Allameh Tabataba ’i University

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Morocco

CRSA – Postdoc in Enhanced water balance modeling scheme over Morocco

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 the 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:
For sustainable management of water resources, it is crucial to be able to accurately quantify the evolution of surface and groundwater storage. For a long time, the main tools for providing such information for planning purposes have been hydrological models. They come in various configurations, from simple, conceptual lumped models to more complex, distributed ones. Their low input data requirements and flexible application make them widely used by water managers. While very attractive, these models can be pretty challenging when attempting to compute the water budget over broader regions, mainly in ungauged catchments. Being developed for specific contexts, the structure of these models, depending on the dominant regime and its dynamics, put more focus on a specific water balance component than others. This can make the structure inadequate to be directly transferred to other regions with different physiographic contexts and hydroclimatic regimes. The most recent advances in large-scale gridded hydrometeorological data with relatively high spatio-temporal resolution offer an unprecedented opportunity to address some of these issues, particularly with the extensive emergence of data-driven modeling approaches.

In this perspective, we are looking for a highly motivated postdoctoral researcher to join our Center for Remote Sensing Applications team. The successful candidate will work on implementing a hybrid modeling scheme driven by remote sensing data to enhance the estimation of some of the significant water balance components. The candidate is expected to seek an optimal integration between the physical representations of the various processes and the computing power of the AI algorithms.

Key duties
1.?? ?Develop a robust framework to simulate streamflow decomposed into fast-flow and baseflow at multiple Moroccan watersheds. The candidate would have to test various fast-flow and, more importantly, baseflow simulation methods and outline their adequacy depending on physiography and climate conditions.
2.?? ?Implement an enhanced snow balance modeling scheme employing multisource remote sensing data. The candidate will consider and investigate the existing tools and then suggest an enhanced prediction scheme of the snow dynamics (snow accumulation and snowmelt) over the Atlas Mountain range.
3.?? ?Make use of the developed modeling scheme to outline the drainage area's contribution to the storage changes of surface and underground reservoirs.
4.?? ?Better identify the contribution of rainfall and snowmelt.
5.?? ?Design and conduct fieldwork for in-situ measurements and samplings.
6.?? ?Closely work with researchers and students involved in spatial hydrology.
7.?? ?Publish scientific papers in peer-reviewed journals and deliver presentations and progress reports.
8.?? ?Contribute to the supervision of Masters and Ph.D. students.
Qualifications:
??? ?Ph.D. in Spatial Hydrology, Environmental sciences, Earth sciences, or related fields
??? ?Strong background in hydrology and remote sensing techniques.
??? ?Proficiency in computer programming tools such as Matlab and/or Python.
??? ?Knowledge of statistics and mathematical modeling.
??? ?Experience in large spatial data processing, analysis, and interpretation.
??? ?Experience in running and evaluating environmental models.
??? ?Good publication record.
??? ?Good speaking and writing communication skills.
??? ?Ability to collaborate with other team members and UM6P departments.


Mohammed VI Polytechnic 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

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.


India

Job Description:

Designations Available:

Assistant Professor, Associate Professor, and Professor

Desired Skillset:


	Applicants should preferably hold a Ph.D. in the relevant subject from reputed Institutions.
	Should have sufficient experience in Teaching, Industry & Research with reputed Institutions.
	Should have research papers published in International / National Journals.
	Should have books published and Scholars awarded / currently working for.
	Applicants with patents registered / consultancy works carried out will be given preference.
	Exposure in handling high-value funded projects will be an added advantage


Preferred Qualifications:


	Ph.D. in relevant streams with good academic records


Areas of Specialization:


	Plant Breeding and Genetics


Responsibilities:

Academics:


	Classroom presentation
	Laboratory Instructions
	Development Learning of Resource Materials & Laboratory Development
	Student Assessment & Evaluation including Examination work of University.
	Participation in Co-curricular & extracurricular activities
	Student’s guidance, counseling & helping in their personal, ethical, moral, and overall character development
	Keeping abreast of new knowledge and skills, help to generate new knowledge and help dissemination of such knowledge through books, publications, seminars, handouts, etc.
	Continuing Education Activities Self-development through upgrading qualifications, Experience & Professional activities


