Skip to main content

PhD programme in Regional Science & Economic Geography.

The Gran Sasso Science Institute, a public research-intensive university dedicated to doctoral education in L'Aquila, Italy, has advertised 10 fully funded doctoral positions in its 4-year English-taught PhD programme in Regional Science & Economic Geography. The programme offers training in both quantitative and qualitative research methods in economic geography and regional studies.

L'Aquila is a mid-size historical town in central Italy, surrounded by mountains in a largely unspoiled natural environment. It is the capital city of the Abruzzo region. Rome can be reached from L'Aquila in about one hour and half by bus.

Here is the programme's official statement: 

The Ph.D. program in "Regional Science and Economic Geography" is a cutting-edge and interdisciplinary program designed to explore the intricate relationship between space and socioeconomic phenomena, by employing mixed methods and interdisciplinary approaches. This Ph.D. program equips students with the skills to offer evidence-based policy recommendations, rooted in robust empirical findings and established causal relationships, and fosters research in economic and/or human geography. It aims to address the challenges posed by globalization, urbanization, climate change, and development by fostering a deeper understanding of these processes. We welcome students with different backgrounds, including (but not limited to) applied economics, economic and/or human geography, or sociology, who share an interest in these issues.

The PhD Programme lasts four years. The Academic Year will start on November 1st, 2024. The GSSI awards scholarships until the thesis dissertation and for a maximum of four years. The yearly gross amount of the scholarship is € 16.243,00. An additional 50% on a monthly basis can be awarded for research periods abroad if approved by the GSSI. During their first year, PhD students will be offered free accommodation by the GSSI. In the remaining three years they will receive from the university a contribution to their housing costs.

* Students with interests in critical and heterodox regional studies and economic geographies are encouraged to apply *

Applications will close on May 23rd, 2024.





Comments

Popular posts from this blog

Atmospheric Window

The atmospheric window in remote sensing refers to specific wavelength ranges within the electromagnetic spectrum that can pass through the Earth's atmosphere relatively unimpeded. These windows are crucial for remote sensing applications because they allow us to observe the Earth's surface and atmosphere without significant interference from the atmosphere's constituents. Key facts and concepts about atmospheric windows: Visible and Near-Infrared (VNIR) window: This window encompasses wavelengths from approximately 0. 4 to 1. 0 micrometers. It is ideal for observing vegetation, water bodies, and land cover types. Shortwave Infrared (SWIR) window: This window covers wavelengths from approximately 1. 0 to 3. 0 micrometers. It is particularly useful for detecting minerals, water content, and vegetation health. Mid-Infrared (MIR) window: This window spans wavelengths from approximately 3. 0 to 8. 0 micrometers. It is valuable for identifying various materials, incl...

Platforms in Remote Sensing

In remote sensing, a platform is the physical structure or vehicle that carries a sensor (camera, scanner, radar, etc.) to observe and collect information about the Earth's surface. Platforms are classified mainly by their altitude and mobility : Ground-Based Platforms Definition : Sensors mounted on the Earth's surface or very close to it. Examples : Tripods, towers, ground vehicles, handheld instruments. Applications : Calibration and validation of satellite data Detailed local studies (e.g., soil properties, vegetation health, air quality) Strength : High spatial detail but limited coverage. Airborne Platforms Definition : Sensors carried by aircraft, balloons, or drones (UAVs). Altitude : A few hundred meters to ~20 km. Examples : Airplanes with multispectral scanners UAVs with high-resolution cameras or LiDAR High-altitude balloons (stratospheric platforms) Applications : Local-to-regional mapping ...

Scattering

Scattering 

History of GIS

1. 1832 - Early Spatial Analysis in Epidemiology:    - Charles Picquet creates a map in Paris detailing cholera deaths per 1,000 inhabitants.    - Utilizes halftone color gradients for visual representation. 2. 1854 - John Snow's Cholera Outbreak Analysis:    - Epidemiologist John Snow identifies cholera outbreak source in London using spatial analysis.    - Maps casualties' residences and nearby water sources to pinpoint the outbreak's origin. 3. Early 20th Century - Photozincography and Layered Mapping:    - Photozincography development allows maps to be split into layers for vegetation, water, etc.    - Introduction of layers, later a key feature in GIS, for separate printing plates. 4. Mid-20th Century - Computer Facilitation of Cartography:    - Waldo Tobler's 1959 publication details using computers for cartography.    - Computer hardware development, driven by nuclear weapon research, leads to broader mapping applications by early 1960s. 5. 1960 - Canada Geograph...

History of GIS

The history of Geographic Information Systems (GIS) is rooted in early efforts to understand spatial relationships and patterns, long before the advent of digital computers. While modern GIS emerged in the mid-20th century with advances in computing, its conceptual foundations lie in cartography, spatial analysis, and thematic mapping. Early Roots of Spatial Analysis (Pre-1960s) One of the earliest documented applications of spatial analysis dates back to  1832 , when  Charles Picquet , a French geographer and cartographer, produced a cholera mortality map of Paris. In his report  Rapport sur la marche et les effets du cholĂ©ra dans Paris et le dĂ©partement de la Seine , Picquet used graduated color shading to represent cholera deaths per 1,000 inhabitants across 48 districts. This work is widely regarded as an early example of choropleth mapping and thematic cartography applied to epidemiology. A landmark moment in the history of spatial analysis occurred in  1854 , when  John Snow  inv...