Osaka University of Arts

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.

Years of Experience: 0 to 4 years Education Level: Doctoral degree  Type of Contract: 1 year contract (renewable) Number of Positions: 2 Expected Start Date: February 1st, 2026 About the University: 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. About the School The College of Computing (UM6P-CC) is located in the future Green City of Benguerir. It provides world-class university education in computer science promoting discovery and innovation. The College currently offers an engineering degree in computer engineering, and a doctoral program in computer science. About the Group The Data Intelligence Group at UM6P-CC is a growing and supportive team with internationally recognized expertise in data management and machine learning. The group has a strong network of national and international collaborators in both academia and industry. Job Title Postdoctoral Fellow – College of Computing Job Description The Data Intelligence Group at UM6P-CC is seeking two postdoctoral fellows in machine learning who will support the group’s projects in the rapidly growing field of multimodal representation learning and retrieval. The specific responsibilities of the postdoctoral fellow will include: conduct scientific research in the field of machine learning. develop novel machine learning algorithms primarily for representation learning, dimensionality reduction, clustering and search. conduct theoretical and experimental performance analyses of the proposed algorithms. publish research results in high-quality venues (conferences and journals) and present them in national and international scientific events and conferences. contribute to the supervision of undergraduate and graduate students. assist in writing research proposals. contribute to training and teaching activities, including the development of new courses. assist in the organization of workshops, seminars and other national and international events related to machine learning. work effectively with the DMG team and help nurture internal and external collaborations with academic and industrial partners. Qualifications Ph.D. in Computer Science, Applied Mathematics, or a related field. Strong publication record in machine learning, with preference for expertise in representation learning, deep embeddings, contrastive learning, or foundation models. Solid background in linear algebra, probability, and statistics. Strong programming skills with deep learning frameworks (e.g., PyTorch) and standard data analysis tools. Familiarity with data structures, algorithms, and—ideally—search or indexing techniques. Excellent communication skills and strong analytical, teamwork, and organizational abilities. Application: Applications should be submitted online and emailed to karima.echihabi@um6p.ma with the subject "[Postdoctoral Fellow Position]". Ph.D students in their final year of study are also encouraged as long as they expect to obtain their degree by September 2026.  Emailed application materials should contain an up-to-date CV and a zipped archive which includes a cover letter and full transcripts. The CV should clearly indicate the following information: type of high-school degree obtained (e.g., Sciences Mathematiques A), overall high-school average, Mathematics grade in the national exam, and overall average/ranking in university studies. Job Location Benguerir, Morocco

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”.