National University of Science and Technology, Oman

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Singapore

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 NAMIC Project for 3DP Modular Floater. The Research Engineer will play a critical role in the development, validation, and optimization of 3D-printed modular floating structures. This includes conducting hydrodynamic analysis, finite element modeling, and stability assessments, as well as overseeing site-based test bedding, data collection, and reporting. The role also involves designing and validating connectors for the modular system to ensure mechanical integrity and adaptability.

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. Hydrodynamic Analysis:


	Conduct simulations to analyze wave interactions, buoyancy, and stability of modular floating structures.
	Optimize designs for dynamic environmental conditions (e.g., waves, tides, currents).


2. Finite Element and Structural Modeling:


	Develop and implement finite element models to evaluate structural integrity under load conditions.
	Perform stress, strain, and fatigue analysis for modular components and connectors.


3. Stability Modeling:


	Analyze stability characteristics of modular floating units under static and dynamic conditions.
	Collaborate with teams to develop safe and efficient modular layouts.


4. Design and Development of Connectors:


	Design robust, durable connectors for modular systems to ensure seamless assembly and operational reliability.
	Validate connector performance through simulations and physical testing.


5. Site Test Bedding and Validation:


	Oversee the deployment and testing of modular systems at designated sites.
	Ensure proper instrumentation setup for data collection and monitoring.


6. Data Collection and Analysis:


	Gather experimental data during site trials, including hydrodynamic, structural, and environmental parameters.
	Analyze data to validate models and identify areas for design improvement.


7. Reporting and Documentation:


	Prepare detailed technical reports on findings, including recommendations for system enhancements.
	Present outcomes and progress updates to stakeholders and collaborators.


8. Collaboration and Communication:


	Work closely with multidisciplinary teams, including material scientists, engineers, and field technicians.
	Liaise with external partners and vendors for test site setup and equipment.


9. Compliance and Safety:


	Ensure compliance with regulatory requirements and industry standards for floating structures.
	Maintain high safety standards during field operations and laboratory testing.


10. 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.


11. 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


	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.
	Experience in designing connectors or mechanical interfaces is a plus.
	Familiarity with 3D printing technologies and materials is advantageous.
	Strong analytical skills and familiarity with data collection instruments and techniques.
	Excellent communication and report-writing abilities.
	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



Singapore Institute of Technology (SIT)

United Kingdom, Bedford

Faculty or Department: Research and Innovation
Based at: Cranfield Campus, Cranfield, Bedfordshire
Hours of work: 37 hours per week, normally worked Monday to Friday. Flexible working will be considered.
Contract type: Fixed term contract
Fixed Term Period: For 3 years
Salary: Full time starting salary is normally in the range of ?48,039 to ?57,797 per annum
Apply by: 12/01/2025

Role Description

We welcome applications from passionate, skilled and committed individuals to join this exciting, collaborative project and help foster effective climate tech ecosystems across the UK to accelerate the commercialisation and uptake of climate-positive solutions.

About the Role

The post holder has an exciting opportunity to manage the operational and administrative delivery of Cranfield-related innovation scale-up programmes within the University’s Innovation Ecosystem. This will include the multi-regional, cross-institutional Research England Development funded Climate Scaling Collaborative (CSC) involving 5 universities (led by Imperial College London); a programme that aims to transform innovative UK-based climate startups into world-leading scale-ups.

The Hub Manager will be the first point of contact for relevant programme delivery partners whilst undertaking day-to-day operations, programme governance, partner coordination, engagement and communication with external stakeholders, delivery of internal and external reports, alongside overseeing budgets, organising meetings and delivering events. They will work closely with the Head of Knowledge Exchange, Innovation and Ecosystem Manager and Technology and Manufacturing Navigation Manager on strategy, planning and delivery of the scale-up programmes and Innovation Ecosystem activities.

About You

You will be educated to degree level in a subject related to Cranfield’s core themes, or have equivalent experience, and have demonstrable experience with research commercialisation or support for technical innovation, as well as proven ability in successful project management and in effective communication with diverse teams.

About Us

As a specialist postgraduate university, Cranfield’s world-class expertise, large-scale facilities and unrivalled industry partnerships are creating leaders in technology and management globally. Learn more about Cranfield and our unique impact?here.

