The Empirical Inference Department together with the Optics and Sensing Laboratory at Max Planck Institute for Intelligent Systems are looking for a student (m/f/d) to join a project in astronomical all-sky data analysis using methods of machine learning and causal modeling. This project is suitable for a longer internship or for a Master’s thesis.
About the job:
- The project will operate a setup based on a Raspberry Pi and a cooled astronomic CMOS camera.
- It features a high- quality fish-eye lens producing high resolution images of the entire sky.
- The setup produces hundreds of sky images per night, allowing to generate large scale datasets of sky images.
- Methods used will be such as half-sibling regression and consensus ranking methods to build data-driven all-sky models of stationary and transient sources (astronomical and earth-based).
- An initial contract will be offered for 6 to 9 months.
- Application is open to a motivated student with a keen interest in astronomy and data analysis.
- Applicant must have background in computer science, physics, astronomy or mathematics as well as strong academic performances in relevant bachelor’s and master’s courses.
- Good oral and written communication skills in English are must.
How to apply
Send application (CV, a short motivational letter, current transcripts of BSc/MSc studies, and other documentation helpful to evaluate your background, if available) in a single PDF file to firstname.lastname@example.org
|Organization||Max Planck Institute for Intelligent Systems|
Computer Science, Physics, Astronomy, Mathematics
|Deadline||Open until filled|