Kyorin University

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. Position Announcement - Mohammed VI Polytechnic University (UM6P), AgroBioSciences (AgBS) Job Title: Post-Doctoral in Modeling and Crop Yield Prediction in Africa Area of specialization: Agronomy, Modeling, biostatistics, Job/Project description: The AgroBioSciences Program (AgBS) at the Mohammed VI Polytechnic University is seeking a post-doctoral fellow in Modeling and Crop Yield Prediction in Africa. The candidate will have the objective of developing models for estimating and predicting the yields of targeted crops in Africa. Main responsibilities: The selected candidate will be expected to: Collect the data regarding the production of targeted crops in Africa, work with the project team and valorize data as review publications. Develop and implement simulation models to predict yields from secondary data sources and established on-farm trials in Africa. Conduct spatial analysis to predict yield at scales. Contribute to the overarching goals of the research project team. Supervise master and doctoral student. Publish results in high impact factor journals. Education, qualifications, and experience Ph.D. in, Agronomy, modeling, biostatistics, or related field The applicant should have documented knowledges in Geospatial analysis, machine learning, and predictive modelling, Have a good command of programming tools such as R packages, Phyton, and other programming languages Publications in the field Excellent communication and interpersonal skills. High motivation and interest in scientific work Applications and selection procedure: Application folder must contain: Cover letter indicating the position applied for and the main research interests. Detailed CV. Brief research statement. Contact information of 2 references Further inquiries should be addressed to Pr. Jemo Martin (martin.Jemo@um6p.ma) UM6P.

Abstract: This position focuses on the development of intelligent and autonomous drone systems, integrating AI, edge computing, and digital twin technologies for mission autonomy and predictive analytics. The research assistant will develop real-time flight control algorithms, AI- based data processing, and mission management platforms, contributing to the deployment of smart UAV demonstrators under industrial conditions. Keywords: Artificial intelligence, autonomy, digital twin, edge computing, UAV systems. Objectives: Support the development of AI and machine learning algorithms for autonomous navigation. Assist in building digital twin models to monitor drone health and mission performance. Contribute to IoT integration and real-time data acquisition systems. Participate in testing and deployment of UAV demonstrators at UM6P and OCP sites. Methodology: AI Development: Reinforcement learning, computer vision, and sensor fusion for autonomy. Digital Twin & Edge Computing: Implement real-time synchronization and analytics. IoT Integration: Design and manage data acquisition from sensors and UAVs via embedded systems. Validation: Participate in field trials for performance and reliability testing. Expected Outcomes: Contribution to AI-enabled UAV demonstrator (TRL 6). Support in the deployment of a digital mission platform. Participation in academic or industrial publications and reports. Profile of the Research Assistant Candidate & Application Materials: Engineering degree or equivalent in Computer Science, Robotics, or Electrical Engineering. Solid knowledge of AI/ML, embedded systems, and IoT architecture. Programming skills in Python, ROS, TensorFlow, or MATLAB. Strong interest in applied AI and autonomous systems development. Application materials: CV, cover letter, and one recommendation letter.

UM6P - ASARI, Laayoune ABOUT UM6P Mohammed VI Polytechnic University (UM6P) is a world-class institution that seeks to foster the development of skilled manpower and natural resources in Morocco and Africa. UM6P has robust teaching and research programs with a base of cutting-edge research facilities and has accomplished researchers who work in partnership with research institutions and stakeholders to develop innovative solutions to local and international challenges. Currently, UM6P is developing innovative tools to solve the eminent challenges related to livestock production, including challenges related to feed scarcity, stress, and environmental footprint. For this purpose, the UM6P trains highly skilled professionals in a pool of doctoral and postdoctoral fellows to provide specialized solutions to optimize production and preserve the environment. ABOUT ASARI The African Sustainable Agriculture Research Institute (ASARI) is a component of the Mohammed VI Polytechnic University (UM6P). It is located in Laayoune City and constitutes a structure of practical-based research with a vision of solving local, regional, and African agriculture challenges by leveraging up-to-date science and technology. Oriented towards Africa, ASARI acts in connection with a wide network of universities and research centers around the continent to link real field issues with up-to-date science. The institute consists of a multidisciplinary team of agronomists, biochemists, molecular biologists, bioprocess specialists, animal scientists, etc., to respond to regional challenges affecting marginal environments. JOB SUMMARY ASARI is seeking a highly motivated postdoctoral researcher holding a PhD in Zootechny, Animal Nutrition or Pastoralism to join its Animal Sciences team and contribute to the development and implementation of research projects focusing on small ruminants (particularly goats) and large livestock species (camels). The successful candidate will be involved in conducting applied and fundamental research, preparing competitive research proposals, and authoring technical reports and peer-reviewed scientific publications addressing key challenges in agricultural and livestock production systems. This position will involve research activities in animal production, including animal nutrition, forage crop valorization, feed and diet formulation, and rangeland management. Where appropriate, the candidate will design and conduct field surveys, collect and analyze data, and engage directly with farming communities. The postdoctoral researcher is expected to actively contribute to ongoing projects at UM6P Laayoune within the African Sustainable Agriculture Research Institute (ASARI). Fieldwork will be an integral component of the position, with particular emphasis on working with farmers, to ensure that research outputs have practical and socioeconomic impacts. QUALIFICATIONS AND EXPERIENCE Ph.D. in zootechny or animal production Field based livestock research experience Expertise in one of the following areas (please indicate in covering letter) Feed formulation Alternative feed resources Forage analyses Camel production Dairy management Milk and meat analyses Livestock systems Experience in working as a member of a multi-disciplinary team Ability to initiate, conduct, and publish research in high impactful journals and to obtain external grant funding Working knowledge of statistics and database management including meta-analyses and modelling. Supervisory experience Well-developed oral and written communication skills especially with different stakeholders such as farmers Fluency in written and spoken English. French and Arabic will be a plus JOB RESPONSABILITIES Set up dashboards and monitoring indicators for animal production including camels and goats Support the production and management team in animal feeding and health monitoring Conduct forage analyses and formulate feed rations Conduct livestock feeding trials and monitor the nutritional status of the animals. Develop new animal feed from new and alternative feed resources. Assist in developing training programs and modules. Develop and deliver training modules to farmers, cooperatives, extension agents, etc. Data scheduling, collection, analysis, interpretation, and presentation. Co-supervise PhD and Master students as well as interns Project management including budget, materials, equipment, and staff Research proposal writing for external funding Report writing for research project Manuscript writing and publication in referee journal APPLICATION PROCEDURE Applications must be sent using a single electronic zipped folder with mention of the job title. The folder must contain the following: A detailed CV A synthetic presentation of the background, research works, projects and activities, publications, key achievements A research and teaching plan, entrepreneurial ideas and concepts, and services for UM6Pcommunity: max 3-4 pages 3 references letters