Elizade University

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Morocco

CRSA - Postdoctoral researcher- Global drivers of key soil characteristics in drylands.

About UM6P
University Mohammed VI Polytechnic 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 CRSA
Center for Remote Sensing Application (CRSA) is a transversal structure across several UM6P Programs. Research within CRSA is organized around several major areas that aim to ensure the challenging Food and Water security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated functioning of continental surfaces and their interaction with climate and humans, with emphasis on sustainable management of natural resources (soil, land, water, agriculture) in the context of Climate Change. One of center’s goals is to provide a set of services and operational products to users (local, national and international) that aid in the decision support of water and food systems.

Job description
Global drylands are rapidly expanding, bringing with them increasing risks of desertification, salinization, and accelerated soil erosion caused by wind and water, which have significant impacts on the carbon and phosphorus cycles. This position focuses on investigating the key drivers influencing topsoil chemical properties in drylands worldwide and analyzing their spatial distribution. The research will utilize innovative remote sensing techniques, advanced modeling frameworks, and cutting-edge datasets to enhance our understanding of the spatial dynamics of these critical chemical properties in global dryland ecosystems.

Key responsibilities


	 Develop innovative modeling frameworks to analyze and understand the drivers and spatial distribution of critical topsoil properties in global drylands
	Process large-scale geospatial and remote sensing datasets using High Performance Computing (HPC) systems.
	Conduct data analysis, and prepare reports, ensuring results are published in high- impact, peer-reviewed journals.
	Actively participate in scientific events, including workshops and conferences, to present findings and engage with the broader research community.


Experience and Qualifications


	PhD in Soil Science, Remote Sensing, Environmental Science or a related field
	Strong experience in Soil sciences (e.g., physics, chemistry, pedology).
	Demonstrated experience in advanced digital soil mapping and remote sensing.
	Experience with handling large geospatial dataset using High performance computing (HPC)
	Advances programming (e.g., Python, R) and GIS tools (e.g., QGIS) experience.
	Excellent communication skills.
	Strong publication record related to current position



Mohammed VI Polytechnic University

CRSA – Postdoctoral in Leveraging AI for enhanced weather and climate prediction in Morocco

About UM6P:
Located in the heart of Benguerir’s future Green City, Mohammed VI Polytechnic University (UM6P) is an internationally oriented higher education institution dedicated to driving development in Morocco and across Africa. UM6P focuses on research and innovation to support education and sustainable development. With state-of-the-art infrastructure, UM6P has built a strong academic and research network and seeks to recruit high-quality professionals to enhance its research- focused environment, based near Marrakech.

About CRSA:
The Center for Remote Sensing Applications (CRSA) is an interdisciplinary research center within UM6P that spans multiple academic programs. CRSA focuses on addressing food and water security challenges in Africa, with a particular emphasis on the use of multi-source remotely sensed data. The center’s research aims to improve the understanding of surface processes and their interactions with climate and human activities, with an emphasis on the sustainable management of natural resources (soil, land, water, and agriculture) in the context of climate change. One of CRSA’s primary objectives is to provide decision- support tools and services to local, national, and international users in water and food systems.

Job Description:
Over the past few years, advances in computational power and the increasing availability of large volumes of remote sensing data with finer spatial and temporal resolutions have significantly transformed the way we approach climate and weather forecasting. These technological advancements have paved the way for innovations, such as the integration of artificial intelligence (AI) into real-time data analysis. This integration can revolutionize the interpretation of remote sensing data, allowing for rapid decision-making in critical situations, such as during natural disasters. AI models can process big datasets efficiently, helping to make informed, unbiased decisions, and ensuring resources are distributed to those most in need. Additionally, when combined with modeling experiments or enhanced research in parameterization, AI is accelerating computational processes, improving prediction accuracy, and enabling the creation of extensive model ensembles at a reduced cost.


In this context, we are looking for a highly motivated postdoctoral researcher to join our team at the CRSA to develop AI models, specifically deep learning approaches, to analyze and predict key climate variables such as precipitation and temperature which are essential for forecasting extreme events. These models will be applied to Morocco’s arid and semi-arid regions, aiming to produce more accurate predictions of droughts and floods. These enhanced climate and weather predictions will contribute to safeguarding food production, ensuring proactive water management strategies, and reducing the health risks associated with extreme weather conditions, particularly in rural areas heavily reliant on agriculture.
 
