Researcher – Big Data Analytics: The Institute of Geo-Hydroinformatics at TU Hamburg is seeking a researcher for a full-time scholarship position under the UNU Hub on Engineering to Face Climate Change initiative. The position focuses on utilizing advanced modeling techniques, AI approaches, satellite remote sensing, and big data analytics to detect and quantify dust storms on a global scale. The successful candidate will contribute to scientific research, develop predictive models, and assess socio-economic impacts. The scholarship offers a monthly remuneration of 2760 Euro (before taxes) and is available for a maximum of four years. Applicants from the Global South are especially encouraged to apply.
Researcher (m/f/d) – Big Data Analytics for Global Dust Storm Detection and Prediction
Bold Summary Table:
| Field | Details |
|---|---|
| Institute | Institute of Geo-Hydroinformatics, TU Hamburg |
| Position | Researcher (m/f/d) |
| Project | Big Data Analytics for Global Dust Storm Detection and Prediction |
| Employment Type | Full-time (max. 4 years) |
| Remuneration | 2760 Euro/month (before taxes) |
| Application Deadline | 01.04.2025 |
Bold Study Area:
Geo-Hydroinformatics, Environmental Engineering, Civil Engineering, Hydrology, Ecohydrology, Fluid Mechanics
Bold Scholarship Description:
The UNU Hub on Engineering to Face Climate Change addresses critical environmental challenges, particularly those affecting the Global South. This scholarship is dedicated to tackling global dust storm issues using big data analytics and AI-driven methodologies. The researcher will focus on satellite remote sensing, computational tools, and predictive modeling to measure and analyze dust storm impacts. The position offers collaboration opportunities with internationally recognized scientists and institutions, access to advanced research platforms, and a path toward a PhD degree.
Bold Eligibility:
- MSc in Environmental Engineering, Civil Engineering, Hydrology, Ecohydrology, Fluid Mechanics, or a related field
- Proven experience in large-scale modeling, big data analytics, and satellite remote sensing
- Strong academic performance, peer-reviewed publications, and research recognition
- Excellent communication skills in English (oral and written)
- Commitment to international collaboration, teamwork, and student supervision (if required)
Bold Required Documents:
- Cover letter
- Curriculum vitae (CV) in table form
- Proof of completed training and/or university degrees
- Job references or certificates of employment
- Proof of foreign educational qualifications (if applicable), including anabin excerpts or recognition documents
Bold How to Apply:
Applicants must submit their complete application documents via the online application system. For further information, contact Eva Bayley at +49 40 428 78 28 71 or email eva.bayley@tuhh.de.
Bold Last Date:
01 April 2025
