National University Odessa Law Academy
About National University Odessa Law Academy
Basic information and contact details for National University Odessa Law Academy
Impact Rankings
Select the type of ranking below to see stats
Discover similar universities
Find out more about studying, research and jobs at these universities
suggested
Jobs you might be interested in
You may want to explore jobs from other universities which are relevant to you
See all
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
COLCOM - Postdoctoral Researcher in Federated Learning Over Wireless Networks
Mohammed VI Polytechnic University
Morocco
Mohammed VI Polytechnic University
Morocco
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 in order to boost its quality-oriented research environment in the metropolitan area of Marrakech. The School of Computer Science at Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco, is seeking a postdoctoral candidate in the area of federated learning and wireless communications. The candidate must hold (or about to complete) a PhD in the related fields. The candidate will be involved in a two-year research project in collaboration with international academic partners. The main objective of the project is to study the interaction between machine learning and wireless communication fields. The successful candidate will answer questions such as how to assign limited communication resources to train the federated machine learning model efficiently. She/he will investigate realistic scenarios including non-iidness of data distribution, system heterogeneity, and dynamic environments. Key duties: The Postdoctoral Fellow is expected to: Publish in high-impact journals in the field. Supervise graduate and undergraduate students. Criteria of the candidate: PhD in the field of wireless communication, computer science, or any related field. Strong publication record in high-impact conferences/journals. Aptitude for teamwork, problem-solving, and collaborative relationships Strong technical background in at least one of the following areas: Mathematical optimization, Resource allocation, Machine learning, Wireless communication. Good communication skills in oral and written English Employment terms: The successful candidate will be employed by Mohammed VI Polytechnic University (UM6P) based at Benguerir (50 km north of Marrakech), Morocco. Applications and selection procedure: Applications must be sent using a single electronic zipped folder with the mention of the job title in the mail subject. The folder must contain: A 1-page cover letter. A detailed CV. A research statement. A digital copy of the PhD thesis. Contact information for at least two potential academic referees. The earliest available starting date of the candidate. Shortlisted candidates will be invited for an Interview.
Salary
Competitive
Posted
13 Mar 2026
CBS - Postdoctoral Fellowship in Development and Characterization of Organic Membranes
Mohammed VI Polytechnic University
Morocco
Mohammed VI Polytechnic University
Morocco
Postdoctoral Fellowship in Development and Characterization of Organic Membranes for Applications in Electrodialysis and Capacitive Deionization Systems The CBS department of the Mohammed VI Polytechnic University is launching a call for applications for a postdoctoral fellow with expertise in laboratory or pilot scale membrane fabrication and characterization, as well as in the characterization of the physical, chemical, and separation properties of membranes. In-depth knowledge of the properties of materials used in membrane manufacturing, including the selection of appropriate materials based on performance requirements is required. The postdoctoral fellow will join the CBS-IGSAC department where he will be responsible for participating in the conduct of a research program on the valorization of phosphate by-products and its derivatives in order to develop and carry out studies on membrane techniques allowing the separation, concentration, recovery or destruction of certain elements. Thus, the successful candidate will be expected to contribute to the realization of a wide range of scale-up studies of a membrane manufacturing process to validate the selection of the appropriate design to desalinate brackish water and/or seawater. Job description: The position is open to candidates with a PhD or equivalent in a relevant discipline from a recognized university. Candidates must demonstrate that their doctoral work and past experience are related to one or more aspects of membrane manufacturing. Preference will be given to candidates with: Experience in the separation/purification of industrial effluents, particularly with membrane/electromembrane processes, Proven experience in the precipitation of value-added elements through separation methods, Excellent communication skills, both oral and written. Fluency in English is a must. Candidate Criteria: Ph.D. in Materials Engineering, Polymer Chemistry, Chemistry, Electrochemistry, or other related fields from a recognized university. Willingness to learn how to generate new ideas, form new connections, and build on existing ideas to develop effective concepts and solutions. Ability to supervise Ph.D. students. Excellent oral and written communication skills in English. Expected Activities: Conduct scientific research within the project team. Train and supervise Ph.D. students in their second and third years to prepare them for their defense. Conduct electrolysis/electrodialysis and membrane separation experiments. Monitor ongoing experiments and adjust settings as appropriate. Maintain high standards and quality in laboratory operations. Position Requirements: Expertise in materials chemistry and polymers. Competence in materials characterization. Knowledge of polymer membrane preparation and characterization. Understanding of electrochemistry. Expertise in membrane separation techniques. Ability to design and conduct electrolysis and electrodialysis experiments. Strong analytical and problem-solving skills, with an ability to interpret and analyze simulation and/or experimental results. Familiarity with laboratory safety protocols and quality control measures. Capability to work collaboratively within a research team. Application and Selection Process: The application package must include: A cover letter detailing the candidate's motivation for applying to this position. A comprehensive curriculum vitae. Brief research statement. Contact information for three referees. The candidate must be highly motivated and capable of working independently. They should possess knowledge of materials and polymer science, along with experience in the preparation and characterization of polymer membranes. Additionally, familiarity with electrochemistry and membrane separation technology would be advantageous.
