Research scientist (f_m_x) - GNSS Reflectometry

GFZ Helmholtz Centre for Geosciences; Potsdam; Vor Ort; EUR 42.000 - 56.000; Teilzeit

Benefits dieser Stelle

State-of-the-art equipment

Public service benefits

Extensive training opportunities

Career Centre support

Flexible working hours

On-site day-care

Zusammenfassung

GFZ Helmholtz Centre for Geosciences in Potsdam invites applications for a Research Scientist (f/m/x) in GNSS Reflectometry. The role focuses on developing and applying AI and machine learning methods for GNSS reflectometry to retrieve soil moisture and related land-surface variables, within an international, interdisciplinary setting for a fixed-term of twelve months.

Essential qualifications include a Master’s degree and a PhD in geodesy, remote sensing, geophysics, physics, environmental or

Qualifikationen

• Master's degree and a PhD in geodesy, remote sensing, geophysics, physics, environmental or data science, ideally GNSS reflectometry.
• Publications on the development and geophysical application of GNSS reflectometry or related microwave remote sensing.
• Sound knowledge of machine learning methods for processing remote sensing data.
• Experience in GNSS data processing with ground- and satellite-based data.
• Very good command of English (working language).

Aufgaben

• Develop GNSS reflectometry-based remote sensing methods for land-surface applications, focusing on soil moisture and vegetation/snow properties.
• Validate GNSS data products with satellite and in-situ data to improve data quality.
• Apply advanced ML methods to GNSS reflectometry for meteorological and hydrological models.
• Collaborate with international partners and contribute to publications.

Kenntnisse

Machine learning

GNSS reflectometry

GNSS data processing

Python/MATLAB

English proficiency

Ausbildung

Master's degree

PhD in geodesy/remote sensing

Tools

Python

MATLAB

UNIX/Linux

HPC

Jobbeschreibung

The GFZ Helmholtz Centre for Geosciences is one of the world's leading institutions in the field of geosciences. As part of the Helmholtz Association, Germany's largest research organisation, we address global challenges such as natural hazards, climate change and the sustainable use of resources. In doing so, we combine cutting-edge research with social relevance. Our international staff - around 1,200 employees and approx. 500 guests - work in a multidisciplinary way and with a unique infrastructure to research the dynamic processes of the Earth system. Our vision: “Taking the pulse of the Earth to safeguard a habitable planet.”

For section 1.1 Space Geodetic Techniques (department “Geodesy”), we are looking for a:

Research scientist (f_m_x) - GNSS Reflectometry

Reference Number 11507

Our section develops and applies GNSS-based Earth observation techniques, including GNSS reflectometry (GNSS-R) and atmosphere/ionosphere sounding. GNSS reflectometry methods rely on the use of GNSS signals for remote sensing of the Earth’s surface, using both ground- and satellite-based techniques. Data from regional and global ground networks, specialised flight experiments, and low-Earth-orbit satellite missions (e.g., CYGNSS, HydroGNSS) are processed and widely used in Earth System science.

The advertised position focuses on developing and applying artificial intelligence (AI) and machine learning methods for GNSS reflectometry over land, particularly for the retrieval and analysis of soil moisture and related land-surface variables. It combines current and innovative research tasks with operational aspects in an international environment involving interdisciplinary partner institutions. The successful candidate will join the GNSS remote sensing team of section 1.1 for a fixed term of one year.

Your responsibilities:

• Further development of GNSS reflectometry-based remote sensing methods for land-surface applications, particularly for determining soil moisture, as well as for analysing vegetation and snow/freeze–thaw properties under operational conditions, using signals from all GNSS systems (GPS, Galileo, GLONASS, and BeiDou)
• Validation of GNSS-based reflectometry data products through comparison with other remote sensing data (e.g., satellite radar and radiometer observations) as well as in-situ measurements, to improve data quality, quality assurance, and error characterisation
• Development and application of advanced machine learning methods for data analysis and exploiting innovative GNSS reflectometry products to improve meteorological and hydrological models and forecasts
• Active collaboration with international and interdisciplinary partner institutions, and contribution to peer-reviewed publications and conference presentations

About You:

Essential Qualifications:

• A Master's degree (or equivalent) and a PhD in geodesy, remote sensing, geophysics, physics, environmental or data science, or a closely related field, ideally with a focus on GNSS reflectometry
• Proven experience and scientific publications on the development and geophysical application of GNSS reflectometry or related microwave remote sensing techniques
• Sound knowledge of machine learning methods for processing and analysing remote sensing data
• Experience in GNSS data processing and the handling of ground- and satellite-based GNSS remote sensing data
• Very good command of English (working language)

Desirable Qualifications:

• Experience
  • with spaceborne GNSS-R missions and their data products (e.g., CYGNSS, HydroGNSS)
  • in developing scientific software, e.g., in Python and/or MATLAB, as well as in-depth knowledge of UNIX/Linux environments; familiarity with modern deep-learning frameworks
  • with high-performance computing and the handling of large, heterogeneous satellite datasets

Start date: 1st November 2026
Fixed-term: 12 months
Salary: The position is classed as salary group 13 according to “TVöD Bund ”. The salary group is determined on the basis of the Collective Wage Agreement and the respective personal qualifications.
Working hours: Part-time 75% (currently 29.25 h/week)
Place of work: Potsdam

What we offer:

• Ambitious and varied tasks in a dynamic and international research environment
• State-of-the-art equipment
• Public service benefits
• Extensive training opportunities
• Professional career advice offered by our in-house Career-Centre
• Flexible working hours and conditions
• Support with finding a good work-life balance offered by benefit@work
• Institute day-care centre on site
• Working at the Albert Einstein Science Park on the Telegrafenberg in Potsdam
• Workplace within walking distance of Potsdam main train station, or just a short ride on the shuttle bus

Required documents: CV, letter of motivation, certificates/grades

Important Technical Note: Currently, email addresses associated with domains such as @hotmail.com, @outlook.com, or @live.de may experience occasional delays or restrictions in receiving messages. To ensure smooth communication during the application process, we recommend using an alternative email address and providing an additional contact method (e.g., a phone number).

The GFZ actively promote diversity and equal opportunities. We explicitly welcome applications from all qualified individuals, regardless of ethnic and social origin, nationality, gender, sexual orientation and identity, religion/belief, age, and physical or neurodiverse abilities.

“Diversity in perspectives” is one of GFZ's core values. As an integral part of supporting diversity at our centre, we actively promote women in science and in leadership positions. To know more about our Diversity policies, contact the diversity team. If you need more information about our gender equality policies, please do not hesitate to contact our Equal Opportunities Officer and check our Equal Opportunities Plan & Cascade Model.

We look forward to applications from people who enjoy working in diverse teams, where everyone feels respected and valued and can fully develop their own talents. Applicants with severe disabilities and equalised persons will receive preferential consideration if equally qualified.

Data protection information for applicants

In case of any further queries regarding the field of activity, please contact Prof. Dr. Jens Wickert either via email or by phone at [phone]. If you have any general questions about the application process, please contact our recruiting team at our phone number [phone].