Student Research Assistant for Developing Python tools for holographic cloud-particle imager

The Atmospheric Physics group at the Institute for Atmospheric and Climate Science (IAC), ETH Zurich, has an opening for a Student Research Assistant. We are seeking a motivated individual to develop Python tools for analyzing data from our holographic cloud particle imagers. Our research group studies the crucial role of clouds and aerosols in the climate system, aiming to better understand how cloud microphysical processes drive both precipitation formation and the radiative impact of clouds. This role directly supports these efforts by enhancing our data processing capabilities.

The HoloPython project aims to develop a specialized Python-based software tool for the comprehensive analysis of data from holographic imaging systems. These systems, deployed during field measurements, capture high-resolution imagery of cloud droplets and ice crystals to determine their size distributions and types. The resulting large datasets (often several terabytes) necessitate advanced software capabilities. Key functionalities of the HoloPython tool will include:

• Efficiently handling and managing large data volumes.
• Performing numerical reconstruction of holograms, optimized for high-performance computing (HPC) environments.
• Classifying ice crystal habits using Convolutional Neural Networks (CNNs).
• Providing intuitive graphical interfaces for user interaction and data visualization.

Your primary responsibilities will involve advancing the HoloPython project by:

• Developing and implementing Python tools to analyze data from a holographic imager.
• Migrating and enhancing an existing MATLAB software package to Python.
• Designing and implementing user-friendly graphical user interfaces (GUIs) for data interaction and visualization.
• Optimizing software performance using CUDA and scientific computing libraries (e.g., NumPy, SciPy).
• Workload: Approximately 15 hours per week on average during the semester, with the possibility of increased working hours (up to 40 hours/week) during semester breaks.
• Duration: We are ideally seeking individuals who can commit to this role for at least one year, with the potential for a longer engagement.

• Currently enrolled as a student at ETH Zurich or another Swiss university.
• Proven experience in software development.
• Strong Python programming skills, with demonstrable experience in several of the following areas:
  • GUI development (e.g., PyQt, Tkinter)
  • CUDA for GPU acceleration
  • Scientific computing libraries such as NumPy and SciPy
• A keen interest in scientific computing, atmospheric sciences, or advanced instrumentation is highly advantageous.
• Ability to work both independently and collaboratively within an interdisciplinary team.

• Direct involvement and active participation in cutting-edge atmospheric research.
• Significant opportunities to contribute to the development of scientific tools used in real-world research and analysis.
• A collaborative and supportive work environment with flexible working hours designed to accommodate your academic schedule, including study periods for exams.
• Standard ETH student research assistant salary.

We look forward to receiving your online application, including the following documents:

• A short motivation letter (max. 1 page) highlighting your relevant experience and interest in the position.
• Your current Curriculum Vitae (CV).

Review of applications will continue until the position is filled. The preferred start date is as soon as possible. For any questions related to the project or this position, please do not hesitate to contact Dr. Jan Henneberger (Write an email).