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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

Hong Kong

Ref.: 530864
Work type: Full-time
Department: Department of Geography (30900)
Categories: Senior Research Staff & Post-doctoral Fellow

Duties and Responsibilities


	conduct research in China’s Eco-urbanization holding special expertise in one or more of the following subfields: climate mitigation, adaptation and resilience; urban climate governance; eco-/low-carbon urbanism; political economy of carbon neutrality; state power and eco-urbanization; climate justice; and energy geography;
	participate in interdisciplinary research activities of the Urbanization, Sustainability and Governance (USG) Research Theme of the Faculty of Social Sciences and the International Centre for China Development Studies (ICCDS)


Requirements


	a Ph.D. degree in Geography or a related discipline (e.g., environmental sciences, planning, sociology, politics, and economics);
	a demonstrated record of relevant scholarly publications and grantsmanship;
	expertise and research experience in China’s climate governance, climate justice, state power and eco-urbanization, political economy of carbon neutrality, and/or energy geography;
	relevant field work experience in China is preferred


What We Offer

The appointment will commence from January 1, 2025, or as soon as possible thereafter, but in any case not later than May 1, 2025, for a period of 2 to 3 years. A highly competitive salary commensurate with qualifications and experience will be offered. Other benefits include annual leave, medical benefits, and free access to on-campus gyms and libraries.

How to Apply

The University only accepts online applications for the above post(s). Applicants should apply online at the University's Careers site (https://jobs.hku.hk) and upload an up-to-date C.V., including complete records of grants, publications, and a statement of research interests. Applicants should also invite three senior academics who are familiar with their academic and research background, skills and experience to send confidential reference letters directly to geogjobs@hku.hk. Review of applications will start as soon as possible and continue until February 28, 2025 or until the post is filled, whichever is earlier. Those who have responded to the previous advertisement (Ref.: 527066) need not re-apply.  Information about the Department can be obtained at http://geog.hku.hk. Enquiries about the post should be addressed to the Project Leader, Professor George C.S. Lin (e-mail: gcslin@hku.hk) or Administrative Assistant II, Ms. Winnie Lam (e-mail: lamwwy@hku.hk) in the Department of Geography.

The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency


The University of Hong Kong

China, Ningbo

University of Nottingham Ningbo China is seeking to recruit a Teaching Fellow in Post Production in School of International Communications

Your Responsibility

Your key responsibilities include:


	To plan and manage own teaching and provide advice as a member of the International Communication teaching team within the programme of study, in a variety of settings including small group tutorials as well as lectures.
	Identify the learning needs of students and ensure that the content, methods of delivery and learning materials meet the defined learning objectives of post-production course(s).
	To develop a national reputation in teaching through contributions to scholarly debate and discussion in the field of media production and post-production including a contribution to writing up research findings for publication in leading journals and dissemination at national/international conferences etc.
	To identify and investigate issues which relate to teaching and learning which may arise in the area of post production both individually and/or collaboratively.
	To build internal and external relationships in order to share information, identify potential sources of funds and/or opportunities for collaboration.  Prepare proposals and applications to external or internal bodies for funding, for teaching innovation, enhancement projects or for own teaching development activities.
	To supervise and provide first line support for undergraduate and/or postgraduate student’s projects, fieldwork and placements, as appropriate and contribute to collaborative decision making with colleagues on the assessment of students work to identify and respond to the diversity of students’ needs.


About You

The ideal candidate will possess a PhD in Film, Media Production, Post-production, or a closely related field and have relevant industry experience in film, television, or commercial post-production workflows, from initial management of camera outputs (including LOG and/or RAW file formats), through picture editing and sound mixing, colour correction and grading, and final mixing and delivery. including experience with LOG and/or RAW file formats. They will demonstrate advanced post-production editing capabilities, with extensive experience in Adobe Premiere Pro and the ability (or willingness to develop the ability) to teach industry-standard tools such as Adobe After Effects, DaVinci Resolve Studio, and sound editing and mixing applications. In addition, the candidate should be able to advise on editing craft and deliver lectures, seminars and workshops in contemporary video editing and post production, including historical perspectives and emerging trends (such as AI tools). Starting September 2025, the school will launch its new practice-based MA program in Digital Screen Production, making this an opportune time for the right candidate to contribute to our post-production educational provision.

