from the molecular, nano to the macro level and their cross-interactions and (c) utilizing the gathered knowledge and the invented materials to address key technological challenges in Morocco and African continent and assist the transition toward a green and circular economy.
Salary
Competitive
Posted
13 Mar 2026
CBS - Postdoctoral in Analytical Chemistry
Mohammed VI Polytechnic University
Morocco
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 the Chemical & Biochemical Sciences Green Process Engineering (CBS) The Chemical & Biochemical Sciences Green Process Engineering Department (CBS) is an entity of the Mohammed VI Polytechnic University (UM6P). The main objective of CBS is to set up a distinctive research-teaching program of international level, in order to meet the research and teaching challenges of UM6P, in particular 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 in order to propose new original alternatives in terms of efficiency, environmental friendliness and sustainability. Job Description CBS is looking for a post-doctoral fellow specializing in analytical chemistry, in particular the evaluation of trace elements in phosphate value chain. In terms of research, the candidate will reinforce the team of the CBS department. His/her experience and expertise should enable him/her to contribute and pursue research activities on industrial subjects relating to chemical phosphate manufacturing processes. The candidate will also participate in the supervision of internships, projects and practical work related to the above-mentioned scientific fields. He/she will play an active role in the life of the program, organizing seminars, workshops and conferences related to the chemical and Process Engineering stream. The candidate will also be expected to participate in UM6P's collective projects and external missions, and to provide support to students (PhD and Master), i.e., supervision for the writing of reports, dissertations and end-of-study papers. Skills Hybrid expertise in the following fields: Analytical chemistry. Chemical engineering. Materials chemistry. Experience in sampling, preparation & sample analysis. Level of experience evidenced by publications in peer-reviewed journals. Fluent in French and English. Experience of working as a member of a multidisciplinary team. Ability to write publications, reports and projects. Oral and written communication skills. Computer skills/programming/modeling would be a plus. Candidate Criteria Ph.D. in Analytical Chemistry or a related field. Extensive experience in sampling, preparation & samples analysis. Ability to assess and analyze trace elements by different techniques. Ability to carry out feasibility, cost, risk and opportunity assessment studies. A proven track record of research publications in reputable peer-reviewed journals. Exceptional communication skills aligned with UM6P's emphasis on knowledge dissemination and impactful outreach. Demonstrate an aptitude for teamwork. Experience in chemical engineering or related fields will be appreciated. Application and Selection The application folder must contain: Detailed CV, Cover letter along with a synthetic presentation of the background, research works, projects and activities, publications, key achievements, 3 reference letters.
Salary
Competitive
Posted
13 Mar 2026
MSN - Postdoc Position on Membranes Development for Hydrogen Production and Utilization
Mohammed VI Polytechnic University
Morocco
Mohammed VI Polytechnic University
Morocco
About UM6P: Located at the heart of the future Green City of Benguerir, MohammedVI 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 MSN department: The Department of Materials Science, Energy, and nano-Engineering (MSN) at Mohammed VI Polytechnic University in Morocco has been in operation for 4 years and during that time expanded quite substantially. The number of employees is around 42, including 13 professors, 24 guest professors, 15 post-Doctoral fellows, 40 PhD students, and 52 Executive Master students. The department is organized in 4 Scientific Areas: Energy (batteries and hydrogen), Polymers and Composite Materials, Surface Science, and Sustainable Materials and Re-cycling. Description of the position and duties: The position is devoted to organic synthesis and studies of ion conducting polymers and polymer-based membranes (anion and cation exchange membranes). These materials will be used in hydrogen fuel cells and for water electrolyzer (alkaline and PEM). The research will focus on developing synthetic strategies and know how to design, to synthesis and functionalize these materials from the molecular level to achieve membranes with high selectivity, conductivity, and stability. The candidate is expected to have an extensive experience in chemistry of polymers and organic synthesis, development of new monomers, ionomers, ionogels, oligomers and polymers along with chemical modification and post- polymerization modification, polymer characterization, preparation of functional membranes, as well as analysis of ion selectivity and conductivity, mechanical and thermal properties with a focus on thermochemical stability and aging, membrane testing to determine IEC, transference number and selectivity, chemical stability and assembling/testing with electrodes. The successful candidate is expected to contribute and establish active research in the field of selective membranes for water electrolysis to produce hydrogen and for fuel cells within the hydrogen group at the MSN department and to participate indifferent activities of the department. The applicant must have a Ph.D. in Chemistry, polymer chemistry. Extensive experience in membrane development, testing and polymer synthesis, functionalization, modification, are mandatory. Knowledge or mastering computational fluid dynamics software and modeling tools to simulate and study fluid flow through porous electrode, membranes, electrode membrane assembly (MEA) for electrolysis and fuel cells will be an asset. Preference will be given to applicants with excellent and relevant R&D along with excellent publication track record. Good communication skills, both verbal and writing are mandatory in English.
Salary
Competitive
Posted
13 Mar 2026
Subjects Taught at Korkyt Ata Kyzylorda University
See below for a range of subjects taught at Korkyt Ata Kyzylorda University
Arts and Humanities
- Archaeology
- Architecture
- Art, Performing Art and Design
- History, Philosophy and Theology
- Languages, Literature and Linguistics
Business and Economics
- Accounting and Finance
- Business and Management
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Computer Science
- Computer Science
Education Studies
- Education
Engineering
- Chemical Engineering
- Civil Engineering
- Electrical and Electronic Engineering
- General Engineering
Law
- Law
Life Sciences
- Agriculture and Forestry
- Biological Sciences
- Sport Science
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Physical Sciences
- Chemistry
- Geology, Environmental, Earth and Marine Sciences
- Mathematics and Statistics
- Physics and Astronomy
Psychology
- Psychology
Social Sciences
- Communication and Media Studies
- Geography
- Sociology