Salary
Competitive
Posted
13 Mar 2026
CBS - Post Doctoral Researcher Position in Green Synthesis of Phosphorus Derivatives
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 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, 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 We are seeking a highly motivated and qualified post-doctoral researcher in organic/inorganic chemistry to join our research team for an exciting project focused on the development of novel synthetic methods for the production of phosphorus derivatives. These derivatives play a crucial role in various industrial applications, including fine chemistry, catalysis, agriculture, and life science. For instance, phosphorus-based chemicals are essential in hydrometallurgy, ceramics, and serve as building blocks for RNA and DNA. Additionally, their synthetic analogues are critical clinical drugs for treating a wide range of diseases, including hepatitis C virus and Covid-19. Expertise in coordination chemistry and/or process developement would be a plus for this position. Responsibilities: As a Post-Doctoral Researcher, your responsibilities will include: Green Synthetic Methods: Conducting research to establish innovative and environmentally friendly synthetic methodologies for accessing a diverse range of phosphorus derivatives. This will involve the creation of phosphorus–carbon bonds using techniques such as photochemical reactions, mechanochemistry, multi-component reactions, atoms and steps economy, and both homogeneous and heterogeneous catalysis. Experimental Validation: Designing and performing experiments at both laboratory and pilot scales to validate the feasibility and scalability of the developed synthetic processes for potential industrial applications. Organometallic and Phosphorus Chemistry: Applying your expertise in organometallic and phosphorus chemistry to design and develop synthetic methodologies, analyze chemical structures, and characterize synthesized compounds. Sustainability: Ensuring that all research activities align with green and sustainable principles, with a focus on reducing the environmental impact associated with phosphorus derivative synthesis. Publication and Reporting: Collaborating with the research team to write scientific reports, prepare research publications, and effectively communicate results and data analysis in both French and English. Candidate Criteria Ph.D. in Chemistry, Organic Chemistry, or a related field, accompanied by a distinguished record of research accomplishments. Demonstrated research experience in the area of green chemistry and organic phosphorus derivatives is essential. This may include published papers, conference presentations, or a strong thesis on the topic. Proficiency in organic synthesis techniques and methodologies is crucial, as you'll likely be working on designing and synthesizing novel phosphorus-containing compounds. Proficiency in various analytical techniques such as NMR spectroscopy, mass spectrometry, IR spectroscopy, and HPLC, which are commonly used to characterize organic compounds. Proven excellence in teaching and mentorship, evidenced by innovative pedagogical approaches and contributions to student development. Strong communication and collaboration skills, with a commitment to interdisciplinary research and innovation. Alignment with UM6P's mission of promoting sustainable economic development through research and innovation. 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, Research and teaching plans, entrepreneurial ideas and concepts if any, and services to UM6P community: max 3-4 pages, 3 reference letters. UM6P.
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
Subjects Taught at National University Odessa Law Academy
See below for a range of subjects taught at National University Odessa Law Academy
Arts and Humanities
- History, Philosophy and Theology
- Languages, Literature and Linguistics
Business and Economics
- Accounting and Finance
- Business and Management
Computer Science
- Computer Science
Education Studies
- Education
Engineering
- Electrical and Electronic Engineering
Law
- Law
Psychology
- Psychology
Social Sciences
- Communication and Media Studies
- Politics and International Studies
- Sociology