Guangdong University of Foreign Studies

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.

Area of specialization: Agronomy, Greenhouse gas measurement, Controlled and field experiments monitoring. About UM6P: 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 to boost its quality-oriented research environment in the metropolitan area of Marrakech. About AgroBioSciences (AgBS): The AgroBioSciences (AgBS) program is a component of the Science & Technology pole of Mohammed VI Polytechnic University (UM6P). It constitutes a structure of higher education and practical-based research with a vision of solving real African agriculture challenges by leveraging up-to-date science and technology. The AgroBiosciences Program Research Center leverages up-to-date technologies to address African agriculture challenges. It is a multidisciplinary research center that aims to conduct relevant, cutting-edge research that positively impacts African agriculture. It is based on the collaboration and synergy of several research programs targeting diverse disciplines of research in agriculture, such as Microbiome, Omics, Plant Physiology and Crop Improvement, Plant Pathology, By-products Valorization, Soil Sciences, Agronomy, and Sustainable Farming… Job/Project description: The AgroBioSciences Program (AgBS) at the Mohammed VI Polytechnic University seeks a dynamic and highly motivated individual to join our academic institution as a postdoctoral research staff in “Agronomy (analysis of Fertilizer forms and greenhouse gas measurements”. The successful candidate will contribute to our institution's commitment to excellence in research and innovation in microbiology, mainly focusing on understanding the evolutionary dynamics of microorganisms in response to environmental stressors. Main responsibilities: The selected candidate will be expected to: Contribute to the project to understand the roles of Newly developed fertilizer forms in altering the soil pH and native microbiome and mimicking greenhouse-emitted gases. Implement controlled and field experiments to measure GHG and trade-offs for nutrient efficiency. Mentor master students and PhDs Education, qualifications, and experience Applicants must have an earned doctorate in Agronomy with hands-on GHG measurement techniques. Capabilities to interpret measured data and translate it high quality into manuscripts Demonstrated experience of multidisciplinary research in the above research area. High-quality publications in relevant scientific journals demonstrate a strong record of research accomplishments. Experience in supervising undergraduate/graduate students. Strong communication skills in English and French, both written and verbal, to effectively engage with students, colleagues, and the broader scientific community. Applications and selection procedure: Applications are to be sent on the hiring platform no later than September 20, 2024 The application folder must contain: Cover letter indicating the position applied for and the main research interests. Detailed CV. Statement of research and teaching interests describing the candidates’ experience with the position field. Contact information of 2 references

About the recruiter — UM6P Mohammed VI Polytechnic University (UM6P) is a research-and-innovation focused university in Morocco committed to African development. UM6P’s College of Computing (Benguerir & Rabat campuses) advances world-class research and education in Computer Science, fostering partnerships with industry and local stakeholders. Project summary (one line) Develop farmer-centric systems that fuse multi-modal remote sensing, soil and phenology data to enable crop classification and precise, customized fertilizer recommendations. Selection criteria (short) Required PhD (awarded or defended before start) in Computer Science, Remote-Sensing/Geoinformatics, Agricultural Data Science, or related field. Strong track record in remote-sensing imagery and/or time-series analysis and ML/DL for spatio-temporal data. Advanced Python skills and experience with ML frameworks and geospatial tools (e.g., PyTorch/TensorFlow, rasterio/GDAL). Ability to work independently and produce reproducible research outputs. Good English (written & oral) and willingness to collaborate with agronomists and partners. Preferred Postdoc or ≥2 years research experience after PhD; first-author publications in relevant journals/conferences. Experience with multimodal data fusion (optical/SAR/soil/phenology), satellite platforms (Sentinel/Landsat/GEE), and building reproducible pipelines. Field/ground-truth experience, agronomic knowledge, or fertilizer-recommendation systems. French/Arabic useful for local engagement. Application materials (required) Cover letter (fit with CropID + available start date). CV with links (ORCID, GitHub). Research statement (1–2 pages) with a 12–18 month plan. Up to 3 representative papers and links to code/datasets (if available). 2–3 referee contacts. Selection & timeline (brief) Shortlist based on research fit, technical skills, and interdisciplinarity. Top candidates invited for a technical interview covering past projects, a 6-month plan, reproducibility practices, and farmer-translation. Appointment: fixed-term (24 months), UM6P (Benguerir). References Moreno-Revelo, M.Y., Guachi-Guachi, L., Gomez-Mendoza, J.B., Revelo-Fuelagan, J. & Peluffo-Ordonez, D.H. (2021). Enhanced convolutional-neural-network architecture for crop classification. Applied Sciences, 11(9), 4292. Bhattacharya, S. & Pandey, M. (2024). PCFRIMDS: Smart Next-Generation Approach for Precision Crop and Fertilizer Recommendations Using Integrated Multimodal Data Fusion for Sustainable Agriculture. IEEE Transactions on Consumer Electronics.