FECAP – Fundação Escola de Comércio Álvares Penteado

The Hong Kong University of Science and Technology (Guangzhou) (HKUST (GZ)) About HKUST (GZ) With innovation in its DNA, The Hong Kong University of Science and Technology (Guangzhou) is a high-level research university featured by cross-disciplinary education. The University strives to become a world-class university with Chinese characteristics. HKUST(GZ) is located in Qingsheng, Nansha, Guangzhou, the geometric center of the Guangdong-Hong Kong-Macao Greater Bay Area in China. Currently, the University’s student body is around 4,000, encompassing both undergraduate and postgraduate students. The University is also a magnet for around 400 accomplished faculty and researchers. The campus development is divided into two phases. Phase-I (636,000 square meters) opened in September 2022, while Phase-II (730,000 square meters) has commenced construction in 2025 and will be delivered in phases starting from 2027. Phase-II will feature more advanced facilities, providing an exceptional environment for research, learning and residential life. HKUST(GZ) introduces a groundbreaking “Hub-Thrust” academic structure, which facilitates cross-disciplinary education. The University currently has four Hubs (Function, Information, Systems and Society) and 16 Thrusts. Here English is the medium of instruction and undergraduate programs are carefully articulated with postgraduate studies. The University boasts cutting-edge research facilities tailored to meet the needs of our investigating scientists in various disciplines. Actively aligning with the Greater Bay Area’s development and national strategic priorities of China, the University cultivates innovative talent, advances cutting-edge technologies, and seeks solutions to humanity’s major challenges.  Under the “Unified HKUST, Complementary Campuses” framework, HKUST(GZ) and HKUST achieve synergistic growth, delivering sustained impetus to the development of the Greater Bay Area, China and the world. Responsibilities Reporting to the President, the Vice-President for Teaching and Learning (VPTL) will provide strategic leadership in advancing future-ready teaching and learning initiatives at the University.  The VPTL will oversee the development and implementation of the UG common core curriculum, fundamental courses, and Redbird MPhil Program, ensuring quality in teaching and learning activities while enhancing students' educational experiences. As a key member of the Senior Management Team, the VPTL will collaborate with the President, other Vice Presidents, Deans, Academic Registrar, and relevant units to establish and implement protocols and policies that ensure the effective delivery of teaching and learning. In alignment with the "Unified HKUST, Complementary Campuses" framework, the VPTL will coordinate teaching and learning activities and academic support with the Clearwater Bay campus.  The VPTL is responsible for the following areas, including but not limited to: Lead the development and execution of the University’s strategies for teaching and learning, fostering a culture of excellence. Provide leadership and management to the College of Education Sciences (CES), College of Future Technology (CFT) and Institute of Education Innovation and Practice (IEIP) in shaping innovative learning and teaching approaches, including strategically leading the Red Bird MPhil Program, promoting and implementing our signature inquiry-based cross-disciplinary active learning model; as well as overseeing curriculum development and quality enhancement, and ensuring relevance to global perspectives and industry needs. Develop and implement strategies to recruit, develop, and retain high-quality faculty members for CES and CFT. Promote the implementation of blended, digital and AI-enhanced education offerings to provide students with flexible and individualized learning options. Cultivate an environment that promotes innovation and excellence in teaching and learning and best practice sharing. Develop a clear framework for managing educational performance to ensure our standards meet those expected of a world-class university.  Lead the formulation of policies concerning teaching and learning.  Facilitate the implementation and optimization of a professional development plan for members engaged in university-wide teaching and related training activities. Integrate and allocate teaching resources by assessing and identifying the resources needed to uphold our mission of teaching and learning. Foster integrity, quality, creativity, communication, and innovation across all teaching and learning related responsibilities. Develop annual budgets and manage financial resources in the supervised areas. Requirements: The VPTL is expected to be an experienced, dedicated, and visionary educator with international background and extensive experience in higher education teaching management and exceptional leadership skills, together with energy, passion, and unwavering commitment to promoting teaching innovation and interdisciplinary education and enhancing the quality of higher education.  