The Research and Innovation Office (RIO) supports researchers in working together to achieve excellence and impact in delivering the University’s vision for research and innovation, and reports to the Pro-Vice-Chancellor, Research and Innovation.

Our Values and Commitments

Our shared, stated values help to define who we are and underpin everything we do: Ambition; Impact; Respect; and Community. Find out more?here.

We aim to create and maintain a culture in which everyone can work and study together and realise their full potential. We are a Disability Confident Employer and proud members of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30 family friendly employers in the UK by the charity?Working Families. Find out more about our key commitments to Equality, Diversity and Inclusion and Flexible Working?here.

Working Arrangements

Collaborating and connecting are integral to so much of what we do. Our Working Arrangements Framework provides many staff with the opportunity to flexibly combine on-site and remote working, where job roles allow, balancing the needs of our community of staff, students, clients and partners.

How to apply

For an informal discussion about this opportunity, please contact Juliet Kauffmann, Innovation and Enterprise Manager on (E):?j.kauffmann@cranfield.ac.uk

Please do not hesitate to contact us for further details on E:?peoplerecruitment@cranfield.ac.uk. Please quote reference number 4992.

Closing date for receipt of applications: 12 January 2025


Cranfield University

Czech Republic, Brno

Department:?Multimodal and Functional Imaging Laboratory?–?Central European Institute of Technology
Deadline:?20 Jan 2025
Start date:?1st February 2025
Job type:?part-time
Job field:?Science and research

Central European Institute of Technology of Masaryk University (CEITEC MU)

Brno, Czech Republic |?www.ceitec.eu

We are the Czech Republic’s flagship basic research institute based at Masaryk University. Our modern in-house core facilities, which provide open access to the latest technologies and expertise, currently support more than 500 researchers from over 35 countries, who are together pushing the boundaries of knowledge in the areas of structural biology, molecular medicine, genomics and proteomics of plant systems, and neuroscience.

CEITEC MU?is a?proud holder of the European Commission’s?HR Excellence in Research Award. We were the first research institution in the Czech Republic to secure one of the top places in the?Company of the Year: Equal Opportunities 2020?competition.

See what onboarding at CEITEC MU looks like?here.

About the position:

The researcher will participate in research activities of the project “Mediated society”, reg. no. CZ.02.01.01/00/23_025/0008713, in Programme Johannes Amos Comenius (Czech Republic -?The Ministry of Education, Youth and Sports, co-funded by the European Union), focuses on exploring the impact of artificial intelligence on society and sees artificial intelligence as both a?tool to expand human capabilities and a?challenge related to the widening digital divide, the proliferation of conspiracies and deepfakes, and the lack of AI literacy. Project is focused on understanding of processes related to the process of working with information at the individual, social and societal level through the perspective of selected social sciences and humanities disciplines (psychology, political science, theology, pedagogy) and in close collaboration with computer sciences.

The candidate will participate in the activities of Research Plan 4: Psychometric models as a?means of understanding mental processes and states. As a?Research Assistant (Ph.D. student), the fellow will participate in the preprocessing and basic analyses of neuroimaging data in CF MAFIL. The researcher will be employed at CEITEC MU.

You have (necessary competencies):

The successful candidate should:


	be a?graduate with at least an MSc degree or its equivalent in the field of biomedical engineering or a?related technical field
	be a?PhD student in the field of neuroscience or biomedical engineering and a?related field
	have an orientation to the issue under study,
	be able to collaborate on scientific, research, and development tasks in a?research team,
	be able to formulate research results clearly,
	be able to present research results
	have experience in conference presentations (advantage),


We are offering:


	interesting job in a?dynamically expanding research area and internationalized environment
	diverse and challenging research goals with generous research funds
	interaction with leading scientists and institutions in the field
	Medical insurance
	6 weeks of paid holiday
	Contribution to a?pension scheme
	Flat-rate meal contributions
	A multisport card and sports lessons directly at the Campus
	Reduced prices for mobile operator tariffs
	Psychological counseling


What else do you need to know:

Application deadline: 20.1.2025

Interviews: January 2025

Expected start date: 1st February 2025

Hours: part-time (8 hours/week)/part-time

Duration: fixed term

Applications, including?a CV, a?brief motivation letter, and contacts for at least two references,?should be sent via e-application below.

