Westlake Institute for Advanced Study

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.

Abstract: This research assistant focuses on the design, prototyping, and testing of bio-inspired drones, inspired by the aerodynamics and adaptability of natural flyers such as birds and bats. The candidate will contribute to the mechanical design, composite fabrication, and experimental validation of UAV structures, integrating morphing wings and additive manufacturing processes for high-performance and energy-efficient drones. Keywords: Morphing wings, composites, additive manufacturing, aerodynamics, UAV design. Objectives: The main objective is to support the development and validation of morphing drone prototypes by combining structural optimization, lightweight design, and experimental testing. The research assistant will: Participate in CAD/CAE modeling and structural optimization of UAV frames. Contribute to fabrication using composite and polymer additive manufacturing. Prepare and execute aerodynamic, vibration, and endurance testing campaigns. Assist in assembling and calibrating morphing-wing UAV prototypes. Methodology: Design and Simulation: ABAQUS, SolidWorks, ANSYS, or COMSOL for topology optimization and aerodynamic modeling. Fabrication: Composite layup, 3D printing (FDM/SLA), and assembly of drone airframes. Testing: Wind tunnel, fatigue, and flight tests for mechanical and aerodynamic validation. Data Processing: Documentation, data analysis, and contribution to reports/publications. Expected Outcomes: TRL 5 UAV prototype. 3 Q1 publications and one patent contribution. Workflow for morphing UAV design established at UM6P. Profile of the Research Assistant Candidate & Application Materials Engineering degree (Bac+5) or equivalent in Aerospace, Mechanical, or Mechatronics Engineering. Background in CAD/CAE, structural design, or composite materials. Practical experience in additive manufacturing or mechanical testing is an advantage. Autonomous, organized, and motivated to work within a multidisciplinary team. Application materials: CV, cover letter, and one recommendation letter.

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: The successful candidate will: Undertake original research of international excellence. Prepare papers for publication in leading journals and/or contribute to the dissemination at national/international conferences, workshops and meetings. Communicate to the research projects team the development, progress and results of research activities. Develop collaborative links with the core scientific staff in related program areas to gain exposure and build knowledge on experimental/research activities and approaches, in order to improve conceptual development and implementation. Identify areas of improvement within the research structure using integrated management approaches in pursuit of capacity building/strengthening and the preservation of scientific rigor in research studies. Support if required, the development of proposals for research funding. Develop undergraduate courses, Master courses and modules. Support the appropriate equipment purchasing and ability to deal with international suppliers. Assist to the supervision of Ph.D. students and guide their research work Candidate Profile: Due to the multidisciplinary character of ACER CoE, the ideal candidate must have as well a multidisciplinary scientific profile: PhD degree in Materials Science, Chemistry, Crystallography Knowledge in crystallization technics Expertise in solving crystal structure using single-crystal X-ray diffraction data. Experience in solving crystal structure using powder X-ray diffraction data or electronic diffraction data would be a plus.  Knowledge in advanced structural characterizations will be valued. Excellent communication skills (oral and written) in English. Good publication track record in peer-reviewed journals. Ability to work independently and as part of a multidisciplinary and multicultural team. Excellent networking ability and organizational skills. Experience in co-supervision and coordination of master students. Candidature Submission: Applicants should submit: Cover letter outlining research experience, achievements and stating research interests. Curriculum Vitae. List of publications. Name and contact information of three referees who are not current UM6P faculty. Recommendation letter.