The ideal candidate should be able to see the big picture, be knowledgeable about pedagogy, teaching methods, curriculum development, and quality assurance, and be open-minded to technology and innovation, with international and forward-thinking vision, strong drive, and excellent execution skills to develop and implement innovative solutions that promote teaching effectiveness and quality. The ideal candidate should possess a research background to support the integration of academic research and teaching, along with a deep knowledge of education system of both Chinese mainland and Hong Kong, demonstrating outstanding leadership and management abilities in inspiring faculty to pursue excellence in teaching, as well as possessing excellent communication skills to develop partnerships with other higher education institutions, government agencies, and industries. Remuneration and Conditions of Service The post of VPTL is a full-time appointment, normally for an initial term of 4 years, and renewable subject to mutual agreement. Competitive remuneration of international standard and generous fringe benefits, including medical and housing, will be provided. Nomination, Expression of Interest and Applications Nomination, expressions of interest and applications should be directed to Odgers via email at HKUSTGZ-VPTL@odgers.com in confidence. Review of nominations and applications will begin now, and will continue until the post is filled. ODGERS Suite 602, The Chinese Bank Building 61-65 Des Voeux Road Central, Central, Hong Kong

Job description: African Sustainable Agriculture Research Institute (ASARI) at Mohammed VI Polytechnic University (UM6P) is seeking applications for a Postdoctoral researcher in the field of Postdoctoral Researcher in Biodiesel Production from Biomass. Ability to engage professionally with a diverse population of faculty, staff, and students across the university and externally is required. Evidence of research excellence is expected. Strong French and English communication skills, both verbal and written, are required. Key duties: Successful candidate is expected to: Develop and optimize lipid extraction protocols Conduct lipid conversion into biodiesel Analyze lipid profiles and biodiesel quality Conduct mass balance, lipid yield, and biodiesel productivity assessments Publish scientific results in peer-reviewed journals in a timely manner Present research results at national scientific meetings Conduct original research within an international framework Have a creative, open, and resilient mind Criteria of the candidate: PhD degree in Biotechnology, Chemical Engineering, Bioenergy, Environmental Engineering, or related discipline from a recognized University. Strong expertise in lipid extraction and biodiesel production Good written and spoken English as well as presentation skills Excellent interpersonal, and organizational skills with an ability to work efficiently both independently and in a team 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. 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 “Postdoctoral Researcher in Biodiesel Production from Biomass”.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.  The primary responsibility of this role is to support and contribute to an industry innovation research project. The Research Engineer will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI, and research team to ensure timely achievement of project deliverables. Undertake the following specific responsibilities in the project: i. Develop, train, and optimise deep learning models for object detection, classification, and segmentation using real-world datasets. ii. Design and implement software modules to integrate the models into a working system prototype. iii. Perform data annotation. iv. Conduct experiments, analyse results, and iterate models for improved accuracy and efficiency. v. Prepare project documentation, technical reports, and academic publications. vi. Collaborate with industry partners and contribute to technology transfer efforts. Job Requirements 1. Possess strong technical knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow) Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly for developing Windows desktop application software incorporating deep learning models 2. Hold at least a Bachelor’s degree in Computer Science, Electrical/Electronic/Software Engineering, or a related field. A Master’s or PhD degree in relevant areas will be advantageous. 3. Familiarity with the following areas is advantageous: Participation in Kaggle competitions, showcasing practical problem-solving and model development skills Model deployment (e.g., ONNX, TensorRT) Edge computing or embedded vision systems (e.g., NVIDIA Jetson Nano) Real-time processing and GPU acceleration Experience working on industry R&D projects Key Competencies Able to build and maintain strong working relationships with team members, stakeholders, and external partners Self-motivated and committed to continuous learning and improvement Proficient in technical writing & presentation, research reporting, and academic publication Possess strong analytical, problem-solving, and critical thinking skills Demonstrate initiative and ownership in carrying out tasks independently