Max-Planck-Institut für Bildungsforschung - Department: Humans and Machines
The Max Planck Institute for Human Development is dedicated to the study of human development and education. Researchers of various disciplines – including psychology, education, sociology and medicine, as well as history, economics, computer science and mathematics – work together on interdisciplinary projects at the Berlin Institute. The research questions they examine include how people make effective decisions even under time pressure and information overload, how the interaction between behaviour and brain function changes over the lifespan, as well as how human emotions change in a historical context and how they have affected the course of history itself.
Master Student Research Assistant in computer science
The Centre for Humans and Machines (CHM) within the Max Planck Institute for Human
Development is seeking aMaster Student Research Assistant to work on a research project related to the Machine-Machine Culture. The selected student will work under Dr. Niccolo Pescetelli and CHM Director Assoc. Prof. (MIT) Iyad Rahwan, Ph.D.
The proposed project aims at using state-of-the-art generative models (like GANs and VAEs) to produce new multimedia artefacts (e.g., pictures, music, text) that are indistinguishable from human-generated artefacts. Previous work has shown that deep learning generative models are able to achieve impressive results in a range of domains, including pictures, music, fashion and speech generation. The current projects wants to replicate these results (particularly in the image domain), and train and test algorithms that can later be used in behavioral experimental designs.
The ideal student researcher will be undertaking a Masters in Computer Science, Physics, Applied Maths, or a related discipline.
The following are required:
Knowledge of machine learning and statistical modeling, most likely through Masters level classes and projects.
Experience with suitable programming packages such as PyTorch, TensorFlow, and Keras in Python (preferred) or R.
Knowledge of recent advances in deep learning generative models, like GANs and VAEs.
Experience with algorithmic image processing and classification
How to apply:
The Max Planck Society strives for gender and diversity equality. We welcome applications from all backgrounds. The Max Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals.
Please send your application without a photo, as one single PDF-document to
email@example.com. The application should include (a) a short motivation
letter, (b) CV, and (c) relevant school/university certificates and references.