Universidad Continental

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Morocco

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.


Mohammed VI Polytechnic University

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.


Singapore

FACULTY OPENINGS AT THE SINGAPORE INSTITUTE OF TECHNOLOGY 

Singapore Institute of Technology (SIT) aspires to be a leader in innovative learning by integrating learning, industry and community. Its mission is to nurture and develop individuals who build on their interests and talents to impact society in meaningful ways.

Our engineering degree programmes have been developed through extensive consultation with industry, thus creating a curriculum that supports the industry’s needs in manpower development and innovation. We look forward hire faculty with industrial experience to foster applied learning in the course being delivered.

SIT focuses on working with the industry on translational research and innovation, spanning technology readiness levels (TRLs) 3-7. Unlike traditional research which is discovery-oriented, applied research projects have higher TRLs which bridge the gap between theoretical research and industry applications. SIT Engineering Cluster focusses on the five key pillars of Applied Research (i) Infrastructure (Maintenance) (ii) Sustainability (Built Environment) (iii) Energy Resilience (iv) Maritime Engineering and (v) Advanced Manufacturing, working with various industry sectors in Singapore as well as in the region.

For this faculty position, we are looking for candidates with an engineering background, who have extensive experience in intelligent robotic systems.

Job Description:

SIT is seeking a highly qualified and motivated individual for the position of Assistant/Associate Professor. This position emphasizes excellence in teaching and applied research. As a faculty member, you will play a crucial role in shaping the education and research endeavors of our institution.

Teaching Responsibilities:


	Delivering high-quality lectures and interactive classes in topics related to robotics, robot operating system (ROS), system engineering, computational mathematics, C/C++ programming, data structure and algorithm, artificial intelligence (AI) and machine learning at the undergraduate level.
	Developing engaging course materials, including syllabi, lecture notes, assignments, and assessments, in accordance with established curriculum guidelines.
	Employing innovative teaching methods and technologies to enhance student learning experiences.
	Mentoring and advising students on academic and career-related matters.
	Evaluating and providing constructive feedback on student performance, including assessments and projects.
	Actively engaging in academic research to stay up-to-date with the latest developments in the field.


Applied Research Responsibilities:


	Conducting cutting-edge research in autonomous system, human-robot interaction, AI for robotics and AI-driven control system, with an emphasis on practical applications and industry relevance.
	Seeking external funding and grants to support research projects and initiatives.
	Collaborating with colleagues, both within the institution and externally, to foster interdisciplinary research and contribute to the overall research goals of the department.
	Publishing research findings in reputable journals and presenting at conferences and symposia.
	Supervising graduate students in their research work and guiding them to facilitate their success.
	Engaging with industry partners and stakeholders to develop collaborative research projects and foster technology transfer.


General Responsibilities:


	Actively participating in departmental meetings, committees, and other administrative tasks as required.
	Contributing to the continuous improvement and development of the curriculum, course materials, and teaching methodologies.
	Demonstrating a commitment to fostering an inclusive and diverse learning environment.
	Engaging in professional development activities to enhance teaching and research skills.
	Promoting the institution's reputation through active involvement in professional societies and organizations.


Qualifications:


	A Ph.D. in a relevant field, such as Robotics, Mechanical/Electrical Engineering, Mechatronics, Computer Science, or a closely related discipline.
	Strong experience in mechatronic system design, robotic perception, autonomous system, human-robot interaction and integration of sensors/ actuators with robotic system. 
	Proficiency in programming languages such as C, C++ and Python, ROS, AI and machine learning, and their application to robotics.
	Significant experience in applied research, with a focus on practical applications in industry.
	Experience in securing external research funding and managing research projects.
	Strong communication and interpersonal skills to effectively engage with students, colleagues, and industry partners.
	The ability to work collaboratively in a team-oriented academic environment.
	A commitment to promoting diversity, equity, and inclusion in education and research.


Successful candidates will join the Engineering (ENG) Cluster (one of five academic clusters in SIT), as members of a team of accomplished experts passionate about higher education and deeply involved in industry transformation through applied research programmes.

Applications will be accepted until the positions are filled. All applications must be submitted electronically via SIT Career Website.