Key Duties
•    Improve the accuracy of predicting climate variables like precipitation, temperature, and soil moisture by leveraging large multi-source datasets from remote sensing, IoT sensors, and climate models.
•    Design and implement deep learning models for forecasting extreme weather events such as floods, droughts, and heatwaves, integrating probabilistic approaches to account for uncertainties.
•    Use data assimilation techniques to combine observational data with AI models, improving real time forecasting accuracy.
•    Collaborate with hydrologists, climatologists, and data scientists to ensure models are well grounded in scientific understanding.
•    Design and conduct fieldwork to validate model predictions and improve the performance of deep learning approaches.
•    Publish research findings in high-impact scientific journals and present the results at international conferences.
•    Contribute to the supervision of Master’s and Ph.D students.
Qualifications
•    Ph.D. in Artificial Intelligence, Data Science, Climate Science, Geoinformatics, Applied and Computational Mathematics, or related fields.
•    Proven experience in developing deep learning models (e.g., CNNs, RNNs, LSTMs) for large-scale environmental data analysis.
•    Familiarity with theoretical and practical aspects of scientific deep learning;
•    Proficiency in programming languages such as Python and R.
•    Strong experience working with climate and remote sensing datasets for environmental applications.
•    Experience with high-performance computing and analysis of large datasets;
•    A good track record of published research in peer-reviewed scientific journals.
•    Ability to work in an interdisciplinary team and communicate scientific results effectively.
 


Singapore

FACULTY OPENINGS AT THE SINGAPORE INSTITUTE OF TECHNOLOGY

The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society.

The university’s unique pedagogy integrates work and study, embracing authentic learning in a real-world environment through collaborations with key strategic partners. Its focus on applied research with business impact is aimed at helping industry innovate and grow. SIT’s centralised campus within the larger Punggol Digital District will feature a vibrant learning environment where academia and industry will be tightly integrated with the community. SIT espouses an applied learning approach and offers degrees with a strong focus on science and technology. Our faculty work closely with industry on translational research and innovation, as well as provide consultancy on solutions to industry challenges. This well-established nexus with industry endows our graduates with deep skills and work-ready training experience – attuning them to the needs and demands of the future economy.

SIT is also establishing strategic live test beds known as ‘Living Labs’ both within and beyond its upcoming Punggol campus to support greater experiential learning and strengthen its applied research offerings. The university’s pool of Engineering experts works with multi-disciplinary teams to drive strategic translational research in key areas such as energy resilience, sustainable infrastructure engineering and maintenance, and maritime engineering.

As a young university, we encourage innovation and seek the right candidates to join us in realising our vision into an increasingly vibrant reality. We offer competitive remuneration, generous employment benefits, access to funding to undertake research of relevance to industry, and opportunities to inspire and nurture the next generation of skilled and work-ready undergraduates.

For this faculty position, we are looking for candidates with an engineering background, who have extensive experience in the area of digital supply chain.

Essential


	Academic and/or industrial experience in design and managing digital supply chain solutioning and supply chain management.
	Having a background and interest in one or more fields of digital supply chain, including but not limited to digital supply chain transformation, digital manufacturing, E-procurement, E-commerce, E-logistics.
	Experience and knowledgeable in one or more areas of supply chain operations management, risk management and operations research, such as demand forecasting, inventory control, procurement, manufacturing, distribution, warehouse and transportation simulation, optimization and management.
	Motivated to develop and to teach curriculum in supply chain sustainability.
	Strong demonstration of interest to develop supply chain security, supply chain digital twin, and artificial intelligence solutions through applied research projects.


Desirable


	Good knowledge in digital supply chain-related technologies such as AI, LLMs, Cyber Security, IoT, 3D printing, automation, supply chain security, digital twins, and block chains.
	Hands on experience in commercial digital supply chain solutioning projects with both hardware and software elements.
	Experience in digital supply chain related projects with strong integration of the three pillars, i.e., Digitalization, Resilience and Agility, and Green Supply Chain.
	Preferred to having a PhD in a related technical area.
	Led or involved in strong industry - academia partnership projects.


Successful candidates will join the Engineering (ENG) Cluster (one of five academic clusters in SIT), as members of a team of accomplished experts who are passionate about higher education and deeply involved in industry transformation through applied research programmes.

Applications will be accepted until the positions are filled. All applications must be submitted electronically via SIT Career Website.


Singapore Institute of Technology (SIT)

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 researcher will be part of the team of the MCCS NATURE Project (https://www.nparks.gov.sg/Cuge/Programmes-Schemes/Research%20Programmes/MCCS%20Programme). The primary role involves developing and validating CFD models to study wave attenuation by mangroves, seagrass, and coral. Responsibilities include calibrating simulations with experimental data, analyzing shear coefficients and drag forces, and contributing to interdisciplinary research on coastal protection, with an emphasis on delivering accurate and impactful modeling insights.

