Doctoral Student in Glaciology and Glacial Hazards 100%

ETH Zurich; Zürich; Vor Ort; CHF 55.000 - 70.000; Vollzeit

Zusammenfassung

The Doctoral Student role at ETH Zurich's Glaciology group invites applications for the ICEFAL project in Zürich for four years. It sits within ETH's VAW and collaborates with WSL, aiming to assess ice temperatures and hazards in high-mountain glaciers using fieldwork and thermo-mechanical modeling.

Applicants should hold a Master’s in geophysics or related fields, have excellent English (C1–C2), enjoy team work, and be willing to conduct alpine fieldwork and apply geospatial tools (QGIS) and

Qualifikationen

• Master's degree in geophysics, physics, environmental or earth science, environmental engineering, or related fields
• Excellent knowledge of English, both in oral and written form (C1 to C2)

Aufgaben

• Create an inventory of hanging glaciers using manual mapping and possibly machine-learning aided approaches
• Perform field measurements at high-elevation sites in Switzerland
• Collect measurements of ice temperatures, complemented with mass balance measurements, firn cores, and long-term ice-avalanche data analyses
• Leverage field and meteorological data to drive a thermo-mechanical model (Elmer/Ice) to study temperature evolution and stability
• Predict basal temperatures of hanging glaciers and derive a hazard index for the study region

Kenntnisse

English proficiency

Ausbildung

Master's degree in geophysics or related field

Tools

QGIS

Python

MATLAB

Jobbeschreibung

We are looking for a Doctoral Student to join the team of the Professorship of Glaciology for four years. Our group is affiliated with ETH's Laboratory of Hydraulics, Hydrology and Glaciology (VAW) as well as the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL).

Project background

The Doctoral Student is offered within the project Stability of cold hanging glaciers under climate warming in the French and Swiss Alps (ICEFAL). ICEFAL is composed of a Swiss-French consortium studying the effects of rising ice temperatures on the stability of cold hanging glaciers and their likelihood to be the source of large ice avalanches. The overarching goal of the project is to provide a data-driven method to create an index of hazard potential for all hanging glaciers in the French and Swiss Alps, with applicability beyond the study region. The index combines geometric and thermal considerations. To achieve this goal, the project combines fieldwork, state-of-the-art thermo-mechanical modeling, and regional-scale geospatial analyses.

Job description

To achieve the project goals, the successful candidate will:

• Create an inventory of hanging glaciers using manual mapping and possibly machine-learning aided approaches
• Perform field measurements at high-elevation sites in Switzerland
• The goal is to collect measurements of ice temperatures, which will be complemented with mass balance measurements, firn cores, and analyses of long-term ice-avalanche monitoring data
• Leverage the collected field data as well as available meteorological data to drive a state-of-the-art thermo-mechanical model (Elmer/Ice) to investigate the past and future evolution of the temperature field of the investigated glaciers and possible repercussions on stability
• Predict basal temperatures of hanging glaciers from approaches developed at VAW-Glaciology and by project partners, and intersect these with stability criteria to derive a hazard index for hanging glaciers in the study region

The work will be supported by postdoctoral and senior researchers of VAW-Glaciology and is based in Zurich.

Profile

The successful candidate brings a combination of the following skills and experiences to the project:

Required

• A Master's degree in geophysics, physics, environmental or earth science, environmental engineering, or related fields
• Excellent knowledge of English, both in oral and written form (C1 to C2)

Desired background and interest in the following topics

• A keen interest in high-mountain hazards
• A solid foundation in math and physics
• Glaciologic training or expertise
• A willingness to conduct fieldwork in a high-mountain environment
• Geospatial analysis and processing skills (e.g., QGIS)
• Experience with hazard and risk management concepts
• Prior experience with physics-based numerical modeling
• Familiarity with a scripting language (e.g., Python or Matlab)
• Outdoor or mountaineering experiences
• Interest and experience working in teams
• Knowledge of German and/or French

We stress that successful applicants do not need to come with all desired skills/experiences. Furthermore, candidates with non-traditional academic backgrounds are strongly encouraged to apply.

We offer

We are a dynamic and international research group, fully dedicated to the study of glaciers, ice sheets and the impacts resulting from their changes. We value a welcoming, friendly, and supportive working atmosphere and strive for excellence in all we do. The working languages in our group are English, Swiss German, French, and Italian. For more information on our group and activities, please visit the following website and/or our social media channels (@VAW_glaciology). Working, teaching and research at ETH Zurich

We value diversity and sustainability

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us - we are consistently working towards a climate-neutral future.

Curious? So are we.

Further information about the Laboratory of Hydraulics, Hydrology and Glaciology (VAW) can be found on our Website. Questions regarding the position should be directed to Dr. Mylène Jacquemart, [e-mail] (no applications).

We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence.

We will begin reviewing applications on 15 November 2026, and applications will close once a suitable candidate is found. The optimal starting date is March 1, 2027.