Singapore Institute of Technology (SIT)

United Kingdom, Birmingham

Salary: £27,344 - £29,659 per annum
Contractual hours: 37 Basis Full Time
Package: Full details can be found here - https://www.ucb.ac.uk/about-us/work-for-us/rewards-and-benefits/
Job category/type: Administration, Professional Services
Job reference: REQ000230
Attachments: International Operations Officer -JDPS - Dec 24.pdf

Job description

Are you organised, detail-orientated, and passionate about making international higher education more accessible? We are seeking an International Operations Officer to join the International Office here at University College Birmingham.

Key Responsibilities:

Support all aspects of International Office administration, ensuring operational compliance in a sales-driven environment.

Coordinate agent appointment, monitoring, renewal, and termination processes, ensuring all policies and regulations are adhered to.

Manage agent records and contracts, carry out regular data returns, and answer agent enquiries relating to these matters.

Process agent commission accurately and in line with the university’s service level agreement.

Why Join Us?

As a key member of our operations team, you will play a pivotal role in ensuring we achieve our strategic objectives as well as providing our international partners with sector-leading support.

We have a supportive, collaborative, and open-minded culture. You will be joining a university that thinks bold when it comes to delivering higher education and ensuring student success.

Don’t miss the opportunity to become part of the mission and make a real impact!


University College Birmingham

United Kingdom, Southampton

The University of Southampton, in partnership with the National Biofilms Innovation Centre (NBIC) has an exciting opportunity available for an Associate Professor or Full Professor in Microbial Biofilms.

As part of an ambitious and ongoing plan for strategic growth in Biosciences at the University of Southampton, this role provides an exciting opportunity to shape the life-science agenda at the University of Southampton; a top 100 University in the QS World Rankings.

The post holder will be a microbiologist with experience in the biology and mechanisms of microbial biofilms as relevant to their structure, function, or interactions within complex microbial communities.

The role will be affiliated to the National Biofilms Innovation Centre (NBIC) at Southampton. The ideal candidate will have leadership experience and contribute to enhancing NBIC’s reputation as a leading and internationally recognised centre for biofilm research and innovation.

About the University of Southampton

The University of Southampton is host to one of the largest groupings of biofilm academics in the UK and is unique in its ability to consider biofilms in an integrated way across a range of research areas. These include biological sciences, medicine, chemistry, computational modelling, engineering and ocean science creating impact across diverse fields of application, from medicine to industry to the environment.

The post holder will be based at Southampton's School of Biological Sciences, which tackles the world’s greatest life science challenges, from the treatment and prevention of disease, to climate change. The School's bioscience education, research and enterprise activities are grounded in academic excellence. Find out more about the School of Biological Sciences here.

You will be joining a friendly, highly collegiate, supportive and collaborative research environment. Our research themes across span microbiology, molecular and precision bioscience, cell and developmental biology, neuroscience, plants and food security, and ecology and evolution, with our research ranked in the UK top 10 for impact (REF2021).

About the National Biofilms Innovation Centre (NBIC)

NBIC is an Innovation Knowledge Centre (IKC) jointly funded by the BBSRC and Innovate UK. By bringing together the UK's strength in biofilm research, and combining it with the expertise of industrialists, NBIC aims to deliver breakthrough technologies that will have an impact on day-to-day lives.

Led by the University of Southampton and the Universities of Liverpool, Nottingham and Edinburgh, NBIC is a consortium of 63 academic partner institutions across the UK – it is the central hub where academia, industry, government and public policy come together to tackle the grand challenges biofilms present. NBIC’s mission is to drive global leadership in biofilm research, training, and innovation by tackling key challenges crucial to the UK’s future prosperity. View NBIC’s 2024 Annual Report here.

A 2023 economic review highlights several significant impacts following the £16m investment from BBSRC and Innovate UK into NBIC between December 2017 and December 2022. The review demonstrates a total impact of approximately £204m across research and innovation that extends throughout the UK economy.

Enquires to Head of School for Biological Sciences, Professor Phil Williamson or to NBIC Co-Director, Professor Jeremy Webb are warmly encouraged.

Please upload your CV and Covering Letter with your application.


Universidad Continental

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Impact Rankings

Impact Rankings 20241501+

Good Health and Wellbeing 20241001+

Quality Education 2024601-800^th

Climate Action 2024601-800^th

Partnership for the Goals 20241501+

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Good Health and Wellbeing 20241001+

Quality Education 2024601-800th

Climate Action 2024601-800th

Partnership for the Goals 20241501+

Discover similar universities

Impact Rankings 20241501+

Quality Education 2024601-800^th

Climate Action 2024601-800^th