PhD Position in Machine Learning for Very Long Baseline Interferometry

The Chair of Space Geodesy invites applications for an exciting PhD opportunity focused on advancing Very Long Baseline Interferometry (VLBI) research. VLBI is undergoing transformative advancements due to the global rollout of the VLBI Global Observing System (VGOS) and the upcoming Genesis satellite mission by the European Space Agency (ESA). These advancements present unprecedented opportunities to revolutionize data analysis and simulation methodologies in the field.

The selected PhD candidate will join an innovative research team to explore cutting-edge techniques in VLBI.
The primary objective is to develop and apply novel strategies based on AI/machine learning (ML) to enhance VLBI data analysis and simulation. Specific tasks include:

• Designing and training ML models on VLBI observations and analysis residuals
• Simulation of space geodetic observations using AI/ML
• Contributing to the integration of ML methodologies in the context of VGOS and the Genesis mission
• Collaborating with the international VLBI and Genesis research communities to align developments with emerging needs and standards

In addition to research responsibilities, the candidate will contribute to teaching activities and the supervision of student projects.

Required Qualifications:

• A Master's degree (MSc) in geodesy, geosciences, computer science, physics, or a closely related discipline
• A strong foundation in mathematics, physics, data analysis, and programming
• Excellent communication and collaboration skills, with fluency in English (spoken and written)

Preferred Qualifications (Not Mandatory):

• Experience with the analysis or simulation of space geodetic observations
• Knowledge of machine learning methods, frameworks, and applications
• Familiarity with VLBI is a plus
• A demonstrated ability and willingness to learn new technologies and adapt to evolving research challenges

• A full-time 4-year PhD position at ETH with conditions and benefits defined here
• Independent research at a world-leading academic institution
• A dynamic and international team that embraces fresh perspectives
• A supportive and inclusive work environment that fosters professional growth and development
• Opportunities to attend conferences and collaborate with international experts
• Flexible working hours with the option for part-time home office
• An attractive workplace surrounded by nature with quick access to the city center

The position is set to begin as soon as possible.