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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 in order to boost its quality-oriented research environment. UM6P is a very ambitious university, enjoying ample research funding, moderate teaching load, and excellent facilities. In its research approach, the UM6P promotes transdisciplinary, entrepreneurship spirit and collaboration with external institutions, both international ones for developing up to date science, and at continent level to address real African challenges. UM6P offers highly competitive salaries at the international level. Our researchers get incentives through a participation to the intellectual property they develop. About ASARI (UM6P Laâyoune): The African Sustainable Agriculture Research Institute (ASARI) is a component of the Mohammed VI Polytechnic University (UM6P) in Laayoune City, south of Morocco. It constitutes a structure of applied research with a vision of solving real Local, Regional, and African agriculture challenges leveraging up-to-date science and technology. To implement its vision, ASARI puts a lot of emphasis on interdisciplinary research in sectors of strategic interest for the southern regions of Morocco and for the African continent such as:  Plant & animal biotechnology (biosaline agriculture, animal production & nutrition, valorization of native aromatic & medicinal plants and algae, etc.) Sustainable technologies in water, environment, and energy sectors.  Job description: African Sustainable Agriculture Research Institute (ASARI) at Mohammed VI Polytechnic University (UM6P) is seeking applications for one year contract as Postdoctoral in the field of Aquaculture and seaweed monitoring. Candidates should hold a PhD degree with professional experience in Aquaculture research.  Key duties: Successful candidate is expected to: Publishing results in peer-reviewed journals and present at national and international conferences. Assist with grant writing and development of new research directions. Mentor graduate and undergraduate students and support lab and hatchery operations. Assist in organizing and launching research activities. Contribute to general laboratory management and logistics. Document the standard operating procedures. Strong English communication skills, both verbal and written is required. Criteria of the candidate: PhD degree in marine science, aquaculture or similar from a recognized University. Able to carry out field work. Demonstrated ability to work independently and as part of a collaborative research team. Positive working attitude and ability to work both in a team and independently. Strong written and verbal communication skills, with a record of peer-reviewed publications. Proficiency with statistical analysis and data visualization. Application process: Applications should contain the following documents: Curriculum Vitae A letter (maximum 1 page) explaining the motivation for the position Contact information of 3 references (Applicants are assumed to have obtained their references’ consent to be contacted for this matter) Applications are to be submitted on the recruitment platform stating in object “Postdoc in Aquaculture systems and Seaweed Monitoring”.

About Mohammed VI Polytechnic University (UM6P) Mohammed VI Polytechnic University (UM6P) is a leading African institution committed to research and innovation, aiming to establish itself as a world-class university in its areas of expertise. Located in Benguerir, at the heart of the Green City, UM6P actively contributes to economic and human development by placing research and innovation at the forefront of Africa's advancement. The university is dedicated to generating sustainable impact at national, continental, and international levels. About the Center of Expertise for Phosphates (CEPH) The Expertise Center for Phosphates (CEPH) collaborates with industry through a joint program focused on enhancing industrial performance and achieving operational excellence. By leveraging applied research and innovations, CEPH bridges academic expertise with industrial needs to foster progress and efficiency in phosphate-related activities. Position: Postdoctoral Researcher in Nuclear Physics and Applications We are seeking a Postdoctoral Researcher specializing in nuclear physics and its applications, with expertise in radiochemistry applied to the phosphate industry. Key Responsibilities Analysis and Monitoring of Radionuclides and Heavy Metals: Develop and implement nuclear analysis methods to characterize phosphate ores and their by-products. Monitor and control the migration of radionuclides and heavy metals throughout industrial processes. Optimization of Industrial Processes: Utilize nuclear techniques to enhance the efficiency and sustainability of industrial processes. Collaborate with production teams to integrate innovative solutions. Development of Advanced Systems and Methodologies: Design detection and dosimetry systems tailored to the specific needs of the phosphate industry. Innovate analytical methodologies to identify optimization opportunities.  Training and Awareness: Participate in training and raising awareness among industrial teams on radioprotection and nuclear techniques. Supervise students and young researchers. Required Skills Nuclear Instrumentation and Advanced Detection Techniques: Proficiency in detecting ionizing radiation and using Monte Carlo simulation software (MCNP, GEANT4). Knowledge of multi-element analytical techniques (PIXE, XRF, ICP-MS). Valorization of Industrial Waste: Experience in developing processes for treating and valorizing radioactive industrial waste. Cross-Functional Skills: Ability to write technical reports and scientific publications. Experience collaborating with multidisciplinary academic and industrial teams. Project management and team supervision capabilities. Candidate Profile Ph.D. in Physics or equivalent, with a specialization in nuclear physics and detection techniques. Experience in academic and/or industrial projects related to the phosphate industry or similar fields. Strong command of Monte Carlo software and advanced analytical techniques. Scientific publications in specialized journals.  

