Skip to main content

IIT Delhi-University of Queensland International Joint PhD with Scholarships and fellowship



IIT Delhi-University of Queensland International Joint PhD in Science, Engineering, Management, Humanities: Apply by March 22
Start your future on Coursera today.
     
BY: USHA | 24 Feb 2020 11:17 AM

 
The University of Queensland, Australia and IIT Delhi have created a joint research programme titled UQ-IITD Academy of Research (UQIDAR).

UQIDAR will attract the best global talent, including elite students, academics, researchers and scientists to work on goal-directed, cross-disciplinary grand challenges that are of interest to Australia, India and the global community and that also align with The University of Queensland (UQ) and Indian Institute of Technology (IITD) research strengths. UQIDAR will enable UQ and IITD to enrol the brightest and most talented students in a joint PhD with joint supervision from both institutions. It is anticipated that the majority of students (i-students) will be recruited into the joint-PhD program in Delhi, and there will be a small cohort of Australia-anchored scholars (q-students).

i-students will spend 3 years in India and a minimum of one year in Australia while
q-students will spend 3 years in Australia and one year in India.
It is expected that candidature will be a maximum of 4 years in all disciplines, depending on a students progress, with scholarships offered for a maximum of 4 years. Both i-students and q-students will be expected to undertake some coursework. Upon successful completion of the program, students will be offered a PhD degree from both UQ and IITD.

Students of the Academy will
Gain a joint global qualification from two institutions (UQ and IITD) in 4 years;
Receive a generous scholarship;
Be in a position to take advantage of world-class facilities and resources and gain exposure to a new research ecosystem, network and environment; and
Benefit from global expertise via dual supervision between UQ and IITD as well as possible industry input.
The collaboration will involve strong industry linkages whereby industry will be involved in supporting PhD students. Industry supported PhD scholars will work on challenging research problems posed and defined by industry partners of the UQIDAR. Industry supervisors will co-guide the students along with UQ and IITD supervisors. The collaboration will also enable the establishment of a mobility or fellowship scheme to enable academics and postdoctoral fellows to spend time at each institute, expanding research linkages and offering career development opportunities for early career researchers.

Comments

Popular posts from this blog

Accuracy Assessment

Accuracy assessment is the process of checking how correct your classified satellite image is . 👉 After supervised classification, the satellite image is divided into classes like: Water Forest Agriculture Built-up land Barren land But classification is done using computer algorithms, so some areas may be wrongly classified . 👉 Accuracy assessment helps to answer this question: ✔ "How much of my classified map is correct compared to real ground conditions?"  Goal The main goal is to: Measure reliability of classified maps Identify classification errors Improve classification results Provide scientific validity to research 👉 Without accuracy assessment, a classified map is not considered scientifically reliable . Reference Data (Ground Truth Data) Reference data is real-world information used to check classification accuracy. It can be collected from: ✔ Field survey using GPS ✔ High-resolution satellite images (Google Earth etc.) ✔ Existing maps or survey reports 🧭 Exampl...

REMOTE SENSING INDICES

Remote sensing indices are band ratios designed to highlight specific surface features (vegetation, soil, water, urban areas, snow, burned areas, etc.) using the spectral reflectance properties of the Earth's surface. They improve classification accuracy and environmental monitoring. 1. Vegetation Indices NDVI – Normalized Difference Vegetation Index Formula: (NIR – RED) / (NIR + RED) Concept: Vegetation reflects strongly in NIR and absorbs in RED due to chlorophyll. Measures: Vegetation greenness & health Uses: Agriculture, drought monitoring, biomass estimation EVI – Enhanced Vegetation Index Formula: G × (NIR – RED) / (NIR + C1×RED – C2×BLUE + L) Concept: Corrects for soil and atmospheric noise. Measures: Vegetation vigor in dense canopies Uses: Tropical rainforest mapping, high biomass regions GNDVI – Green Normalized Difference Vegetation Index Formula: (NIR – GREEN) / (NIR + GREEN) Concept: Uses Green instead of Red ...

Landsat 8 Band designation and Band Combination.

Landsat 8 Band designation and Band Combination.  Landsat 8-9 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) Bands Wavelength (micrometers) Resolution (meters) Band 1 - Coastal aerosol 0.43-0.45 30 Band 2 - Blue 0.45-0.51 30 Band 3 - Green 0.53-0.59 30 Band 4 - Red 0.64-0.67 30 Band 5 - Near Infrared (NIR) 0.85-0.88 30 Band 6 - SWIR 1 1.57-1.65 30 Band 7 - SWIR 2 2.11-2.29 30 Band 8 - Panchromatic 0.50-0.68 15 Band 9 - Cirrus 1.36-1.38 30 Band 10 - Thermal Infrared (TIRS) 1 10.6-11.19 100 Band 11 - Thermal Infrared (TIRS) 2 11.50-12.51 100 Vineesh V Assistant Professor of Geography, Directorate of Education, Government of Kerala. https://www.facebook.com/Applied.Geography http://geogisgeo.blogspot.com

Energy Interaction with Atmosphere and Earth Surface

In Remote Sensing , satellites record electromagnetic radiation (EMR) that is reflected or emitted from the Earth. Before reaching the sensor, radiation interacts with: The Atmosphere The Earth's Surface These interactions control how satellite images look and how we interpret them. I. Interaction of EMR with the Atmosphere When solar radiation travels from the Sun to the Earth, four main processes occur: 1. Absorption Definition: Absorption occurs when atmospheric gases absorb radiation at specific wavelengths and convert it into heat. Main absorbing gases: Ozone (O₃) → absorbs Ultraviolet (UV) Carbon dioxide (CO₂) → absorbs Thermal Infrared Water vapour (H₂O) → absorbs Infrared Concept: Atmospheric Windows These are wavelength regions where absorption is very low, allowing radiation to pass through the atmosphere. Remote sensing depends on these windows. For example, satellites like Landsat 8 use visible, near-infrared, and thermal bands located in atmospheric windows. 2. Trans...

Change Detection

Change detection is the process of finding differences on the Earth's surface over time by comparing satellite images of the same area taken on different dates . After supervised classification , two classified maps (e.g., Year-1 and Year-2) are compared to identify land use / land cover changes .  Goal To detect where , what , and how much change has occurred To monitor urban growth, deforestation, floods, agriculture, etc.  Basic Concept Forest → Forest = No change Forest → Urban = Change detected Key Terminologies Multi-temporal images : Images of the same area at different times Post-classification comparison : Comparing two classified maps Change matrix : Table showing class-to-class change Change / No-change : Whether land cover remains same or different Main Methods Post-classification comparison – Most common and easy Image differencing – Subtract pixel values Image ratioing – Divide pixel values Deep learning methods – Advanced AI-based detection Examples Agricult...