Universidad Católica de Cuenca

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Universidad Catolica de Cuenca

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World University Impact Rankings - Working Together 2021

World University Impact Rankings - Clean Water 2022

World University Impact Rankings - Gender Equality 2023

World University Impact Rankings - Sustainability 2024

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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

Hong Kong

Ref.: 530750
Work type: Full-time
Department: School of Public Health (22400)
Categories: Senior Research Staff & Post-doctoral Fellow

Applications are invited for appointment as Research Officer in the School of Public Health (Ref.: 530750), to commence as soon as possible on a one-year temporary term or two-year fixed-term basis, with the possibility of renewal subject to funding availability and satisfactory performance.

Applicants should possess a Ph.D. degree in epidemiology, biostatistics, public health, or a related discipline, with at least 5 years of relevant work experience. They should have solid research experience in communicable and/or non-communicable diseases, and a track record of high-quality impactful research demonstrated by publications and/or external grants. They must be competent in statistical software packages, including R, for data analysis. They should have an excellent command of written and spoken English and Chinese (including Cantonese and Putonghua). They should be organized, responsible, detail-minded, self-motivated, and able to work independently as well as in a multidisciplinary team.

The appointee will lead a project on the health economic evaluation of cancer prevention strategies. He/She will also be responsible for fieldwork using large language models (LLMs) in real-world healthcare settings. He/She will supervise junior research staff and students; develop his/her own research programme; and write scientific publications, grant proposals and reports. He/she would also be assigned teaching duties for undergraduate and postgraduate students, and perform other duties as assigned. Working off-campus may be required. Information about the School can be obtained at http://sph.hku.hk.

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The appointment on fixed terms will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of the basic salary. Housing benefits will be provided as applicable.

The University only accepts online applications for the post. Applicants should apply online and upload an up-to-date CV, and research publication list. Review of applications will commence on January 1, 2025, and continue until February 28, 2025, or until the post is filled, whichever is earlier.


The University of Hong Kong

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 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



Singapore Institute of Technology (SIT)

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

India, Delhi

Overview

The University of Southampton, in partnership with Oxford International Education Group (OIEG), is launching its first international campus in India, located in Gurgaon, Delhi. This initiative is a response to India's New Education Policy and represents a significant investment in transnational education. The new campus aims to provide Indian students with the opportunity to earn a globally recognised degree without leaving the country.

 Job purpose

The role holder’s contribution will be central to delivery and support of teaching, learning and assessment, across Business for the University of Southampton Delhi. 

The role holder will teach at undergraduate and postgraduate level and engage in other necessary educational activities to ensure successful delivery of degree programmes. Once teaching activities are embedded and successful the role holder will undertake research and knowledge exchange in line with the campus’s research strategy.

The role holder will undertake leadership, management and engagement activities and will demonstrate collegiality by ensuring ‘Southampton Behaviours’ are embedded within their ways or working.

They will be committed to high-quality education and support of learning and to building a vibrant student experience and community. Visible and collegiate, the role holder will be expected to contribute to all aspects of the campus’s activities including student recruitment and outreach.

For further information and details on how to apply please visit the following link here


Universidad Católica de Cuenca

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Impact Rankings

Impact Rankings 20241001-1500^th

No Poverty 2024401-600^th

Good Health and Wellbeing 2024401-600^th

Quality Education 2021801+

Gender Equality 2021401-600^th

Peace, Justice and Strong Institutions 2024601-800^th

Partnership for the Goals 20241501+

Discover similar universities

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Universidad Católica de Cuenca

About

Impact Rankings

No Poverty 2024401-600th

Good Health and Wellbeing 2024401-600th

Quality Education 2021801+

Gender Equality 2021401-600th

Peace, Justice and Strong Institutions 2024601-800th

Partnership for the Goals 20241501+

Discover similar universities

No Poverty 2024401-600^th

Good Health and Wellbeing 2024401-600^th

Gender Equality 2021401-600^th

Peace, Justice and Strong Institutions 2024601-800^th