Ankara University

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.

Position Description: We are seeking a postdoctoral researcher specializing in urban modeling and cost analysis to develop an innovative model to estimate the direct and indirect costs of urbanization based on urban morphology (compact or sprawling). The candidate will analyze real case studies, integrate variables related to infrastructure, health, and the environment, and simulate scenarios under different climatic and social contexts to provide decision-making tools for sustainable urban planning. Main Tasks and Responsibilities: Develop a predictive model integrating the direct and indirect costs of urbanization. Calibrate this model using real data from specific case studies. Simulate urbanization costs based on various climatic, morphological, and social scenarios. Formulate innovative methodological approaches. Produce publications on research in scientific journals. Participate in teaching activities. Develop new research proposals. Required Qualifications: Ph.D. in Data Science, Urban Planning, Urban Economics, or a related field. Experience in research projects applied to urban, environmental, or socio-economic issues. Proficiency in urban modeling tools such as MATLAB, Python (especially libraries like Pandas, NumPy, SciPy, GeoPandas, etc.), and R. Advanced skills in predictive modeling and machine learning, particularly for multi-variable simulations. Knowledge of complex systems modeling applied to urban dynamics. Publications in scientific journals. Personal and Organizational Qualifications: Ability to develop innovative methods. Ambition for research excellence. Interest in African issues. Entrepreneurial mindset, dynamism, and organizational skills. Fluency in both French and English (oral and written) is required. We Offer: Excellent working conditions and competitive salary on an international scale. An opportunity to contribute to the development of research excellence in Africa. A highly stimulating multicultural working environment and a great team atmosphere.

Job Offer: Postdoctoral Researcher Development and Implementation of an Integrated and Sustainable Architecture: Application to the Jorf Lasfar Supply Chain Mohammed VI Polytechnic University (https://www.um6p.ma/en) 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. Thanks to its prestigious architectural landscape and modern equipment, the University offers premium conditions for a desirable lifestyle, only 70 km away from Marrakech. Department: Green Tech Institute (GTI) Position Identification Job Title: Logistics Optimization and Environmental Resilience & Sustainability Integration Officer – JORF-Lasfar Entities: GTI-UM6P / SBU Manufacturing – JORF-Lasfar Work Location: GTI-UM6P and JORF-Lasfar site Contract Type: Postdoctoral Position Main Mission The position holder will be responsible for designing and implementing an optimized, resilient, and sustainable logistics architecture for the JORF-Lasfar site. His/her work will focus on improving routing, storage, and loading flows, aiming to reduce costs, enhance efficiency, and integrate innovative solutions. By leveraging advanced optimization tools and engineering methodologies, He/she will ensure the resilience of the supply chain against disruptions while minimizing its energy consumption and carbon footprint. Activities and Responsibilities Optimization and Improvement of Logistics Processes Analyze routing, storage, and loading flows. Identify optimization levers to reduce costs and lead times. Develop strategies and risk management models to enhance the system’s resilience against logistical disruptions. Implement energy management approaches and CO₂ emissions reduction strategies within the supply chain. Design and implementation of an integrated and sustainable logistics architecture. Monitor technological and methodological innovations in the industry. Promote research and development findings through publications in high-impact Q1 scientific journals and indexed conferences. Digitalization and Integration of Optimization Tools: Integrate the developed architecture into the JORF-Lasfar ERP system. Collaboration and Coordination: Work closely with the SBU Manufacturing team at JORF-Lasfar and the GTI-UM6P team. Participate in continuous improvement projects, optimization initiatives, and the integration of innovations. Required Skills Technical and Professional Skills: Excellent mastery of logistics processes and supply chain management. Expertise in flow optimization and logistics management. Data analysis and project management skills. Strong understanding of optimization concepts and profitability. In-depth knowledge of environmental sustainability standards. Experience with data prediction and classification techniques. Computer Skills: Good proficiency with optimization tools (CPLEX, SAP). Experience with data analysis software. Soft Skills:  Analytical mindset and attention to detail. Ability to manage priorities and work under pressure. Excellent communication skills and team collaboration. Proactive attitude and innovative thinking. Qualifications PhD in Industrial Engineering, Logistics, or a related field. Experience in a similar role is appreciated. Familiarity with methodologies such as Systems Engineering and SCRUM. Professional proficiency in English is required. This position is aimed at a meticulous and innovative profile, capable of balancing logistical performance with environmental commitment.