Join Our Team! We're Hiring
Are you passionate about biogeochemistry and machine learning? Do you thrive in a dynamic and collaborative environment? We’re looking for a motivated Post-doc on Machine Learning Modeling of Arsenic Groundwater Contamination in Vietnam to join our team at ETH Zurich!
In the frame of the DeltAs project, this postdoctoral position will investigate the spatially and temporally heterogeneous distribution of groundwater As contamination using modeling approaches. Furthermore, this position will investigate future scenarios of anthropogenic impact on the delta water systems and related groundwater As contamination. Areas of interest for this position include, but are not limited to, geostatistical modeling, interpretable and explainable machine learning, or hybrid modeling by combining process-based and data-driven approaches. Besides your own main project focus, you will contribute to the supervision of PhD and undergraduate students in the group.
Your profile:
- You have a PhD degree in environmental sciences, environmental engineering, data science, or related fields, or expect to obtain such a degree in early 2025.
- Excellent academic track record, with a strong background in machine learning methods and biogeochemistry.
- Programming experience using languages such as Python, R, etc.
- You are self-motivated, have critical thinking skills and the ability to work independently.
- You have an interdisciplinary and collaborative mindset, and desire to work with people from different disciplines and backgrounds.
- You are proficient in English, both verbally and written.
We offer:
ETH Zurich is a family-friendly employer with excellent working conditions. We foster a modern and supportive group culture and value diversity, independence, and initiative. The position is embedded in an exciting and interdisciplinary research environment with connections to national and international project partners in Vietnam and the United States.
A competitive salary is paid according to the ETH standard. The initial contract duration is for one year, with possibility of extensions up to three years.
How to apply:
We look forward to receiving your online application with the following documents:
- a cover letter indicating your motivation for the position
- a 1-page statement indicating past research experience relevant for the position and a brief research vision
- a curriculum vitae with publication list
- a complete academic transcript including undergraduate and graduate courses
- contact information of 2-3 potential referees
Ready to embark on this exciting journey with us? Apply now and let’s grow together!
Apply here!