Universidad Nacional de Villarrica del Espíritu Santo

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Universidad Nacional Villarrica del Espíritu Santo

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Morocco

Descriptio

We are seeking a highly motivated postdoctoral researcher to join our team in an exciting project focused on drought monitoring and forecasting. This position?is?in?The Center for Remote Sensing Applications (CRSA) of the College of Agriculture and Environmental sciences (CAES) at the University Mohammed VI Polytechnic. This position offers an excellent opportunity to work at the intersection of remote sensing, climate science, and data analytics, contributing to the development of innovative solutions to mitigate the impact of drought on agriculture and water resources.

The successful candidate will lead research efforts aimed at improving the monitoring, prediction, and management of droughts. The focus will be on developing methodologies that combine remote sensing data (satellite and drone) with climate models, machine learning algorithms, and hydrological models to forecast drought events and assess their impacts on ecosystems and agriculture.

Responsibilities


	Conduct research on drought detection and prediction using earth observation data, climate models, and ground-based observations.
	Develop algorithms and workflows for near real-time drought monitoring and early warning systems.
	Integrate data from multiple sources (e.g., precipitation, temperature, soil moisture, vegetation indices) to assess drought severity and its spatial and temporal evolution.
	Collaborate with interdisciplinary teams working on climate resilience, hydrology, and agricultural sustainability.
	Publish research findings in high-impact scientific journals and present at international conferences.
	Contribute to the development of decision support tools for drought management.


Qualifications


	PhD in remote sensing, climatology, data science, hydrology, environmental science, or a related field.
	Strong background in remote sensing and experience with satellite data, especially in agricultural and hydrological applications.
	Expertise in climate modeling, data assimilation techniques, and machine learning applications for environmental monitoring.
	Proven track record of publications in peer-reviewed journals.
	Programming skills (e.g., Python, R, MATLAB) and experience with GIS and remote sensing software (e.g., Google Earth Engine, ArcGIS).
	Strong analytical, communication, and writing skills.


Preferred Skills


	Good programming skills are mandatory.
	Experience with crop modeling and the impact of climate variability on agriculture.
	Familiarity with drought indices such as SPI, SPEI, or SMI, and knowledge of water resource management.
	Ability to work independently and collaboratively in a multidisciplinary research environment.
	Strong knowledge of remote sensing and satellite data processing.
	Expertise in geospatial analysis (using software like ArcGIS, QGIS, Python, or MATLAB).
	Familiarity with cloud computing platforms for EO data analysis (e.g., Google Earth Engine, AWS).


How to apply 

Interested candidates should submit the following documents:


	A cover letter describing research experience and interest in the position.
	A CV, including a list of publications.
	Research proposal for the subject (3 pages max)
	Contact information for three academic references.


Applications will be reviewed on a rolling basis until the position is filled.


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.
?


Czech Republic, Brno

Department:?Department of Public Health?–?Faculty of Medicine
Deadline:?21 Jan 2025
Start date:?Immediately or by agreement
Job type:?full-time | part-time
Job field:?Science and research | Education and schooling

The Dean of the Faculty of Medicine of Masaryk University appoints a?selection procedure for the position

Instructor/Assistant Professor at the Department of Public Health of the Faculty of Medicine MU

The Department of Public Health is an educational and research workplace of the Medical Faculty of MU. Provides teaching of students in theoretical and preclinical fields.

You can also learn more about us on our?website,?Facebook?or?Instagram.

The workplace:?Brno, the Czech Republic
Employment:?Full-time/part-time – based on agreement
Start date:?Immediately – based on agreement

The scope of your work will be:


	Participation in theoretical and practical teaching focused on the epidemiology of infectious diseases and healthcare facility hygiene
	Preparation of study and teaching materials
	Independent research and development activities, including publishing and presenting research results
	Contribution to the organizational support of research and teaching activities


Required qualification:


	For the position of Instructor:?Completed master's?degree in a?healthcare field (preferably General Medicine, General Nursing, or Public Health)
	For the position of Assistant Professor:?Completed doctoral degree (Ph.D.)
	Practical experience in the field and teaching experience are an advantage
	Ability to conduct independent professional and scientific work, including publication activity
	Capability to actively participate in international conferences or professional seminars
	Proficiency in the English language
	Excellent command of the Czech language, both spoken and written
	Active approach, initiative, and willingness for further education
	Civic and moral integrity


We offer:


	Work in an inspiring intellectual environment
	Involvement in teaching in a?unique simulation centre
	Professional growth and the possibility of continuous education
	employee benefits (8 weeks holiday, supplementary pension insurance, free vaccination against tick-borne encephalitis and more)


How to apply:

Send your application by the above-written deadline -?please use the link in the Electronic Application section (see below).

