Tsuru University

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Future ship and system design (FSSD) program develop strategic and innovative design capabilities for maritime industry in Singapore and beyond. The work package WP2.4 in FSSD will conduct research in the areas of autonomous system dynamic modeling, simulation, testing, data and video analytics, machine learning algorithms and platform programing. The testing will be done both in lab, reservoir/sea and onboard ships. The primary responsibility of this role is to work on and deliver the project together with P2-4 team and be part of the research team in the FSSD program. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.  Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Carry out any additional work tasks assigned by the supervisor. To communicate with any relevant internal or external stakeholders to ensure project deliverables are met.  Job Requirements Have relevant competence in the areas of system modeling, simulation testing for both hardware and software. Have a degree in engineering / applied physics, electrical, mechanical, marine, computer engineering or equivalent.  Key Competencies Good knowledge in system modeling, programming, simulations, data analytics. Possess strong analytical and critical thinking skills. Show strong initiative and take ownership of work.

Join a unique British University in China. The University of Nottingham Ningbo China (UNNC) was the first Sino-foreign university to open its doors in China. This award winning campus offering a UK style education has grown to establish a student body of over 10,000 in just 22 years. The University of Nottingham Ningbo, China, a pioneer in Sino-foreign tertiary education, is rapidly expanding. It is looking for ambitious, talented academics with a passion for teaching as well as research flair to join its team of science and engineering experts. UNNC is part of the University of Nottingham’s Global University, and offers unique teaching and research opportunities in a highly dynamic economy. The successful candidate will be expected to contribute to teaching and curriculum development for undergraduate and postgraduate programmes of Civil Engineering, to play a lead role in collaborative research projects and conduct ongoing original research and publications in the area of Construction Management. Candidates must have a PhD degree in Construction Management or closely related field, and excellent communication and presentation skills in English. Knowledge and experience of construction project management are necessary. Experience of supervising PhD and Master students and experience of teaching, tutorial or laboratory work at undergraduate and postgraduate level in an international English speaking institution are preferable. A proven record of research excellence with publications in peer-reviewed journals and in securing research funding, and teaching experience including curriculum development and leadership in academic programmes are also preferable. Salary will be within the range of 450,190 RMB to 592,815 RMB per annum depending on skills and experience. In addition, an attractive package including accommodation allowance, travel allowance and insurance will be provided for international appointments. The post will initially be offered on a fixed term contract with the University of Nottingham, Ningbo, China for a period of 5 years starting October 2026. This contract may be extended by mutual agreement. All applicants are required to formally apply online https://jobs.nottingham.edu.cn/job/184526/ by 23:59 Beijing Time, 30 April 2026, which should include the following: a cover letter an up-to-date CV a publication list A statement of teaching philosophy giving evidence of teaching excellence A research statement indicating your planned research activities as part of our department Informal enquires may be addressed to Dr Yung-Tsang Chen, Department Head of Civil Engineering, email: Yung-Tsang.Chen@nottingham.edu.cn. Please note that applications sent directly to this address will not be accepted. Applications must be submitted on-line. Interviews will take place in Ningbo, China and likely interview dates are around May, but they are subject to change. Please be advised that your referees will be contacted prior to interview. If you are unable to apply on-line please contact Recruitment Team, Email: Job@nottingham.edu.cn. Please quote ref. 184526. For other vacancies and more about working at the University of Nottingham Ningbo, China please see: https://jobs.nottingham.edu.cn/jobs-at-unnc/

About Université Mohammed VI Polytechnique (UM6P):  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 Centre for Urban Systems (CUS): The CUS is a center dedicated to research, education, and innovation in the field of urban sciences. It uses Living Labs as a research and training environment to develop future urban leaders and to identify innovative solutions to complex urban challenges. CUS focuses on four pillars: research, education, expertise, and innovation, all aimed at improving urban management and citizens’ well-being. Job Description The postdoctoral researcher will contribute to the development of Earth Observation and spatial analytics approaches applied to the analysis and monitoring of urban environmental systems. The research will integrate geomatics, remote sensing, environmental geosciences, and artificial intelligence methods to investigate soil conditions, land-use dynamics, environmental processes, and urban ecosystem functioning. This work aligns with the strategy of the Center for Urban Systems (CUS), which aims to promote sustainable, resilient, and data-driven urban development in Morocco and across Africa. The research will support the understanding and management of environmental challenges in urban areas, including land degradation, soil sealing, environmental risks, and the impacts of climate change on urban landscapes.   Main Responsibilities •    Develop Earth Observation based methodologies for monitoring urban environments, including soil conditions, land-use change, and environmental dynamics. •    Design and implement spatial analytics and geospatial modeling approaches to analyze urban environmental processes. •    Apply machine learning and geospatial data analysis techniques to large Earth Observation datasets. •    Produce high-quality scientific publications in peer-reviewed journals and present research results at international conferences. •    Contribute to interdisciplinary research projects within the CUS related to urban sustainability, environmental monitoring, and urban resilience. Key Duties •    Develop spatial analysis tools and geospatial models for monitoring urban environmental indicators. •    Integrate multi-source Earth Observation data (satellite imagery, environmental datasets, geospatial databases) for urban analysis. •    Collaborate with academic partners, public institutions, and urban stakeholders to support sustainable urban planning strategies. •    Contribute to the preparation of research proposals and respond to national and international research funding calls. •    Prepare scientific articles, technical reports, and policy-oriented documents to disseminate research findings. REQUIRED PROFILE •    Ph.D. in Geomatics, Earth Observation, Environmental Geosciences, Geography or a related field. •    Proven experience in remote sensing, spatial analysis, and geospatial modeling applied to environmental or urban systems. •    Strong expertise in geospatial data analysis and machine learning techniques applied to Earth Observation data. •    Proficiency in geospatial software and platforms such as QGIS, ArcGIS, or Google Earth Engine. •    Programming skills in Python or similar scientific computing environments, with experience in geospatial and machine learning libraries. SKILLS AND QUALITIES •    Strong scientific rigor and autonomy in conducting research activities. •    Ability to work in an interdisciplinary and international environment. •    Initiative, scientific creativity, and a strong sense of innovation. •    Ability to work collaboratively and interact with academic and institutional partners. •    Strong commitment to scientific integrity and professional ethics.