Fähigkeiten/Kenntnisse
Your responsibilities
Improving and developing workflows and scientific algorithms for scatterometer (ASCAT, SCA) and SAR (Sentinel-1, NISAR, Biomass) data
Contribution in software development using object-oriented programming language
Technical assistance towards algorithmic performance optimisation, continuous integration, and software maintenance
Prototyping, implementing, and testing of processing chains and generation of value-added products
Writing scientific journal papers, technical documents and project reports
Your skills
Master degree or PhD in data science, remote sensing, earth sciences, information sciences, geodesy, geoinformation sciences, or similar
Experience with machine learning and remote sensing
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
State-of-the-art IT and support staff
Possibility to enroll 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
Stellenbeschreibung
The Research Unit of Remote Sensing of the Department of Geodesy and Geoinformation of TU Wien is seeking a motivated
project assistant in microwave remote sensing (any gender) to work as a Radar Data Scientist
Active microwave remote sensing data with a high spatiotemporal resolution are crucial for the monitoring of dynamic land surface processes. Recent advances in the capabilities of spaceborne SAR and scatterometer missions, particularly from the Copernicus Sentinel and EUMETSAT Metop satellite series, provide the opportunity to monitor land surface variables worldwide. However, working with such large data volumes requires optimized workflows to take full benefit of advances in open-source software and high-performance computing workflows. Furthermore, novel machine learning techniques are needed for exploring the data and building robust models to retrieve the required information.
The Remote Sensing unit of TU Wien is at the forefront of microwave remote sensing of land surface variables. It has developed scientific algorithms that are the basis for soil moisture and flood monitoring services operated by the European Copernicus Programme and EUMETSAT. The unit consists of ~25 people in total, including PhDs, Post-Docs and senior scientists, and is led by Prof. Dr. Wolfgang Wagner.
To support the research work of our team, we are looking for a Project Assistant (PhD or PostDoc) with a background in radar data analysis and/or data science. Strong programming skills and experience with working with big data in high performance computing environments is desirable. The selected candidate will be responsible for improving workflows and developing models for the analysis of backscatter datacubes. The methods and models shall be applied from continental to global scales. Therefore, the candidate will work on the high-performance computing facilities at TU Wien and the EODC Earth Observation Data Centre.
Sonstige Informationen
The salary for this position is based on the Austrian regulations for university staff. The monthly minimum gross salary ranges between € 3.714,80 (MSc level) and € 4.932,90 (PostDoc level) for a 40h/week employment. The monthly salary is paid 14 times per year. The extent of working hours per week can be negotiated.
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 with the subject ‘Radar Data Scientist’ to apply@geo.tuwien.ac.at
Candidate selection will start on November 17th, 2025 and will continue until a suitable candidate is found. The contract will initially be limited to 2 years (with possible extensions up to 6 years). TU Wien will not refund any cost occurred in the course of an application.