Skip to main content

PHD CANDIDATE COVID-19 AND WATER, SANITATION AND HYGIENE IN SCHOOLS. IMPLICATIONS, CHALLENGES, SOLUTIONS University of Twente





PHD CANDIDATE COVID-19 AND WATER, SANITATION AND HYGIENE IN SCHOOLS. IMPLICATIONS, CHALLENGES, SOLUTIONS University of Twente


JOB DESCRIPTION
The global Covid-19 pandemic has revealed the extent to which schools are struggling with the provision of drinking water, sanitation and hygiene (WASH). WHO and UNICEF identified a range of hygiene measures needed to be in place for schools to reopen and operate safely. This PhD research aims to create an understanding of the implications of WASH in schools in developing countries. It will identify geographical, infrastructural and socio-economic barriers related to the necessary improvement of WASH, with a special focus on the availability of water. In addition, it will showcase best WASH practices for safe reopening of schools across the globe and relate them to geography, and identify innovative solutions and their implications to society. This interdisciplinary PhD position has a high relevance to public health, involving both quantitative and qualitative data collection, Earth observation, geospatial analysis, and analysis of primary and secondary data through time.
YOUR PROFILE
You have an MSc degree in public health, environmental engineering or data science.
You have expertise in acquisition and processing of geo-information & remote sensing.
You have good knowledge in statistical data analysis.
You have demonstrated scientific creativity that has preferably resulted in a scientific publication.
You have excellent communication skills and good English language proficiency
You are willing to spend about 6 months performing field work.
You have an affinity with a multi-cultural education environment, excellent work ethics, and commitment to the job
OUR OFFER
We offer a position in an inspiring and challenging multidisciplinary and international environment for a period of four years. Salary and conditions will be in accordance with the Collective Labour Agreement (CAO) for Dutch Universities:
A starting salary of € 2,395.00 in the first year and a salary of € 3,061.00 in the fourth year gross per month;
A holiday allowance of 8% of the gross annual salary and a year-end bonus of 8.3%;
A solid pension scheme;
Minimum of 41 holiday days in case of full-time employment;
Professional and personal development programs;
Costs for moving to Enschede may be reimbursed.
INFORMATION AND APPLICATION
Additional information about this position can be obtained from Dr. Carmen Anthonj (email: c.anthonj@utwente.nl) and Prof. Dr. Justine Blanford (email: j.i.blanford@utwente.nl). You are also invited to visit our GeoHealth website (www.itc.nl/global-impact/geo-health/).
Please submit your application before 15 November 2020 (choose "apply here" below). Your application should include:
a cover letter (maximum 2 pages) including a professional statement with relevant past qualifications/experiences, motivations and future goals.
a one page outline on how to approach this research;
a full Curriculum Vitae, including a list of all courses attended and grades obtained, including a list of names including contact information for three referees;
a short description (maximum 1 page A4) of your MSc research.
ABOUT THE DEPARTMENT
ABOUT THE ORGANIZATION
University of Twente (UT)
University of Twente (UT) has entered the new decade with an ambitious, new vision, mission and strategy. As 'the ultimate people-first university of technology' we are rapidly expanding on our High Tech Human Touch philosophy and the unique role it affords us in society. Everything we do is aimed at maximum impact on people, society and connections through the sustainable utilisation of science and technology. We want to contribute to the development of a fair, digital and sustainable society through our open, inclusive and entrepreneurial attitude. This attitude permeates everything we do and is present in every one of UT's departments and faculties. Building on our rich legacy in merging technical and social sciences, we focus on five distinguishing research domains: Improving healthcare by personalised technologies; Creating intelligent manufacturing systems; Shaping our world with smart materials; Engineering our digital society; and Engineering for a resilient world.
As an employer, University of Twente offers jobs that matter. We equip you as a staff member to shape new opportunities both for yourself and for our society. With us, you will be part of a leading tech university that is changing our world for the better. We offer an open, inclusive and entrepreneurial climate, in which we encourage you to make healthy choices, for example, with our flexible, customisable conditions.