About Us

Join a unique British University in China. The University of Nottingham Ningbo China (UNNC) was the first Sino-foreign university to open its doors in China. This award winning campus offering a UK style education has grown to establish a student body of over 9,000 in 20 years.

Your Remuneration, Benefits and Support

The post will initially be offered on a fixed term contract with the University of Nottingham, Ningbo, China for a period of up to 3 years starting June 2025. This contract may be extended on an indefinite basis by mutual agreement.

Salary will be within the range of RMB350,343 to RMB477,481 per annum depending on skills and experience (salary progression beyond this scale is subject to performance).  In addition, an attractive package including accommodation allowance, travel allowance and insurance will be provided for international appointments.

How to Apply

Applicants should submit an application via our on-line application system before 17 February 2025 at https://jobs.nottingham.edu.cn/job/184011/. Only on-line applications made at (https://jobs.nottingham.edu.cn/)will be accepted. Referees will be contacted prior to interview and interviews will take place in Ningbo China. 

Informal enquires may be addressed to Dr Filippo Gilardi, Head of School of International Communications, email: filippo.gilardi@nottingham.edu.cn. Please note that applications sent directly to this address will not be accepted. Applications must be submitted on-line. 

Equality and Diversity

University of Nottingham Ningbo China is an equal opportunity employer. We are committed to providing a fair, equitable and mutually supportive learning and working environment for our students and staff. It is our intention to ensure that job applicants and staff are treated solely on the basis of their merits, abilities and potential, regardless of gender, race, color, nationality, ethnic or national origin, age*, socio-economic background, disability, religious or political beliefs, trade union membership, family circumstances, sexual orientation or other irrelevant distinction.


University of Nottingham Ningbo, China

Ref.: 530910
Work type: Full-time
Department: Department of Pathology, School of Clinical Medicine (21200)
Categories: Senior Research Staff & Post-doctoral Fellow

Applications are invited for appointment as Post-doctoral Fellow in the Breast Cancer Genetics Research Laboratory in the Department Pathology, School of Clinical Medicine (Ref 530910), to commence as soon as possible for three years, with the possibility of renewal subject to satisfactory performance.

Applicants should have a Ph.D./Masters degree in Biomedical Sciences, Biological Science, or a related discipline. Preference will be given to those with experience in cancer biology, molecular biology, and animal work. Applicants in addition to good interpersonal and communication skills, a strong sense of responsibility and commitment, organized and able to work independently as well as in a team. Enquiries about the post should be sent to Prof. Ui-Soon Khoo at uskhoo@pathology.hku.hk.

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.

The University only accepts online application for the above post.  Applicants should apply online and upload an up-to-date C.V.  Review of applications will start as soon as possible and continue until February 28, 2025, or until the post is filled, whichever is earlier.


India

Job Description:

Preferred qualification: Ph.D in relevant discipline

Objective:

The Assistant Professor Research positions in VIT aim to enhance the Research and Innovation eco system by attracting young exceptionally talented scientists and engineers with diverse background to work on challenging and frontier areas. It provides a platform for the development of future science and technology leaders.

Responsibilities


	Assistant Professor Research is expected to involve in high quality research which shall appear as tangible output that includes Publications in Journals of high-repute, Patents, Copyrights, Product development, etc.
	Internal project funding support for your research ideas


Lab facilities to support research activities

Department:

VIT School of Agricultural Innovations and Advanced Learning (VAIAL)

Skills Required:

Teaching

Location:

Vellore, Tamil Nadu, India

Posted On:

27-Nov-2024

Years Of Exp:

0 to 5 Years


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