Your application must include the following documents:


	a structured CV
	an overview of scientific and publishing activities
	photocopies of qualification papers and diplomas
	names and contact details (phone +?email) of at least two references


After successfully sending your application, you will receive an automatic confirmation by e-mail. You can request more information from Mgr. Adéla Pazderová by e-mail:?adela.pazderova@med.muni.cz


Masaryk University

Hong Kong, Tuen Mun

Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) and has the longest established tradition among the local institutions of higher education. It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better world. Moving forward, Lingnan University is well positioned to take lead as a comprehensive university in arts and sciences in the digital era, with impactful research and innovations.

Lingnan University offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster interdisciplinary collaboration and scientific progress, Lingnan University established the Lingnan University Institute for Advanced Study (LUIAS), attracting distinguished scholars from around the world to collaborate with its faculty and students. With traditional strengths in arts, business, social sciences, and interdisciplinary studies, the University aims to equip students with practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at?https://www.ln.edu.hk/.

Applications are now invited for the following post:

Research Assistant Professor / Postdoctoral Fellow
Department of Sociology and Social Policy
(Post Ref.: 24/447)

The Department of Sociology and Social Policy brings together scholars with international research experience and publication records in major outlets in the area of Sociology and Social Policy. The Department is a recipient of the University’s Research Excellence Award and Teaching Excellence Awards. We offer teaching in Sociology and in Social Policy; and co-host the Health and Social Services Management Major with the Asia Pacific Institute of Ageing Studies and the Social and Public Policy Studies Major with the Department of Economics. The Department hosts an MSocSc Programme in Comparative Social Policy (International) (IMCSP) and has been successful in attracting MPhil and PhD students from around the world as well as Hong Kong PhD Fellows and winning other external competitive grants. For more information, applicants are advised to visit the?departmental website,?UG programme website,?IMCSP programme website, and?RGC Funding Schemes website.

General Requirements

Applicants should have a PhD degree in Sociology, Social Policy, or other related disciplines with relevant teaching and research experience. All applicants are required to provide information on their research portfolio and publication record as well as evidence of quality teaching. Excellent communication and presentation skills in English are essential. Experience with conducting state-of-the-art quantitative or comparative social research will be a distinct advantage. The appointee should be able to take up teaching duties in some of the following courses on the MSocSc Programme in Comparative Social Policy (International): “Comparative Social Policy in Greater China and East Asia”, “Governance, Management and Delivery”, “Qualitative Methods for Policy Analysis”, “Social Entrepreneurship & Social Impact”, and “Non-Profit Organisations & the Voluntary Sector”. Besides these teaching duties, applicants should be prepared to actively support research endeavours of Departmental faculty, MPhil and PhD students broadly in the area of comparative social policy analysis, NGOs, and social impact. The appointee is expected to have a strong commitment to academic excellence and should engage in their own high-quality research and journal publications.

Appointment

The conditions of appointment will be competitive. The rank and remuneration will be commensurate with qualifications and experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity, incoming passage and baggage allowance for the eligible appointee. Appointment will normally be made on an initial contract of up to three years, which, subject to review and mutual agreement, may lead to longer-term appointments with possibility of consideration for substantiation.

Application Procedure?(online application only)

Please click "Apply Now" to submit your application. Applicants shall provide names and contact information of at least three referees to whom applicants’ consent has been given for their providing references.?Personal data collected will be used for recruitment purposes only.

We are an equal opportunities employer.?The review of applications will start and continue until the post is filled. Qualified candidates are advised to submit their applications early for consideration.

The University reserves the right not to make an appointment for the post advertised, or to fill the post by invitation or by search. We regret that only shortlisted candidates will be notified.


Lingnan 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 Finance and Accounting 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 details and how to apply click?here.


University of Southampton

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Universidad Nacional de Villarrica del Espíritu Santo