Vineesh V
Assistant Professor of Geography,
Directorate of Education,
Government of Kerala.
https://www.facebook.com/Applied.Geography
http://geogisgeo.blogspot.com

Comments

Post a Comment

Popular posts from this blog

Supervised Classification

Image Classification in Remote Sensing Image classification in remote sensing involves categorizing pixels in an image into thematic classes to produce a map. This process is essential for land use and land cover mapping, environmental studies, and resource management. The two primary methods for classification are Supervised and Unsupervised Classification . Here's a breakdown of these methods and the key stages of image classification. 1. Types of Classification Supervised Classification In supervised classification, the analyst manually defines classes of interest (known as information classes ), such as "water," "urban," or "vegetation," and identifies training areas —sections of the image that are representative of these classes. Using these training areas, the algorithm learns the spectral characteristics of each class and applies them to classify the entire image. When to Use Supervised Classification:   - You have prior knowledge about the c...
Post a Comment
Read more

Hazard Mapping Spatial Planning Evacuation Planning GIS

Geographic Information Systems (GIS) play a pivotal role in disaster management by providing the tools and frameworks necessary for effective hazard mapping, spatial planning, and evacuation planning. These concepts are integral for understanding disaster risks, preparing for potential hazards, and ensuring that resources are efficiently allocated during and after a disaster. 1. Hazard Mapping: Concept: Hazard mapping involves the process of identifying, assessing, and visually representing the geographical areas that are at risk of certain natural or human-made hazards. Hazard maps display the probability, intensity, and potential impact of specific hazards (e.g., floods, earthquakes, hurricanes, landslides) within a given area. Terminologies: Hazard Zone: An area identified as being vulnerable to a particular hazard (e.g., flood zones, seismic zones). Hazard Risk: The likelihood of a disaster occurring in a specific location, influenced by factors like geography, climate, an...
Post a Comment
Read more

Scope of Disaster Management

Disaster management refers to the systematic approach to managing and mitigating the impacts of disasters, encompassing both natural hazards (e.g., earthquakes, floods, hurricanes) and man-made disasters (e.g., industrial accidents, terrorism, nuclear accidents). Its primary objectives are to minimize potential losses, provide timely assistance to those affected, and facilitate swift and effective recovery. The scope of disaster management is multifaceted, encompassing a series of interconnected activities: preparedness, response, recovery, and mitigation. These activities must be strategically implemented before, during, and after a disaster. Key Concepts, Terminologies, and Examples 1. Awareness: Concept: Fostering public understanding of potential hazards and appropriate responses before, during, and after disasters. This involves disseminating information about risks, safety measures, and recommended actions. Terminologies: Hazard Awareness: Recognizing the types of natural...
Post a Comment
Read more

Supervised Classification

In the context of Remote Sensing (RS) and Digital Image Processing (DIP) , supervised classification is the process where an analyst defines "training sites" (Areas of Interest or ROIs) representing known land cover classes (e.g., Water, Forest, Urban). The computer then uses these training samples to teach an algorithm how to classify the rest of the image pixels. The algorithms used to classify these pixels are generally divided into two broad categories: Parametric and Nonparametric decision rules. Parametric Decision Rules These algorithms assume that the pixel values in the training data follow a specific statistical distribution—almost always the Gaussian (Normal) distribution (the "Bell Curve"). Key Concept: They model the data using statistical parameters: the Mean vector ( $\mu$ ) and the Covariance matrix ( $\Sigma$ ) . Analogy: Imagine trying to fit a smooth hill over your data points. If a new point lands high up on the hill, it belongs to that cl...
Post a Comment
Read more

Role of Geography in Disaster Management

Geography plays a pivotal role in disaster management by facilitating an understanding of the impact of natural disasters, guiding preparedness efforts, and supporting effective response and recovery. By analyzing geographical features, environmental conditions, and historical data, geography empowers disaster management professionals to identify risks, plan for hazards, respond to emergencies, assess damage, and monitor recovery. Geographic Information Systems (GIS) serve as crucial tools, providing critical spatial data for informed decision-making throughout the disaster management cycle. Key Concepts, Terminologies, and Examples 1. Identifying Risk: Concept: Risk identification involves analyzing geographical areas to understand their susceptibility to specific natural disasters. By studying historical events, topography, climate patterns, and environmental factors, disaster management experts can predict which regions are most vulnerable. Terminologies: Hazard Risk: The pr...
Post a Comment
Read more