Position Overview: Mohammed VI Polytechnic University (UM6P) invites applications for a highly qualified Postdoctoral Researcher to join our research initiative focusing on the integration of Artificial Intelligence (AI) in Chemical Process Systems Engineering (CPSE). The position addresses key challenges in process intensification, sustainability, and advanced process control, aiming to develop AI-driven frameworks for multi-scale modeling, multi-objective optimization, and predictive control of complex chemical and biochemical processes. The research will contribute to next-generation smart manufacturing systems, aligned with Industry 4.0 paradigms, and target applications in sustainable energy production, green chemistry, circular economy, and carbon capture, utilization and storage (CCUS). Scientific Challenges Addressed in the Position: Non-linear and dynamic system modeling of chemical processes involving complex thermodynamics and transport phenomena. Optimization under uncertainty and robust decision-making for process design and operational strategies. Integration of first-principles (mechanistic) models with data-driven models (hybrid modeling) for improved accuracy and generalization. Development of real-time optimization algorithms and model predictive control (MPC) strategies for adaptive process management. Addressing data sparsity and data quality issues in industrial process data streams for reliable AI model training. Design of digital twins for process monitoring, fault diagnosis, and predictive maintenance in chemical plants. Key Responsibilities: Create and implement hybrid AI models that merge machine learning techniques with mechanistic frameworks (like physics-informed neural networks and grey-box modeling) to enable predictive simulations of chemical and biochemical processes. Construct multi-objective optimization frameworks (Pareto optimization) to evaluate trade-offs among economic, energy efficiency, and environmental performance metrics. Utilize reinforcement learning (RL) and deep reinforcement learning (DRL) for autonomous process management, dynamic resource distribution, and real-time decision-making. Design and deploy digital twins for integrated chemical processes for virtual commissioning and optimization. Examine extensive heterogeneous data sets (including historical process data, sensor data, and laboratory findings) using advanced AI approaches such as unsupervised learning, transfer learning, and anomaly detection. Collaborate with process engineers and experimentalists to validate models, demonstrate them at pilot scales, and transfer technology to industry partners. Share research results through peer-reviewed publications, conference talks, and patent filings when relevant. Oversee graduate students and support capacity building in AI for CPSE at UM6P. Required Qualifications: Ph.D. in Chemical Engineering, Process Systems Engineering, Artificial Intelligence, Data Science, or a related discipline. Proven experience in process modeling (steady-state and dynamic) using simulation software such as Aspen Plus, gPROMS, or COMSOL Multiphysics. Solid understanding of process control strategies, including model predictive control (MPC), nonlinear control, and optimal control theory. Proficiency in programming languages (Python, MATLAB) and experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn). Experience in data-driven modeling, deep learning, and reinforcement learning algorithms applied to chemical processes. Track record of scientific publications in peer-reviewed journals in AI, chemical engineering, or process systems engineering. Excellent communication skills and ability to collaborate in multidisciplinary and international teams. Application Process: Candidates are invited to submit the following documents (compiled in a single PDF): A cover letter outlining their research vision, motivation, and relevant experiences. A comprehensive Curriculum Vitae (CV) including a list of publications and any patents. Contact details of two academic referees.