In the case of any difficulties filling out the e-application, please get in touch with klara.pavelkova@ceitec.muni.cz

Selection procedure committee members are the head of the research group, a?research group representative, and an HR department representative.

In justified cases, the job announcer can extend, interrupt, or cancel the selection procedure.

Still hesitating whether to join us?

We value and have supported our employees since their first day at CEITEC. We are an inclusive, equal opportunity employer and offer a?highly collaborative, collegial, and family-friendly, international working environment with relocation assistance through our Welcome Office. The selected candidate will become a?part of the CEITEC scientific community with access to in-house core facilities and professional administrative support. You will become part of an international team of experts in their fields, who together contribute to improving human life and health.?Have a?look at what your potential peers say about working at CEITEC MU.

For more information about the recruitment process, refer to?CEITEC MU Recruitment Policy.?

For more information about our career system, refer to?CEITEC MU Career System


Masaryk University

Morocco

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.
?


Mohammed VI Polytechnic University

CRSA - Postdoctoral position on high- resolution root zone soil moisture estimation by assimilation of microwave-derived surface soil moisture

About UM6P:

Located at the heart of the future Green City of Benguerir, Mohammed VI Polytechnic University (UM6P), a higher education institution with international standards, is established to contribute to the development of 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 CRSA:

CRSA is a transversal structure across several UM6P Programs. Research within the center 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:

Root zone soil moisture is an essential climate variable (ECV) that is crucial for characterizing the Earth’s climate. It is a key variable in hydrology, meteorology and agronomy, regulating the exchange of water, energy and carbon between the land surface and the atmosphere. For agriculture, soil moisture in the root zone controls vegetation health, development, transpiration, biomass production and nutrient absorption. In particular, its estimation is essential for monitoring the vegetation's health and water status, and thus making decisions on irrigation scheduling and optimal application rates that, on one hand, ensure optimal crop hydration, promoting healthy root development and facilitating nutrient uptake and, consequently, maximizing crop yields. On the other hand, it enables efficient irrigation by applying only the amounts needed at the right time, thus avoiding nutrient leaching, soil degradation and, above all, water wastage.

In contrast to in situ measurements, remote sensing data provide frequent, large-scale measurements that can be used to estimate surface variables of interest. In particular, radar data can nowadays be used to obtain maps of surface soil moisture at a high spatial resolution (a few meters), suitable for plot-scale applications. Surface soil moisture can in turn be used to estimate root zone soil moisture via land surface models that enable linking the surface to root zone processes.
?
Furthermore, combining radar-derived surface soil moisture maps with a land surface model using a data assimilation approach has the potential to produce daily root zone soil moisture estimates while improving the accuracy and minimizing the errors of the land surface model. In this context, the objective of this position is to develop an approach combining an appropriate land surface model with radar-derived surface soil moisture product using sequential data assimilation for root zone soil moisture mapping at high spatial resolution.

Key Responsibilities:

??? ?Assessment of different land surface models in terms of root zone soil moisture estimation
??? ?Combine a land surface model with an appropriate sequential data assimilation technique
??? ?Assimilate surface soil moisture product to estimate root zone soil moisture
??? ?Participate in field data collection and data analysis
??? ?Satellite images processing
??? ?Publish research findings in peer-reviewed journals and present results at conferences and workshops.
??? ?Contribute to the supervision of master and PhD students.

Qualifications:

??? ?Ph.D. in Earth Sciences, Remote Sensing, Physics, Applied mathematics, or related field.
??? ?Strong background in land surface modeling, remote sensing data analysis, images processing, and geospatial analysis.
??? ?Experience working with satellite imageries (e.g., Sentinel-1, Landsat, Sentinel-2) and other remote sensing data sources.
??? ?Proficiency in programming MATLAB and Python for data analysis and algorithm development.
??? ?Knowledge of data assimilation techniques is a valuable added.
??? ?Excellent communication skills and ability to work effectively in a collaborative research environment.


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National University of Science and Technology, Oman