Kisii 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

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



United Arab Emirates, Abu Dhabi

Description

We are looking to hire two research assistants to help us design and build novel systems and tools for decision-making support. You can learn more about our research vision and work on the lab website (huda-lab.github.io). HuDa lab examines data and decision-making from a tooling and systems-building perspective[1]. You can learn more about the lab’s PI, Prof Azza Abouzied here (azzaabouzied.com).

A successful candidate should be able to design and implement systems and tools as well as demonstrate their efficacy through comparative performance evaluations or user studies. They should be able to work independently or within a team depending on the scope of the project. As we publicly share all our code and data artifacts, good coding & reproducible experimenting practices are a must.

?We meet frequently to provide short status updates and have regular technical 1-1s to dive deep into research problems. Successful RAs or REs present their work, progress, and challenges concisely and clearly. They should be keen about publishing their work and findings and strive to meet deadlines.

?A bachelor’s degree in Computer Science or Computer Engineering is required. The candidate should also demonstrate experience and excellence in systems or tool building, algorithmic thinking, and research. The ability to program in Python, C , and other frameworks is a must. Comfort with declarative programming, SQL, and data management is highly desired. The job description further outlines desired skill sets including the completion of advanced courses or projects in systems, HCI or AI/ML.

Employees receive a competitive salary with attractive benefits, including housing allowance, medical insurance, annual home leave allowance, and (if applicable) dependent private school fees. Salaries are tax-free in the UAE (for US tax, the Foreign Earned Income Exclusion can be used). The researchers will have dedicated funds for traveling, computing, publications, and access to excellent world-class research facilities.?

Applications will be evaluated immediately and will continue until the position is filled. To apply, please submit a cover letter, curriculum vitae, statement of research interests, and two letters of reference, all in PDF format.?

Questions regarding specifics for this position may be directed to Prof. Azza Abouzied - azza@nyu.edu?

About NYUAD:

NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.

EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer

UAE Nationals are encouraged to apply

?Applicants interested in applied data science project where they study certain social or digital phenomena using data science/ML/network analysis/etc. will find that we do not do such research in our lab.

Equal Employment Opportunity Statement

For people in the EU, click here for information on your privacy rights under GDPR:?www.nyu.edu/it/gdpr

NYU is an equal opportunity employer committed to equity, diversity, and social inclusion.


New York University Abu Dhabi Corporation

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

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.


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Kisii University