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.
	Undertake these responsibilities in the project:


1. Wave Stochastic Analysis and Hydrodynamics


	Conduct advanced stochastic analysis of wave environments to evaluate the performance of floating structures. Analyze hydrodynamic behavior of floating breakwaters under varied sea conditions.


2. CFD and Finite Element Modeling


	Perform Computational Fluid Dynamics (CFD) simulations to optimize the design and performance of floating breakwaters.
	Develop finite element models for stability assessment, structural integrity, and dynamic response of floating systems.


3. Connector Design


	Design and analyze mechanical connectors for the integration of multi-purpose floating breakwater systems, ensuring structural stability and durability.


4. Design and Integration


	Develop innovative designs for floating breakwaters that integrate wave energy converters (WECs), tidal energy systems, and solar energy platforms.
	Optimize design configurations to maximize energy harnessing and wave attenuation.


5. Experimental Testing


	Plan and conduct physical model tests in wave flumes or basins to validate computational models.
	Analyze experimental data to improve and validate the floating breakwater design.


6. Research Documentation and Dissemination:


	Prepare technical reports, research papers, and presentations to disseminate findings to academic and industry stakeholders.
	Contribute to project proposals and progress updates for funding agencies.
	Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.


7. Project Management Support:


	Ensure timely execution of project milestones
	Coordinate with external collaborators and manage data-sharing protocols.
	Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.


Job Requirements


	PhD/Master’s in Naval Architecture, Ocean Engineering, Civil Engineering, or related field.
	Proficiency in hydrodynamic modeling tools (e.g., ANSYS AQWA, OrcaFlex) and finite element analysis software (e.g., Abaqus, ANSYS).
	Experience with stability and mooring system design.
	Strong analytical skills and familiarity with data collection instruments and techniques.
	Excellent communication and report-writing abilities.
	Good understanding of industry standard will be an advantage
	Ability to work independently and in teams in both lab and field environments.
	Excellent communication (verbal and written) and teamwork abilities


Key Competencies


	Able to build and maintain strong working relationships with people within and external to the university.
	Self-directed learner who believes in continuous learning and development
	Proficient in technical writing and presentation
	Possess strong analytical and critical thinking skills
	Show strong initiative and take ownership of work



Hong Kong

The Chinese University of Hong Kong

Applications are invited for:-

Department of Educational Psychology

Professor / Associate Professor / Assistant Professor in Educational Psychology 

(Ref: 2400034A)

The Faculty of Education of The Chinese University of Hong Kong (http://www.fed.cuhk.edu.hk/) has a longstanding legacy in teacher training and is known for its world-class research excellence. The Department of Educational Psychology under the Faculty of Education (http://www.fed.cuhk.edu.hk/eps/) now invites applications for the position of Professor/ Associate Professor/ Assistant Professor in Educational Psychology. We are especially interested in those with expertise in one or more areas below:


	School psychology
	Special educational needs
	Educational neuroscience
	Artificial Intelligence (AI) and human-technology interface


Applicants should have (i) excellent academic qualifications including a doctorate degree in educational psychology or related disciplines; (ii) a solid research background in areas that will contribute or add to the existing strengths of the Department; (iii) a strong track record of programmatic research and publications as well as proven ability to obtain research grants; and (iv) strong commitment to excellence in teaching and scholarship.

The appointee will (a) develop and teach courses at postgraduate and undergraduate levels, (b) supervise taught and research postgraduate students, (c) bid for external competitive grants, and (d) assist in administrative matters. Scholars with demonstrated academic leadership, research excellence, a track record of extramural competitive funding and substantial experience in postgraduate students’ supervision are particularly encouraged to apply.

Appointment will normally be made on contract basis for up to three years initially commencing from August 2025, which, subject to mutual agreement, may lead to longer-term appointment or substantiation (that is, tenure) later. For candidate with outstanding research/ scholarship credentials and very good teaching/ service records, substantiation may be considered at initial appointment. Salary will be highly competitive, and commensurate with qualifications and experience.

Review of applications will begin in February 2025 and will continue until the position is filled.

Application Procedure

Applicants should submit an online application and upload a cover letter, a full curriculum vitae, a research statement, a teaching statement, and provide names and e-mail addresses of at least three referees for providing reference.

The University only accepts and considers applications submitted online for the post above. For more information and to apply online, please visit http://career.cuhk.edu.hk.


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