Research Consultancy:


	Research development activities & Research guidance?
	Industry sponsored projects?
	Providing consultancy and testing services?
	Promotion of industry–institution interaction and R & D


Academic / Administration:


	Academic and Administrative management of the institution
	Policy planning, monitoring & evaluation, and promotional activities; both at the department level and institution level
	Design and development of a new programme.
	Preparing projects for funding in areas of R&D work, laboratory development, modernization, expansion, etc
	Administration both at departmental & institutional levels
	Development, administration, and management at Institutional levels
	Monitoring and evaluation of academic and research activities
	Participation in policy planning at the Regional / National level for the Development of Technical Education
	Helping mobilization of resources for the Institution?
	Develop, update and maintain MIS?
	Plan and implement Staff Development activities, conduct Performance Appraisal?
	Maintain Accountability?
	Extension / Industrial Connectivity?
	Interaction with Industry and Society?
	Participation in Community services?
	Providing R&D support and consultancy services to Industry and other user agencies?
	Providing non-formal modes of education for the benefit of the Community?
	Promotion of Entrepreneurship and Job rotation?
	Dissemination of knowledge?
	Providing Technical support in areas of social relevance


Apart from the above duties, any other relevant work is assigned by the Dean of the respective schools

Department:

VIT School of Agricultural Innovations and Advanced Learning (VAIAL)

Skills Required:

Teaching, Industry, Research

Location:

Vellore, Tamil Nadu, India

Posted On:

27-Nov-2024

Years Of Exp:

0 to 20 Years


Vellore Institute of Technology

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:

Associate Professor / Assistant Professor
Department of Operations and Risk Management
(Post Ref.: 24/355)

The appointee will join the Faculty of Business (https://www.ln.edu.hk/fb/) and will be expected to conduct research projects and publish outputs with high impact, teach courses at the undergraduate and postgraduate levels, and participate in academic and professional activities. In particular, the appointee is expected to apply for external competitive grants and commit to teaching excellence and active services to the Faculty and the University. Candidates are required to provide evidence of their research records and quality teaching. A proven record in academic leadership and institutional service would be a distinct advantage.

General Requirements

Candidates should have (i) a PhD degree in Information Systems or a relevant discipline; (ii) a strong publication record in peer-reviewed journals in Information Systems and relevant areas; (iii) a good track record in competitive grant applications; and (iv) relevant teaching experience.

For appointment of?Associate Professor, candidates should have at least 5 years of relevant experience in research and teaching, with a strong publication record in peer-reviewed journals and a soundtrack record in teaching and competitive grant applications in relevant areas. Top-tier journal publications and successful GRF applications would be a distinct advantage. For appointment of?Assistant Professor, candidates should have a good research record and demonstrate strong potential in publishing high-quality papers. Relevant work experience is not required but would be a plus.

Lingnan University pursues excellence in both teaching and research. The appointee is expected to conduct research projects and publish outputs with high impact, teach courses at the undergraduate and postgraduate levels, and participate in academic and professional activities. In particular, the appointee is expected to apply for an external competitive grant and commit to teaching excellence and active services to the Department, the Faculty, and the University. Applicants should provide information on their work experience, qualifications, research records, and evidence of quality teaching. Excellent communication and presentation skills are essential.

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 and incoming passage and baggage allowance for the eligible appointee. Appointment will normally be made on an initial contract of three years, which, subject to review and mutual agreement, may lead to longer-term appointment 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.?Review of applications will 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.


榴莲视频

Allameh Tabataba ’i University

Education301–400^th

Business and Economics801+

Social Sciences601–800^th

榴莲视频

Allameh Tabataba ’i University

Education.css-umjwst{margin-left:0.5rem;vertical-align:middle;font-size:0.75rem;color:#595959;}301–400th

Business and Economics801+

Social Sciences601–800th

Education301–400^th

Social Sciences601–800^th