Sd-25105 Phd in Sar-based Soil Moisture and Vegetation Water Content Estimation

Description
**Temporary contract | up to 48 months (14+22+12 months) | Belval**:
***:
**Are you passionate about research? So are we Come and join us**:
The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities in their decisions and businesses in their strategies.

**How will you contribute?**:
Microwave remote sensing measurements are sensitive to the dielectric constant and object geometry. So far, we have used this technology to estimate the vegetation water content (VWC), provide information on the vegetation structure, and estimate the surface soil moisture (SM). It is well known that the canopy penetration depth varies depending on the wavelength, with shorter wavelengths providing information on the top layer of the canopy and longer wavelengths being most sensitive to the characteristics of trunks and soils. Recent research has shown that phase difference between two temporally separated SAR acquisitions is also susceptible to SM, VWC, and atmospheric delay. As a result, the objective of this PhD project is to develop models able to fuse backscattering and phase information to estimate SM and VWC more accurately.

The outcomes of this project will help to better retrieve the soil moisture in the presence of vegetation at high spatial resolution and, at the same time, estimate the plant water content. Automatic and reliable algorithms for estimating the aforementioned parameters on a global scale will enable the implementation of operational services in precision agriculture and forest management. This PhD project will enhance our capacity to comprehend and foresee the resilience and vulnerability of forest ecosystems.

Conduct extensive background literature analysis.

Plan and organise experiments to define and test hypotheses and develop forefront research.

Publish the results of the study in peer-reviewed journals.

Present papers at scientific conferences.

**Education**
- A relevant MSc degree in e.g. engineering, mathematics, physics, remote sensing and machine learning.

**Experience and skills**
- Strong interest in modelling, model-data integration, and remote sensing data analysis.
- Knowledge of programming, remote sensing, and electromagnetism would be an advantage

**Language skills**
- Proficiency in written and spoken English.

**Your LIST benefits**:

- An organization with a passion for impact and strong RDI partnerships in Luxembourg and Europe that works on responsible and independent research projects
- Sustainable by design, empowering our belief that we play an essential role in paving the way to a green society
- Innovative infrastructures and exceptional labs occupying more than 5,000 square metres, including innovations in all that we do
- An environment encouraging curiosity, innovation and entrepreneurship in all areas
- Personalized learning programme to foster our staff’s soft and technical skills
- Multicultural and international work environment with more than 50 nationalities represented in our workforce
- Diverse and inclusive work environment empowering our people to fulfil their personal and professional ambitions
- Gender-friendly environment with multiple actions to attract, develop and retain women in science
- 32 days’ paid annual leave, 11 public holidays, 13-month salary, statutory health insurance
- Flexible working hours, home working policy and access to lunch vouchers
- A motivation letter oriented towards the position and detailing your experience
- A scientific CV with contact details
- List of publications (and patents, if applicable)
- Contact details of 2 references

**Application procedure and conditions**

We kindly request applicants to provide their nationality for statistical purposes only, as part of our commitment to promoting diversity and ensuring equal opportunities in our workforce. This information will be kept confidential and will not be used for any discriminatory purposes.

LIST is dedicated to maintaining an inclusive work environment and is an equal opportunity employer. We are committed to attracting, hiring, and retaining a diverse workforce. All applicants will be considered for employment without discrimination based on national origin, race, colour, gender, sexual orientation, gender identity, marital status, religion, age, or disability.

**PhD additional conditions**:

- Supervisor at LIST: Dr. Marco CHINI
- Work location: Luxembourg Institute of Science and Technology (LIST), BelvaL, Luxembourg
- PhD enrolment: University of Luxembourg, Belval, Luxembourg

Your master diploma has to be recognized in Luxembourg. Please refer to:
Languages English Education Master Experience 0+ years