Skip to main content

PhD position in Radar remote sensing TU Wien.





PhD position in Radar remote sensing TU Wien

The research group Microwave Remote Sensing of the Department of Geodesy and Geoinformation of TU Wien is seeking a motivated

Project assistant in microwave remote sensing (f/m)

Reliable soil moisture and vegetation state estimates are an essential source of data for various research fields and applications, such as climate modelling, agricultural monitoring and flood and drought prediction. The Microwave Remote Sensing group conducts theoretical and applied research to improve the retrieval of soil moisture and land surface characteristics from active microwave remote sensing observations and use these to better understand land surface processes and interactions at different temporal and spatial scales. The Microwave Remote Sensing group is at the forefront of microwave remote sensing of land surface variables and consists of PhD's, Post-Doc's and senior scientists led by Prof. Dr. Wolfgang Wagner.

To support the research work of our team, we are looking for a Project Assistant with a strong technological interest to support our activities in the field of microwave remote sensing of soil moisture and vegetation. The selected candidate will be responsible for improving existing soil moisture and vegetation algorithms especially focusing on high resolution retrievals from Sentinel-1 backscatter observations. Working with high resolution Sentinel-1 data includes big data analysis and working in a high-performance computing environment.

Your responsibilities:

Developing scientific algorithms in the fields of radar remote sensing
Contribution in software development using object-oriented programming language
Prototyping, implementing, and testing of processing chains and generation of value-added products
Writing technical documents, project reports and scientific journal papers

Your skills

Master degree in earth sciences, environmental sciences, information sciences, geodesy, geoinformation sciences, physics, or similar
Experience in (microwave) remote sensing and derivation of geophysical parameters from remote sensing observations (e.g. soil moisture, water bodies, vegetation, snow and ice, …)
Excellent programming skills (preferably Python)
Strong analytical and technical skills and problem-solving capability
Good written and spoken communication skills in English

We Offer

The opportunity to work in an innovative, dynamic and successful team
A stimulating and friendly working environment at the department
Possibility to enrol in the PhD program of TU Wien and further develop and learn
Freedom to discuss and implement your own ideas
Flexible working hours
Workplace close to city centre, metro and main train station and ample outdoor opportunities in the vicinity of Vienna

The salary for this position is based on the Austrian regulations for university staff. The monthly minimum gross salary ranges between € 1.706,90 (MSc level) for a 25 h/week employment and € 2.731,00 for a 40h/week employment. The monthly salary is paid 14 times per year.

If this job opportunity fits your career development plans, we are looking forward to receiving your application in English (cover letter, CV, relevant publications and references) and in one single PDF file via e-mail to rs-sek@geo.tuwien.ac.at

Candidate selection will start on September 24th, 2020 and will continue until a suitable candidate is found. TU Wien will not refund any cost occurred in the course of an application.

....


Vineesh V
Assistant Professor of Geography,
Directorate of Education,
Government of Kerala.
http://geogisgeo.blogspot.com
๐ŸŒ๐ŸŒŽ
๐ŸŒ๐ŸŒ

Comments

Popular posts from this blog

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 ...

Types of Remote Sensing

Remote Sensing means collecting information about the Earth's surface without touching it , usually using satellites, aircraft, or drones . There are different types of remote sensing based on the energy source and the wavelength region used. ๐Ÿ›ฐ️ 1. Active Remote Sensing ๐Ÿ“˜ Concept: In active remote sensing , the sensor sends out its own energy (like a signal or pulse) to the Earth's surface. The sensor then records the reflected or backscattered energy that comes back from the surface. ⚙️ Key Terminology: Transmitter: sends energy (like a radar pulse or laser beam). Receiver: detects the energy that bounces back. Backscatter: energy that is reflected back to the sensor. ๐Ÿ“Š Examples of Active Sensors: RADAR (Radio Detection and Ranging): Uses microwave signals to detect surface roughness, soil moisture, or ocean waves. LiDAR (Light Detection and Ranging): Uses laser light (near-infrared) to measure elevation, vegetation...

Resolution of Sensors in Remote Sensing

Spatial Resolution ๐Ÿ—บ️ Definition : The smallest size of an object on the ground that a sensor can detect. Measured as : The size of a pixel on the ground (in meters). Example : Landsat → 30 m (each pixel = 30 × 30 m on Earth). WorldView-3 → 0.31 m (very detailed, you can see cars). Fact : Higher spatial resolution = finer details, but smaller coverage. Spectral Resolution ๐ŸŒˆ Definition : The ability of a sensor to capture information in different parts (bands) of the electromagnetic spectrum . Measured as : The number and width of spectral bands. Types : Panchromatic (1 broad band, e.g., black & white image). Multispectral (several broad bands, e.g., Landsat with 7–13 bands). Hyperspectral (hundreds of very narrow bands, e.g., AVIRIS). Fact : Higher spectral resolution = better identification of materials (e.g., minerals, vegetation types). Radiometric Resolution ๐Ÿ“Š Definition : The ability of a sensor to ...

geostationary and sun-synchronous

Orbital characteristics of Remote sensing satellite geostationary and sun-synchronous  Orbits in Remote Sensing Orbit = the path a satellite follows around the Earth. The orbit determines what part of Earth the satellite can see , how often it revisits , and what applications it is good for . Remote sensing satellites mainly use two standard orbits : Geostationary Orbit (GEO) Sun-Synchronous Orbit (SSO)  Geostationary Satellites (GEO) Characteristics Altitude : ~35,786 km above the equator. Period : 24 hours → same as Earth's rotation. Orbit type : Circular, directly above the equator . Appears "stationary" over one fixed point on Earth. Concepts & Terminologies Geosynchronous = orbit period matches Earth's rotation (24h). Geostationary = special type of geosynchronous orbit directly above equator → looks fixed. Continuous coverage : Can monitor the same area all the time. Applications Weather...

Optical Sensors in Remote Sensing

1. What Are Optical Sensors? Optical sensors are remote sensing instruments that detect solar radiation reflected or emitted from the Earth's surface in specific portions of the electromagnetic spectrum (EMS) . They mainly work in: Visible region (0.4–0.7 ยตm) Near-Infrared – NIR (0.7–1.3 ยตm) Shortwave Infrared – SWIR (1.3–3.0 ยตm) Thermal Infrared – TIR (8–14 ยตm) — emitted energy, not reflected Optical sensors capture spectral signatures of surface features. Each object reflects/absorbs energy differently, creating a unique spectral response pattern . a) Electromagnetic Spectrum (EMS) The continuous range of wavelengths. Optical sensing uses solar reflective bands and sometimes thermal bands . b) Spectral Signature The unique pattern of reflectance or absorbance of an object across wavelengths. Example: Vegetation reflects strongly in NIR Water absorbs strongly in NIR and SWIR (appears dark) c) Radiance and Reflectance Radi...